GDSC_YAPAY_ZEKAYA_GİRİŞ_EĞİTİMİ_PANDAS_KÜTÜPHANESİ.ipynb

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      "name": "GDSC YAPAY ZEKAYA GİRİŞ EĞİTİMİ PANDAS KÜTÜPHANESİ",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/ceydatekin/NumpyPandasKutuphaneleri/blob/main/GDSC_YAPAY_ZEKAYA_G%C4%B0R%C4%B0%C5%9E_E%C4%9E%C4%B0T%C4%B0M%C4%B0_PANDAS_K%C3%9CT%C3%9CPHANES%C4%B0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pandas "
      ],
      "metadata": {
        "id": "xHcyCLVxGgl2"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U6DyjG8rq7Kl"
      },
      "source": [
        "* Panel data kısaltılmışı = Ekonometrik ve finansal çalışmalar için doğmuştur\n",
        "* Zaman indeksine önem verir.\n",
        "* Veri manipülasyonu ve veri analizi için yazılmış açık kaynak kodlu bir Python kütüphanesidir.\n",
        "* Yapısal veri setleriyle esnek çalışma sağlar\n",
        "* NumPydan farklı olarak farklı tipler olabilmektedir.\n",
        "* Temeli 2008 yılında atılmıştır\n",
        "* R DataFrame yapısını Python dünyasına taşımış ve DataFramer'ler üzerinde hızlı ve etkili çalışabilme imkanı sağlamıştır."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KF2x5EF0q7Km"
      },
      "source": [
        "## Pandas Serisi Oluşturma"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PUDNYTRQq7Kn"
      },
      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ND4B27rOq7Ko",
        "outputId": "25527d4a-7300-4667-aa15-3951f698fe6e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    1\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "pd.Series([1]) #arraydakiler numpy vektörlerinden farklı olarak indeksleriyle bir tutulurlar."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GY9Jhihoq7Ko",
        "outputId": "42c5a21a-26e5-4db7-e72c-cff87a57c5fb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    10\n",
              "1    88\n",
              "2     3\n",
              "3     4\n",
              "4     5\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "pd.Series([10,88,3,4,5])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QhFWymrNq7Kp",
        "outputId": "0fef7814-6e95-466f-cae9-3582c3f17590",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "0    10\n",
            "1    88\n",
            "2     3\n",
            "3     4\n",
            "4     5\n",
            "dtype: int64\n"
          ]
        }
      ],
      "source": [
        "seri = pd.Series([10,88,3,4,5])\n",
        "print(type(seri))\n",
        "print(seri)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zGBwPmpmq7Kp",
        "outputId": "8f77305d-182d-480a-b738-92bcabf87432",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[RangeIndex(start=0, stop=5, step=1)]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "seri.axes #index bilgilerini gösterir başladığı ve son buldupuna kadar şeklindedir"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5Idljd7tq7Kq",
        "outputId": "5c96d82a-a4ca-4064-f886-a1b45797a816",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('int64')"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "seri.dtype #içerisindeki değerler tipi"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4CzqHk9Sq7Kq",
        "outputId": "535968a8-9efc-4045-a433-505049d2888a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "seri.size #eleman sayısı"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_xU-2E8Wq7Kq",
        "outputId": "460f94d2-9d4c-46ad-e19d-6819a2a7ff5b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "seri.ndim #boyutu"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fsT6ZX0Eq7Kr",
        "outputId": "c3b43fa2-5950-4dd4-88a2-742eb60c23ee",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([10, 88,  3,  4,  5])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "seri.values #sadece değerlerine erişmek için numpy arrayi görüntüsü"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0ZMRefo_q7Kr",
        "outputId": "3674f81a-3d9a-49c4-bf4d-db97ebcec847",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    10\n",
              "1    88\n",
              "2     3\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "seri.head(3) #arrayin elelmanlarına baştan bakmak"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GixQsMA7q7Ks",
        "outputId": "2ac831bd-0a98-45cf-c581-f09519e06651",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2    3\n",
              "3    4\n",
              "4    5\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "seri.tail(3) #arrayin elemanlarına sondan bakmak"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KoYUlpeEq7Ks"
      },
      "source": [
        "### İndex İsimlendirilmesi"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gMf9vdCCq7Ks",
        "outputId": "3b7cb1a9-05e4-40e4-a0bb-6154c6622965"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0     99\n",
              "1     22\n",
              "2    332\n",
              "3     94\n",
              "4      5\n",
              "dtype: int64"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pd.Series([99,22,332,94,5])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "po8h7JvLq7Ks"
      },
      "outputs": [],
      "source": [
        "a = pd.Series([99,22,332,94,5], index = [1,3,5,7,9])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SfFmdenKq7Kt",
        "outputId": "a4b0e0d5-7516-4c74-ba0c-0fb9cee0405b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[Int64Index([1, 3, 5, 7, 9], dtype='int64')]"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a.axes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SThH99Rnq7Kt",
        "outputId": "8e0983a3-c1b7-4f01-ce31-bff7c6e8a9e0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1     99\n",
              "3     22\n",
              "5    332\n",
              "7     94\n",
              "9      5\n",
              "dtype: int64"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KdT28kjxq7Kt",
        "outputId": "2ba1a0db-e61f-42da-c52d-4c102554459d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "a     99\n",
              "b     22\n",
              "c    332\n",
              "d     94\n",
              "e      5\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "a = pd.Series([99,22,332,94,5], index = [\"a\",\"b\",\"c\",\"d\",\"e\"])\n",
        "a"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a.axes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KJqzD4hPInXH",
        "outputId": "e1917384-55ad-42dc-927b-0c1189a0b6f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Index(['a', 'b', 'c', 'd', 'e'], dtype='object')]"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a[\"a\"]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5TEyrmnKIsp-",
        "outputId": "133a06bc-12b4-46df-bb38-e7871eefa0dc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "99"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a[\"a\":\"c\"]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ISzJsjDiI2nW",
        "outputId": "7f4725a7-8092-4777-8c66-1135b62128c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "a     99\n",
              "b     22\n",
              "c    332\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FrXOpOGZq7Ku"
      },
      "source": [
        "### Sözlük Üzerinden Series Oluşturmak"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fp8cUC2lq7Ku"
      },
      "outputs": [],
      "source": [
        "sozluk = pd.Series({\"reg\":10, \"log\":11, \"cart\":12})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BU29efDcq7Ku",
        "outputId": "781fea49-0a1e-4c03-a142-5111d6f0f923",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "reg     10\n",
              "log     11\n",
              "cart    12\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "sozluk"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6h5Bku04q7Ku"
      },
      "outputs": [],
      "source": [
        "sozluk = {\"reg\":10, \"log\":11, \"cart\":12}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Xux82UaRq7Ku"
      },
      "outputs": [],
      "source": [
        "seri = pd.Series(sozluk)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YW0GeCSiq7Kv",
        "outputId": "997875ae-c7f6-4a8f-bf90-e937f06f894a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "reg     10\n",
              "log     11\n",
              "cart    12\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "seri"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.concat([seri,seri])  #İki seriyi birleştirerek oluşturma"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "evVlNlrpJLOm",
        "outputId": "1290e77f-8aba-4ea0-dfff-6f8ba761605f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "reg     10\n",
              "log     11\n",
              "cart    12\n",
              "reg     10\n",
              "log     11\n",
              "cart    12\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Eleman İşlemleri"
      ],
      "metadata": {
        "id": "JD2unwJFJXbE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
      ],
      "metadata": {
        "id": "aI_rVxxwJa7V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "a = np.array([1,2,35,44,54])\n",
        "seri= pd.Series(a)\n",
        "seri"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "crNUc3OVJfRV",
        "outputId": "28cc50e6-b077-42a0-a6d6-a725737436b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     1\n",
              "1     2\n",
              "2    35\n",
              "3    44\n",
              "4    54\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri[0:3]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dMSAVmNDJgtx",
        "outputId": "2b8dbce0-6fcf-435d-ae76-e54bc6a41aa6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     1\n",
              "1     2\n",
              "2    35\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri = pd.Series([121,200,150,99], index=[\"reg\", \"loj\",\"cart\",\"rf\"])\n",
        "seri"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jeo5g26OJlBx",
        "outputId": "82b9bc22-972b-4001-92e7-7a54c41e5bd5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "reg     121\n",
              "loj     200\n",
              "cart    150\n",
              "rf       99\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri.index #serinin indexlerini gösterir"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G58xb-LqJndK",
        "outputId": "1d85a530-f0e2-44e5-8ee6-abfdfb3dd7a8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['reg', 'loj', 'cart', 'rf'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri.keys #hem indexleri hem değerleri gösterir"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HGcqdSmvJqjJ",
        "outputId": "d6e53621-6917-4ce1-eea6-495b3a3253c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method Series.keys of reg     121\n",
              "loj     200\n",
              "cart    150\n",
              "rf       99\n",
              "dtype: int64>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "list(seri.items()) #normalde hata alınır liste şeklinde olmalıdır."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qKeSD3rOJuJ5",
        "outputId": "1257b2f4-3ee0-4848-99ce-b7dd6ee1a38d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('reg', 121), ('loj', 200), ('cart', 150), ('rf', 99)]"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri.values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vSPX82idJ2X9",
        "outputId": "76f1e0a6-2c89-438d-f379-5f37243c947c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([121, 200, 150,  99])"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Eleman Sorgulama"
      ],
      "metadata": {
        "id": "b4QTzrIdKDm0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\"reg\" in seri"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VfeVdqlEKB98",
        "outputId": "f324441e-4874-4178-bd14-009f0ebbef46"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"a\" in seri"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5T20h-LpKI4M",
        "outputId": "1dd05500-6547-4231-c4d2-91dcb42f1ccb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri[\"reg\"]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3SQLn2PzKKRM",
        "outputId": "82b72036-d04f-4085-9a27-8703465945a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "121"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri[[\"rf\", \"reg\"]] #fancy işlemi"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pEwPhtZ8KLil",
        "outputId": "0fcbf618-7f1b-4db2-e9ca-c59a98f9393f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "rf      99\n",
              "reg    121\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "seri[\"reg\"] = 130\n",
        "seri[\"reg\"]\n"
      ],
      "metadata": {
        "id": "uWjto3euKM72"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "seri[\"reg\":\"cart\"] #cartın dahil oluşuna dikkat ediniz :)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "luDOSy_eKQme",
        "outputId": "ad36decf-5d2c-45f4-8d63-b42dece906ec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "reg     130\n",
              "loj     200\n",
              "cart    150\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pandas Dataframe\n",
        "![Resim1.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "EE25D8SmKgOL"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yTTpy_FPq7hD"
      },
      "source": [
        "## Pandas Dataframe Oluşturma"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "G_6RVaXQq7hF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "70dc599c-3ba3-47bf-82a1-0f79e85b0f9b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 3, 339, 67, 90]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "l = [1,2,3,339,67,90]\n",
        "l"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b = pd.DataFrame(l, columns=[\"df\"])\n",
        "b"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "YSDgOnHyKi5l",
        "outputId": "a3824e82-4f10-41fb-f1b3-b8c8386128b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e4b0ed3d-57ec-432a-bcbd-d1c67e41f34d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>df</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e4b0ed3d-57ec-432a-bcbd-d1c67e41f34d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e4b0ed3d-57ec-432a-bcbd-d1c67e41f34d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e4b0ed3d-57ec-432a-bcbd-d1c67e41f34d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "    df\n",
              "0    1\n",
              "1    2\n",
              "2    3\n",
              "3  339\n",
              "4   67\n",
              "5   90"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b[\"df\"].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mW3vdWq3Kp_c",
        "outputId": "080b2af2-f6ec-4061-c853-5817230a2bf9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "83.66666666666667"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b[\"df\"].std()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZA4aMZ6fLEkL",
        "outputId": "1126f9e4-2821-487d-e949-d50e55c1ea43"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "130.7848105349649"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b[\"df\"].var()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_BhXcOZ3LGH3",
        "outputId": "f1b75b58-b5df-40d1-f0d9-754b45a22cd7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "17104.666666666664"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b[\"df\"].median()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bN54BRaVLHP8",
        "outputId": "f60f4ad0-4744-4f3b-d97c-21335f069fdf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "35.0"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "m = np.arange(1,10).reshape((3,3))\n",
        "m"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VhiWTx85LIp8",
        "outputId": "e6e266d9-83c8-4888-c0d3-a8efe06bc84b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 2, 3],\n",
              "       [4, 5, 6],\n",
              "       [7, 8, 9]])"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
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    {
      "cell_type": "code",
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        "pd.DataFrame(m, columns = [\"var1\",\"var2\",\"var3\"])"
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        "outputId": "ed857213-3be4-45bb-d8fd-212b19ea577f"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-189f5fbb-42e7-4b81-aa83-52a7538f03c1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  </div>\n",
              "  "
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              "   var1  var2  var3\n",
              "0     1     2     3\n",
              "1     4     5     6\n",
              "2     7     8     9"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "n = np.random.randint(0,10,(3,3))\n",
        "pd.DataFrame(n, columns = [\"var1\",\"var2\",\"var3\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        },
        "id": "iE-CdJcXLQ-t",
        "outputId": "92850ac3-b3b7-4f50-ac1b-ab25a63f636f"
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        {
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4782a68a-0505-49d3-8b60-21e8d02f36a8 button.colab-df-convert');\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4782a68a-0505-49d3-8b60-21e8d02f36a8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  "
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              "   var1  var2  var3\n",
              "0     8     4     3\n",
              "1     2     1     3\n",
              "2     3     5     0"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Dataframe İsimlendirme"
      ],
      "metadata": {
        "id": "PDMhXdbALlrv"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
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              "\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e26b8505-3492-4d46-8a4e-f6d3761083a5 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e26b8505-3492-4d46-8a4e-f6d3761083a5');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0     8     4     3\n",
              "1     2     1     3\n",
              "2     3     5     0"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "df = pd.DataFrame(n, columns = [\"var1\",\"var2\",\"var3\"])\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5WD1nUzuq7hM",
        "outputId": "ba5bda98-0da7-4132-b80a-9570af82cbe9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['var1', 'var2', 'var3'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ],
      "source": [
        "df.columns "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uyLIAuPeq7hM"
      },
      "outputs": [],
      "source": [
        "df.columns = (\"deg1\",\"deg2\",\"deg3\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WdTsfN5wq7hN",
        "outputId": "2b45fcd5-41b0-4777-9231-c18dcb20ca04",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-6613cd19-6584-4d10-9ade-7640c32d9646\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>deg1</th>\n",
              "      <th>deg2</th>\n",
              "      <th>deg3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6613cd19-6584-4d10-9ade-7640c32d9646')\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6613cd19-6584-4d10-9ade-7640c32d9646 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6613cd19-6584-4d10-9ade-7640c32d9646');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   deg1  deg2  deg3\n",
              "0     8     4     3\n",
              "1     2     1     3\n",
              "2     3     5     0"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yY-AE60iq7hN",
        "outputId": "97bf8ce7-f851-4540-9522-ae7ee1352e30",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "type(df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DSDAlPBXq7hO",
        "outputId": "d60df8bc-943f-47db-8deb-8cb3fb8fc3c1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[RangeIndex(start=0, stop=3, step=1),\n",
              " Index(['deg1', 'deg2', 'deg3'], dtype='object')]"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "df.axes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uV9Z6sibq7hP",
        "outputId": "65182d97-9eb2-467e-8469-e346b456da47",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "RXeMh2IQq7hP",
        "outputId": "14973b1f-4356-412e-b5fc-7535def00d25",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ],
      "source": [
