TCS_stock_price_prediction.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TCS-stock-price-prediction.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/pravinkr/stock-price-prediction/blob/master/TCS_stock_price_prediction.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HewEg1D42Z7t",
        "colab_type": "code",
        "outputId": "8efeb255-2275-4e2d-d43d-7196a07d5b52",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZqNS18r82Xg3",
        "colab_type": "code",
        "outputId": "ca7f0ca0-80ac-4891-acd8-1e62be1d34e2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!ls /content/gdrive/My\\ Drive/MLProjects"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock-price-predictions  yolo\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sMAIhLRkl1Ut",
        "colab_type": "code",
        "outputId": "5886a856-0fca-4ea7-d7c4-b2db53bd1de4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd /content/gdrive/My\\ Drive/MLProjects"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/gdrive/My Drive/MLProjects\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6P3lYDW9l5l3",
        "colab_type": "code",
        "outputId": "74723755-a7df-4a37-826e-b1c626a5d8dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!mkdir stock-price-predictions"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mkdir: cannot create directory ‘stock-price-predictions’: File exists\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fnWkD9N7mN30",
        "colab_type": "code",
        "outputId": "60b817e9-49cb-482f-8643-7752002dd795",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd stock-price-predictions/"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/gdrive/My Drive/MLProjects/stock-price-predictions\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5Xsuki6HmU33",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J7umMvREncWT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "## For TCS stock prices\n",
        "dataset = pd.read_csv('TCS-stock-prices.csv', index_col='Date',parse_dates=True) \n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IcTbeD3LoBV6",
        "colab_type": "code",
        "outputId": "8cad149d-90f3-4eda-8d60-4875d9337bd8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "dataset.head"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.head of             Open Price  High Price  ...  Spread High-Low  Spread Close-Open\n",
              "Date                                ...                                    \n",
              "2004-08-25     1076.00     1080.00  ...           101.00             -88.50\n",
              "2004-08-26      992.70      996.70  ...            21.40             -14.15\n",
              "2004-08-27      982.45      982.45  ...            23.90             -20.10\n",
              "2004-08-30      967.70      989.75  ...            24.75              18.55\n",
              "2004-08-31      989.00      990.00  ...            14.00              -1.05\n",
              "2004-09-01      988.50      994.90  ...            11.40              -0.70\n",
              "2004-09-02      988.00     1004.85  ...            16.85               5.45\n",
              "2004-09-03      996.00     1000.25  ...            10.50               1.95\n",
              "2004-09-06      998.00     1004.85  ...            11.70              -3.00\n",
              "2004-09-07      997.00     1000.00  ...             5.70              -1.65\n",
              "2004-09-08      998.00     1000.00  ...             8.75              -4.50\n",
              "2004-09-09      993.00      998.00  ...            19.75             -13.00\n",
              "2004-09-10      980.25      990.00  ...            11.00               8.50\n",
              "2004-09-13      991.40     1015.65  ...            24.65              12.65\n",
              "2004-09-14     1016.00     1018.80  ...            15.25              -0.55\n",
              "2004-09-15     1017.00     1019.90  ...            18.90             -11.30\n",
              "2004-09-16     1008.00     1015.00  ...            12.00               0.10\n",
              "2004-09-17     1014.00     1029.50  ...            18.50              10.10\n",
              "2004-09-20     1032.05     1038.00  ...            18.00              -9.20\n",
              "2004-09-21     1025.00     1049.00  ...            26.00              20.60\n",
              "2004-09-22     1050.00     1056.00  ...            18.75               1.95\n",
              "2004-09-23     1044.65     1048.00  ...            21.00             -15.20\n",
              "2004-09-24     1031.00     1040.00  ...            13.95              -2.05\n",
              "2004-09-27     1030.00     1032.25  ...            17.25             -10.00\n",
              "2004-09-28     1024.00     1027.80  ...            15.65              -8.85\n",
              "2004-09-29     1023.80     1032.65  ...            15.55               6.45\n",
              "2004-09-30     1032.35     1040.70  ...            16.70              -5.25\n",
              "2004-10-01     1029.80     1056.45  ...            29.45              18.45\n",
              "2004-10-04     1055.00     1081.00  ...            28.00              21.80\n",
              "2004-10-05     1080.00     1089.10  ...            13.50               0.20\n",
              "...                ...         ...  ...              ...                ...\n",
              "2019-07-30     2125.00     2184.70  ...            63.70              54.00\n",
              "2019-07-31     2175.00     2210.95  ...            62.65              30.40\n",
              "2019-08-01     2206.00     2217.00  ...            50.15             -26.10\n",
              "2019-08-02     2179.90     2210.00  ...            43.60              26.15\n",
              "2019-08-05     2185.00     2250.40  ...            65.40              63.55\n",
              "2019-08-06     2232.00     2251.75  ...            40.20             -16.55\n",
              "2019-08-07     2220.00     2238.50  ...            30.10              -6.00\n",
              "2019-08-08     2222.00     2280.85  ...            60.85              36.85\n",
              "2019-08-09     2270.00     2270.00  ...            28.00             -24.40\n",
              "2019-08-13     2250.20     2250.20  ...            55.20             -50.00\n",
              "2019-08-14     2182.00     2217.80  ...            49.00              22.65\n",
              "2019-08-16     2233.00     2237.00  ...            91.10             -69.50\n",
              "2019-08-19     2167.00     2185.00  ...            26.80              -3.45\n",
              "2019-08-20     2168.50     2205.70  ...            37.70              18.65\n",
              "2019-08-21     2187.00     2202.50  ...            21.55              -1.15\n",
              "2019-08-22     2186.05     2235.00  ...            64.00              28.85\n",
              "2019-08-23     2221.50     2260.00  ...            47.25              26.05\n",
              "2019-08-26     2254.00     2280.00  ...            54.80              21.10\n",
              "2019-08-27     2270.00     2273.00  ...            44.00             -33.00\n",
              "2019-08-28     2242.00     2251.10  ...            35.05              -2.35\n",
              "2019-08-29     2239.00     2248.00  ...            25.95              -5.70\n",
              "2019-08-30     2236.05     2266.10  ...            48.10              22.00\n",
              "2019-09-03     2259.00     2296.00  ...            58.85              -6.75\n",
              "2019-09-04     2269.70     2269.90  ...            35.90             -23.60\n",
              "2019-09-05     2246.65     2253.10  ...            45.10             -30.85\n",
              "2019-09-06     2215.00     2231.70  ...            40.85             -17.35\n",
              "2019-09-09     2203.00     2203.00  ...            23.00             -19.70\n",
              "2019-09-11     2192.00     2200.00  ...            52.95             -38.05\n",
              "2019-09-12     2154.00     2164.95  ...            44.30             -20.15\n",
              "2019-09-13     2138.00     2157.90  ...            41.70               3.35\n",
              "\n",
              "[3735 rows x 12 columns]>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6AsoPkDHoSBm",
        "colab_type": "code",
        "outputId": "518fb32a-451a-4f4c-bcd8-ef2574ff422b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dataset.columns"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u_ezBDqIoYno",
        "colab_type": "code",
        "outputId": "b7fe64c6-ed89-4131-c7bb-6d21ff9c7bac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "#Data Cleaning\n",
        "dataset.isna().sum()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Open         0\n",
              "High         0\n",
              "Low          0\n",
              "Close        0\n",
              "Adj Close    0\n",
              "Volume       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MitxWN5Mowoh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1PzuejzNpzJs",
        "colab_type": "code",
        "outputId": "cedad656-16cd-4c62-ff23-dadb265f9af7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        }
      },
      "source": [
        "###\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(dataset['Close Price'])\n",
        "plt.plot(dataset['High Price'])\n",
        "\n",
        "plt.title('TCS Stock price history')\n",
        "plt.ylabel('Price (INR)')\n",
        "plt.xlabel('Days')\n",
        "plt.legend(['Close Price', 'High Price','No.of Shares'],loc='upper left')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Y87xtHefOLJ1IqZRSSnVly/dsZDuBMYwNf+Ich9I8Et0VRrr/dbnze8r54PVn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\nVIos5t8ewwgkuFdCJIZO7xjaXpd9CGMS2JfWpK6gu6/WegC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K5sUacPM1Axg+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\nKekWEREREUmx/wc6fJZcCUVUMwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QVF6QuYK7QE2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sn_TyFnWrkur",
        "colab_type": "code",
        "outputId": "d44afad3-a496-4443-be96-55d8ede390b8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(dataset['Total Turnover (Rs.)'])\n",
        "plt.title('TCS stock Volume')\n",
        "plt.ylabel('Volume(Rs)')\n",
        "plt.xlabel('Days')\n",
        "plt.legend(['Volume'], loc='upper left')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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DgFJqGoBOAA4xLkgp9YxS6jSl1GldunTxqblUdAyWiYiIKIL8DKhnAjhWRLqLSAckOh1+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\ndmC5AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2V8PW7vC0cuY",
        "colab_type": "code",
        "outputId": "07285736-aff5-41d4-e658-58d2ea4b4c89",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 399
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(dataset['No.of Shares'])\n",
        "plt.ylabel('No.of Shares')\n",
        "plt.xlabel('Days')\n",
        "plt.legend(['No.of Shares'], loc='upper left')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vaeUDmCylrJNS7gCQA3+A7U4M4hxlJXearQVERETkNk4G1CsBdBVCdBFCNAVwC4DJumUm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\niEgE/w+iWHBTjesO6gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3IFEQI-CzuGo",
        "colab_type": "code",
        "outputId": "445dc82f-5b8e-4265-dd06-a116d6e90d76",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "training_cols = ['Open Price','High Price','Low Price','Close Price','Total Turnover (Rs.)','No.of Shares']\n",
        "df_train, df_test = train_test_split(dataset,train_size=0.8, test_size=0.2, shuffle=False)\n",
        "print(\"Train size = {}, Test size = {}\".format(len(df_train), len(df_test)))\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train size = 2988, Test size = 747\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zPooNcFj-CFk",
        "colab_type": "code",
        "outputId": "79982d9a-2218-4fc8-b06a-1e3aae303bf1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        }
      },
      "source": [
        "df_train.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>Open Price</th>\n",
              "      <th>High Price</th>\n",
              "      <th>Low Price</th>\n",
              "      <th>Close Price</th>\n",
              "      <th>WAP</th>\n",
              "      <th>No.of Shares</th>\n",
              "      <th>No. of Trades</th>\n",
              "      <th>Total Turnover (Rs.)</th>\n",
              "      <th>Deliverable Quantity</th>\n",
              "      <th>% Deli. Qty to Traded Qty</th>\n",
              "      <th>Spread High-Low</th>\n",
              "      <th>Spread Close-Open</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2004-08-25</th>\n",
              "      <td>1076.00</td>\n",
              "      <td>1080.00</td>\n",
              "      <td>979.00</td>\n",
              "      <td>987.50</td>\n",
              "      <td>1004.163872</td>\n",
              "      <td>6536309</td>\n",
              "      <td>121534</td>\n",
              "      <td>6563525352</td>\n",
              "      <td>1858962.0</td>\n",
              "      <td>28.44</td>\n",
              "      <td>101.00</td>\n",
              "      <td>-88.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-26</th>\n",
              "      <td>992.70</td>\n",
              "      <td>996.70</td>\n",
              "      <td>975.30</td>\n",
              "      <td>978.55</td>\n",
              "      <td>985.243466</td>\n",
              "      <td>2243016</td>\n",
              "      <td>44222</td>\n",
              "      <td>2209916859</td>\n",
              "      <td>497612.0</td>\n",
              "      <td>22.18</td>\n",
              "      <td>21.40</td>\n",
              "      <td>-14.15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-27</th>\n",
              "      <td>982.45</td>\n",
              "      <td>982.45</td>\n",
              "      <td>958.55</td>\n",
              "      <td>962.35</td>\n",
              "      <td>969.424008</td>\n",
              "      <td>1503317</td>\n",
              "      <td>31798</td>\n",
              "      <td>1457351591</td>\n",
              "      <td>263508.0</td>\n",
              "      <td>17.53</td>\n",
              "      <td>23.90</td>\n",
              "      <td>-20.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-30</th>\n",
              "      <td>967.70</td>\n",
              "      <td>989.75</td>\n",
              "      <td>965.00</td>\n",
