FII_yearly_investment.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "FII_yearly_investment.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPuusUOWcqN4tW0AUXFDuPc",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/anirbanghoshsbi/.github.io/blob/master/FII_yearly_investment.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9_Kam_jgxlij"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8tLGonQsxnnz"
      },
      "source": [
        "data =  pd.read_html('https://www.fpi.nsdl.co.in/web/Reports/Yearwise.aspx?RptType=5')"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RlQcXbB8yLSV"
      },
      "source": [
        "df=data[1]"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B6KM_qQVOUzd"
      },
      "source": [
        "# Yearly"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TTZPN4bU1XmM"
      },
      "source": [
        "df.columns = df.columns.droplevel([0,1])"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "afU5Pu1uyiXZ",
        "outputId": "86ae9012-e433-4768-ffae-d06d03f1b78d"
      },
      "source": [
        "df.columns"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Financial Year', 'Equity', 'Debt', 'Debt-VRR', 'Hybrid', 'Total'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "id": "vIRTF5U41vmR",
        "outputId": "32d30e00-332f-4d0a-d0ee-57c4e6b7e86b"
      },
      "source": [
        "df.head(2)"
      ],
      "execution_count": 6,
      "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>Financial Year</th>\n",
              "      <th>Equity</th>\n",
              "      <th>Debt</th>\n",
              "      <th>Debt-VRR</th>\n",
              "      <th>Hybrid</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1992-93</td>\n",
              "      <td>13</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1993-94</td>\n",
              "      <td>5127</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5127</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Financial Year Equity Debt Debt-VRR Hybrid Total\n",
              "0        1992-93     13    0        0      0    13\n",
              "1        1993-94   5127    0        0      0  5127"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "67mbGFni3pFY"
      },
      "source": [
        "df=df[:-1]"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "id": "hKvUZTP83yOZ",
        "outputId": "40217a41-0c36-48b9-b7b9-e1cb78eec558"
      },
      "source": [
        "df.tail(2)"
      ],
      "execution_count": 8,
      "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>Financial Year</th>\n",
              "      <th>Equity</th>\n",
              "      <th>Debt</th>\n",
              "      <th>Debt-VRR</th>\n",
              "      <th>Hybrid</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>2021-22 **</td>\n",
              "      <td>591</td>\n",
              "      <td>7875</td>\n",
              "      <td>10532</td>\n",
              "      <td>935</td>\n",
              "      <td>19933</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Total</td>\n",
              "      <td>1038908</td>\n",
              "      <td>297027</td>\n",
              "      <td>51128</td>\n",
              "      <td>22406</td>\n",
              "      <td>1409470</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Financial Year   Equity    Debt Debt-VRR Hybrid    Total\n",
              "28     2021-22 **      591    7875    10532    935    19933\n",
              "29          Total  1038908  297027    51128  22406  1409470"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "09uO5X-K2pW6"
      },
      "source": [
        "equity = df.Equity.astype('float')"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A9C-7-123X1L"
      },
      "source": [
        "date=pd.date_range(start=\"1993-01-01\",end=\"2022-01-01\",freq='AS')"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FHmzVtpm5sQS"
      },
      "source": [
        "final_equity= pd.DataFrame([date,equity]).T"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-IKxCZ3M6Cq_"
      },
      "source": [
        "final_equity.columns=['Date','Equity']"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mDHdkRT96jMa"
      },
      "source": [
        "final_equity.set_index('Date',inplace=True)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "qiyCvyMF61T6",
        "outputId": "323b4fa1-484a-4b7f-f305-15aed1760542"
      },
      "source": [
        "final_equity[:-1].plot.bar()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a4ea9be10>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fwCGKIqZOQkB"
      },
      "source": [
        "# Monthly"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0UqxQVd_BGp4"
      },
      "source": [
        "https://www.fpi.nsdl.co.in/web/Reports/Yearwise.aspx?RptType=6"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eFE6Dstn81Ob"
      },
      "source": [
        "monthly=pd.Series([19473,25787,10482,9659,-2954,17215,-11308,2083,5214])  # CHANGE HERE MANUALLY\n",
        "# "
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qVh2ay_M-_-z"
      },
      "source": [
        "date=pd.date_range(start=\"2021-01-01\",end=\"2021-10-01\",freq='M')"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zo9Yl07__BGK",