        "df.ndim"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XgFa2Qqaq7hQ",
        "outputId": "56de3ec8-8150-4923-ca0f-db21b49a0d5a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "df.size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mO9wcB5hq7hQ",
        "outputId": "69c10084-09c1-4cf5-c146-1b904086f547",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[8, 4, 3],\n",
              "       [2, 1, 3],\n",
              "       [3, 5, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "source": [
        "df.values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vgvUJJqEq7hQ",
        "outputId": "5bd9f981-9718-4997-e499-b11b75e80bed",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ],
      "source": [
        "type(df.values)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oFRXsiQUq7hR",
        "outputId": "df981b59-6204-4e5c-b19a-02556e7eec81",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.head of    deg1  deg2  deg3\n",
              "0     8     4     3\n",
              "1     2     1     3\n",
              "2     3     5     0>"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "df.head #baştan gözlem"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yHUSvJYaq7hR",
        "outputId": "5c93fa38-ec4d-4f27-9178-fbad9aecc339",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.tail of    deg1  deg2  deg3\n",
              "0     8     4     3\n",
              "1     2     1     3\n",
              "2     3     5     0>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ],
      "source": [
        "df.tail #sondan gözlem"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fu-nj5Ghq7hS",
        "outputId": "c8011901-8a44-4572-d4c7-5fe393f71278",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-c0b6b81f-b7f9-4d69-866f-8a42b2aeb5c7\">\n",
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              "      <th></th>\n",
              "      <th>deg1</th>\n",
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              "      <th>2</th>\n",
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              "      </button>\n",
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              "    .colab-df-container {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
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              "          document.querySelector('#df-c0b6b81f-b7f9-4d69-866f-8a42b2aeb5c7 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "          const element = document.querySelector('#df-c0b6b81f-b7f9-4d69-866f-8a42b2aeb5c7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   deg1  deg2  deg3\n",
              "2     3     5     0"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "source": [
        "df.tail(1) #sondan 1. gözlem"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M6J7Sadwq7hT"
      },
      "source": [
        "## Eleman İşlemleri"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "egttYk1Pq7hT"
      },
      "outputs": [],
      "source": [
        "s1 = np.random.randint(10, size = 5)\n",
        "s2 = np.random.randint(10, size = 5)\n",
        "s3 = np.random.randint(10, size = 5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "y18x0IJaq7hU"
      },
      "outputs": [],
      "source": [
        "sozluk = {\"var1\": s1, \"var2\":s3, \"var3\":s3}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OoeuCnObq7hU",
        "outputId": "99e94239-7fe6-4cbc-f074-fa543c066c69"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'var1': array([2, 9, 1, 1, 1]),\n",
              " 'var2': array([0, 3, 2, 8, 0]),\n",
              " 'var3': array([0, 3, 2, 8, 0])}"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "sozluk"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "S0xb4Sgeq7hU"
      },
      "outputs": [],
      "source": [
        "df = pd.DataFrame(sozluk)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        },
        "id": "2-uUtBgWq7hU",
        "outputId": "bcf701c4-1707-4cc3-bda3-8ce7b45dae44"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
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              "   var1  var2  var3\n",
              "0     2     0     0\n",
              "1     9     3     3\n",
              "2     1     2     2\n",
              "3     1     8     8\n",
              "4     1     0     0"
            ]
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        }
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        "df"
      ]
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      "execution_count": null,
      "metadata": {
        "colab": {
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          "height": 111
        },
        "id": "xFZ2Zo1Iq7hV",
        "outputId": "41bc6100-3f49-4d21-bdcb-f85f8459a48a"
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        {
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              "\n",
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              "      <td>3</td>\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    }\n",
              "  </style>\n",
              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-064efced-52a8-4197-994a-2ab4239988dd');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  "
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              "   var1  var2  var3\n",
              "0     2     0     0\n",
              "1     9     3     3"
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          "metadata": {},
          "execution_count": 40
        }
      ],
      "source": [
        "df[:2]"
      ]
    },
    {
      "cell_type": "code",
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        "id": "qDt4JKoWq7hV",
        "outputId": "ac6fbb17-9fb7-4b4b-836f-e8b19220f839"
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        {
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ae576282-7a84-4d51-902e-8e62c83cc50a button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ae576282-7a84-4d51-902e-8e62c83cc50a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
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              "   var1  var2  var3\n",
              "0     2     0     0\n",
              "1     9     3     3"
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          "metadata": {},
          "execution_count": 41
        }
      ],
      "source": [
        "df[0:2]"
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    },
    {
      "cell_type": "code",
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      "metadata": {
        "id": "IrRfI-zMq7hV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b0521a27-f1ac-4763-978e-2b78288a00e0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RangeIndex(start=0, stop=5, step=1)"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ],
      "source": [
        "df.index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_D8egRhBq7hW"
      },
      "outputs": [],
      "source": [
        "df.index=[\"a\",\"b\",\"c\",\"d\",\"e\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "RkGvi_fUq7hW",
        "outputId": "f282e66e-cfdf-48dd-f617-3b4e91601bf3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-52f1e2f6-700f-415c-81d3-e3302bd18db3\">\n",
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              "<style scoped>\n",
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              "\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>a</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-52f1e2f6-700f-415c-81d3-e3302bd18db3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-52f1e2f6-700f-415c-81d3-e3302bd18db3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-52f1e2f6-700f-415c-81d3-e3302bd18db3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "a     2     0     0\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        },
        "id": "GA28q1QIq7hW",
        "outputId": "12a88640-f537-453b-a000-37ef27e78f57"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e3dd6625-f8b2-4cdd-bb6c-3b54d328f13a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e3dd6625-f8b2-4cdd-bb6c-3b54d328f13a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e3dd6625-f8b2-4cdd-bb6c-3b54d328f13a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e3dd6625-f8b2-4cdd-bb6c-3b54d328f13a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "df[\"c\":\"e\"]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zaXFtb55q7hX"
      },
      "source": [
        "### Silme"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "4BJGV4WOq7hX",
        "outputId": "551aabe6-461a-4b23-def8-6d6c461c76f7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-8c38ea61-88e2-4a5d-b111-8dadcab1c4e9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8c38ea61-88e2-4a5d-b111-8dadcab1c4e9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8c38ea61-88e2-4a5d-b111-8dadcab1c4e9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8c38ea61-88e2-4a5d-b111-8dadcab1c4e9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ],
      "source": [
        "df.drop(\"a\", axis=0) #yeniye atanmazsa yada inplace argumani kullanılmazsa ana dataframe değişmez"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "MvM1Cgf4q7hX",
        "outputId": "1602db47-99ff-49c5-e13f-0a2730339d2a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "   var1  var2  var3\n",
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        "df.drop(\"a\", axis=0 , inplace= True)"
      ]
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              "          const element = document.querySelector('#df-0914b36a-39e6-4b14-8f18-69b6d902aabd');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "   var1  var2  var3\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
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      "source": [
        "### Fancy  "
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      "execution_count": null,
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        "id": "59Wdlxhaq7hZ"
      },
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        "l = [\"c\",\"e\"]"
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              "\n",
              "      <script>\n",
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "          dataTable['output_type'] = 'display_data';\n",
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              "   var1  var2  var3\n",
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        }
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      "source": [
        "df.drop(l, axis=0 )"
      ]
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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          "base_uri": "https://localhost:8080/",
          "height": 173
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        "id": "p7iCmGkvq7hZ",
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              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dc8374a8-6731-4948-aad9-5e45076c428e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-dc8374a8-6731-4948-aad9-5e45076c428e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-dc8374a8-6731-4948-aad9-5e45076c428e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QrIj9b2oq7ha"
      },
      "source": [
        "değişkenleri bulma"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_BdE5P-Qq7ha",
        "outputId": "8e16a0b2-fba7-4eca-87ed-27e0dc971978"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ],
      "source": [
        "\"var1\" in df "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oUmBI7Z1q7ha"
      },
      "outputs": [],
      "source": [
        "l = [\"var1\",\"var4\",\"var2\"] "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WOJdzZcFq7ha",
        "outputId": "c37a55ae-deff-467e-91a6-1d5b0b9934d8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "True\n",
            "False\n",
            "True\n"
          ]
        }
      ],
      "source": [
        "for i in l:\n",
        "    print(i in df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "iqhj1JVJq7hb",
        "outputId": "512b47b8-4187-44d7-bc65-5a2702e8a1b9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-7894cd55-f961-4b7e-a101-a204bcbb8887\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7894cd55-f961-4b7e-a101-a204bcbb8887')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7894cd55-f961-4b7e-a101-a204bcbb8887 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7894cd55-f961-4b7e-a101-a204bcbb8887');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H7Utcmn5q7hb",
        "outputId": "07553887-ac4c-425a-9bf5-8b500c0de474"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "b    9\n",
              "c    1\n",
              "d    1\n",
              "e    1\n",
              "Name: var1, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ],
      "source": [
        "df[\"var1\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WxCOM4Asq7hb"
      },
      "outputs": [],
      "source": [
        "df[\"var4\"] = df[\"var1\"] / df[\"var2\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "ySFEnfWQq7hc",
        "outputId": "00d6cb5b-11c8-4baa-f2bb-883bbe70628b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-dac7e4c9-06e9-4908-88fc-0293b95cd99b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "      <th>var4</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>0.125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-dac7e4c9-06e9-4908-88fc-0293b95cd99b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-dac7e4c9-06e9-4908-88fc-0293b95cd99b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3   var4\n",
              "b     9     3     3  3.000\n",
              "c     1     2     2  0.500\n",
              "d     1     8     8  0.125\n",
              "e     1     0     0    inf"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LCdxd2ufq7hc"
      },
      "source": [
        "### Değişken silmek"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "OFknublbq7hc",
        "outputId": "e59d2dea-4252-41cd-c35d-d522b4be6cb5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a0a7d545-acff-4e73-a4b1-576970d1bd1b\">\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a0a7d545-acff-4e73-a4b1-576970d1bd1b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "      </button>\n",
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              "\n",
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              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a0a7d545-acff-4e73-a4b1-576970d1bd1b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a0a7d545-acff-4e73-a4b1-576970d1bd1b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ],
      "source": [
        "df.drop(\"var4\", axis = 1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "vG5OTk36q7hd",
        "outputId": "e68bae4f-0160-48e9-cd74-6515c94d9d7e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-fe5784db-c73d-4910-8b10-4d5a4070d103\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "      <th>var4</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>0.125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fe5784db-c73d-4910-8b10-4d5a4070d103')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-fe5784db-c73d-4910-8b10-4d5a4070d103 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-fe5784db-c73d-4910-8b10-4d5a4070d103');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3   var4\n",
              "b     9     3     3  3.000\n",
              "c     1     2     2  0.500\n",
              "d     1     8     8  0.125\n",
              "e     1     0     0    inf"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N6M1hfFTq7hd"
      },
      "outputs": [],
      "source": [
        "df.drop(\"var4\", axis = 1, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "FpcCts8tq7hd",
        "outputId": "68f95af9-19ac-4a00-d66c-e5a7af3962c4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-19f75837-0733-4167-a0df-0c4627eaacb7\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-19f75837-0733-4167-a0df-0c4627eaacb7')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-19f75837-0733-4167-a0df-0c4627eaacb7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-19f75837-0733-4167-a0df-0c4627eaacb7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "b     9     3     3\n",
              "c     1     2     2\n",
              "d     1     8     8\n",
              "e     1     0     0"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gDgXuMOqq7he"
      },
      "outputs": [],
      "source": [
        "l=[\"var1\",\"var3\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "-Zn2X9GDq7he",
        "outputId": "c17fa291-6e68-4365-ea2d-de822030c7d7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-45ff0495-cea1-4e18-a3ee-b9279f9a2c1b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>b</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>d</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>e</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-45ff0495-cea1-4e18-a3ee-b9279f9a2c1b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
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              "    .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-45ff0495-cea1-4e18-a3ee-b9279f9a2c1b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-45ff0495-cea1-4e18-a3ee-b9279f9a2c1b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var2\n",
              "b     3\n",
              "c     2\n",
              "d     8\n",
              "e     0"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ],
      "source": [
        "df.drop(l, axis = 1, )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qgDTsk6Gq7he"
      },
      "source": [
        "## Gözlem ve Değişken Seçimi : Loc & iloc"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1w8ThsgTq7ho",
        "outputId": "f30273cd-0644-4f40-f0be-d34d58094b0a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <td>7</td>\n",
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              "      <th>5</th>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>19</td>\n",
              "      <td>28</td>\n",
              "      <td>23</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>11</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
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              "      <th>8</th>\n",
              "      <td>25</td>\n",
              "      <td>19</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a4b601fa-13db-489a-9aff-233701c9fbea')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "      flex-wrap:wrap;\n",
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              "\n",
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              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a4b601fa-13db-489a-9aff-233701c9fbea button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a4b601fa-13db-489a-9aff-233701c9fbea');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    24    14    13\n",
              "1    27     2    13\n",
              "2     1     2     8\n",
              "3     9     5    13\n",
              "4    23     7    15\n",
              "5    22    27     1\n",
              "6    19    28    23\n",
              "7    11     7    26\n",
              "8    25    19    17\n",
              "9     2    29    28"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ],
      "source": [
        "m= np.random.randint(1,30, size=(10,3))\n",
        "df = pd.DataFrame(m, columns= [\"var1\",\"var2\",\"var3\"])\n",
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mk-ORzxCq7ho"
      },
      "source": [
        ">**loc :**tanımlandığı şekli ile seçim yapmak için kullanılır."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vH80wkZgq7ho",
        "outputId": "3c8eb3ff-9cbb-4755-85ec-89f5b03a9711",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-d65a12c0-b183-4fce-8ee0-f979d8a75eb3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
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              "    <tr style=\"text-align: right;\">\n",
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              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>8</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9</td>\n",