              "      <td>986.25</td>\n",
              "      <td>982.607932</td>\n",
              "      <td>1124819</td>\n",
              "      <td>23698</td>\n",
              "      <td>1105256072</td>\n",
              "      <td>220874.0</td>\n",
              "      <td>19.64</td>\n",
              "      <td>24.75</td>\n",
              "      <td>18.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-08-31</th>\n",
              "      <td>989.00</td>\n",
              "      <td>990.00</td>\n",
              "      <td>976.00</td>\n",
              "      <td>987.95</td>\n",
              "      <td>982.258276</td>\n",
              "      <td>1135066</td>\n",
              "      <td>19871</td>\n",
              "      <td>1114927972</td>\n",
              "      <td>282277.0</td>\n",
              "      <td>24.87</td>\n",
              "      <td>14.00</td>\n",
              "      <td>-1.05</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Open Price  High Price  ...  Spread High-Low  Spread Close-Open\n",
              "Date                                ...                                    \n",
              "2004-08-25     1076.00     1080.00  ...           101.00             -88.50\n",
              "2004-08-26      992.70      996.70  ...            21.40             -14.15\n",
              "2004-08-27      982.45      982.45  ...            23.90             -20.10\n",
              "2004-08-30      967.70      989.75  ...            24.75              18.55\n",
              "2004-08-31      989.00      990.00  ...            14.00              -1.05\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bhrvig0RAmOQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m6k_BUE7-EvW",
        "colab_type": "code",
        "outputId": "75ad0e89-2253-4f2c-afab-b7365700d095",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "df_train.info()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "DatetimeIndex: 2988 entries, 2004-08-25 to 2016-09-02\n",
            "Data columns (total 12 columns):\n",
            "Open Price                   2988 non-null float64\n",
            "High Price                   2988 non-null float64\n",
            "Low Price                    2988 non-null float64\n",
            "Close Price                  2988 non-null float64\n",
            "WAP                          2988 non-null float64\n",
            "No.of Shares                 2988 non-null int64\n",
            "No. of Trades                2988 non-null int64\n",
            "Total Turnover (Rs.)         2988 non-null int64\n",
            "Deliverable Quantity         2988 non-null float64\n",
            "% Deli. Qty to Traded Qty    2988 non-null float64\n",
            "Spread High-Low              2988 non-null float64\n",
            "Spread Close-Open            2988 non-null float64\n",
            "dtypes: float64(9), int64(3)\n",
            "memory usage: 303.5 KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f-SwI7MW-Lmo",
        "colab_type": "code",
        "outputId": "c6373a5b-1ff9-4597-a93c-e68e3737aab4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        }
      },
      "source": [
        "df_train.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>Open Price</th>\n",
              "      <th>High Price</th>\n",
              "      <th>Low Price</th>\n",
              "      <th>Close Price</th>\n",
              "      <th>WAP</th>\n",
              "      <th>No.of Shares</th>\n",
              "      <th>No. of Trades</th>\n",
              "      <th>Total Turnover (Rs.)</th>\n",
              "      <th>Deliverable Quantity</th>\n",
              "      <th>% Deli. Qty to Traded Qty</th>\n",
              "      <th>Spread High-Low</th>\n",
              "      <th>Spread Close-Open</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2.988000e+03</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2.988000e+03</td>\n",
              "      <td>2.988000e+03</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2988.000000</td>\n",
              "      <td>2988.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1433.645482</td>\n",
              "      <td>1451.196235</td>\n",
              "      <td>1414.547490</td>\n",
              "      <td>1432.500569</td>\n",
              "      <td>1432.986600</td>\n",
              "      <td>2.232191e+05</td>\n",
              "      <td>7028.254685</td>\n",
              "      <td>2.563981e+08</td>\n",
              "      <td>9.262232e+04</td>\n",
              "      <td>37.145251</td>\n",
              "      <td>36.648745</td>\n",
              "      <td>-1.144913</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>644.033603</td>\n",
              "      <td>647.511058</td>\n",
              "      <td>638.994375</td>\n",
              "      <td>643.004795</td>\n",
              "      <td>642.937310</td>\n",
              "      <td>3.411010e+05</td>\n",
              "      <td>5581.115444</td>\n",
              "      <td>3.674818e+08</td>\n",
              "      <td>2.558332e+05</td>\n",
              "      <td>15.329039</td>\n",
              "      <td>21.791837</td>\n",
              "      <td>25.487172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>360.000000</td>\n",
              "      <td>377.000000</td>\n",
              "      <td>355.250000</td>\n",
              "      <td>366.200000</td>\n",
              "      <td>368.033185</td>\n",
              "      <td>4.799000e+03</td>\n",
              "      <td>126.000000</td>\n",
              "      <td>4.166804e+06</td>\n",
              "      <td>1.476000e+03</td>\n",
              "      <td>4.840000</td>\n",
              "      <td>5.700000</td>\n",
              "      <td>-135.400000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>996.000000</td>\n",
              "      <td>1006.750000</td>\n",
              "      <td>980.212500</td>\n",
              "      <td>992.962500</td>\n",
              "      <td>994.639086</td>\n",
              "      <td>8.000900e+04</td>\n",
              "      <td>3798.750000</td>\n",
              "      <td>1.197575e+08</td>\n",
              "      <td>2.393875e+04</td>\n",
              "      <td>26.300000</td>\n",
              "      <td>21.800000</td>\n",
              "      <td>-14.912500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1235.500000</td>\n",
              "      <td>1250.000000</td>\n",
              "      <td>1220.000000</td>\n",
              "      <td>1234.575000</td>\n",
              "      <td>1234.110186</td>\n",
              "      <td>1.500935e+05</td>\n",
              "      <td>5716.500000</td>\n",
              "      <td>1.813621e+08</td>\n",
              "      <td>5.025650e+04</td>\n",
              "      <td>34.390000</td>\n",
              "      <td>31.150000</td>\n",
              "      <td>-1.150000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1971.250000</td>\n",
              "      <td>2000.525000</td>\n",
              "      <td>1940.250000</td>\n",
              "      <td>1967.662500</td>\n",
              "      <td>1965.871732</td>\n",
              "      <td>2.628092e+05</td>\n",
              "      <td>8463.000000</td>\n",
              "      <td>2.928836e+08</td>\n",
              "      <td>1.015720e+05</td>\n",
              "      <td>44.922500</td>\n",
              "      <td>44.850000</td>\n",
              "      <td>11.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2775.000000</td>\n",
              "      <td>2834.000000</td>\n",
              "      <td>2739.800000</td>\n",
              "      <td>2775.700000</td>\n",
              "      <td>2784.124508</td>\n",
              "      <td>8.893387e+06</td>\n",
              "      <td>121534.000000</td>\n",
              "      <td>9.434029e+09</td>\n",
              "      <td>8.684510e+06</td>\n",
              "      <td>98.420000</td>\n",
              "      <td>189.000000</td>\n",
              "      <td>118.250000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Open Price   High Price  ...  Spread High-Low  Spread Close-Open\n",
              "count  2988.000000  2988.000000  ...      2988.000000        2988.000000\n",
              "mean   1433.645482  1451.196235  ...        36.648745          -1.144913\n",
              "std     644.033603   647.511058  ...        21.791837          25.487172\n",
              "min     360.000000   377.000000  ...         5.700000        -135.400000\n",
              "25%     996.000000  1006.750000  ...        21.800000         -14.912500\n",
              "50%    1235.500000  1250.000000  ...        31.150000          -1.150000\n",
              "75%    1971.250000  2000.525000  ...        44.850000          11.700000\n",
              "max    2775.000000  2834.000000  ...       189.000000         118.250000\n",
              "\n",
              "[8 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QWqumDNcAThI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xjfV9i-c3IFJ",
        "colab_type": "code",
        "outputId": "5ea05ed1-beec-47d2-d580-18eb2a1137ca",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(df_train['Close Price'])\n",
        "plt.title('Training Set - Closing Prices')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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bqOG+6aVV2KIHzoC20qKVUa6SrNVfd9B9nzkRERF1SeMGFMfcNkoNMsHtTKx5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\nmYiIiIgoRP8Pl3SjK+WA7v0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JES7tycr3R17",
        "colab_type": "code",
        "outputId": "d84733cf-40df-4e71-eeb2-f981972ba6e7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(df_test['Close Price'])\n",
        "plt.title('Test Set Closing Prices')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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5CAL/SKjlWUSyjcKziEgGNXVGqChKr90i1XR/irqq4lwuWziZgMGJU9INz37l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\nWjzInkIIMXE1dnQHyvKAQGmdlG0kroN17fxrR9UJaxwEl21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IXo2x3W3UPLe6elh/qIHP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\nIYQQQggRof8P8Dv6f6sSXE0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n4UR-lxh4Dx0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b6pVVk1p1k0b",
        "colab_type": "code",
        "outputId": "8e23bb71-311e-418e-bd4d-ebadff94ce00",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "df_test.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(747, 12)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_IjyubID2Uc3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vFOjnoxduhbw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Fature Scaling Normalization\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "\n",
        "\n",
        "sc = MinMaxScaler(feature_range=(0,1))\n",
        "sc_y = MinMaxScaler(feature_range=(0,1))\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tggI--iop1z5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x = df_train.loc[:,training_cols].values\n",
        "y_train = df_train.loc[:,['Close Price']].values\n",
        "y_train = sc_y.fit_transform(y_train)\n",
        "x_train = sc.fit_transform(x)\n",
        "x_test = sc.transform(df_test.loc[:,training_cols])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IASeop1V5UxG",
        "colab_type": "code",
        "outputId": "e481f585-0bd0-41a8-e12c-312ddbf98327",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "x.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2988, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XsKg1b9S5VxW",
        "colab_type": "code",
        "outputId": "53a37f9d-fff0-4b3a-e9c6-91e6ed30b503",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 395
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(x_train[:,3])\n",
        "plt.plot(x_test[:,3])\n",
        "plt.legend(['Train Set','Test Set'])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fc9f111fe80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ry+4XPtbviTLxjqUURERElLwYGFN4Vwq1j/HIS8PH+lyceEdEREQdEgNjAqSAvFUzwWpg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\nEAKQwFgIIYQQQghAAmMhhBBCCCEA+H99uSDs5+r/bAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pTpmfZLt5eqU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9suqM01_4_mW",
        "colab_type": "code",
        "outputId": "a8dcd9a9-4aaf-4f5c-d13b-2f16c7eb23a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "x_train.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2988, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y33-DF8g5BYW",
        "colab_type": "code",
        "outputId": "96d4c1ee-04bb-4658-b1dd-e265f2340bab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "x_test.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(747, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UF4Yzvuu3Gsb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from tqdm import tqdm_notebook\n",
        "TIME_STEPS = 60\n",
        "def build_timeseries(mat, y_col_index):\n",
        "    # y_col_index is the index of column that would act as output column\n",
        "    # total number of time-series samples would be len(mat) - TIME_STEPS\n",
        "    dim_0 = mat.shape[0] - TIME_STEPS\n",
        "    dim_1 = mat.shape[1]\n",
        "    x = np.zeros((dim_0, TIME_STEPS, dim_1))\n",
        "    y = np.zeros((dim_0,))\n",
        "    \n",
        "    for i in tqdm_notebook(range(dim_0)):\n",
        "        x[i] = mat[i:TIME_STEPS+i]\n",
        "        y[i] = mat[TIME_STEPS+i, y_col_index]\n",
        "    print(\"length of time-series i/o\",x.shape,y.shape)\n",
        "    return x, y"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cwgWCDu13TZv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def trim_dataset(mat, batch_size):\n",
        "    \"\"\"\n",
        "    trims dataset to a size that's divisible by BATCH_SIZE\n",
        "    \"\"\"\n",
        "    no_of_rows_drop = mat.shape[0]%batch_size\n",
        "    if(no_of_rows_drop > 0):\n",
        "        return mat[:-no_of_rows_drop]\n",
        "    else:\n",
        "        return mat"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z9kpRczh3c9S",
        "colab_type": "code",
        "outputId": "06a6732b-2643-4c29-9d3d-ac5135d23f32",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/colabwidgets/controls.css": {
              "data": "/* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /* We import all of these together in a single css file because the Webpack
loader sees only one file at a time. This allows postcss to see the variable
definitions when they are used. */