        "outputId": "81ecfc75-9ae8-4acf-96fa-bcd6229e4748"
      },
      "source": [
        "date"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatetimeIndex(['2021-01-31', '2021-02-28', '2021-03-31', '2021-04-30',\n",
              "               '2021-05-31', '2021-06-30', '2021-07-31', '2021-08-31',\n",
              "               '2021-09-30'],\n",
              "              dtype='datetime64[ns]', freq='M')"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7angaIit_QKU"
      },
      "source": [
        "monthly_equity= pd.DataFrame([date,monthly]).T\n",
        "monthly_equity.columns=['Date','Month_End_Equity']"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e7vuaoqL_-4H"
      },
      "source": [
        "monthly_equity.set_index('Date',inplace=True)"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "ByGI81a6ABIW",
        "outputId": "3e0048a6-9e59-40c7-853b-95e0ef464dd2"
      },
      "source": [
        "monthly_equity.plot.bar()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a4e934cd0>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w6DtwWNFBAxf"
      },
      "source": [
        "# Sector Wise data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SFBCjbrZBDYL"
      },
      "source": [
        "sector=pd.read_html('https://www.fpi.nsdl.co.in/web/StaticReports/Fortnightly_Sector_wise_FII_Investment_Data/FIIInvestSector_July312021.html')"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ItsPr5DiBY30"
      },
      "source": [
        "sector_equity=sector[0].iloc[:,[1,2,12,22,32]]"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PZLgwIuhBY2A"
      },
      "source": [
        "sector_equity=sector_equity.drop([1]).reset_index(drop=True)"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xwKGcyfaFiZM",
        "outputId": "b7ace465-a618-497f-c51c-7feba58f3a33"
      },
      "source": [
        "sector_equity.columns"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Int64Index([1, 2, 12, 22, 32], dtype='int64')"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "czOppoveBYzH"
      },
      "source": [
        "sector_equity.columns=['sector','month_first_half_capital','inv_month_1st_half','inv_month_2nd_half','month_second_half_capital']"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0eK9igeaBYwa"
      },
      "source": [
        "sector_equity=sector_equity[2:-1].reset_index(drop=True)"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MIEvz3KcBYrS"
      },
      "source": [
        "sector_equity['month_first_half_capital']=sector_equity['month_first_half_capital'].astype('float')"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZAN8i7oYKNQ3"
      },
      "source": [
        "sector_equity['inv_month_1st_half']=sector_equity['inv_month_1st_half'].astype('float')"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JfPVXu6qKXbg"
      },
      "source": [
        "sector_equity['inv_month_2nd_half']=sector_equity['inv_month_2nd_half'].astype('float')"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lm3CFlyBKeq3"
      },
      "source": [
        "sector_equity['month_second_half_capital']=sector_equity['month_second_half_capital'].astype('float')"
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nQ7fdLTZKp-_"
      },
      "source": [
        "sector_equity.set_index('sector',inplace=True)"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "8U4zd2B3BD0w",
        "outputId": "897ebe63-f806-4eb7-887a-0af69e75e5bc"
      },
      "source": [
        "sector_equity[['month_first_half_capital','month_second_half_capital']].plot.bar(figsize=(25,10))"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a4e412410>"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "fls8VHnIBDtL",
        "outputId": "a5f2b92e-590d-4034-f9a5-5a7bd1c63c62"
      },
      "source": [
        "sector_equity"
      ],
      "execution_count": 33,
      "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>month_first_half_capital</th>\n",
              "      <th>inv_month_1st_half</th>\n",
              "      <th>inv_month_2nd_half</th>\n",
              "      <th>month_second_half_capital</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sector</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Automobiles &amp; Auto Components</th>\n",
              "      <td>199211.0</td>\n",
              "      <td>-748.0</td>\n",
              "      <td>-1503.0</td>\n",
              "      <td>191015.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Financial Services</th>\n",
              "      <td>1450942.0</td>\n",
              "      <td>-4150.0</td>\n",
              "      <td>-6617.0</td>\n",
              "      <td>1396742.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Banks</th>\n",
              "      <td>843662.0</td>\n",
              "      <td>-2430.0</td>\n",
              "      <td>-4911.0</td>\n",
              "      <td>802059.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Financial Services1</th>\n",
              "      <td>607281.0</td>\n",
              "      <td>-1720.0</td>\n",
              "      <td>-1706.0</td>\n",
              "      <td>594683.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Capital Goods</th>\n",
              "      <td>153963.0</td>\n",
              "      <td>-372.0</td>\n",