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              "      <td>13</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d65a12c0-b183-4fce-8ee0-f979d8a75eb3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d65a12c0-b183-4fce-8ee0-f979d8a75eb3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d65a12c0-b183-4fce-8ee0-f979d8a75eb3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    24    14    13\n",
              "1    27     2    13\n",
              "2     1     2     8\n",
              "3     9     5    13"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ],
      "source": [
        "df.loc[0:3]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yHmFZOYqq7hp"
      },
      "source": [
        ">**iloc :**alışık olduğumuz indeksleme mantığıyla seçim yapar\n",
        "\n",
        "\n",
        "\n"
      ]
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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          "metadata": {},
          "execution_count": 113
        }
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        "df.iloc[0:3]"
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      "execution_count": null,
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        "colab": {
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              "\n",
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              "          document.querySelector('#df-485ae371-e135-4700-abbe-b6b22a578052 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-485ae371-e135-4700-abbe-b6b22a578052');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  "
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              "0    15     7\n",
              "1    12    12\n",
              "2     5     3"
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          "metadata": {},
          "execution_count": 114
        }
      ],
      "source": [
        "df.iloc[:3,:2]"
      ]
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XycQfIdDq7hq",
        "outputId": "7f6b56f1-2d08-4974-a08c-3311d4526caf",
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      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    13\n",
              "1    13\n",
              "2     8\n",
              "3    13\n",
              "Name: var3, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ],
      "source": [
        "df.loc[0:3,\"var3\"]"
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BknTp-Ewq7hq",
        "outputId": "bf289465-99d7-475f-e290-3a5f5f0075c7",
        "colab": {
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          "height": 425
        }
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      "outputs": [
        {
          "output_type": "error",
          "ename": "ValueError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_has_valid_tuple\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    701\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 702\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    703\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   1368\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1369\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Can only index by location with a [{self._valid_types}]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1370\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mValueError\u001b[0m: Can only index by location with a [integer, integer slice (START point is INCLUDED, END point is EXCLUDED), listlike of integers, boolean array]",
            "\nThe above exception was the direct cause of the following exception:\n",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-87-7132d8387f92>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"var3\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;31m#kullanılmaz indeksleme mantığıyla seçim yaptığımız için\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    871\u001b[0m                     \u001b[0;31m# AttributeError for IntervalTree get_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    872\u001b[0m                     \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 873\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    874\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    875\u001b[0m             \u001b[0;31m# we by definition only have the 0th axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m   1441\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1442\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1443\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_has_valid_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1444\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1445\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_lowerdim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_has_valid_tuple\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    705\u001b[0m                     \u001b[0;34m\"Location based indexing can only have \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    706\u001b[0m                     \u001b[0;34mf\"[{self._valid_types}] types\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 707\u001b[0;31m                 ) from err\n\u001b[0m\u001b[1;32m    708\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    709\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_is_nested_tuple_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mValueError\u001b[0m: Location based indexing can only have [integer, integer slice (START point is INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types"
          ]
        }
      ],
      "source": [
        "df.iloc[0:3, \"var3\"] #kullanılmaz indeksleme mantığıyla seçim yaptığımız için"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Yz-yWi0Wq7hr",
        "outputId": "7b0ff948-7b9b-4bb2-d927-46e8730c3020",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-b5954051-0e26-4472-a1c8-d4d9664477ce\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>14</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b5954051-0e26-4472-a1c8-d4d9664477ce')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b5954051-0e26-4472-a1c8-d4d9664477ce button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b5954051-0e26-4472-a1c8-d4d9664477ce');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var2  var3\n",
              "0    14    13\n",
              "1     2    13\n",
              "2     2     8"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ],
      "source": [
        "df.iloc[0:3, 1:3] #indeksleme yaklaşımı"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VoW8VRQBq7hr",
        "outputId": "14adf2de-c37b-4b58-ea71-65b488156c42",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    13\n",
              "1    13\n",
              "2     8\n",
              "Name: var3, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ],
      "source": [
        "df.iloc[0:3, 1:3][\"var3\"]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sTSuBYjaq7hs"
      },
      "source": [
        "## Koşullu Eleman işlemleri"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VbEqvfU6q7hs",
        "outputId": "2b3fb2de-1c14-4059-eb5b-cd07157c65ec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-bd4cd4db-3505-4c03-8d15-2f4530ff06a2\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5</td>\n",
              "      <td>23</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>23</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1</td>\n",
              "      <td>18</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>26</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>26</td>\n",
              "      <td>13</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>11</td>\n",
              "      <td>6</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>20</td>\n",
              "      <td>11</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bd4cd4db-3505-4c03-8d15-2f4530ff06a2')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-bd4cd4db-3505-4c03-8d15-2f4530ff06a2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-bd4cd4db-3505-4c03-8d15-2f4530ff06a2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0     5    23    24\n",
              "1    23     8     7\n",
              "2    28     8     1\n",
              "3     7    27     4\n",
              "4    10     2    12\n",
              "5     1    18    23\n",
              "6    26     1    14\n",
              "7    26    13    27\n",
              "8    11     6    14\n",
              "9    20    11    29"
            ]
          },
          "metadata": {},
          "execution_count": 92
        }
      ],
      "source": [
        "m= np.random.randint(1,30, size=(10,3))\n",
        "df = pd.DataFrame(m, columns= [\"var1\",\"var2\",\"var3\"])\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "74z90Phaq7hs",
        "outputId": "d41429fd-e7b0-446b-b757-09c85be32551",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     5\n",
              "1    23\n",
              "Name: var1, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ],
      "source": [
        "df[\"var1\"][0:2]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
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        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "  <div id=\"df-b3fc73c4-54f4-455c-8830-60daf5512a69\">\n",
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              "\n",
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              "      <th>var1</th>\n",
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              "      <th>var3</th>\n",
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              "      <th>1</th>\n",
              "      <td>23</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>26</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>26</td>\n",
              "      <td>13</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>20</td>\n",
              "      <td>11</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b3fc73c4-54f4-455c-8830-60daf5512a69')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "      display:flex;\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    }\n",
              "  </style>\n",
              "\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-b3fc73c4-54f4-455c-8830-60daf5512a69 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b3fc73c4-54f4-455c-8830-60daf5512a69');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "1    23     8     7\n",
              "2    28     8     1\n",
              "6    26     1    14\n",
              "7    26    13    27\n",
              "9    20    11    29"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ],
      "source": [
        "df[df.var1 > 15]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IXJYYaRJq7ht",
        "outputId": "60f66ee9-0dc4-4a0b-e28e-2a83fae8721c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9d70a1fa-2815-4a89-b751-8476728cbb84\">\n",
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              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d70a1fa-2815-4a89-b751-8476728cbb84')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "  </svg>\n",
              "      </button>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9d70a1fa-2815-4a89-b751-8476728cbb84 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9d70a1fa-2815-4a89-b751-8476728cbb84');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "2    28     8     1"
            ]
          },
          "metadata": {},
          "execution_count": 96
        }
      ],
      "source": [
        "df[(df.var1 > 15) & (df.var3<5)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8Km8cBrGq7hu",
        "outputId": "6c240b89-1965-4059-e552-c7f6c607687a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-968a01e4-aefa-487a-9552-d66baa06fd73\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
              "    }\n",
              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
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              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>26</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>25</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>26</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>23</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-968a01e4-aefa-487a-9552-d66baa06fd73')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      cursor: pointer;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-968a01e4-aefa-487a-9552-d66baa06fd73 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-968a01e4-aefa-487a-9552-d66baa06fd73');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2\n",
              "1    26     9\n",
              "2    28     5\n",
              "4    20    13\n",
              "5    25    10\n",
              "6    26     9\n",
              "8    23    28"
            ]
          },
          "metadata": {},
          "execution_count": 128
        }
      ],
      "source": [
        "df.loc[(df.var1 > 15) ,[\"var1\",\"var2\"]] #değişken seçmede var"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eaGxQOlCq7hu",
        "outputId": "0f431db7-0551-4e83-f79b-4e6d1b4cba61",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-84b009c0-d5f9-4c8c-a2c6-03d350485826\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>26</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>25</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>26</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>23</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-84b009c0-d5f9-4c8c-a2c6-03d350485826')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-84b009c0-d5f9-4c8c-a2c6-03d350485826 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-84b009c0-d5f9-4c8c-a2c6-03d350485826');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2\n",
              "1    26     9\n",
              "2    28     5\n",
              "4    20    13\n",
              "5    25    10\n",
              "6    26     9\n",
              "8    23    28"
            ]
          },
          "metadata": {},
          "execution_count": 129
        }
      ],
      "source": [
        "df[(df.var1 > 15) ][[\"var1\",\"var2\"]]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3SPfh8XHq7hv"
      },
      "source": [
        "## Birleştirme (Join) İşlemleri"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Pck_Dljhq7hv",
        "outputId": "b9b8381f-9ad2-4762-ff23-305c2da66905",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-baa08fdc-4e99-4896-bd2a-009f6f468c61\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>29</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-baa08fdc-4e99-4896-bd2a-009f6f468c61')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-baa08fdc-4e99-4896-bd2a-009f6f468c61 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-baa08fdc-4e99-4896-bd2a-009f6f468c61');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    11    29    15\n",
              "1     7     9    21\n",
              "2    23    23     2\n",
              "3    10    14     6\n",
              "4    22    15    11"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ],
      "source": [
        "m= np.random.randint(1,30, size=(5,3))\n",
        "df1 = pd.DataFrame(m, columns= [\"var1\",\"var2\",\"var3\"])\n",
        "df1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "R6MxdQudq7hv"
      },
      "outputs": [],
      "source": [
        "df2 = df1+df1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "59BJUskzq7hw",
        "outputId": "1a53c2de-4e85-4b51-d0c6-a03eaca7fc98",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e769c1c6-92af-4937-bf0f-68ab520a34bd\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>22</td>\n",
              "      <td>58</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>14</td>\n",
              "      <td>18</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>46</td>\n",
              "      <td>46</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20</td>\n",
              "      <td>28</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>44</td>\n",
              "      <td>30</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e769c1c6-92af-4937-bf0f-68ab520a34bd')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e769c1c6-92af-4937-bf0f-68ab520a34bd button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e769c1c6-92af-4937-bf0f-68ab520a34bd');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    22    58    30\n",
              "1    14    18    42\n",
              "2    46    46     4\n",
              "3    20    28    12\n",
              "4    44    30    22"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ],
      "source": [
        "df2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fLeJGuGtq7hw",
        "outputId": "6fe8165b-7fba-4f51-b1ea-8d72fca0bb75",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-1ab33d69-1efd-4bd5-acd6-e4a979605cb9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>14</td>\n",
              "      <td>25</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>26</td>\n",
              "      <td>23</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>8</td>\n",
              "      <td>40</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>34</td>\n",
              "      <td>46</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>50</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>40</td>\n",
              "      <td>22</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>52</td>\n",
              "      <td>46</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1ab33d69-1efd-4bd5-acd6-e4a979605cb9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-1ab33d69-1efd-4bd5-acd6-e4a979605cb9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1ab33d69-1efd-4bd5-acd6-e4a979605cb9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0     4    20    23\n",
              "1    17    23    18\n",
              "2    14    25    11\n",
              "3    20    11     3\n",
              "4    26    23    13\n",
              "0     8    40    46\n",
              "1    34    46    36\n",
              "2    28    50    22\n",
              "3    40    22     6\n",
              "4    52    46    26"
            ]
          },
          "metadata": {},
          "execution_count": 133
        }
      ],
      "source": [
        "pd.concat([df1,df2])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KJ0RcpTRq7hx",
        "outputId": "be13702d-9567-48fc-c6df-a177f55ac605",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a9122c5a-0acd-40f9-9614-f306cc61ffde\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
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              "  </thead>\n",
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              "      <th>1</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "      <td>21</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>22</td>\n",
              "      <td>58</td>\n",
              "      <td>30</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>14</td>\n",
              "      <td>18</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>46</td>\n",
              "      <td>46</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20</td>\n",
              "      <td>28</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>44</td>\n",
              "      <td>30</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a9122c5a-0acd-40f9-9614-f306cc61ffde')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a9122c5a-0acd-40f9-9614-f306cc61ffde button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a9122c5a-0acd-40f9-9614-f306cc61ffde');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    11    29    15\n",
              "1     7     9    21\n",
              "2    23    23     2\n",
              "3    10    14     6\n",
              "4    22    15    11\n",
              "0    22    58    30\n",
              "1    14    18    42\n",
              "2    46    46     4\n",
              "3    20    28    12\n",
              "4    44    30    22"
            ]
          },
          "metadata": {},
          "execution_count": 100
        }
      ],
      "source": [
        "pd.concat([df1,df2], ignore_index= False) #indeks sayısına bakmaz değiştirmez"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Tlp17iZ2q7hx",
        "outputId": "04f63656-4454-43ae-9b93-8416dc601c01",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-fa3b0abb-bb82-4536-8331-b48adbd4837c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>29</td>\n",