 /*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

 /*
This file is copied from the JupyterLab project to define default styling for
when the widget styling is compiled down to eliminate CSS variables. We make one
change - we comment out the font import below.
*/

 /**
 * The material design colors are adapted from google-material-color v1.2.6
 * https://github.com/danlevan/google-material-color
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/dist/palette.var.css
 *
 * The license for the material design color CSS variables is as follows (see
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/LICENSE)
 *
 * The MIT License (MIT)
 *
 * Copyright (c) 2014 Dan Le Van
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

 /*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.

Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:

* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations

Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/

 /*
 * Optional monospace font for input/output prompt.
 */

 /* Commented out in ipywidgets since we don't need it. */

 /* @import url('https://fonts.googleapis.com/css?family=Roboto+Mono'); */

 /*
 * Added for compabitility with output area
 */

 :root {

  /* Borders

  The following variables, specify the visual styling of borders in JupyterLab.
   */

  /* UI Fonts

  The UI font CSS variables are used for the typography all of the JupyterLab
  user interface elements that are not directly user generated content.
  */ /* Base font size */ /* Ensures px perfect FontAwesome icons */

  /* Use these font colors against the corresponding main layout colors.
     In a light theme, these go from dark to light.
  */

  /* Use these against the brand/accent/warn/error colors.
     These will typically go from light to darker, in both a dark and light theme
   */

  /* Content Fonts

  Content font variables are used for typography of user generated content.
  */ /* Base font size */


  /* Layout

  The following are the main layout colors use in JupyterLab. In a light
  theme these would go from light to dark.
  */

  /* Brand/accent */

  /* State colors (warn, error, success, info) */

  /* Cell specific styles */
  /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
  /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */

  /* Notebook specific styles */

  /* Console specific styles */

  /* Toolbar specific styles */
}

 /* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /*
 * We assume that the CSS variables in
 * https://github.com/jupyterlab/jupyterlab/blob/master/src/default-theme/variables.css
 * have been defined.
 */

 /* This file has code derived from PhosphorJS CSS files, as noted below. The license for this PhosphorJS code is:

Copyright (c) 2014-2017, PhosphorJS Contributors
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

*/

 /*
 * The following section is derived from https://github.com/phosphorjs/phosphor/blob/23b9d075ebc5b73ab148b6ebfc20af97f85714c4/packages/widgets/style/tabbar.css 
 * We've scoped the rules so that they are consistent with exactly our code.
 */

 .jupyter-widgets.widget-tab > .p-TabBar {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
  margin: 0;
  padding: 0;
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  list-style-type: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] > .p-TabBar-content {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] > .p-TabBar-content {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
  -webkit-box-sizing: border-box;
          box-sizing: border-box;
  overflow: hidden;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
  -webkit-box-flex: 0;
      -ms-flex: 0 0 auto;
          flex: 0 0 auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel {
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  overflow: hidden;
  white-space: nowrap;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden {
  display: none !important;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab {
  position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab {
  left: 0;
  -webkit-transition: left 150ms ease;
  transition: left 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab {
  top: 0;
  -webkit-transition: top 150ms ease;
  transition: top 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging {
  -webkit-transition: none;
  transition: none;
}

 /* End tabbar.css */

 :root { /* margin between inline elements */

    /* From Material Design Lite */
}

 .jupyter-widgets {
    margin: 2px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    color: black;
    overflow: visible;
}

 .jupyter-widgets.jupyter-widgets-disconnected::before {
    line-height: 28px;
    height: 28px;
}

 .jp-Output-result > .jupyter-widgets {
    margin-left: 0;
    margin-right: 0;
}

 /* vbox and hbox */

 .widget-inline-hbox {
    /* Horizontal widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
    -webkit-box-align: baseline;
        -ms-flex-align: baseline;
            align-items: baseline;
}

 .widget-inline-vbox {
    /* Vertical Widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widget-box {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    margin: 0;
    overflow: auto;
}

 .widget-gridbox {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: grid;
    margin: 0;
    overflow: auto;
}

 .widget-hbox {
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
}

 .widget-vbox {
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 /* General Button Styling */

 .jupyter-button {
    padding-left: 10px;
    padding-right: 10px;
    padding-top: 0px;
    padding-bottom: 0px;
    display: inline-block;
    white-space: nowrap;
    overflow: hidden;
    text-overflow: ellipsis;
    text-align: center;
    font-size: 13px;
    cursor: pointer;

    height: 28px;
    border: 0px solid;
    line-height: 28px;
    -webkit-box-shadow: none;
            box-shadow: none;

    color: rgba(0, 0, 0, .8);
    background-color: #EEEEEE;
    border-color: #E0E0E0;
    border: none;
}

 .jupyter-button i.fa {
    margin-right: 4px;
    pointer-events: none;
}

 .jupyter-button:empty:before {
    content: "\200b"; /* zero-width space */
}

 .jupyter-widgets.jupyter-button:disabled {
    opacity: 0.6;
}

 .jupyter-button i.fa.center {
    margin-right: 0;
}

 .jupyter-button:hover:enabled, .jupyter-button:focus:enabled {
    /* MD Lite 2dp shadow */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
            box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .jupyter-button:active, .jupyter-button.mod-active {
    /* MD Lite 4dp shadow */
    -webkit-box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
            box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
    color: rgba(0, 0, 0, .8);
    background-color: #BDBDBD;
}

 .jupyter-button:focus:enabled {
    outline: 1px solid #64B5F6;
}

 /* Button "Primary" Styling */

 .jupyter-button.mod-primary {
    color: rgba(255, 255, 255, 1.0);
    background-color: #2196F3;
}

 .jupyter-button.mod-primary.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 .jupyter-button.mod-primary:active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 /* Button "Success" Styling */

 .jupyter-button.mod-success {
    color: rgba(255, 255, 255, 1.0);
    background-color: #4CAF50;
}

 .jupyter-button.mod-success.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 .jupyter-button.mod-success:active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 /* Button "Info" Styling */

 .jupyter-button.mod-info {
    color: rgba(255, 255, 255, 1.0);
    background-color: #00BCD4;
}

 .jupyter-button.mod-info.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 .jupyter-button.mod-info:active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 /* Button "Warning" Styling */

 .jupyter-button.mod-warning {
    color: rgba(255, 255, 255, 1.0);
    background-color: #FF9800;
}

 .jupyter-button.mod-warning.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 .jupyter-button.mod-warning:active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 /* Button "Danger" Styling */

 .jupyter-button.mod-danger {
    color: rgba(255, 255, 255, 1.0);
    background-color: #F44336;
}

 .jupyter-button.mod-danger.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 .jupyter-button.mod-danger:active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 /* Widget Button*/

 .widget-button, .widget-toggle-button {
    width: 148px;
}

 /* Widget Label Styling */

 /* Override Bootstrap label css */

 .jupyter-widgets label {
    margin-bottom: 0;
    margin-bottom: initial;
}

 .widget-label-basic {
    /* Basic Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-label {
    /* Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-inline-hbox .widget-label {
    /* Horizontal Widget Label */
    color: black;
    text-align: right;
    margin-right: 8px;
    width: 80px;
    -ms-flex-negative: 0;
        flex-shrink: 0;
}

 .widget-inline-vbox .widget-label {
    /* Vertical Widget Label */
    color: black;
    text-align: center;
    line-height: 28px;
}

 /* Widget Readout Styling */

 .widget-readout {
    color: black;
    font-size: 13px;
    height: 28px;
    line-height: 28px;
    overflow: hidden;
    white-space: nowrap;
    text-align: center;
}

 .widget-readout.overflow {
    /* Overflowing Readout */

    /* From Material Design Lite
        shadow-key-umbra-opacity: 0.2;
        shadow-key-penumbra-opacity: 0.14;
        shadow-ambient-shadow-opacity: 0.12;
     */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                        0 3px 1px -2px rgba(0, 0, 0, .14),
                        0 1px 5px 0 rgba(0, 0, 0, .12);

    box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                0 3px 1px -2px rgba(0, 0, 0, .14),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .widget-inline-hbox .widget-readout {
    /* Horizontal Readout */
    text-align: center;
    max-width: 148px;
    min-width: 72px;
    margin-left: 4px;
}

 .widget-inline-vbox .widget-readout {
    /* Vertical Readout */
    margin-top: 4px;
    /* as wide as the widget */
    width: inherit;
}

 /* Widget Checkbox Styling */

 .widget-checkbox {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-checkbox input[type="checkbox"] {
    margin: 0px 8px 0px 0px;
    line-height: 28px;
    font-size: large;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -ms-flex-item-align: center;
        align-self: center;
}

 /* Widget Valid Styling */

 .widget-valid {
    height: 28px;
    line-height: 28px;
    width: 148px;
    font-size: 13px;
}

 .widget-valid i:before {
    line-height: 28px;
    margin-right: 4px;
    margin-left: 4px;

    /* from the fa class in FontAwesome: https://github.com/FortAwesome/Font-Awesome/blob/49100c7c3a7b58d50baa71efef11af41a66b03d3/css/font-awesome.css#L14 */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .widget-valid.mod-valid i:before {
    content: "\f00c";
    color: green;
}