              "      <td>15</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>22</td>\n",
              "      <td>58</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>14</td>\n",
              "      <td>18</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>46</td>\n",
              "      <td>46</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>20</td>\n",
              "      <td>28</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>44</td>\n",
              "      <td>30</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fa3b0abb-bb82-4536-8331-b48adbd4837c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-fa3b0abb-bb82-4536-8331-b48adbd4837c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-fa3b0abb-bb82-4536-8331-b48adbd4837c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    11    29    15\n",
              "1     7     9    21\n",
              "2    23    23     2\n",
              "3    10    14     6\n",
              "4    22    15    11\n",
              "5    22    58    30\n",
              "6    14    18    42\n",
              "7    46    46     4\n",
              "8    20    28    12\n",
              "9    44    30    22"
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ],
      "source": [
        "pd.concat([df1,df2], ignore_index= True)#indeks sayısına bakar sıralar"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "d4eLA466q7hy",
        "outputId": "ced4b131-bbc6-4b64-c446-7dfc9451ae5c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['var1', 'var2', 'var3'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ],
      "source": [
        "df1.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "g7LCRR5bq7hy"
      },
      "outputs": [],
      "source": [
        "df2.columns =[\"var1\",\"var2\",\"deg3\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uUxQbf-xq7hz",
        "outputId": "0f58580d-692f-435c-dd18-b853374dff84",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-6be22e3a-ab15-4fb7-bb1a-70aeedae27b6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>deg3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>22</td>\n",
              "      <td>58</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>14</td>\n",
              "      <td>18</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>46</td>\n",
              "      <td>46</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20</td>\n",
              "      <td>28</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>44</td>\n",
              "      <td>30</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6be22e3a-ab15-4fb7-bb1a-70aeedae27b6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
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              "  <style>\n",
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              "      display:flex;\n",
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              "\n",
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              "\n",
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              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6be22e3a-ab15-4fb7-bb1a-70aeedae27b6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6be22e3a-ab15-4fb7-bb1a-70aeedae27b6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  deg3\n",
              "0    22    58    30\n",
              "1    14    18    42\n",
              "2    46    46     4\n",
              "3    20    28    12\n",
              "4    44    30    22"
            ]
          },
          "metadata": {},
          "execution_count": 105
        }
      ],
      "source": [
        "df2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4JfG1WVDq7hz",
        "outputId": "447b1289-9693-4511-d710-5e3f858c1701",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-72c03caa-009f-4061-a5ac-33df69e8473c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>29</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-72c03caa-009f-4061-a5ac-33df69e8473c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-72c03caa-009f-4061-a5ac-33df69e8473c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-72c03caa-009f-4061-a5ac-33df69e8473c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3\n",
              "0    11    29    15\n",
              "1     7     9    21\n",
              "2    23    23     2\n",
              "3    10    14     6\n",
              "4    22    15    11"
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ],
      "source": [
        "df1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5w_Nx8aEq7h0",
        "outputId": "70505c5b-5048-4db7-bfe0-1583ef36aa14",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9055a36d-330d-4158-bd7d-c6f84ede881e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "      <th>var3</th>\n",
              "      <th>deg3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>23.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>18.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>25</td>\n",
              "      <td>11.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20</td>\n",
              "      <td>11</td>\n",
              "      <td>3.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>26</td>\n",
              "      <td>23</td>\n",
              "      <td>13.0</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>8</td>\n",
              "      <td>40</td>\n",
              "      <td>NaN</td>\n",
              "      <td>46.0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>34</td>\n",
              "      <td>46</td>\n",
              "      <td>NaN</td>\n",
              "      <td>36.0</td>\n",
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              "      <th>2</th>\n",
              "      <td>28</td>\n",
              "      <td>50</td>\n",
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              "      <td>22.0</td>\n",
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              "      <th>3</th>\n",
              "      <td>40</td>\n",
              "      <td>22</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.0</td>\n",
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              "      <th>4</th>\n",
              "      <td>52</td>\n",
              "      <td>46</td>\n",
              "      <td>NaN</td>\n",
              "      <td>26.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9055a36d-330d-4158-bd7d-c6f84ede881e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9055a36d-330d-4158-bd7d-c6f84ede881e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9055a36d-330d-4158-bd7d-c6f84ede881e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2  var3  deg3\n",
              "0     4    20  23.0   NaN\n",
              "1    17    23  18.0   NaN\n",
              "2    14    25  11.0   NaN\n",
              "3    20    11   3.0   NaN\n",
              "4    26    23  13.0   NaN\n",
              "0     8    40   NaN  46.0\n",
              "1    34    46   NaN  36.0\n",
              "2    28    50   NaN  22.0\n",
              "3    40    22   NaN   6.0\n",
              "4    52    46   NaN  26.0"
            ]
          },
          "metadata": {},
          "execution_count": 142
        }
      ],
      "source": [
        "pd.concat([df1,df2])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1PMX7KLhq7h0",
        "outputId": "c3785b9b-f561-4e90-fc7a-d74a190c461d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>var1</th>\n",
              "      <th>var2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
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              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>14</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>22</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>14</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>46</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>44</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a102b0ed-0e7a-4bf1-bfcc-d3aa53571ad9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a102b0ed-0e7a-4bf1-bfcc-d3aa53571ad9 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a102b0ed-0e7a-4bf1-bfcc-d3aa53571ad9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   var1  var2\n",
              "0    11    29\n",
              "1     7     9\n",
              "2    23    23\n",
              "3    10    14\n",
              "4    22    15\n",
              "0    22    58\n",
              "1    14    18\n",
              "2    46    46\n",
              "3    20    28\n",
              "4    44    30"
            ]
          },
          "metadata": {},
          "execution_count": 107
        }
      ],
      "source": [
        "pd.concat([df1,df2] , join=\"inner\") #kesişimlerine göre birleştirdi"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### İleri Birleştirme İşlemleri"
      ],
      "metadata": {
        "id": "WMTeLkFlQ-iV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sozluk1= {\"calısan\":['ali',\"veli\", \"ayse\",\"fatma\"], \"grup\" : [\"muhasebe\", \"muhendislik\", \"muhendislik\", \"İK\"]}\n",
        "df1 = pd.DataFrame(sozluk1)\n",
        "df1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "pd5cmHnhQ98k",
        "outputId": "4ced9a77-a007-4a51-f802-11b73bc12234"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-f9ff068a-5ec7-4d28-aaa7-9600476fc3ff\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>calısan</th>\n",
              "      <th>grup</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ali</td>\n",
              "      <td>muhasebe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>veli</td>\n",
              "      <td>muhendislik</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ayse</td>\n",
              "      <td>muhendislik</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fatma</td>\n",
              "      <td>İK</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f9ff068a-5ec7-4d28-aaa7-9600476fc3ff')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f9ff068a-5ec7-4d28-aaa7-9600476fc3ff button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f9ff068a-5ec7-4d28-aaa7-9600476fc3ff');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  calısan         grup\n",
              "0     ali     muhasebe\n",
              "1    veli  muhendislik\n",
              "2    ayse  muhendislik\n",
              "3   fatma           İK"
            ]
          },
          "metadata": {},
          "execution_count": 177
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sozluk2= {\"calısan\":['ayse',\"ali\", \"veli\",\"fatma\"], \"ilk giris\" : [2010,2009,2014,2019]}\n",
        "df2 = pd.DataFrame(sozluk2)\n",
        "df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "pLGDgjykRS4U",
        "outputId": "0a3a7d4a-ce7b-4542-be29-41bc7374a9a0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-986e473f-7851-4031-9e07-6942e7d02310\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>calısan</th>\n",
              "      <th>ilk giris</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ayse</td>\n",
              "      <td>2010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ali</td>\n",
              "      <td>2009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>veli</td>\n",
              "      <td>2014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fatma</td>\n",
              "      <td>2019</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-986e473f-7851-4031-9e07-6942e7d02310')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "\n",
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              "          const element = document.querySelector('#df-986e473f-7851-4031-9e07-6942e7d02310');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "        }\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  calısan  ilk giris\n",
              "0    ayse       2010\n",
              "1     ali       2009\n",
              "2    veli       2014\n",
              "3   fatma       2019"
            ]
          },
          "metadata": {},
          "execution_count": 179
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.merge(df1, df2)"
      ],
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          "height": 175
        },
        "id": "R4iyRS2tRTBi",
        "outputId": "fbb84735-8dc0-4ccd-f877-4b052d8a5409"
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          "data": {
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              "      <td>muhasebe</td>\n",
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              "      <td>2010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fatma</td>\n",
              "      <td>İK</td>\n",
              "      <td>2019</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
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            "text/plain": [
              "  calısan         grup  ilk giris\n",
              "0     ali     muhasebe       2009\n",
              "1    veli  muhendislik       2014\n",
              "2    ayse  muhendislik       2010\n",
              "3   fatma           İK       2019"
            ]
          },
          "metadata": {},
          "execution_count": 180
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.merge(df1, df2 , on=\"calısan\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "um59SMHuRlmj",
        "outputId": "dad81a4f-3cd5-4da9-951c-da51c9293d44"
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      "execution_count": null,
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        {
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          "data": {
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              "      <td>2019</td>\n",
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              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-02e2d06b-f430-4ced-baed-ce4900e4f403');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "    </div>\n",
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              "  "
            ],
            "text/plain": [
              "  calısan         grup  ilk giris\n",
              "0     ali     muhasebe       2009\n",
              "1    veli  muhendislik       2014\n",
              "2    ayse  muhendislik       2010\n",
              "3   fatma           İK       2019"
            ]
          },
          "metadata": {},
          "execution_count": 181
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3 = pd.merge(df1, df2)\n",
        "df3"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "5GxlR-6KRuSM",
        "outputId": "a3bd6b01-a61c-4691-ad7c-940bfe1cd769"
      },
      "execution_count": null,
      "outputs": [
        {
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          "data": {
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              "      <td>2019</td>\n",
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              "\n",
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              "          const element = document.querySelector('#df-e7900635-7d2c-4a47-9306-49417043eaf4');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  calısan         grup  ilk giris\n",
              "0     ali     muhasebe       2009\n",
              "1    veli  muhendislik       2014\n",
              "2    ayse  muhendislik       2010\n",
              "3   fatma           İK       2019"
            ]
          },
          "metadata": {},
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4 = pd.DataFrame({\"grup\":[\"muhasebe\",\"muhendislik\",\"İK\"],\"mudur\":[\"Caner\",\"mustafa\",\"berkcan\"]})\n",
        "df4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "a5W783C9RuaG",
        "outputId": "39ae3f48-b423-4be0-8d02-9b6ab5f671a7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th>grup</th>\n",
              "      <th>mudur</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>muhasebe</td>\n",
              "      <td>Caner</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>muhendislik</td>\n",
              "      <td>mustafa</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>İK</td>\n",
              "      <td>berkcan</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "          const element = document.querySelector('#df-8fed558d-6284-41d7-a1dc-6effb94528c7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ],
            "text/plain": [
              "          grup    mudur\n",
              "0     muhasebe    Caner\n",
              "1  muhendislik  mustafa\n",
              "2           İK  berkcan"
            ]
          },
          "metadata": {},
          "execution_count": 185
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.merge(df3, df4)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "FPZCXgGORuhG",
        "outputId": "5bb76b3d-8fb0-4da8-e910-ee72d2ea2ab0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th></th>\n",
              "      <th>calısan</th>\n",
              "      <th>grup</th>\n",
              "      <th>ilk giris</th>\n",
              "      <th>mudur</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ali</td>\n",
              "      <td>muhasebe</td>\n",
              "      <td>2009</td>\n",
              "      <td>Caner</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>veli</td>\n",
              "      <td>muhendislik</td>\n",
              "      <td>2014</td>\n",
              "      <td>mustafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ayse</td>\n",
              "      <td>muhendislik</td>\n",
              "      <td>2010</td>\n",
              "      <td>mustafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fatma</td>\n",
              "      <td>İK</td>\n",
              "      <td>2019</td>\n",
              "      <td>berkcan</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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            "text/plain": [
              "  calısan         grup  ilk giris    mudur\n",
              "0     ali     muhasebe       2009    Caner\n",
              "1    veli  muhendislik       2014  mustafa\n",
              "2    ayse  muhendislik       2010  mustafa\n",
              "3   fatma           İK       2019  berkcan"
            ]
          },
          "metadata": {},
          "execution_count": 186
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5 = pd.DataFrame({\"grup\":[\"muhasebe\",\"muhasebe\",\"muhendislik\",\"muhendislik\",\"İK\",\"İK\"],\n",
        "                            \"yetenekler\": [\"matematik\",\"excel\",\"kodlama\",\"linux\",\"excel\",\"yonetim\"]})\n",
        "df5"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "GvdEfRpHSWU_",
        "outputId": "22588ee0-b65b-434e-e9b1-fedbe5073470"
      },
      "execution_count": null,
      "outputs": [
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5aa49651-e1f5-4309-ab47-13b40bde36eb button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5aa49651-e1f5-4309-ab47-13b40bde36eb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "          grup yetenekler\n",
              "0     muhasebe  matematik\n",
              "1     muhasebe      excel\n",
              "2  muhendislik    kodlama\n",
              "3  muhendislik      linux\n",
              "4           İK      excel\n",
              "5           İK    yonetim"
            ]
          },
          "metadata": {},
          "execution_count": 188
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.merge(df1,df5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "BceYTgpLSc63",
        "outputId": "e54e2e2f-d35d-428e-d7e2-4a140e05c880"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-372a80a6-82b0-42a5-9a2c-04ba6a70ef08\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>calısan</th>\n",
              "      <th>grup</th>\n",
              "      <th>yetenekler</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ali</td>\n",
              "      <td>muhasebe</td>\n",
              "      <td>matematik</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ali</td>\n",
              "      <td>muhasebe</td>\n",
              "      <td>excel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>veli</td>\n",
              "      <td>muhendislik</td>\n",
              "      <td>kodlama</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>veli</td>\n",
              "      <td>muhendislik</td>\n",
              "      <td>linux</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ayse</td>\n",
              "      <td>muhendislik</td>\n",
              "      <td>kodlama</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ayse</td>\n",
              "      <td>muhendislik</td>\n",
              "      <td>linux</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>fatma</td>\n",
              "      <td>İK</td>\n",
              "      <td>excel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>fatma</td>\n",
              "      <td>İK</td>\n",
              "      <td>yonetim</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "  </svg>\n",
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              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-372a80a6-82b0-42a5-9a2c-04ba6a70ef08 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-372a80a6-82b0-42a5-9a2c-04ba6a70ef08');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  calısan         grup yetenekler\n",
              "0     ali     muhasebe  matematik\n",
              "1     ali     muhasebe      excel\n",
              "2    veli  muhendislik    kodlama\n",
              "3    veli  muhendislik      linux\n",
              "4    ayse  muhendislik    kodlama\n",
              "5    ayse  muhendislik      linux\n",
              "6   fatma           İK      excel\n",
              "7   fatma           İK    yonetim"
            ]
          },
          "metadata": {},
          "execution_count": 189
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dJIGUSHKq9FU"
      },
      "source": [
        "## Gruplama ve Toplulaştırma (Grouping & Aggregation )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7FxkNN0fq9FY"
      },
      "source": [
        "### Toplulaştırma İşlemleri"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pVHAJPHxq9FZ"
      },
      "source": [
        "Basit toplulaştırma fonksiyonları:\n",
        "* count()\n",
        "* first()\n",
        "* last()\n",
        "* mean()\n",
        "* median()\n",
        "* min()\n",
        "* max\n",
        "* std()\n",
        "* var()\n",
        "* sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NsCN3shgq9Fa"
      },
      "outputs": [],
      "source": [
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NHxqGMTYq9Fb"
      },
      "outputs": [],
      "source": [
        "df=sns.load_dataset(\"planets\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0_jN5DNLq9Fb"
      },
      "outputs": [],
      "source": [
        "?sns.load_dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "h_783cyEq9Fd",
        "outputId": "cc24c8c4-5be3-40f9-ca65-ceb180807736",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>method</th>\n",
              "      <th>number</th>\n",
              "      <th>orbital_period</th>\n",
              "      <th>mass</th>\n",
              "      <th>distance</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>269.300000</td>\n",
              "      <td>7.10</td>\n",
              "      <td>77.40</td>\n",
              "      <td>2006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>874.774000</td>\n",
              "      <td>2.21</td>\n",
              "      <td>56.95</td>\n",
              "      <td>2008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>763.000000</td>\n",
              "      <td>2.60</td>\n",
              "      <td>19.84</td>\n",
              "      <td>2011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>326.030000</td>\n",
              "      <td>19.40</td>\n",
              "      <td>110.62</td>\n",
              "      <td>2007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>516.220000</td>\n",
              "      <td>10.50</td>\n",
              "      <td>119.47</td>\n",
              "      <td>2009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1030</th>\n",
              "      <td>Transit</td>\n",
              "      <td>1</td>\n",
              "      <td>3.941507</td>\n",
              "      <td>NaN</td>\n",
              "      <td>172.00</td>\n",
              "      <td>2006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1031</th>\n",
              "      <td>Transit</td>\n",
              "      <td>1</td>\n",
              "      <td>2.615864</td>\n",
              "      <td>NaN</td>\n",
              "      <td>148.00</td>\n",
              "      <td>2007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1032</th>\n",
              "      <td>Transit</td>\n",
              "      <td>1</td>\n",
              "      <td>3.191524</td>\n",
              "      <td>NaN</td>\n",
              "      <td>174.00</td>\n",
              "      <td>2007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1033</th>\n",
              "      <td>Transit</td>\n",
              "      <td>1</td>\n",
              "      <td>4.125083</td>\n",
              "      <td>NaN</td>\n",
              "      <td>293.00</td>\n",
              "      <td>2008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1034</th>\n",
              "      <td>Transit</td>\n",
              "      <td>1</td>\n",
              "      <td>4.187757</td>\n",
              "      <td>NaN</td>\n",
              "      <td>260.00</td>\n",
              "      <td>2008</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1035 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-53f99a10-fe73-4b65-9b0c-87cc72781851')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-53f99a10-fe73-4b65-9b0c-87cc72781851 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-53f99a10-fe73-4b65-9b0c-87cc72781851');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               method  number  orbital_period   mass  distance  year\n",
              "0     Radial Velocity       1      269.300000   7.10     77.40  2006\n",
              "1     Radial Velocity       1      874.774000   2.21     56.95  2008\n",
              "2     Radial Velocity       1      763.000000   2.60     19.84  2011\n",
              "3     Radial Velocity       1      326.030000  19.40    110.62  2007\n",
              "4     Radial Velocity       1      516.220000  10.50    119.47  2009\n",
              "...               ...     ...             ...    ...       ...   ...\n",
              "1030          Transit       1        3.941507    NaN    172.00  2006\n",
              "1031          Transit       1        2.615864    NaN    148.00  2007\n",
              "1032          Transit       1        3.191524    NaN    174.00  2007\n",
              "1033          Transit       1        4.125083    NaN    293.00  2008\n",
              "1034          Transit       1        4.187757    NaN    260.00  2008\n",
              "\n",
              "[1035 rows x 6 columns]"
            ]
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          "execution_count": 111
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            ],
            "text/plain": [
              "            method  number  orbital_period   mass  distance  year\n",
              "0  Radial Velocity       1         269.300   7.10     77.40  2006\n",
              "1  Radial Velocity       1         874.774   2.21     56.95  2008\n",
              "2  Radial Velocity       1         763.000   2.60     19.84  2011\n",
              "3  Radial Velocity       1         326.030  19.40    110.62  2007\n",
              "4  Radial Velocity       1         516.220  10.50    119.47  2009"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3tFWmGYXq9Fe",
        "outputId": "01c47446-7588-44dd-ff97-af5482a32cb5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1035, 6)"
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ],
      "source": [
        "df.shape  #(1035 gözlem,6 değişken taşır)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lU20HKmIq9Ff",
        "outputId": "b7b7022c-d806-4eed-b482-e8c1185e1ce6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "number               1.785507\n",
              "orbital_period    2002.917596\n",
              "mass                 2.638161\n",
              "distance           264.069282\n",
              "year              2009.070531\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 114
        }
      ],
      "source": [
        "df.mean() #her bir sütunun ortalamasını bulur"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iSBcUKmhq9Ff",
        "outputId": "6e42b48f-263e-4f8f-d86f-29091ec9fc07",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.6381605847953233"
            ]
          },
          "metadata": {},
          "execution_count": 115
        }
      ],
      "source": [
        "df[\"mass\"].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mPIU-Poaq9Fg",
        "outputId": "a90ab3e5-02dd-45e1-fd7b-9f7ba78ce753",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.6381605847953233"
            ]
          },
          "metadata": {},
          "execution_count": 156
        }
      ],
      "source": [
        "np.mean(df[\"mass\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5v8YcV9tq9Fg",
        "outputId": "96d9ec9f-0883-4b92-d09c-f8aa6f51baf5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "method            1035\n",
              "number            1035\n",
              "orbital_period     992\n",
              "mass               513\n",
              "distance           808\n",
              "year              1035\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ],
      "source": [
        "df.count()  #değerleri saymak için kullanılır."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yWgjaorVq9Fh",
        "outputId": "b1b384c3-af4e-4ba4-c318-668edd89494f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "method            Radial VelocityRadial VelocityRadial VelocityR...\n",
              "number                                                         1848\n",
              "orbital_period                                          1.98689e+06\n",
              "mass                                                        1353.38\n",
              "distance                                                     213368\n",
              "year                                                        2079388\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 118
        }
      ],
      "source": [
        "df.sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "obTE1jKXq9Fh",
        "outputId": "166df26d-0764-4eab-da4b-14c5716845fd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "number                1.240976\n",
              "orbital_period    26014.728304\n",
              "mass                  3.818617\n",
              "distance            733.116493\n",
              "year                  3.972567\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ],
      "source": [
        "df.std()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FfGBTNWgq9Fi",
        "outputId": "b9f000ad-a04f-4cd8-f5a4-7ccd3ad8db88",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "method            Transit Timing Variations\n",
              "number                                    7\n",
              "orbital_period                       730000\n",
              "mass                                     25\n",
              "distance                               8500\n",
              "year                                   2014\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 120
        }
      ],
      "source": [
        "df.max()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wvntkSGkq9Fi",
        "outputId": "9f57a583-09fc-47e5-8e1a-903936b6e0fa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "method            Astrometry\n",
              "number                     1\n",
              "orbital_period     0.0907063\n",
              "mass                  0.0036\n",
              "distance                1.35\n",
              "year                    1989\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 121
        }
      ],
      "source": [
        "df.min()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nH8Lbh_gq9Fj",
        "outputId": "21c0cdc7-4aef-46c7-c6a5-0a810d464332",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "number               1.0000\n",
              "orbital_period      39.9795\n",
              "mass                 1.2600\n",
              "distance            55.2500\n",
              "year              2010.0000\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 122
        }
      ],
      "source": [
        "df.median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GZEfg8dWq9Fk",
        "outputId": "1ab865d4-fe8b-4421-d2aa-f3d989dda67c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "number            1.540022e+00\n",
              "orbital_period    6.767661e+08\n",
              "mass              1.458183e+01\n",
              "distance          5.374598e+05\n",
              "year              1.578129e+01\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 123
        }
      ],
      "source": [
        "df.var() #varyans"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4mBfRDpyq9Fk",
        "outputId": "5f60b119-8117-4adb-ec40-258be353f05c",
        "colab": {
          "base_uri": "https://localhost:8080/",
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              "      <th>mass</th>\n",
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              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5804247c-8f72-4263-812e-764b92f10a35 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5804247c-8f72-4263-812e-764b92f10a35');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                 count         mean  ...       75%       max\n",
              "number          1035.0     1.785507  ...     2.000       7.0\n",
              "orbital_period   992.0  2002.917596  ...   526.005  730000.0\n",
              "mass             513.0     2.638161  ...     3.040      25.0\n",
              "distance         808.0   264.069282  ...   178.500    8500.0\n",
              "year            1035.0  2009.070531  ...  2012.000    2014.0\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 124
        }
      ],
      "source": [
        "df.describe().T  #.T transpoz tersini al"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Zw9mq1FWq9Fl",
        "outputId": "3c29d750-076f-4fcc-abc2-86d287b5a778",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9ae688fa-c604-4ae6-a25c-03eea4ab8780\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>number</th>\n",
              "      <td>498.0</td>\n",
              "      <td>1.734940</td>\n",
              "      <td>1.175720</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>1.00000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>2.0000</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>orbital_period</th>\n",
              "      <td>498.0</td>\n",
              "      <td>835.778671</td>\n",
              "      <td>1469.128259</td>\n",
              "      <td>1.3283</td>\n",
              "      <td>38.27225</td>\n",
              "      <td>357.000</td>\n",
              "      <td>999.6000</td>\n",
              "      <td>17337.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mass</th>\n",
              "      <td>498.0</td>\n",
              "      <td>2.509320</td>\n",
              "      <td>3.636274</td>\n",
              "      <td>0.0036</td>\n",
              "      <td>0.21250</td>\n",
              "      <td>1.245</td>\n",
              "      <td>2.8675</td>\n",
              "      <td>25.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>distance</th>\n",
              "      <td>498.0</td>\n",
              "      <td>52.068213</td>\n",
              "      <td>46.596041</td>\n",
              "      <td>1.3500</td>\n",
              "      <td>24.49750</td>\n",
              "      <td>39.940</td>\n",
              "      <td>59.3325</td>\n",
              "      <td>354.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>year</th>\n",
              "      <td>498.0</td>\n",
              "      <td>2007.377510</td>\n",
              "      <td>4.167284</td>\n",
              "      <td>1989.0000</td>\n",
              "      <td>2005.00000</td>\n",
              "      <td>2009.000</td>\n",
              "      <td>2011.0000</td>\n",
              "      <td>2014.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9ae688fa-c604-4ae6-a25c-03eea4ab8780')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9ae688fa-c604-4ae6-a25c-03eea4ab8780 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9ae688fa-c604-4ae6-a25c-03eea4ab8780');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                count         mean          std  ...       50%        75%      max\n",
              "number          498.0     1.734940     1.175720  ...     1.000     2.0000      6.0\n",
              "orbital_period  498.0   835.778671  1469.128259  ...   357.000   999.6000  17337.5\n",
              "mass            498.0     2.509320     3.636274  ...     1.245     2.8675     25.0\n",
              "distance        498.0    52.068213    46.596041  ...    39.940    59.3325    354.0\n",
              "year            498.0  2007.377510     4.167284  ...  2009.000  2011.0000   2014.0\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 125
        }
      ],
      "source": [
        "df.dropna().describe().T  #dropna() fonksiyonu NAN değerlerini siler"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jf-vUJX3q9Fl"
      },
      "source": [
        "### Gruplama İşlemleri"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "c5kyHMudq9Fm",
        "outputId": "c8bef941-acf0-4583-8a8e-832c039ceb58",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a24bd3cf-d0a3-4f69-9561-b293fe89536d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gruplar</th>\n",
              "      <th>veri</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>B</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>C</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>B</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>C</td>\n",
              "      <td>55</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a24bd3cf-d0a3-4f69-9561-b293fe89536d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a24bd3cf-d0a3-4f69-9561-b293fe89536d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a24bd3cf-d0a3-4f69-9561-b293fe89536d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  gruplar  veri\n",
              "0       A    10\n",
              "1       B    11\n",
              "2       C    52\n",
              "3       A    23\n",
              "4       B    43\n",
              "5       C    55"
            ]
          },
          "metadata": {},
          "execution_count": 127
        }
      ],
      "source": [
        "df = pd.DataFrame({\"gruplar\":[\"A\",\"B\",\"C\",\"A\",\"B\",\"C\"],\n",
        "                  \"veri\":[10,11,52,23,43,55]}, columns=[\"gruplar\",\"veri\"])\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9zaeTAvVq9Fm",
        "outputId": "ac255ac8-8741-445c-d81d-e3c613ef3c2b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x7f6c61eea410>"
            ]
          },
          "metadata": {},
          "execution_count": 128
        }
      ],
      "source": [
        "df.groupby(\"gruplar\") #grupları yakalamaya yarar ama bir obje olduğu için bu şekilde bir sonuç döndürmez anlayabileceğimiz"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xEco6_Uyq9Fn",
        "outputId": "2f299c98-4e53-45a5-b0f5-586e8314b576",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "outputs": [
        {
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              "\n",
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              "      <th></th>\n",
              "      <th>veri</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gruplar</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "      <th>A</th>\n",
              "      <td>16.5</td>\n",
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              "      <th>B</th>\n",
              "      <td>27.0</td>\n",
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              "      <td>53.5</td>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1ebd1b31-21df-4c52-ac10-f01fe83d76bd');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "         veri\n",
              "gruplar      \n",
              "A        16.5\n",
              "B        27.0\n",
              "C        53.5"
            ]