 .widget-valid.mod-invalid i:before {
    content: "\f00d";
    color: red;
}

 .widget-valid.mod-valid .widget-valid-readout {
    display: none;
}

 /* Widget Text and TextArea Stying */

 .widget-textarea, .widget-text {
    width: 300px;
}

 .widget-text input[type="text"], .widget-text input[type="number"]{
    height: 28px;
    line-height: 28px;
}

 .widget-text input[type="text"]:disabled, .widget-text input[type="number"]:disabled, .widget-textarea textarea:disabled {
    opacity: 0.6;
}

 .widget-text input[type="text"], .widget-text input[type="number"], .widget-textarea textarea {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    outline: none !important;
}

 .widget-textarea textarea {
    height: inherit;
    width: inherit;
}

 .widget-text input:focus, .widget-textarea textarea:focus {
    border-color: #64B5F6;
}

 /* Widget Slider */

 .widget-slider .ui-slider {
    /* Slider Track */
    border: 1px solid #BDBDBD;
    background: #BDBDBD;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    position: relative;
    border-radius: 0px;
}

 .widget-slider .ui-slider .ui-slider-handle {
    /* Slider Handle */
    outline: none !important; /* focused slider handles are colored - see below */
    position: absolute;
    background-color: white;
    border: 1px solid #9E9E9E;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    z-index: 1;
    background-image: none; /* Override jquery-ui */
}

 /* Override jquery-ui */

 .widget-slider .ui-slider .ui-slider-handle:hover, .widget-slider .ui-slider .ui-slider-handle:focus {
    background-color: #2196F3;
    border: 1px solid #2196F3;
}

 .widget-slider .ui-slider .ui-slider-handle:active {
    background-color: #2196F3;
    border-color: #2196F3;
    z-index: 2;
    -webkit-transform: scale(1.2);
            transform: scale(1.2);
}

 .widget-slider  .ui-slider .ui-slider-range {
    /* Interval between the two specified value of a double slider */
    position: absolute;
    background: #2196F3;
    z-index: 0;
}

 /* Shapes of Slider Handles */

 .widget-hslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-top: -7px;
    margin-left: -7px;
    border-radius: 50%;
    top: 0;
}

 .widget-vslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-bottom: -7px;
    margin-left: -7px;
    border-radius: 50%;
    left: 0;
}

 .widget-hslider .ui-slider .ui-slider-range {
    height: 8px;
    margin-top: -3px;
}

 .widget-vslider .ui-slider .ui-slider-range {
    width: 8px;
    margin-left: -3px;
}

 /* Horizontal Slider */

 .widget-hslider {
    width: 300px;
    height: 28px;
    line-height: 28px;

    /* Override the align-items baseline. This way, the description and readout
    still seem to align their baseline properly, and we don't have to have
    align-self: stretch in the .slider-container. */
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widgets-slider .slider-container {
    overflow: visible;
}

 .widget-hslider .slider-container {
    height: 28px;
    margin-left: 6px;
    margin-right: 6px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
}

 .widget-hslider .ui-slider {
    /* Inner, invisible slide div */
    height: 4px;
    margin-top: 12px;
    width: 100%;
}

 /* Vertical Slider */

 .widget-vbox .widget-label {
    height: 28px;
    line-height: 28px;
}

 .widget-vslider {
    /* Vertical Slider */
    height: 200px;
    width: 72px;
}

 .widget-vslider .slider-container {
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 6px;
    margin-top: 6px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .widget-vslider .ui-slider-vertical {
    /* Inner, invisible slide div */
    width: 4px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-left: auto;
    margin-right: auto;
}

 /* Widget Progress Styling */

 .progress-bar {
    -webkit-transition: none;
    transition: none;
}

 .progress-bar {
    height: 28px;
}

 .progress-bar {
    background-color: #2196F3;
}

 .progress-bar-success {
    background-color: #4CAF50;
}

 .progress-bar-info {
    background-color: #00BCD4;
}

 .progress-bar-warning {
    background-color: #FF9800;
}

 .progress-bar-danger {
    background-color: #F44336;
}

 .progress {
    background-color: #EEEEEE;
    border: none;
    -webkit-box-shadow: none;
            box-shadow: none;
}

 /* Horisontal Progress */

 .widget-hprogress {
    /* Progress Bar */
    height: 28px;
    line-height: 28px;
    width: 300px;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;

}

 .widget-hprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-top: 4px;
    margin-bottom: 4px;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    /* Override bootstrap style */
    height: auto;
    height: initial;
}

 /* Vertical Progress */

 .widget-vprogress {
    height: 200px;
    width: 72px;
}

 .widget-vprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    width: 20px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 0;
}

 /* Select Widget Styling */

 .widget-dropdown {
    height: 28px;
    width: 300px;
    line-height: 28px;
}

 .widget-dropdown > select {
    padding-right: 20px;
    border: 1px solid #9E9E9E;
    border-radius: 0;
    height: inherit;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    outline: none !important;
    -webkit-box-shadow: none;
            box-shadow: none;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    vertical-align: top;
    padding-left: 8px;
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
    background-repeat: no-repeat;
	background-size: 20px;
	background-position: right center;
    background-image: url("data:image/svg+xml;base64,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");
}

 .widget-dropdown > select:focus {
    border-color: #64B5F6;
}

 .widget-dropdown > select:disabled {
    opacity: 0.6;
}

 /* To disable the dotted border in Firefox around select controls.
   See http://stackoverflow.com/a/18853002 */

 .widget-dropdown > select:-moz-focusring {
    color: transparent;
    text-shadow: 0 0 0 #000;
}

 /* Select and SelectMultiple */

 .widget-select {
    width: 300px;
    line-height: 28px;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    -webkit-box-align: start;
        -ms-flex-align: start;
            align-items: flex-start;
}

 .widget-select > select {
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    outline: none !important;
    overflow: auto;
    height: inherit;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    padding-top: 5px;
}

 .widget-select > select:focus {
    border-color: #64B5F6;
}

 .wiget-select > select > option {
    padding-left: 4px;
    line-height: 28px;
    /* line-height doesn't work on some browsers for select options */
    padding-top: calc(28px - var(--jp-widgets-font-size) / 2);
    padding-bottom: calc(28px - var(--jp-widgets-font-size) / 2);
}

 /* Toggle Buttons Styling */

 .widget-toggle-buttons {
    line-height: 28px;
}

 .widget-toggle-buttons .widget-toggle-button {
    margin-left: 2px;
    margin-right: 2px;
}

 .widget-toggle-buttons .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Radio Buttons Styling */

 .widget-radio {
    width: 300px;
    line-height: 28px;
}

 .widget-radio-box {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-bottom: 8px;
}

 .widget-radio-box label {
    height: 20px;
    line-height: 20px;
    font-size: 13px;
}

 .widget-radio-box input {
    height: 20px;
    line-height: 20px;
    margin: 0 8px 0 1px;
    float: left;
}

 /* Color Picker Styling */

 .widget-colorpicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-colorpicker > .widget-colorpicker-input {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 72px;
}

 .widget-colorpicker input[type="color"] {
    width: 28px;
    height: 28px;
    padding: 0 2px; /* make the color square actually square on Chrome on OS X */
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    border-left: none;
    -webkit-box-flex: 0;
        -ms-flex-positive: 0;
            flex-grow: 0;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    outline: none !important;
}

 .widget-colorpicker.concise input[type="color"] {
    border-left: 1px solid #9E9E9E;
}

 .widget-colorpicker input[type="color"]:focus, .widget-colorpicker input[type="text"]:focus {
    border-color: #64B5F6;
}

 .widget-colorpicker input[type="text"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    outline: none !important;
    height: 28px;
    line-height: 28px;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    font-size: 13px;
    padding: 4px 8px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-colorpicker input[type="text"]:disabled {
    opacity: 0.6;
}

 /* Date Picker Styling */

 .widget-datepicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-datepicker input[type="date"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    outline: none !important;
    height: 28px;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-datepicker input[type="date"]:focus {
    border-color: #64B5F6;
}

 .widget-datepicker input[type="date"]:invalid {
    border-color: #FF9800;
}

 .widget-datepicker input[type="date"]:disabled {
    opacity: 0.6;
}

 /* Play Widget */

 .widget-play {
    width: 148px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .widget-play .jupyter-button {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    height: auto;
}

 .widget-play .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Tab Widget */

 .jupyter-widgets.widget-tab {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    /* Necessary so that a tab can be shifted down to overlay the border of the box below. */
    overflow-x: visible;
    overflow-y: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
    /* Make sure that the tab grows from bottom up */
    -webkit-box-align: end;
        -ms-flex-align: end;
            align-items: flex-end;
    min-width: 0;
    min-height: 0;
}

 .jupyter-widgets.widget-tab > .widget-tab-contents {
    width: 100%;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    margin: 0;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    padding: 15px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    overflow: auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    font: 13px Helvetica, Arial, sans-serif;
    min-height: 25px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
    -webkit-box-flex: 0;
        -ms-flex: 0 1 144px;
            flex: 0 1 144px;
    min-width: 35px;
    min-height: 25px;
    line-height: 24px;
    margin-left: -1px;
    padding: 0px 10px;
    background: #EEEEEE;
    color: rgba(0, 0, 0, .5);
    border: 1px solid #9E9E9E;
    border-bottom: none;
    position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current {
    color: rgba(0, 0, 0, 1.0);
    /* We want the background to match the tab content background */
    background: white;
    min-height: 26px;
    -webkit-transform: translateY(1px);
            transform: translateY(1px);
    overflow: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before {
    position: absolute;
    top: -1px;
    left: -1px;
    content: '';
    height: 2px;
    width: calc(100% + 2px);
    background: #2196F3;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:first-child {
    margin-left: 0;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current) {
    background: white;
    color: rgba(0, 0, 0, .8);
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon {
    margin-left: 4px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before {
    font-family: FontAwesome;
    content: '\f00d'; /* close */
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
    line-height: 24px;
}

 /* Accordion Widget */

 .p-Collapse {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Collapse-header {
    padding: 4px;
    cursor: pointer;
    color: rgba(0, 0, 0, .5);
    background-color: #EEEEEE;
    border: 1px solid #9E9E9E;
    padding: 10px 15px;
    font-weight: bold;
}

 .p-Collapse-header:hover {
    background-color: white;
    color: rgba(0, 0, 0, .8);
}

 .p-Collapse-open > .p-Collapse-header {
    background-color: white;
    color: rgba(0, 0, 0, 1.0);
    cursor: default;
    border-bottom: none;
}

 .p-Collapse .p-Collapse-header::before {
    content: '\f0da\00A0';  /* caret-right, non-breaking space */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .p-Collapse-open > .p-Collapse-header::before {
    content: '\f0d7\00A0'; /* caret-down, non-breaking space */
}

 .p-Collapse-contents {
    padding: 15px;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    border-left: 1px solid #9E9E9E;
    border-right: 1px solid #9E9E9E;
    border-bottom: 1px solid #9E9E9E;
    overflow: auto;
}

 .p-Accordion {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Accordion .p-Collapse {
    margin-bottom: 0;
}