          },
          "metadata": {},
          "execution_count": 129
        }
      ],
      "source": [
        "df.groupby(\"gruplar\").mean()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby(\"gruplar\").sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "kNtzXZXzP8Gr",
        "outputId": "c2640733-554c-4b42-bfaa-9716e442a74a"
      },
      "execution_count": null,
      "outputs": [
        {
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              "  <tbody>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
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              "      background-color: #434B5C;\n",
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              "  </style>\n",
              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3b0d75e3-3942-470e-b956-40a8af2e86a9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  "
            ],
            "text/plain": [
              "         veri\n",
              "gruplar      \n",
              "A          33\n",
              "B          54\n",
              "C         107"
            ]
          },
          "metadata": {},
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Şimdi Geniş Çaplı Bir Örnekle İnceleyelim\n",
        "import seaborn as sns\n",
        "df=sns.load_dataset(\"planets\")\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "v4h_Sj0jQCvU",
        "outputId": "944ee33d-0c55-4f32-8283-03c88bbbb605"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th></th>\n",
              "      <th>method</th>\n",
              "      <th>number</th>\n",
              "      <th>orbital_period</th>\n",
              "      <th>mass</th>\n",
              "      <th>distance</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
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              "      <td>77.40</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
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              "      <td>2008</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>763.000000</td>\n",
              "      <td>2.60</td>\n",
              "      <td>19.84</td>\n",
              "      <td>2011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Radial Velocity</td>\n",
              "      <td>1</td>\n",
              "      <td>326.030000</td>\n",
              "      <td>19.40</td>\n",
              "      <td>110.62</td>\n",
              "      <td>2007</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Radial Velocity</td>\n",
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              "      <td>2009</td>\n",
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              "      <th>...</th>\n",
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              "      <td>...</td>\n",
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              "      <th>1030</th>\n",
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              "      <td>1</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>172.00</td>\n",
              "      <td>2006</td>\n",
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              "    <tr>\n",
              "      <th>1031</th>\n",
              "      <td>Transit</td>\n",
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              "      <td>2.615864</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>2007</td>\n",
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              "      <th>1032</th>\n",
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              "      <td>3.191524</td>\n",
              "      <td>NaN</td>\n",
              "      <td>174.00</td>\n",
              "      <td>2007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1033</th>\n",
              "      <td>Transit</td>\n",
              "      <td>1</td>\n",
              "      <td>4.125083</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>2008</td>\n",
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              "    <tr>\n",
              "      <th>1034</th>\n",
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              "      <td>2008</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>1035 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a6db1d7c-ccca-4c58-84d4-5fb6684f359b')\"\n",
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a6db1d7c-ccca-4c58-84d4-5fb6684f359b button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a6db1d7c-ccca-4c58-84d4-5fb6684f359b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               method  number  orbital_period   mass  distance  year\n",
              "0     Radial Velocity       1      269.300000   7.10     77.40  2006\n",
              "1     Radial Velocity       1      874.774000   2.21     56.95  2008\n",
              "2     Radial Velocity       1      763.000000   2.60     19.84  2011\n",
              "3     Radial Velocity       1      326.030000  19.40    110.62  2007\n",
              "4     Radial Velocity       1      516.220000  10.50    119.47  2009\n",
              "...               ...     ...             ...    ...       ...   ...\n",
              "1030          Transit       1        3.941507    NaN    172.00  2006\n",
              "1031          Transit       1        2.615864    NaN    148.00  2007\n",
              "1032          Transit       1        3.191524    NaN    174.00  2007\n",
              "1033          Transit       1        4.125083    NaN    293.00  2008\n",
              "1034          Transit       1        4.187757    NaN    260.00  2008\n",
              "\n",
              "[1035 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 131
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ucV2yY9iq9Fn",
        "outputId": "0f1c2550-9204-43ed-e87b-25302183549e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x7f6c61edea90>"
            ]
          },
          "metadata": {},
          "execution_count": 132
        }
      ],
      "source": [
        "df.groupby(\"method\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "x7Xl_EZuq9Fo",
        "outputId": "3f0c1d65-72a9-4de7-94f7-c312b5ef5044",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.core.groupby.generic.SeriesGroupBy object at 0x7f6c70d8d190>"
            ]
          },
          "metadata": {},
          "execution_count": 134
        }
      ],
      "source": [
        "df.groupby(\"method\")[\"orbital_period\"] #neye göre gruplanacağı ve değişkeni seçildi çok değişkenli olduğundan"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EaETeohkq9Fo",
        "outputId": "18d87d1b-a879-463a-e056-0a0c26a71aac",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "method\n",
              "Astrometry                          631.180000\n",
              "Eclipse Timing Variations          4751.644444\n",
              "Imaging                          118247.737500\n",
              "Microlensing                       3153.571429\n",
              "Orbital Brightness Modulation         0.709307\n",
              "Pulsar Timing                      7343.021201\n",
              "Pulsation Timing Variations        1170.000000\n",
              "Radial Velocity                     823.354680\n",
              "Transit                              21.102073\n",
              "Transit Timing Variations            79.783500\n",
              "Name: orbital_period, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 135
        }
      ],
      "source": [
        "df.groupby(\"method\")[\"orbital_period\"].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dXhsTOsjq9Fo",
        "outputId": "2d469359-a552-4d19-cdc1-6ffff2188821",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "method\n",
              "Astrometry                            NaN\n",
              "Eclipse Timing Variations        5.125000\n",
              "Imaging                               NaN\n",
              "Microlensing                          NaN\n",
              "Orbital Brightness Modulation         NaN\n",
              "Pulsar Timing                         NaN\n",
              "Pulsation Timing Variations           NaN\n",
              "Radial Velocity                  2.630699\n",
              "Transit                          1.470000\n",
              "Transit Timing Variations             NaN\n",
              "Name: mass, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 136
        }
      ],
      "source": [
        "df.groupby(\"method\")[\"mass\"].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FAh2wMQ4q9Fo",
        "outputId": "39100a11-63f2-4d84-be02-89924126a583",
        "colab": {
          "base_uri": "https://localhost:8080/",
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        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>0.090706</td>\n",
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              "                                                     [key], {});\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "                               count  ...            max\n",
              "method                                ...               \n",
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              "Eclipse Timing Variations        9.0  ...   10220.000000\n",
              "Imaging                         12.0  ...  730000.000000\n",
              "Microlensing                     7.0  ...    5100.000000\n",
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              "\n",
              "[10 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 137
        }
      ],
      "source": [
        "df.groupby(\"method\")[\"orbital_period\"].describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0YCLG2QOq9mx"
      },
      "source": [
        "### İleri toplulaştırma işlemleri(aggregate,filter,transform,apply)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o2H7KbFNq9mz"
      },
      "source": [
        "###Aggregate"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wvW4DLOaq9mz"
      },
      "source": [
        "* Gerçek veri ile karşılaşıldığında yapılması gerekenler.\n",
        "\n",
        "* İleri toplulaştırma işlemleri ise üstteki durumda işimize yarayacaktır"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "id": "xVij__GGq9m1",
        "outputId": "20d3e0f5-2244-42c0-aa9f-d2584fbc23c3",
        "colab": {
          "base_uri": "https://localhost:8080/",
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      "outputs": [
        {
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              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-027649dd-c581-4dbd-bab2-59d7c18499c2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-027649dd-c581-4dbd-bab2-59d7c18499c2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  gruplar  degisken1  degisken2\n",
              "0       A         10        100\n",
              "1       B         23        253\n",
              "2       C         33        333\n",
              "3       A         22        262\n",
              "4       B         11        111\n",
              "5       C         99        969"
            ]
          },
          "metadata": {},
          "execution_count": 138
        }
      ],
      "source": [
        "df = pd.DataFrame({\"gruplar\":[\"A\",\"B\",\"C\",\"A\",\"B\",\"C\"],\n",
        "                  \"degisken1\":[10,23,33,22,11,99],\n",
        "                  \"degisken2\":[100,253,333,262,111,969]}, \n",
        "                 columns=[\"gruplar\",\"degisken1\",\"degisken2\"],)\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rEyXRtqKq9m2",
        "outputId": "c7b6c23e-7b2c-47e1-a765-29bba859f49e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x7f6c61efdd10>"
            ]
          },
          "metadata": {},
          "execution_count": 139
        }
      ],
      "source": [
        "df.groupby(\"gruplar\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s6FjE6nCq9m2",
        "outputId": "4dabdc79-b142-4ed2-ceb3-a0ed8e8e6f90",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gruplar</th>\n",
              "      <th></th>\n",
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              "      <th>C</th>\n",
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              "      <td>651</td>\n",
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              "          const element = document.querySelector('#df-e32c23cc-5bc0-4c7b-b6ec-06fa8af630ec');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "         degisken1  degisken2\n",
              "gruplar                      \n",
              "A               16        181\n",
              "B               17        182\n",
              "C               66        651"
            ]
          },
          "metadata": {},
          "execution_count": 140
        }
      ],
      "source": [
        "df.groupby(\"gruplar\").mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0czAQwbGq9m3",
        "outputId": "62685d75-ff27-4deb-b2e1-0efedfb52151",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th colspan=\"3\" halign=\"left\">degisken1</th>\n",
              "      <th colspan=\"3\" halign=\"left\">degisken2</th>\n",
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              "    <tr>\n",
              "      <th></th>\n",
              "      <th>min</th>\n",
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              "      <th>max</th>\n",
              "      <th>min</th>\n",
              "      <th>median</th>\n",
              "      <th>max</th>\n",
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              "    <tr>\n",
              "      <th>gruplar</th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>10</td>\n",
              "      <td>16</td>\n",
              "      <td>22</td>\n",
              "      <td>100</td>\n",
              "      <td>181</td>\n",
              "      <td>262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B</th>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>111</td>\n",
              "      <td>182</td>\n",
              "      <td>253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>C</th>\n",
              "      <td>33</td>\n",
              "      <td>66</td>\n",
              "      <td>99</td>\n",
              "      <td>333</td>\n",
              "      <td>651</td>\n",
              "      <td>969</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6074922e-4531-45db-bbe8-7401bdacb8b2')\"\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6074922e-4531-45db-bbe8-7401bdacb8b2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6074922e-4531-45db-bbe8-7401bdacb8b2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        degisken1            degisken2            \n",
              "              min median max       min median  max\n",
              "gruplar                                           \n",
              "A              10     16  22       100    181  262\n",
              "B              11     17  23       111    182  253\n",
              "C              33     66  99       333    651  969"
            ]
          },
          "metadata": {},
          "execution_count": 142
        }
      ],
      "source": [
        "df.groupby(\"gruplar\").aggregate([\"min\", np.median, max])  #başkasından alınan değişken normal yazılırken(alındığı kütüphaneye bağlanarak ) pandasın içindeki\n",
        "                                                                 #fonksiyonlar ise \"\" yada normal yazılabilinir"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sRXmgoMcq9m3",
        "outputId": "c48b1e0f-ae06-402a-c4bf-cf51df322d82",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f18e92a5-8a45-41c3-94e2-3cc24eb2ec66 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f18e92a5-8a45-41c3-94e2-3cc24eb2ec66');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "         degisken1  degisken2\n",
              "gruplar                      \n",
              "A               10        262\n",
              "B               11        253\n",
              "C               33        969"
            ]
          },
          "metadata": {},
          "execution_count": 143
        }
      ],
      "source": [
        "df.groupby(\"gruplar\").aggregate({\"degisken1\":\"min\",\"degisken2\": \"max\"}) #değişkenler üzerinde farklı işelmeler yaptırmamızı sağlar"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4ujqIlhjq9m3"
      },
      "source": [
        "### Filter"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wl_RQ8IUq9m4"
      },
      "source": [
        "\n",
        ">Filtelemek için fonksiyon tanımlayıp daha karmaşık koşullar için onu filter(fonksiyon) şeklinde yazarak kullanırız."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8QC00Ak9q9m4",
        "outputId": "3c19083d-7ec1-443b-e607-e76ec710cc79",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-d3d1b6c5-47aa-4ce9-9e94-ed439a25d9b7\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gruplar</th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A</td>\n",
              "      <td>10</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>B</td>\n",
              "      <td>23</td>\n",
              "      <td>253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>C</td>\n",
              "      <td>33</td>\n",
              "      <td>333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A</td>\n",
              "      <td>22</td>\n",
              "      <td>262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>B</td>\n",
              "      <td>11</td>\n",
              "      <td>111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>C</td>\n",
              "      <td>99</td>\n",
              "      <td>969</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d3d1b6c5-47aa-4ce9-9e94-ed439a25d9b7')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d3d1b6c5-47aa-4ce9-9e94-ed439a25d9b7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d3d1b6c5-47aa-4ce9-9e94-ed439a25d9b7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  gruplar  degisken1  degisken2\n",
              "0       A         10        100\n",
              "1       B         23        253\n",
              "2       C         33        333\n",
              "3       A         22        262\n",
              "4       B         11        111\n",
              "5       C         99        969"
            ]
          },
          "metadata": {},
          "execution_count": 144
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "10mo83bnq9m4"
      },
      "outputs": [],
      "source": [
        "def filter_func(x):\n",
        "    return x[\"degisken1\"].std() > 9"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2U0LnkCUq9m4",
        "outputId": "c79e266e-f134-40cb-9115-5db3f440f751",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0b65b3df-1378-49a7-ac1e-6af3058d4e8e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gruplar</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>8.485281</td>\n",
              "      <td>114.551299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B</th>\n",
              "      <td>8.485281</td>\n",
              "      <td>100.409163</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>C</th>\n",
              "      <td>46.669048</td>\n",
              "      <td>449.719913</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0b65b3df-1378-49a7-ac1e-6af3058d4e8e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-0b65b3df-1378-49a7-ac1e-6af3058d4e8e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-0b65b3df-1378-49a7-ac1e-6af3058d4e8e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "         degisken1   degisken2\n",
              "gruplar                       \n",
              "A         8.485281  114.551299\n",
              "B         8.485281  100.409163\n",
              "C        46.669048  449.719913"
            ]
          },
          "metadata": {},
          "execution_count": 146
        }
      ],
      "source": [
        "df.groupby(\"gruplar\").std()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby(\"gruplar\").filter(filter_func)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        },
        "id": "gwmk1tGMUPSk",
        "outputId": "f52ad19c-83fa-4300-a209-69989650b112"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-10ac51c9-a7a7-48a0-9857-3b4822200d23\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gruplar</th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>C</td>\n",