 .p-Accordion .p-Collapse + .p-Collapse {
    margin-top: 4px;
}

 /* HTML widget */

 .widget-html, .widget-htmlmath {
    font-size: 13px;
}

 .widget-html > .widget-html-content, .widget-htmlmath > .widget-html-content {
    /* Fill out the area in the HTML widget */
    -ms-flex-item-align: stretch;
        align-self: stretch;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    /* Makes sure the baseline is still aligned with other elements */
    line-height: 28px;
    /* Make it possible to have absolutely-positioned elements in the html */
    position: relative;
}

/*# 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 */",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "text/css"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 149
        }
      },
      "source": [
        "import numpy as np\n",
        "BATCH_SIZE = 32\n",
        "x_t, y_t = build_timeseries(x_train, 3)\n",
        "x_t = trim_dataset(x_t, BATCH_SIZE)\n",
        "y_t = trim_dataset(y_t, BATCH_SIZE)\n",
        "x_temp, y_temp = build_timeseries(x_test, 3)\n",
        "x_temp = trim_dataset(x_temp, BATCH_SIZE)\n",
        "y_temp = trim_dataset(y_temp,BATCH_SIZE)\n",
        "x_val, x_test_t = np.split(trim_dataset(x_temp, BATCH_SIZE),2)\n",
        "y_val, y_test_t = np.split(trim_dataset(y_temp, BATCH_SIZE),2)\n",
        "x_test_t = trim_dataset(x_test_t, BATCH_SIZE)\n",
        "y_test_t = trim_dataset(y_test_t, BATCH_SIZE)\n",
        "\n",
        "#x_test_t, y_test_t = build_timeseries(x_test, 3)\n",
        "#x_test_t = trim_dataset(x_test_t, BATCH_SIZE)\n",
        "#y_test_t = trim_dataset(y_test_t,BATCH_SIZE)\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "55c2b4931feb4e71b48ed7af370f3f00",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=2928), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "length of time-series i/o (2928, 60, 6) (2928,)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e263daf95d6f48fd99ff318a98afda1a",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=687), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "length of time-series i/o (687, 60, 6) (687,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v0JyB0QzjB6F",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Creating model\n",
        "from keras.models import Sequential\n",
        "from keras.layers import LSTM, Dropout, Dense\n",
        "from keras.optimizers import RMSprop\n",
        "from keras.callbacks import CSVLogger"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "23RHN5zPj9Ii",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "BATCH_SIZE=32\n",
        "TIME_STEPS=60\n",
        "model = Sequential()\n",
        "model.add(LSTM(100, batch_input_shape=(BATCH_SIZE, TIME_STEPS, x_t.shape[2]), dropout=0.0, recurrent_dropout=0.0, stateful=True,     kernel_initializer='random_uniform'))\n",
        "model.add(Dropout(0.5))\n",
        "model.add(Dense(20,activation='relu'))\n",
        "model.add(Dense(1,activation='sigmoid'))\n",
        "optimizer = RMSprop(lr=0.001)\n",
        "model.compile(loss='mean_squared_error', optimizer=optimizer)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vyTcYvONkevg",
        "colab_type": "code",
        "outputId": "dea35413-1823-4e30-e9f1-454e6f1a974a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import os\n",
        "OUTPUT_PATH='.'\n",
        "csv_logger = CSVLogger(os.path.join(OUTPUT_PATH, 'stock-price-prediction' + '.log'), append=True)\n",
        "\n",
        "history = model.fit(x_t, y_t, epochs=50, verbose=1, batch_size=BATCH_SIZE,\n",
        "                    shuffle=False, validation_data=(trim_dataset(x_val, BATCH_SIZE),\n",
        "                    trim_dataset(y_val, BATCH_SIZE)), callbacks=[csv_logger])\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train on 2912 samples, validate on 320 samples\n",
            "Epoch 1/50\n",
            "2912/2912 [==============================] - 11s 4ms/step - loss: 0.0076 - val_loss: 0.0084\n",
            "Epoch 2/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0106 - val_loss: 0.0083\n",
            "Epoch 3/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0087 - val_loss: 0.0081\n",
            "Epoch 4/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0072 - val_loss: 0.0080\n",
            "Epoch 5/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0065 - val_loss: 0.0077\n",
            "Epoch 6/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0052 - val_loss: 0.0077\n",
            "Epoch 7/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0046 - val_loss: 0.0073\n",
            "Epoch 8/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0038 - val_loss: 0.0072\n",
            "Epoch 9/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0033 - val_loss: 0.0072\n",
            "Epoch 10/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0032 - val_loss: 0.0070\n",
            "Epoch 11/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0030 - val_loss: 0.0071\n",
            "Epoch 12/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0028 - val_loss: 0.0067\n",
            "Epoch 13/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0026 - val_loss: 0.0065\n",
            "Epoch 14/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0024 - val_loss: 0.0065\n",
            "Epoch 15/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0024 - val_loss: 0.0063\n",
            "Epoch 16/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0023 - val_loss: 0.0060\n",
            "Epoch 17/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0020 - val_loss: 0.0058\n",
            "Epoch 18/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0018 - val_loss: 0.0060\n",
            "Epoch 19/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0019 - val_loss: 0.0057\n",
            "Epoch 20/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0019 - val_loss: 0.0058\n",
            "Epoch 21/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0019 - val_loss: 0.0055\n",
            "Epoch 22/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0017 - val_loss: 0.0056\n",
            "Epoch 23/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0015 - val_loss: 0.0053\n",
            "Epoch 24/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0015 - val_loss: 0.0055\n",
            "Epoch 25/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0016 - val_loss: 0.0054\n",
            "Epoch 26/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0015 - val_loss: 0.0053\n",
            "Epoch 27/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0015 - val_loss: 0.0051\n",
            "Epoch 28/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0014 - val_loss: 0.0051\n",
            "Epoch 29/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0015 - val_loss: 0.0050\n",
            "Epoch 30/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0015 - val_loss: 0.0050\n",
            "Epoch 31/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0012 - val_loss: 0.0051\n",
            "Epoch 32/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0013 - val_loss: 0.0049\n",