              "      <td>33</td>\n",
              "      <td>333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>C</td>\n",
              "      <td>99</td>\n",
              "      <td>969</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-10ac51c9-a7a7-48a0-9857-3b4822200d23')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-10ac51c9-a7a7-48a0-9857-3b4822200d23 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-10ac51c9-a7a7-48a0-9857-3b4822200d23');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  gruplar  degisken1  degisken2\n",
              "2       C         33        333\n",
              "5       C         99        969"
            ]
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y6A7y6-Dq9m5"
      },
      "source": [
        "### Transform"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JBIWXHgiq9m5"
      },
      "source": [
        ">Değişkenlerine dönüştürme işlemi(df[\"degisken1\"]*9 )istersek ve bu değişken istediğimiz şekilde değilse\n",
        "kendimiz tanımlayıp değişkenlerde gezdirebiliriz\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8rN-1OE7q9m5",
        "outputId": "3a6ff01c-a62c-4587-959a-c8f031cd68e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gruplar</th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A</td>\n",
              "      <td>10</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>B</td>\n",
              "      <td>23</td>\n",
              "      <td>253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>C</td>\n",
              "      <td>33</td>\n",
              "      <td>333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A</td>\n",
              "      <td>22</td>\n",
              "      <td>262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>B</td>\n",
              "      <td>11</td>\n",
              "      <td>111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>C</td>\n",
              "      <td>99</td>\n",
              "      <td>969</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-264722a7-797f-4ffa-a9de-7e5aa0c8812a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-264722a7-797f-4ffa-a9de-7e5aa0c8812a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-264722a7-797f-4ffa-a9de-7e5aa0c8812a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  gruplar  degisken1  degisken2\n",
              "0       A         10        100\n",
              "1       B         23        253\n",
              "2       C         33        333\n",
              "3       A         22        262\n",
              "4       B         11        111\n",
              "5       C         99        969"
            ]
          },
          "metadata": {},
          "execution_count": 148
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eBFDuD8Gq9m6",
        "outputId": "005da46e-85ae-4d35-9f17-fd9de1103125",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     90\n",
              "1    207\n",
              "2    297\n",
              "3    198\n",
              "4     99\n",
              "5    891\n",
              "Name: degisken1, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 149
        }
      ],
      "source": [
        "df[\"degisken1\"]*9"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "00RMr-y3q9m6",
        "outputId": "ab372852-ce6c-4974-f872-76476aeb6288",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9484c607-d89e-45c3-a1bc-5a563b8e8d1c\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>23</td>\n",
              "      <td>253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>33</td>\n",
              "      <td>333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>22</td>\n",
              "      <td>262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>11</td>\n",
              "      <td>111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>99</td>\n",
              "      <td>969</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9484c607-d89e-45c3-a1bc-5a563b8e8d1c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9484c607-d89e-45c3-a1bc-5a563b8e8d1c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9484c607-d89e-45c3-a1bc-5a563b8e8d1c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0         10        100\n",
              "1         23        253\n",
              "2         33        333\n",
              "3         22        262\n",
              "4         11        111\n",
              "5         99        969"
            ]
          },
          "metadata": {},
          "execution_count": 150
        }
      ],
      "source": [
        "df.loc[:,[\"degisken1\",\"degisken2\"]] #pandas dataframe de slice işlemi için indekse bağlı kalacaksak loc kalmayacaksak iloc işlemi yapılır"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QYIZGiYUq9m6"
      },
      "outputs": [],
      "source": [
        "df_a = df.iloc[:,1:3]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cHT3j2H6q9m7"
      },
      "source": [
        "* lambda fonksiyon isimlendirmesi yapmadan bir fonsiyon işlemi yapmaya yarar"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "joyhdmX1q9m7",
        "outputId": "52fdc2a9-1ee9-48aa-c1e5-cae7968a1bed",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-bf6b65ca-96d3-4056-a103-4a887a8e3207\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-23.0</td>\n",
              "      <td>-238.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-10.0</td>\n",
              "      <td>-85.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.0</td>\n",
              "      <td>-5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-11.0</td>\n",
              "      <td>-76.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-22.0</td>\n",
              "      <td>-227.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>66.0</td>\n",
              "      <td>631.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bf6b65ca-96d3-4056-a103-4a887a8e3207')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "          document.querySelector('#df-bf6b65ca-96d3-4056-a103-4a887a8e3207 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-bf6b65ca-96d3-4056-a103-4a887a8e3207');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0      -23.0     -238.0\n",
              "1      -10.0      -85.0\n",
              "2        0.0       -5.0\n",
              "3      -11.0      -76.0\n",
              "4      -22.0     -227.0\n",
              "5       66.0      631.0"
            ]
          },
          "metadata": {},
          "execution_count": 152
        }
      ],
      "source": [
        "df_a.transform(lambda x: x-x.mean())"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_a.transform(lambda x: x*9)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "sZ0J8rPfU_Nj",
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      "execution_count": null,
      "outputs": [
        {
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          "data": {
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              "\n",
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              "      <th></th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
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              "      <td>90</td>\n",
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              "      <th>5</th>\n",
              "      <td>891</td>\n",
              "      <td>8721</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-13c7a840-ed88-4305-9237-452fbec87851')\"\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-13c7a840-ed88-4305-9237-452fbec87851');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0         90        900\n",
              "1        207       2277\n",
              "2        297       2997\n",
              "3        198       2358\n",
              "4         99        999\n",
              "5        891       8721"
            ]
          },
          "metadata": {},
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_a.transform(lambda x: (x-x.mean()) / x.std())"
      ],
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          "base_uri": "https://localhost:8080/",
          "height": 235
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        "id": "FacCB2gRVFFG",
        "outputId": "3d12d9d4-1c06-4757-8c09-a8f7661a7635"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.687871</td>\n",
              "      <td>-0.738461</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-0.299074</td>\n",
              "      <td>-0.263736</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.015514</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.328982</td>\n",
              "      <td>-0.235811</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-0.657963</td>\n",
              "      <td>-0.704331</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1.973890</td>\n",
              "      <td>1.957853</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-161b071d-5a98-4428-8080-ac7dfd02ab38')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-161b071d-5a98-4428-8080-ac7dfd02ab38 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-161b071d-5a98-4428-8080-ac7dfd02ab38');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0  -0.687871  -0.738461\n",
              "1  -0.299074  -0.263736\n",
              "2   0.000000  -0.015514\n",
              "3  -0.328982  -0.235811\n",
              "4  -0.657963  -0.704331\n",
              "5   1.973890   1.957853"
            ]
          },
          "metadata": {},
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Apply\n",
        ">Pandas DataFrame yapısında yer alan apply() fonksiyonu içerisinde lambda kullanarak var olan değişkenin içerisinde değişiklik yapabilir ya da DataFrame objesi içerisinde yer alan değişkenlerden yeni değişkenler türetilebilir."
      ],
      "metadata": {
        "id": "lGD4g7NJVZVy"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PiDMVTloq9m7",
        "outputId": "611deebe-11b3-48aa-981b-55f48df7298e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>10</td>\n",
              "      <td>100</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>23</td>\n",
              "      <td>253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>33</td>\n",
              "      <td>333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>22</td>\n",
              "      <td>262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>11</td>\n",
              "      <td>111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>99</td>\n",
              "      <td>969</td>\n",
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              "  </tbody>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d052d425-1d3e-4352-b83c-fe11d3443d4a')\"\n",
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              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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              "  </style>\n",
              "\n",
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              "          document.querySelector('#df-d052d425-1d3e-4352-b83c-fe11d3443d4a button.colab-df-convert');\n",
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              "\n",
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              "          const element = document.querySelector('#df-d052d425-1d3e-4352-b83c-fe11d3443d4a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0         10        100\n",
              "1         23        253\n",
              "2         33        333\n",
              "3         22        262\n",
              "4         11        111\n",
              "5         99        969"
            ]
          },
          "metadata": {},
          "execution_count": 155
        }
      ],
      "source": [
        "df = pd.DataFrame({\"degisken1\":[10,23,33,22,11,99],\n",
        "                  \"degisken2\":[100,253,333,262,111,969]}, \n",
        "                 columns=[\"degisken1\",\"degisken2\"],)\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NlftCJfeq9m8",
        "outputId": "28fae0a8-5928-4e2f-e8ce-ab58ac548ff6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "degisken1     198\n",
              "degisken2    2028\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 157
        }
      ],
      "source": [
        "df.apply(np.sum)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iVFcQsYWq9m8",
        "outputId": "2fb44426-b2ff-48bb-d7d9-c5cb6e70cde8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "degisken1     231.0\n",
              "degisken2    2366.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 158
        }
      ],
      "source": [
        "df.apply(lambda x: x.mean()+x.sum())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TWHpNi_Mq9m8",
        "outputId": "f921a4b3-6a11-4db1-83f8-eabe720fadfe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
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        {
          "output_type": "execute_result",
          "data": {
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ],
            "text/plain": [
              "  gruplar  degisken1  degisken2\n",
              "0       A         10        100\n",
              "1       B         23        253\n",
              "2       C         33        333\n",
              "3       A         22        262\n",
              "4       B         11        111\n",
              "5       C         99        969"
            ]
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          "metadata": {},
          "execution_count": 160
        }
      ],
      "source": [
        "df = pd.DataFrame({\"gruplar\":[\"A\",\"B\",\"C\",\"A\",\"B\",\"C\"],\n",
        "                  \"degisken1\":[10,23,33,22,11,99],\n",
        "                  \"degisken2\":[100,253,333,262,111,969]}, \n",
        "                 columns=[\"gruplar\",\"degisken1\",\"degisken2\"],)\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby(\"gruplar\").apply(np.sum)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "aqjkiFuIVhbG",
        "outputId": "670b586e-63ef-4003-c2e1-fd12707ded39"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gruplar</th>\n",
              "      <th>degisken1</th>\n",
              "      <th>degisken2</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gruplar</th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>A</th>\n",
              "      <td>AA</td>\n",
              "      <td>32</td>\n",
              "      <td>362</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B</th>\n",
              "      <td>BB</td>\n",
              "      <td>34</td>\n",
              "      <td>364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>C</th>\n",
              "      <td>CC</td>\n",
              "      <td>132</td>\n",
              "      <td>1302</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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              "\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9f27ac84-b550-448f-ab9f-41805954ac4e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9f27ac84-b550-448f-ab9f-41805954ac4e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        gruplar  degisken1  degisken2\n",
              "gruplar                              \n",
              "A            AA         32        362\n",
              "B            BB         34        364\n",
              "C            CC        132       1302"
            ]
          },
          "metadata": {},
          "execution_count": 161
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_a.transform(lambda x: (x-x.mean()) / x.std())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0  -0.687871  -0.738461\n",
              "1  -0.299074  -0.263736\n",
              "2   0.000000  -0.015514\n",
              "3  -0.328982  -0.235811\n",
              "4  -0.657963  -0.704331\n",
              "5   1.973890   1.957853"
            ]
          },
          "metadata": {},
          "execution_count": 162
        }
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    },
    {
      "cell_type": "code",
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        "df_a.apply(lambda x: (x-x.mean()) / x.std())"
      ],
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          "height": 235
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        "id": "byZ_2JOEV8fZ",
        "outputId": "e7433cc4-2741-4686-a633-fc06da19943d"
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      "execution_count": null,
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              "\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-fef37de6-f13e-42fa-981b-d4fcf6025370 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-fef37de6-f13e-42fa-981b-d4fcf6025370');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   degisken1  degisken2\n",
              "0  -0.687871  -0.738461\n",
              "1  -0.299074  -0.263736\n",
              "2   0.000000  -0.015514\n",
              "3  -0.328982  -0.235811\n",
              "4  -0.657963  -0.704331\n",
              "5   1.973890   1.957853"
            ]
          },
          "metadata": {},
          "execution_count": 163
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_a.apply(lambda x: x.mean()+x.sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SGddhkKPV-AC",
        "outputId": "f578c866-a087-4516-dc90-07d196f2410e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "degisken1     231.0\n",
              "degisken2    2366.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 164
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_a.apply(lambda x: x.mean())"
      ],
      "metadata": {
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        },
        "id": "9VSzdVBzWIhB",
        "outputId": "fee4c2fa-5e16-42a9-87a7-ae3118f0d15e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "degisken1     33.0\n",
              "degisken2    338.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 165
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_a.apply(lambda x: x.sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V4UZWX-CWOXC",
        "outputId": "74e91688-715f-43f9-950b-5c65f914eef2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "degisken1     198\n",
              "degisken2    2028\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "62340Bpoq9ov"
      },
      "source": [
        "### Pivot Tablolar\n",
        "\n",
        ">Pivot operatörü ile satırlar sütunlara dönüştürülür. Bunun için girdi tablo ifadeden, bir sütunu pivot olarak belirlemek gerekir.Pivot table, daha çok verileri gruplamak ve ortalama değerlerle birlikte görüntülemek amacıyla kullanılır. Verilerin tablo halinde görüntülenmesini sağlar."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VM-5IbFaq9oy",
        "outputId": "1a5c089c-05b7-4267-b519-608897f870b7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th></th>\n",
              "      <th>survived</th>\n",
              "      <th>pclass</th>\n",
              "      <th>sex</th>\n",
              "      <th>age</th>\n",
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              "      <th>adult_male</th>\n",
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              "      <th>0</th>\n",
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              "      <td>Third</td>\n",
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              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>no</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
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              "      <th>1</th>\n",
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              "      <td>C</td>\n",
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              "      <td>False</td>\n",
              "      <td>C</td>\n",
              "      <td>Cherbourg</td>\n",
              "      <td>yes</td>\n",
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              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>female</td>\n",
              "      <td>26.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>S</td>\n",
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              "      <td>First</td>\n",
              "      <td>woman</td>\n",
              "      <td>False</td>\n",