            "Epoch 33/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0013 - val_loss: 0.0052\n",
            "Epoch 34/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0013 - val_loss: 0.0048\n",
            "Epoch 35/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0013 - val_loss: 0.0048\n",
            "Epoch 36/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0012 - val_loss: 0.0046\n",
            "Epoch 37/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0012 - val_loss: 0.0048\n",
            "Epoch 38/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0011 - val_loss: 0.0049\n",
            "Epoch 39/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0012 - val_loss: 0.0048\n",
            "Epoch 40/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0011 - val_loss: 0.0047\n",
            "Epoch 41/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0011 - val_loss: 0.0045\n",
            "Epoch 42/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0011 - val_loss: 0.0048\n",
            "Epoch 43/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0010 - val_loss: 0.0048\n",
            "Epoch 44/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0010 - val_loss: 0.0045\n",
            "Epoch 45/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0010 - val_loss: 0.0044\n",
            "Epoch 46/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 0.0010 - val_loss: 0.0047\n",
            "Epoch 47/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 9.3457e-04 - val_loss: 0.0048\n",
            "Epoch 48/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 9.7575e-04 - val_loss: 0.0043\n",
            "Epoch 49/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 9.6132e-04 - val_loss: 0.0042\n",
            "Epoch 50/50\n",
            "2912/2912 [==============================] - 10s 3ms/step - loss: 9.2001e-04 - val_loss: 0.0046\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wBQ70j5W0yoA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model.save('TCS-Stock-price-model.h5')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aVdvrOKBtio9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Initialising the RNN\n",
        "regressor = Sequential()\n",
        "# Adding the first LSTM layer and some Dropout regularisation\n",
        "#regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], 1)))\n",
        "regressor.add(LSTM(units = 50, return_sequences = True, batch_input_shape=(BATCH_SIZE, TIME_STEPS, x_t.shape[2])))\n",
        "regressor.add(Dropout(0.2))\n",
        "#batch_input_shape=(BATCH_SIZE, TIME_STEPS, x_t.shape[2])\n",
        "# Adding a second LSTM layer and some Dropout regularisation\n",
        "regressor.add(LSTM(units = 50, return_sequences = True))\n",
        "regressor.add(Dropout(0.2))\n",
        "\n",
        "# Adding a third LSTM layer and some Dropout regularisation\n",
        "regressor.add(LSTM(units = 50, return_sequences = True))\n",
        "regressor.add(Dropout(0.2))\n",
        "\n",
        "# Adding a fourth LSTM layer and some Dropout regularisation\n",
        "regressor.add(LSTM(units = 50))\n",
        "regressor.add(Dropout(0.2))\n",
        "\n",
        "# Adding the output layer\n",
        "regressor.add(Dense(units = 1))\n",
        "# Compiling the RNN\n",
        "regressor.compile(optimizer = 'adam', loss = 'mean_squared_error')\n",
        "\n",
        "# Fitting the RNN to the Training set\n",
        "#regressor.fit(x_t, y_t, epochs = 100, batch_size = 32)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ujoOEnG_F5rp",
        "colab_type": "code",
        "outputId": "700b0044-37c5-4e97-88b7-b4bfd51d25bc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "model.load_weights('TCS-Stock-price-model.h5')\n",
        "#model.load_weights()\n",
        "predicted_stock_price = model.predict(x_test_t)\n",
        "!ls -ltr"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 810\n",
            "-rw------- 1 root root    151 Sep 14 18:32 TCS-stock-prices-orig.gsheet\n",
            "-rw------- 1 root root 341559 Sep 14 18:32 TCS-stock-prices.csv\n",
            "-rw------- 1 root root   9418 Sep 15 07:04 stock-price-prediction.log\n",
            "-rw------- 1 root root  95428 Sep 15 07:27 GOOG.csv\n",
            "-rw------- 1 root root 381056 Sep 15 07:31 TCS-Stock-price-model.h5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "acII75Qs1oOl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RyIopYLMIm2D",
        "colab_type": "code",
        "outputId": "4614aaf7-a16f-48ae-c7d5-6ea27217f216",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "predicted_stock_price.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(320, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "--udgib4JdBc",
        "colab_type": "code",
        "outputId": "ecff0fb9-0a02-48e7-a202-5fdb475fe925",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "y_test_t.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(320, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mdaLv00JxkfI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y_test_t = y_test_t.reshape(y_test_t.shape[0],1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OJsFSymxIDIP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#predicted_stock_price.shape\n",
        "predicted_stock_price = sc_y.inverse_transform(predicted_stock_price)\n",
        "y_test_t = sc_y.inverse_transform(y_test_t)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MkdIou6PJFVa",
        "colab_type": "code",
        "outputId": "071d64c2-d917-4bf1-f2b9-34686b2cefd7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.plot(y_test_t)\n",
        "plt.plot(predicted_stock_price)\n",
        "#plt.plot(predicted_stock_price)\n",
        "plt.title('TCS Stock price Real vs Prediction')\n",
        "#plt.ylabel('Price (INR)')\n",
        "#plt.xlabel('Days')\n",
        "plt.legend(['Real Closing Price','Predicted Closing Price'],loc='upper left')\n",
        "plt.show()\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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5meHDh++xLVq3bt2YN28e4XC43NnnsgwdOpQvvviC9957j7Fjx3L99ddz8cUXA7AlK5c1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\nAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZKxNIJ10IE7W",
        "colab_type": "code",
        "outputId": "35259a74-8133-4a0f-a6f0-fba3459c23f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "plt.figure()\n",
        "#plt.plot(dataset['Close Price'])\n",
        "plt.plot(predicted_stock_price)\n",
        "plt.title('TCS Stock price Prediction vs Real')\n",
        "plt.ylabel('Price (INR)')\n",
        "plt.xlabel('Days')\n",
        "plt.legend(['Predicted Price'],loc='upper left')\n",