              "      <td>C</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>yes</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>male</td>\n",
              "      <td>35.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8.0500</td>\n",
              "      <td>S</td>\n",
              "      <td>Third</td>\n",
              "      <td>man</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>no</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-27189b80-25a7-4aa0-91a2-b7b6c3354963')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "  </svg>\n",
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              "      \n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-27189b80-25a7-4aa0-91a2-b7b6c3354963');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   survived  pclass     sex   age  ...  deck  embark_town  alive  alone\n",
              "0         0       3    male  22.0  ...   NaN  Southampton     no  False\n",
              "1         1       1  female  38.0  ...     C    Cherbourg    yes  False\n",
              "2         1       3  female  26.0  ...   NaN  Southampton    yes   True\n",
              "3         1       1  female  35.0  ...     C  Southampton    yes  False\n",
              "4         0       3    male  35.0  ...   NaN  Southampton     no   True\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 167
        }
      ],
      "source": [
        "titanic = sns.load_dataset(\"titanic\")\n",
        "titanic.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OVzl7XLAq9oz",
        "outputId": "82a494b2-1870-465b-9db7-4bcae868b169",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "sex\n",
              "female    0.742038\n",
              "male      0.188908\n",
              "Name: survived, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 168
        }
      ],
      "source": [
        "titanic.groupby(\"sex\")[\"survived\"].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3tN_4xscq9o0",
        "outputId": "ec1180b7-18c9-49cb-86be-fb77a5af2042",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>survived</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sex</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>female</th>\n",
              "      <td>0.742038</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>male</th>\n",
              "      <td>0.188908</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-af2fa669-3540-45a2-a4f0-5f95c73c98bc')\"\n",
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              "              style=\"display:none;\">\n",
              "        \n",
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              "  </svg>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-af2fa669-3540-45a2-a4f0-5f95c73c98bc');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        survived\n",
              "sex             \n",
              "female  0.742038\n",
              "male    0.188908"
            ]
          },
          "metadata": {},
          "execution_count": 169
        }
      ],
      "source": [
        "titanic.groupby(\"sex\")[[\"survived\"]].mean() #dataframe için iki parantezde yap"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ziJPPl8Iq9o0",
        "outputId": "af29e5aa-afde-43f5-d1cc-97a97d732cb7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-44837efc-7622-4285-a5ae-58348da99413\">\n",
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              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"3\" halign=\"left\">survived</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>class</th>\n",
              "      <th>First</th>\n",
              "      <th>Second</th>\n",
              "      <th>Third</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sex</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>female</th>\n",
              "      <td>0.968085</td>\n",
              "      <td>0.921053</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>male</th>\n",
              "      <td>0.368852</td>\n",
              "      <td>0.157407</td>\n",
              "      <td>0.135447</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-44837efc-7622-4285-a5ae-58348da99413')\"\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-44837efc-7622-4285-a5ae-58348da99413 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-44837efc-7622-4285-a5ae-58348da99413');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        survived                    \n",
              "class      First    Second     Third\n",
              "sex                                 \n",
              "female  0.968085  0.921053  0.500000\n",
              "male    0.368852  0.157407  0.135447"
            ]
          },
          "metadata": {},
          "execution_count": 170
        }
      ],
      "source": [
        "titanic.groupby([\"sex\", \"class\"])[[\"survived\"]].aggregate(\"mean\").unstack() #grupladı değişken secti ve aggretae içindeki şeyleri yazdık"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TOEe1aH8q9o1",
        "outputId": "35ccbbb9-b3d3-4cbc-d6d3-ac558641bef8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>class</th>\n",
              "      <th>First</th>\n",
              "      <th>Second</th>\n",
              "      <th>Third</th>\n",
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              "      <th>female</th>\n",
              "      <td>0.968085</td>\n",
              "      <td>0.921053</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>male</th>\n",
              "      <td>0.368852</td>\n",
              "      <td>0.157407</td>\n",
              "      <td>0.135447</td>\n",
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              "</table>\n",
              "</div>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-8658a5ec-fa81-4d71-8224-9969fb32897f button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8658a5ec-fa81-4d71-8224-9969fb32897f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "class      First    Second     Third\n",
              "sex                                 \n",
              "female  0.968085  0.921053  0.500000\n",
              "male    0.368852  0.157407  0.135447"
            ]
          },
          "metadata": {},
          "execution_count": 171
        }
      ],
      "source": [
        "titanic.pivot_table(\"survived\", index=\"sex\", columns=\"class\") #(değişken, index, başka değişken varmı)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VQQvNBNTq9o1",
        "outputId": "77fffdbe-b117-4a64-9941-3f774fd0d938",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    22.0\n",
              "1    38.0\n",
              "2    26.0\n",
              "3    35.0\n",
              "4    35.0\n",
              "5     NaN\n",
              "6    54.0\n",
              "7     2.0\n",
              "8    27.0\n",
              "9    14.0\n",
              "Name: age, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 172
        }
      ],
      "source": [
        "titanic.age.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JyrWQUZiq9o2",
        "outputId": "9c5d0a5c-230f-43b3-a689-2ecfae8a7e35",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    (18.0, 90.0]\n",
              "1    (18.0, 90.0]\n",
              "2    (18.0, 90.0]\n",
              "3    (18.0, 90.0]\n",
              "4    (18.0, 90.0]\n",
              "5             NaN\n",
              "6    (18.0, 90.0]\n",
              "7             NaN\n",
              "8    (18.0, 90.0]\n",
              "9    (10.0, 18.0]\n",
              "Name: age, dtype: category\n",
              "Categories (2, interval[int64]): [(10, 18] < (18, 90]]"
            ]
          },
          "metadata": {},
          "execution_count": 173
        }
      ],
      "source": [
        "age = pd.cut(titanic[\"age\"],[10,18,90])\n",
        "age.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1w0JqJFUq9o2",
        "outputId": "231bbb4c-3b76-4345-a258-4f334f98a60e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-1c4bb954-45c8-43b9-bea4-141cd1178c81\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>class</th>\n",
              "      <th>First</th>\n",
              "      <th>Second</th>\n",
              "      <th>Third</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sex</th>\n",
              "      <th>age</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">female</th>\n",
              "      <th>(10, 18]</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.523810</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(18, 90]</th>\n",
              "      <td>0.972973</td>\n",
              "      <td>0.900000</td>\n",
              "      <td>0.423729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">male</th>\n",
              "      <th>(10, 18]</th>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.103448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(18, 90]</th>\n",
              "      <td>0.375000</td>\n",
              "      <td>0.071429</td>\n",
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              "  </svg>\n",
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              "\n",
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              "      border: none;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-1c4bb954-45c8-43b9-bea4-141cd1178c81');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "class               First    Second     Third\n",
              "sex    age                                   \n",
              "female (10, 18]  1.000000  1.000000  0.523810\n",
              "       (18, 90]  0.972973  0.900000  0.423729\n",
              "male   (10, 18]  0.666667  0.000000  0.103448\n",
              "       (18, 90]  0.375000  0.071429  0.133663"
            ]
          },
          "metadata": {},
          "execution_count": 174
        }
      ],
      "source": [
        "titanic.pivot_table(\"survived\", [\"sex\",age], \"class\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "### Dış Kaynaklı Veri Okuma"
      ],
      "metadata": {
        "id": "wq3Uwr86WosA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#csv okuma\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "pd.read_csv(\"/content/drive/MyDrive/Colab Notebooks/pokemon_data.csv\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "id": "9JRHuORYWk8y",
        "outputId": "a4394b6f-81b2-43e2-f4a1-d54a5ee157c8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-d79fc793-e690-4032-a8e5-843ac4683d29\">\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>#</th>\n",
              "      <th>Name</th>\n",
              "      <th>Type 1</th>\n",
              "      <th>Type 2</th>\n",
              "      <th>HP</th>\n",
              "      <th>Attack</th>\n",
              "      <th>Defense</th>\n",
              "      <th>Sp. Atk</th>\n",
              "      <th>Sp. Def</th>\n",
              "      <th>Speed</th>\n",
              "      <th>Generation</th>\n",
              "      <th>Legendary</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Bulbasaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>45</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>65</td>\n",
              "      <td>65</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Ivysaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>60</td>\n",
              "      <td>62</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>60</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Venusaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>80</td>\n",
              "      <td>82</td>\n",
              "      <td>83</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>VenusaurMega Venusaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>80</td>\n",
              "      <td>100</td>\n",
              "      <td>123</td>\n",
              "      <td>122</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>Charmander</td>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>795</th>\n",
              "      <td>719</td>\n",
              "      <td>Diancie</td>\n",
              "      <td>Rock</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>50</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>50</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>796</th>\n",
              "      <td>719</td>\n",
              "      <td>DiancieMega Diancie</td>\n",
              "      <td>Rock</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>50</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>110</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>797</th>\n",
              "      <td>720</td>\n",
              "      <td>HoopaHoopa Confined</td>\n",
              "      <td>Psychic</td>\n",
              "      <td>Ghost</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>60</td>\n",
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              "      <td>70</td>\n",
              "      <td>6</td>\n",
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              "    <tr>\n",
              "      <th>798</th>\n",
              "      <td>720</td>\n",
              "      <td>HoopaHoopa Unbound</td>\n",
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              "      <td>Dark</td>\n",
              "      <td>80</td>\n",
              "      <td>160</td>\n",
              "      <td>60</td>\n",
              "      <td>170</td>\n",
              "      <td>130</td>\n",
              "      <td>80</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>799</th>\n",
              "      <td>721</td>\n",
              "      <td>Volcanion</td>\n",
              "      <td>Fire</td>\n",
              "      <td>Water</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>120</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>800 rows × 12 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d79fc793-e690-4032-a8e5-843ac4683d29')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d79fc793-e690-4032-a8e5-843ac4683d29 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d79fc793-e690-4032-a8e5-843ac4683d29');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       #                   Name   Type 1  ... Speed  Generation  Legendary\n",
              "0      1              Bulbasaur    Grass  ...    45           1      False\n",
              "1      2                Ivysaur    Grass  ...    60           1      False\n",
              "2      3               Venusaur    Grass  ...    80           1      False\n",
              "3      3  VenusaurMega Venusaur    Grass  ...    80           1      False\n",
              "4      4             Charmander     Fire  ...    65           1      False\n",
              "..   ...                    ...      ...  ...   ...         ...        ...\n",
              "795  719                Diancie     Rock  ...    50           6       True\n",
              "796  719    DiancieMega Diancie     Rock  ...   110           6       True\n",
              "797  720    HoopaHoopa Confined  Psychic  ...    70           6       True\n",
              "798  720     HoopaHoopa Unbound  Psychic  ...    80           6       True\n",
              "799  721              Volcanion     Fire  ...    70           6       True\n",
              "\n",
              "[800 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 176
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#excel\n",
        "pd.read_excel(\"/content/drive/MyDrive/Colab Notebooks/pandas-master/pokemon_data.xlsx\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "KZB4o4iWWsCh",
        "outputId": "35e18a78-76dd-4ca2-8096-336f9b118c86"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-8f14a612-610d-4e22-8371-c3fdde51f0fa\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>#</th>\n",
              "      <th>Name</th>\n",
              "      <th>Type 1</th>\n",
              "      <th>Type 2</th>\n",
              "      <th>HP</th>\n",
              "      <th>Attack</th>\n",
              "      <th>Defense</th>\n",
              "      <th>Sp. Atk</th>\n",
              "      <th>Sp. Def</th>\n",
              "      <th>Speed</th>\n",
              "      <th>Generation</th>\n",
              "      <th>Legendary</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Bulbasaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>45</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>65</td>\n",
              "      <td>65</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Ivysaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>60</td>\n",
              "      <td>62</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Venusaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>80</td>\n",
              "      <td>82</td>\n",
              "      <td>83</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>VenusaurMega Venusaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>80</td>\n",
              "      <td>100</td>\n",
              "      <td>123</td>\n",
              "      <td>122</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>Charmander</td>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>795</th>\n",
              "      <td>719</td>\n",
              "      <td>Diancie</td>\n",
              "      <td>Rock</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>50</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>50</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>796</th>\n",
              "      <td>719</td>\n",
              "      <td>DiancieMega Diancie</td>\n",
              "      <td>Rock</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>50</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>110</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>797</th>\n",
              "      <td>720</td>\n",
              "      <td>HoopaHoopa Confined</td>\n",
              "      <td>Psychic</td>\n",
              "      <td>Ghost</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>60</td>\n",
              "      <td>150</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>798</th>\n",
              "      <td>720</td>\n",
              "      <td>HoopaHoopa Unbound</td>\n",
              "      <td>Psychic</td>\n",
              "      <td>Dark</td>\n",
              "      <td>80</td>\n",
              "      <td>160</td>\n",
              "      <td>60</td>\n",
              "      <td>170</td>\n",
              "      <td>130</td>\n",
              "      <td>80</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>799</th>\n",
              "      <td>721</td>\n",
              "      <td>Volcanion</td>\n",
              "      <td>Fire</td>\n",
              "      <td>Water</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>120</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>800 rows × 12 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8f14a612-610d-4e22-8371-c3fdde51f0fa')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8f14a612-610d-4e22-8371-c3fdde51f0fa button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8f14a612-610d-4e22-8371-c3fdde51f0fa');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       #                   Name   Type 1  ... Speed  Generation  Legendary\n",
              "0      1              Bulbasaur    Grass  ...    45           1      False\n",
              "1      2                Ivysaur    Grass  ...    60           1      False\n",
              "2      3               Venusaur    Grass  ...    80           1      False\n",
              "3      3  VenusaurMega Venusaur    Grass  ...    80           1      False\n",
              "4      4             Charmander     Fire  ...    65           1      False\n",
              "..   ...                    ...      ...  ...   ...         ...        ...\n",
              "795  719                Diancie     Rock  ...    50           6       True\n",
              "796  719    DiancieMega Diancie     Rock  ...   110           6       True\n",
              "797  720    HoopaHoopa Confined  Psychic  ...    70           6       True\n",
              "798  720     HoopaHoopa Unbound  Psychic  ...    80           6       True\n",
              "799  721              Volcanion     Fire  ...    70           6       True\n",
              "\n",
              "[800 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 177
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "MMSKMuztZ23B"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}