        "plt.show()\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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zsnno0xXM/iWTPbmFjOicyt/H9ebITk35eWsWN765gDOfnskJPZtTVBxgUfoe\ntuzJ46+n9qRjs8RK939a/9Y8+fkqFm7cTf92jWvgE9UtRcUBJv2wnilzN7JiaxbxsT5uP6kHl4w6\neEBCTVqxdS9fr9zOqK7N6NOmEc99s5YYnzB+RMdqf69uLZJ5YfwQbnlrITPX7OCWMd05oYc379AX\naZY4PKi+NVV9sWIb17/2Ez6fcFq/VgzrlMq4Aa1LR0A16xrHh9cfxb0fLmPppj3E+H0MaNeYu05r\nzUl9Wob1Hlce05lXZ63nP1+v4dkLB0fy49RJd763hDfnbmRQ+8bcOvYIZv+SyX0fLqNPm0YM6dg0\nKjF9tGgLN01ZQEFRAJ/AJSM78cacDVw4vAPNK7nj3qEa2bUZ3/35BJT9/0/rI0scHlSfRlW9Mms9\nd/9vCb1ap/D8xUNCdmY2T4nn6fMHHfL7JMXFMLpHcz5bvo1AQCu8itjsl5lTwKdLtjJl3kYuG9WJ\nv53WExHh4hGFjH3sGx777Gcm/354jcf1zrx0/vzOIga0a8yDZ/XjgU9WMPH7X2iW1ICbTzwiou9t\nfzuWODypPoyqCgSUB6et4Lmv1zK6R3Oe/N1AEiM8pHFY51TempfOqoxsjmiZHNH3qivufG8xnyzZ\nSuOGsfxxdLfSWmByfCxnDmrDf75ey87sfFKT4moknj37Crn93UV8smQrIzqnMuHiwSTHxzLhosFs\n25tPXIyPRg291/dS19ioKg+q601VeYXF3PDGTzz39VouHN6e5y4aHPGkATCsk9OkMvuXnRF/r7pg\ndUYWny7dyiUjOzLtxmMOOiGf3KcVxQFlxrJtNRJPflExV0yay2fLt3Hr2CN45fKhJLsd9CJCy0bx\n1dohbkKzGocHeW1UlaqSnV9U+p/0cGzM3MfVk+exZNNebj+5B1cd07nGruZu2ySBNo0T+HJFBhdH\noPO0LiksDnD7O4tpGOvnhtHdaFrOCbl36xTaNkngs+XbOG9o+NcyrNyaxbz1u2jVOJ6uaUl8sGgz\n//tpM5n7CujRMpkbf9WdwR2aHLTdlB83MmddJo+fO4BfD2xzWJ/PHB5LHB7k88itY/MKi3lp5jom\nzVzH5j15DGzfmMfPHUCH1MpHMZVnxrJt3DxlAQo8f/EQTuxVsyNSRIQzB7bhma9Ws3l37kHzWpn9\nJnyzlrnrd/HEeQPKTRrgHM+ju6XxwcLNFBUHDrjXRXmKigP838cryr1HyrBOTRnQrjFf/ZzBFZPm\n8umNR9M8Of6AbZ/7Zi0D2zdm3IDIT+9hKmaJw4O8cOvYjZn7+P3Lc1m5LYtRXVM5a0g7Jv2wjt8+\n+wMf//GoA/5Th+O/367lHx8xnQX8AAAgAElEQVQtp0+bFJ45fzDtUxtGJvBKnHtkO57+ajWvzlof\n9uR3kTJz9Q6e/XoN6btyad04ntTEODZk7sPvE9KS4ji9f2tO6duyxufX2pNbyHNfr2F0j+aMG1Dx\nL/ujujbj9TkbWJi+m8EdQo+u2ptXyA2v/8RXK7dz8YgO/P6ozmzctY/0Xfvo3iKZge2dGsaqbVmc\n9u/vGPfU99w3rk/pj4spc9NJ35XLPaf3tvnGPMAShwdFe1TVjux8fvf8LLLyinjxkiM5voczP8+p\nfVtxxlPfcetbi3jp0iPD+g/sTEK4iic/X8UpfVvy6DkDKrzKO9LaNW3IKX1a8eL367hkZMeIDdus\nzI/rMrnkpR9JS4pjQPvGLNy4m2Wb99K7dSMCqizetIdPl27lvCPb8X9n9q3RkTwvfLuWvXlF/GlM\n90rXHdklFRH45ucd5SaOwuIAHy7azCPTfmbr3jzuP7MPFwxzLtgs78dDtxbJvHbFMP76/lKumDSX\nX/VsjirMXb+LwR2aMLpn84O2MTUvYolDRNoBk4AWgAITVPUJEXkYOB0oANYAl6rqbnebO4DLgWLg\nBlWd5pafBDwB+IH/quoDkYrbC0pHVUWpxvGPD5eRsTeft68eQb+2+y+WO6JlMnee2pO7/reUST+s\nZ/zIjhXupzig/OOjZbz4/TrOGdKWf/6mnyfGvt920hFMX7aVBz5ZwaPnDqjx988rLObWtxbSqlE8\n718zqrRDN3j23uKA8q/pK3nmqzW0apTAH39V9cn6DkVmTgETv1/HKX1bhjWVRpPEBgxu34RpS7dy\n04kHJpof1uzklrcWsml3Lt1bJPHWH0YwqP3BfRdlDe7QlPevHclTX6zmjR830qRhLF3SErn3DKtt\neEUkaxxFwM2qOl9EkoF5IjIDmAHcoapFIvIgcAfwZxHpBZwH9AZaA5+JSMlf4tPAiUA68KOITFXV\nZRGMPaoO9Z7jqsqXKzNYumkvp/ZrdUg3lvl+9Q7eX7CZG0Z3OyBplLhoeAe+XJHB/328nJFdUunW\n4uBhrXtyC5m6cDP/+2kTc9fv4rJRnfjrqT09M/69Q2oiVx/bhSe/WM0ZA1pz3BE1+yv25ZnrWLdz\nH5MuG3rAKKDgk6LfJ9w69gjW79zHf75ew++Gtaty8+CheO6bNeQUFHHTryqvbZQ4pW8r7vtwGWu3\nZ5f+zX2+fBtXvTKP9qkNeWH8EI4/onmVvv+4GD83jzmCm8dE9poMc2giNhxXVbeo6nz3eRawHGij\nqtNVteTeh7OAkqkdxwFvqGq+qv4CrAaGuo/VqrpWVQuAN9x166xDHVX1zFdruOylufxrxs+c8uS3\nbMzcV6Xt84uK+dv7S+iQ2pBrjit/gjgR4aGz+pMUF8PlL8/lq5UZ7MzO5/Pl2/jLe4s56fFvGHjf\ndPcuank8dFY/7jq94tt2RsO1J3Sla/Mk7nxvCdn5NXcrzrzCYv773S8c1bUZx3RPq3BdESd5FBYH\nePLzVRGPLSMrj0kz1zOuf+tyfxCEcnJf5+r9937aBMCGnfu47rWf6NkqhfevHcXoni089/2bw1Mj\n13GISEdgIDC7zKLLgE/c522AjUHL0t2yUOVl3+NKEZkrInO3b99ePYFHiYggUrVRVet35vDE56s4\nuU9Lvrj5WFTh9ncX8eL3v4R929RPFm9l7Y4c7jqtV4X9EGnJcTw/fgjFAeWSF39k8D8+4/KX5/K/\nnzbRIiWe647vyofXH8X3t59wwI1nvCQuxs+Dv+3H5j25PPzpihp73/d+2sT2rHyuDpGYy+rYLJHz\nh7Xn9TkbWbs9O6KxPTJtJUWBAH+sQm0DoFWjBMb0asFLM9exJ7eQp75cRUCVCRcP9uREiObwVdpU\nJSIjgAuBo4FWQC6wBPgIeFVV91SyfRLwDnCjqu4NKr8Tpzlr8iFHH0RVJwATAIYMGeKNCyAOg1+k\nSjWO1+dsJBBQ7jmjNy1S4rn8qE4889Uavl/tXOw2tncLHvhNvwovkJo8ez0dUxsecLOaUAa1b8Ln\nNx/Llysy2Lo3jy5pSQzr3DTkzZS8aHCHJowf0ZGXf1jHuIFtwmp/PxzFAWXCN2vp26ZRlW62c8Po\nbrwzL51/Tf+Zpy849GlXKvLThl1MmZvOVcd0plMYk0aWdeOvujP9yW85//lZrNiaxcUjOti9T+qw\nCmscIvIJ8HtgGnASTuLoBfwViAf+JyJnVLB9LE7SmKyq7waVXwKcBlygWvqzehMQ/PO0rVsWqrxO\n8/kk7FFVqsoHCzdzVLdmtHBHCd0y5gh++tuJzLpjNH86sTtfrtjOcY98xWMzfiYzp+Cg7e//aBk/\nrtvFBcM6hN2sEB/r5+S+rbh0VCeO6Z5Wq5JGiVvHHkGThg149qs1YW9TUBTgk8VbuPrVedz2ttP5\nG44Zy7bxy44c/nBslyp18jZLiuOKYzrz0eItzFufGfZ24QoElLunLqV5chzXjz60TvherVP419n9\nWbs9hxN7tuDGKtZaTO1SWY3jIlXdUaYsG5jvPv4lIs3K21Cc/xkvAMtV9dGg8pOA24BjVTW4EX4q\n8JqIPIrTOd4NmAMI0E1EOuEkjPOA88P8fLWWXyTsUVXzN+xi0+5cbg4aPunzSWnt4obR3TixVwse\nm/EzT3y+ime/XsMx3dI4pW9LTuvXmnfmp/P8t79w4fD2XDKqYyQ+jmclxsXwu6HteOarNWzYua/S\n60t2ZOczfuIclm7eS1pyHFl5hSzYuJuPbjia2EougHt9zgZapsSHPaNvsN8f3Zm35qZzw+sL+OD6\no0JelHcopszdyKL0PTxx3oDDugXqbwe35YwBrSs9Dqb2q/AbLidpACAiPhG5oKJ1gFHARcAJIrLA\nfZwCPAUkAzPcsv+4+1kKTAGWAZ8C16pqsduRfh1OrWc5MMVdt07z+yTsUVVTF2wmLsbHmN6hT0g9\nW6Uw4eIhzLjpGM4f2p4VW/fypykLGff099z7wVJGdknlvjP61Mv/9BcN74hfhJd/WFfheoXFAX7/\n8lzWbM/m378byA+3n8CT5w3k523Z/Pfbg6+GDrZ5dy7frNrOOUPaHtKQ5KS4GJ65YBDbs/O59MU5\n7C3njoiHYtvePB6atpKhHZtyRv/DvyK7Pv791EeVNVWliMgdIvKUiIwRx/XAWuCcirZV1e9UVVS1\nn6oOcB8fq2pXVW0XVPaHoG3uV9UuqnqEqn4SVP6xqnZ3l91/uB+6NvBJeKOqiooDfLR4C6N7Ng/r\n12K3Fsncc0Zvvr3teJ44bwBrt2fTo2UKT5w3sN6OfGnZKJ6T+7Ziyo8bQ46wKiwOcOd7i1mwcTf/\nOnsAp/dvTYzfx4m9WnByn5Y8Mn0lz3+zltUZ5Q9EeGtuOkCF90avTP92jXnm/EEs3byXs5/9gZ82\n7OKXHTlsDrOpLFhBUYA5v2Ry4X9nk19YzN9/3ceukTBhq+xM8wqwC/gBp6/jLzhNR79W1QURjq1e\nc2oclSeO+Rt2syO7gNP6Ve3XoogwbkAbju6WRkp8TKXzDNV1l47qyAcLN/POvPSDLmzcs6+QqyfP\nY+aanVx/QldO7deqdJkzPLkfW16Yw/0fL+f+j5fz11N78vujO5euEwgoU+ZuZFSXZrRrenhTrfyq\nVwteunQo178+nzOfmenG4Nyoqn3Thmzbk8f27AL6tmnE+cMOnniwsDjAA5+s4I05G8gpKCY1sQHP\njx9i08ybKqkscXRW1b4AIvJfYAvQXlXzIh5ZPecLc1TVgo3OfbRLpgyvqupsK6/NBrVvQv92jXl5\n5jouGr5/gICq8qcpC5i7bhePnN2fswa3PWjb5PhY3rtmJBszc7nz/cX8+4vVnHNku9KhqLPW7mTT\n7lz+fHL1zI11VLdmfHXL8UxbupXYGOHLFdt57uu1gFNTTYqL4fU5G2iW1OCA5suCogDXvz6faUu3\ncebANhzfozkn9AivpmpMsMr+YkobUlW1WETSLWnUDF+YNY6F6Xto0zihxm6kU5ddNqojf3xjAV/9\nnFF6L+kPFm3h8xUZ/PXUnuUmjRIiQvvUhvz5pB6c9u/veO7rNdw61kkUnyzZSkKsnzHVOBtwo4ax\nnHOk0+x15sC2/PXUnhSrkpYUR0DhzGe+59a3F9E5LYmuzZPILyrm2snz+Wx5Bvec3ivq9wo3tVtl\n7RP9RWSv+8gC+pU8F5G9lWxrDkO413EsSt9Nv7aVzylkKndK31a0ahTPhG+cX+/5RcU89OkKerVK\n4dIwT7R92jTiNwPbMOGbtazalkUgoExbupVju6dFdHLH5inxtGqUQIzfR4MYH89eMJhYv3Dhf2fz\n6ZItjJ84h8+WZ/D3cb0taZjDVtmoKr+qpriPZFWNCXqeUlNB1kd+n1AcqHidXTkFbMzMLXdOKVN1\nsX4fl43qxKy1mXy7ajsTvl5L+q5cbj+5R5VGQv3l1J6kxMdy3Ws/8Y+PlpORlc/YPjV775H2qQ15\n5fJhFAUC/OHV+SzZtJdHzu7PRXYDK1MNrHHTo3w+p329Ios2ORft97caR7W5cHgHpszdyDWvzien\noIgz+rfm6G7lXqoUUrOkOB47dwCXvfQjK7dlcdbgtlUevFAderZKYcZNx7JyWxbdmidZc6apNhUm\nDrd5SnFGUpVQd7sGqmqJJ0L8UvmV44vTdwPQu40ljuqS0MDPfy4azMOfrqRRQix/O73XIQ1TPaZ7\nGrP/MprigEbtnh/gTHs+vHP405sYE44KT/yqesAYPXfeqWuBq4D3IhhXvRfOqKqF6Xvo3CyRRgk2\nkVx16pKWxH8uGnzY+7Ff+KauCmvwvog0FpF7gEU4V30fqao3RzKw+i6cUVXWMW6MiYbKmqqaATcD\n5wITgYGVzYZrqkdlo6oysvLYtjefvtYxboypYZX1UawHtgMvAvuAy4Pbe4MnLzTVy1fJqKotu53L\naToc5pXIxhhTVZUljodxOsPBaaIyNcRfyaiqnTn5AKQm2ZXfxpiaVVnn+D01FIcpo7JRVTuznXtq\npCZaB6wxpmZV1sfxZEXLVfWG6g3HlHCaqkInjpKbMTW1GocxpoZV1lQ1r0aiMAfxScWjqnbmFBAX\n4yOxQe27654xpnarrKnq5ZoKxByoslFVO7MLSE1sYPdQMMbUuMpu5PS8iPQJsSxRRC4ruROgqV4+\nHwQqGFWVmZNvzVTGmKiorKnqaeAuEekLLMEZmhuPcz/wFJxrOyZHNMJ6yu8TiioYj7szp8A6xo0x\nUVFZU9UC4Bx3qpEhQCsgF1iuqitrIL56yxfGqKquaUk1GJExxjjCmnJEVbNV9StVfV1V3w8naYhI\nOxH5UkSWichSEfmjW95URGaIyCr33yZuuYjIkyKyWkQWicigoH2Nd9dfJSLjD/XD1iZ+nxCoZFSV\n3b3PGBMNkbzRdBFws6r2AoYD14pIL+B24HNV7QZ87r4GOBmnCawbcCXwLDiJBrgbGAYMBe4uSTZ1\nWUXXcewrKCK3sNgm0TPGREXEEoeqblHV+e7zLGA50AYYB5SM1noZ+LX7fBwwSR2zgMYi0goYC8xQ\n1UxV3QXMAE6KVNxeIRJ6ypHd+5w7+jZpaLPiGmNqXpUSh4gc0sRIItIRGAjMBlqo6hZ30Vag5NZo\nbYCNQZulu2Whysu+x5UiMldE5m7fvv1QwvQUv4+QTVXZ+UUAJMdb4jDG1Lxwp1UfKSLLgBXu6/4i\n8kyY2yYB7wA3quoB9ylXZzKmym+sHQZVnaCqQ1R1SFpaWnXsMqr8vtBNVVl5TuJIjLOL/4wxNS/c\nGsdjOE1GOwFUdSFwTGUbiUgsTtKYrKrvusXb3CYo3H8z3PJNQLugzdu6ZaHK67SKrhzfX+OwGzAa\nY2pe2E1VqrqxTFFxReuLc0nzCzhDd4OnX58KlIyMGg/8L6j8Ynd01XBgj9ukNQ0YIyJN3E7xMW5Z\nnVbRqKpst8aRFGdNVcaYmhfuT9aNIjISULcW8Ueczu6KjAIuAhaLyAK37C/AA8AUEbkc534f57jL\nPgZOAVbj3PvjUgBVzRSRvwM/uuvdp6qZYcZda1U0qio73+kcT7IahzEmCsI98/wBeAKnU3oTMB3n\n3uMhqep3QKiJlEaXs76G2qeqTsS5Sr3e8Pkk5JQj2flOZS+pgSUOY0zNC+vMo6o7AJuTqgb5hJCT\nHGZb57gxJorCHVX1sog0DnrdRETqVQ2gplU0qio7v5CEWD8x/khev2mMMeUL98zTT1V3l7xwL8Qb\nGJmQDDijqkLdOjY7v8j6N4wxURNu4vAFT/PhTgNiZ64I8ldwB8Ds/GKS4uzwG2OiI9yzz7+AH0Tk\nLZwO77OA+yMWlXFmxw3Zx1FoicMYEzXhdo5PEpG5wAlu0W9UdVnkwjJ+nxBqctzs/CJLHMaYqKnw\n7CMiKaq6122a2gq8FrSsaX24niJaKhpVlZVXRLumhzRtmDHGHLbKfra+BpwGzOPAOaXEfd05QnHV\ne74KR1UVkWw1DmNMlFR2B8DT3KlDjlXVDTUUk8G5cjzUlCM5+UUkWuIwxkRJpaOq3Cu6P6qBWEwQ\np4/j4MShqjYc1xgTVeEOx50vIkdGNBJzAGd2XA66liO/KEBhsVrnuDEmasI9+wwDLhSRdUAObh+H\nqvaLVGD1nd/nTPMVUPAHzfiV406pntjAphsxxkRHuIljbESjMAcpSRzFAS19DrCvwJngsKHVOIwx\nUVLZcNx4nJlxuwKLgRdUtagmAqvvxM0VZfs5ShOH1TiMMVFSWR/Hy8AQnKRxMs4V5KYG+GV/jSPY\nvoKSpiqrcRhjoqOys08vVe0LICIvAHMiH5KB4D6O8mscCVbjMMZESWU1jsKSJ9ZEVbN8bo2j7M2c\nShKH1TiMMdFS2dmnv4jsdZ8LkOC+LhlVlRLR6Oqx0s7xg2ocTv62GocxJloqu3Lczk5R4vOF6uNw\naxx29z9jTJRE7BZyIjJRRDJEZElQ2QARmSUiC0RkrogMdctFRJ4UkdUiskhEBgVtM15EVrmP8ZGK\n12tKOsfL9nGUXMfR0JqqjDFREsl7j74EnFSm7CHgXlUdANzlvgZnxFY393El8CyU3jDqbpwLEIcC\ndwffUKouK7l0o2yNI9eG4xpjoixiiUNVvwHKTruuQEm/SCNgs/t8HDBJHbOAxiLSCufCwxmqmune\nrnYGByejOilUU1VOQTEN/D5i7X7jxpgoqen2jhuBaSLyCE7SGumWtwE2Bq2X7paFKj+IiFyJU1uh\nffv21Rt1FJQ0VZWd5zC3oMg6xo0xUVXTP1uvBm5S1XbATcAL1bVjVZ2gqkNUdUhaWlp17TZqQo2q\nyikotnmqjDFRVdOJYzzwrvv8LZx+C4BNQLug9dq6ZaHK67xQTVW5BcVW4zDGRFVNJ47NwLHu8xOA\nVe7zqcDF7uiq4cAeVd0CTAPGiEgTt1N8jFtW54UcVVVgN3EyxkRXxM5AIvI6cBzQTETScUZHXQE8\nISIxQB5unwTwMXAKsBrYB1wKoKqZIvJ34Ed3vfvqy33OQ42q2ldQTEKs1TiMMdETscShqr8LsWhw\nOesqcG2I/UwEJlZjaLVC6AsAi2ieHB+NkIwxBqj5pioTplCjqvZZH4cxJsoscXhUyLmq8m1UlTEm\nuixxeFRFTVU23YgxJposcXhUqFFV+wqKbboRY0xUWeLwKJ/7zQTXOAqKAhQF1BKHMSaqLHF41P4b\nOe1PHPsnOLSmKmNM9Fji8KjyOsdzCkqmVLcahzEmeixxeFRpjSOoi6PkJk4N7cpxY0wUWeLwqJIa\nR3BTVcltYxvalePGmCiyxOFRJaOqig9IHCU1DkscxpjoscThUaWjqrScGod1jhtjosgSh0eV31Tl\n1DjsynFjTDRZ4vCoks7xA2oc+U7isLmqjDHRZInDo8ofVeU0VSVaU5UxJooscXhUeU1VOQVW4zDG\nRJ8lDo8qb1RVbkExfp8QF2NfmzEmeuwM5FHljarKKSiiYawfcZOKMcZEgyUOjyqvqSq3oNiu4TDG\nRJ0lDo/ylzOqKqeg2K7hMMZEXcQSh4hMFJEMEVlSpvx6EVkhIktF5KGg8jtEZLWIrBSRsUHlJ7ll\nq0Xk9kjF6zVS7uy4RTbBoTEm6iL58/Ul4ClgUkmBiBwPjAP6q2q+iDR3y3sB5wG9gdbAZyLS3d3s\naeBEIB34UUSmquqyCMbtCaVNVUHDcXPy7SZOxpjoi1iNQ1W/ATLLFF8NPKCq+e46GW75OOANVc1X\n1V+A1cBQ97FaVdeqagHwhrtunVfuXFWF1lRljIm+mu7j6A4cLSKzReRrETnSLW8DbAxaL90tC1V+\nEBG5UkTmisjc7du3RyD0mlUyqipwwJXj1lRljIm+mk4cMUBTYDhwKzBFqmlsqapOUNUhqjokLS2t\nOnYZVaU3ciozV5XVOIwx0VbTZ6F04F1VVWCOiASAZsAmoF3Qem3dMioor9PKnavKOseNMR5Q0zWO\n94HjAdzO7wbADmAqcJ6IxIlIJ6AbMAf4EegmIp1EpAFOB/rUGo45Ksq753iOXcdhjPGAiNU4ROR1\n4DigmYikA3cDE4GJ7hDdAmC8W/tYKiJTgGVAEXCtqha7+7kOmAb4gYmqujRSMXtJ2VFVhcUBCooC\nJFlTlTEmyiJ2FlLV34VYdGGI9e8H7i+n/GPg42oMrVZw80ZpH0dOvjMzblK8JQ5jTHTZleMeJSL4\nZP+oqqw8d0r1OEscxpjossThYX6f7K9xuPfiSLbEYYyJMkscHuYTKR1VlW01DmOMR1ji8DC/T0pH\nVWXnW+IwxniDJQ4P84lQHHCelySOZOscN8ZEmSUODwvuHM+xGocxxiMscXiY3ycHjapKssRhjIky\nSxwedsCoqvxiABJtyhFjTJRZ4vAwn+yvceQUFJEQ6yfGb1+ZMSa67CzkYcE1jqy8IuvfMMZ4giUO\nDwseVZWTX2QjqowxnmCJw8N8PlDdfx1Hos2Ma4zxAEscHuYPvnI8v8hGVBljPMESh4f5gvo4svMs\ncRhjvMESh4f5y4yqssRhjPECSxwe5i9T47BRVcYYL7DE4WElo6pUlT25hTRuGBvtkIwxxhKHl5WM\nqsrKL6IooDROaBDtkIwxxhKHl5WMqtqdUwhgNQ5jjCdELHGIyEQRyRCRJeUsu1lEVESaua9FRJ4U\nkdUiskhEBgWtO15EVrmP8ZGK14viYv3kFhSzO7cAgCYNrcZhjIm+SNY4XgJOKlsoIu2AMcCGoOKT\ngW7u40rgWXfdpsDdwDBgKHC3iDSJYMyekhIfS1ZeEbv2OTWOJolW4zDGRF/EEoeqfgNklrPoMeA2\nQIPKxgGT1DELaCwirYCxwAxVzVTVXcAMyklGdVVKQgx7cgvZvc+pcTSyPg5jjAfUaB+HiIwDNqnq\nwjKL2gAbg16nu2Whysvb95UiMldE5m7fvr0ao46eRgmx7M0rZFdOSVOV1TiMMdFXY4lDRBoCfwHu\nisT+VXWCqg5R1SFpaWmReIsaV9JUlZlTUuOwxGGMib6arHF0AToBC0VkHdAWmC8iLYFNQLugddu6\nZaHK64WSRLFxVy7J8TF2Lw5jjCfU2JlIVReranNV7aiqHXGanQap6lZgKnCxO7pqOLBHVbcA04Ax\nItLE7RQf45bVCylu4li/M8dGVBljPCOSw3FfB34AjhCRdBG5vILVPwbWAquB54FrAFQ1E/g78KP7\nuM8tqxdKahwbMvdZ/4YxxjMiNvmRqv6ukuUdg54rcG2I9SYCE6s1uFoixb1x047sAnq3bhTlaIwx\nxmGN5h7WKKiWYVeNG2O8whKHh6XE708WnZolRjESY4zZzxKHh6UEDb/t2SolipEYY8x+ljg8LLHB\n/nuM97LEYYzxCEscHiYipc/bNkmIYiTGGLOfJY5aIjiJGGNMNNm9SD3u0XP60zTRLv4zxniHJQ6P\n+82gttEOwRhjDmBNVcYYY6rEEocxxpgqscRhjDGmSixxGGOMqRJLHMYYY6rEEocxxpgqscRhjDGm\nSixxGGOMqRJx7qFUt4jIdmD9YeyiGbCjmsKpabU5drD4o6k2xw4Wf3XooKppla1UJxPH4RKRuao6\nJNpxHIraHDtY/NFUm2MHi78mWVOVMcaYKrHEYYwxpkoscZRvQrQDOAy1OXaw+KOpNscOFn+NsT4O\nY4wxVWI1DmOMMVViicMYY0yVWOIIIiInichKEVktIrdHO55wiMg6EVksIgtEZK5b1lREZojIKvff\nJtGOs4SITBSRDBFZElRWbrzieNL9PhaJyKDoRR4y9ntEZJN7/BeIyClBy+5wY18pImOjE/V+ItJO\nRL4UkWUislRE/uiWe/74VxB7rTj+IhIvInNEZKEb/71ueScRme3G+aaINHDL49zXq93lHaMZ/0FU\n1R5OP48fWAN0BhoAC4Fe0Y4rjLjXAc3KlD0E3O4+vx14MNpxBsV2DDAIWFJZvMApwCeAAMOB2R6M\n/R7glnLW7eX+DcUBndy/LX+U428FDHKfJwM/u3F6/vhXEHutOP7uMUxyn8cCs91jOgU4zy3/D3C1\n+/wa4D/u8/OAN6P5t1P2YTWO/YYCq1V1raoWAG8A46Ic06EaB7zsPn8Z+HUUYzmAqn4DZJYpDhXv\nOGCSOmYBjUWkVc1EerAQsYcyDnhDVfNV9RdgNc7fWNSo6hZVne8+zwKWA22oBce/gthD8dTxd49h\ntvsy1n0ocALwtlte9tiXfCdvA6NFRGoo3EpZ4tivDbAx6HU6Ff9heoUC00Vknohc6Za1UNUt7vOt\nQIvohBa2UPHWlu/kOrcpZ2JQs6CnY3ebPgbi/PKtVce/TOxQS46/iPhFZAGQAczAqQXtVtUid5Xg\nGEvjd5fvAVJrNuLQLHHUfkep6iDgZOBaETkmeKE6dd1aM+a6tsULPAt0AQYAW4B/RTecyolIEvAO\ncKOq7g1e5vXjX07steb4q2qxqg4A2uLUfnpEOaRDZoljv01Au6DXbd0yT1PVTe6/GcB7OH+Q20qa\nFNx/M6IXYVhCxev57w4mKL8AAANoSURBVERVt7knhADwPPubQzwZu4jE4px4J6vqu25xrTj+5cVe\n244/gKruBr4ERuA0/8W4i4JjLI3fXd4I2FnDoYZkiWO/H4Fu7iiHBjgdUlOjHFOFRCRRRJJLngNj\ngCU4cY93VxsP/C86EYYtVLxTgYvd0T3DgT1BTSqeUKbN/0yc4w9O7Oe5o2M6Ad2AOTUdXzC3jfwF\nYLmqPhq0yPPHP1TsteX4i0iaiDR2nycAJ+L003wJnOWuVvbYl3wnZwFfuLVBb4h277yXHjijSH7G\naXu8M9rxhBFvZ5yRIwuBpSUx47SFfg6sAj4DmkY71qCYX8dpUijEadO9PFS8OCNRnna/j8XAEA/G\n/oob2yKc/+ytgta/0419JXCyB479UTjNUIuABe7jlNpw/CuIvVYcf6Af8JMb5xLgLre8M05CWw28\nBcS55fHu69Xu8s7R/vsJftiUI8YYY6rEmqqMMcZUiSUOY4wxVWKJwxhjTJVY4jDGGFMlljiMMcZU\nSUzlqxhjKiIixThDQmOBIv6/vbsHjSqIojj+P0gKg5hKKxEJRAsLRVLZCGKtgmDlBzbpU1vY2QY0\nBCuRlcQqwUqsBLHQSqy0EKwsjJUSZQU1x2LmiQgxeexmH4bzg20W3nKnOsy8nXuhB8y5XEqL2HES\nHBGD67u0kkDSfmAJ2Avc6LSqiG2So6qIIXJp/TJDabwnSYckPZP0sn5OAkjqSfrdtVjSoqRzko7W\nuQ2vauO+qa7WErGRXACMGJCkL7b3/PXdJ+AIsAas2/5WQ+CB7WlJp4BZ2+clTVBuQk8Bc8AL24u1\n9c0u2/3Rriji33JUFbG9xoB5SceBn8BhANtPJS1I2gdcAJZt/5D0HLgu6QCwYvttZ5VHbCBHVRFD\nJmmSEhIfgVlgFTgGTFOmSzZ6wCXgGnAXwPYScBboA48knR5d5RFbkx1HxBDVHcQdYN626zHUe9vr\nkq5SRhQ37lEa2H2w/bo+Pwm8s31L0kFKc7wnI11ExCYSHBGD210nuzV/x70PNK2/F4BlSVeAx8DX\n5iHbq5LeAA//+K2LwGVJ3ynT+G6OoP6IVvJyPKIjksYp9z9O2P7cdT0RW5V3HBEdkHSGMsjndkIj\n/jfZcURERCvZcURERCsJjoiIaCXBERERrSQ4IiKilQRHRES08gvkVoK/aOnvvgAAAABJRU5ErkJg\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jjWLpsHmJhy2",
        "colab_type": "code",
        "outputId": "53ce33f5-a7a8-456c-92cb-c48a228c8293",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "plt.figure()\n",
        "plt.plot(y_temp)\n",
        "plt.plot(predicted_stock_price)\n",
        "plt.title('TCS Stock price Real vs Prediction')\n",
        "plt.ylabel('Price (INR)')\n",
        "plt.xlabel('Days')\n",
        "plt.legend(['Real Price','Predicted Price'],loc='upper left')\n",
        "plt.show()\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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cF8kSSiSpVnrSxtULwl/i39m/9mKqSN8z4dUbYcx3w+vTHt52PUde49CvM+s5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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}