              "      <td>421.0</td>\n",
              "      <td>150962.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chemicals &amp; Petrochemicals</th>\n",
              "      <td>82318.0</td>\n",
              "      <td>-86.0</td>\n",
              "      <td>-97.0</td>\n",
              "      <td>82703.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Coal</th>\n",
              "      <td>5942.0</td>\n",
              "      <td>-73.0</td>\n",
              "      <td>71.0</td>\n",
              "      <td>5865.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Commercial Services &amp; Supplies</th>\n",
              "      <td>37754.0</td>\n",
              "      <td>-205.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>37887.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Construction Materials</th>\n",
              "      <td>97012.0</td>\n",
              "      <td>-373.0</td>\n",
              "      <td>-244.0</td>\n",
              "      <td>100142.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Consumer Durables</th>\n",
              "      <td>125538.0</td>\n",
              "      <td>1033.0</td>\n",
              "      <td>542.0</td>\n",
              "      <td>128050.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Diversified2</th>\n",
              "      <td>12031.0</td>\n",
              "      <td>75.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>13507.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Diversified Consumer Services</th>\n",
              "      <td>3405.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3648.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Food &amp; Drugs Retailing</th>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Food, Beverages &amp; Tobacco</th>\n",
              "      <td>116742.0</td>\n",
              "      <td>-426.0</td>\n",
              "      <td>-1111.0</td>\n",
              "      <td>114964.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Forest Materials</th>\n",
              "      <td>1913.0</td>\n",
              "      <td>-18.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2076.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>General Industrials</th>\n",
              "      <td>37127.0</td>\n",
              "      <td>122.0</td>\n",
              "      <td>-42.0</td>\n",
              "      <td>37741.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hardware Technology &amp; Equipment</th>\n",
              "      <td>36.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>35.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Healthcare Equipment &amp; Supplies</th>\n",
              "      <td>1414.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>1451.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Healthcare Services</th>\n",
              "      <td>53982.0</td>\n",
              "      <td>243.0</td>\n",
              "      <td>-48.0</td>\n",
              "      <td>56871.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hotels, Restaurants &amp; Tourism</th>\n",
              "      <td>26371.0</td>\n",
              "      <td>-33.0</td>\n",
              "      <td>24.0</td>\n",
              "      <td>30167.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Household &amp; Personal Products</th>\n",
              "      <td>166065.0</td>\n",
              "      <td>219.0</td>\n",
              "      <td>292.0</td>\n",
              "      <td>165211.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Insurance</th>\n",
              "      <td>116095.0</td>\n",
              "      <td>-339.0</td>\n",
              "      <td>-313.0</td>\n",
              "      <td>115366.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Media</th>\n",
              "      <td>20656.0</td>\n",
              "      <td>-41.0</td>\n",
              "      <td>-51.0</td>\n",
              "      <td>19776.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Metals &amp; Mining</th>\n",
              "      <td>104700.0</td>\n",
              "      <td>1623.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>115448.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Oil &amp; Gas</th>\n",
              "      <td>402535.0</td>\n",
              "      <td>392.0</td>\n",
              "      <td>-4.0</td>\n",
              "      <td>394264.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pharmaceuticals &amp; Biotechnology</th>\n",
              "      <td>183285.0</td>\n",
              "      <td>98.0</td>\n",
              "      <td>-542.0</td>\n",
              "      <td>180700.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Real Estate Investment</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Realty</th>\n",
              "      <td>50105.0</td>\n",
              "      <td>-78.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>50794.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Retailing</th>\n",
              "      <td>65349.0</td>\n",
              "      <td>-36.0</td>\n",
              "      <td>5491.0</td>\n",
              "      <td>76012.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Software &amp; Services</th>\n",
              "      <td>619169.0</td>\n",
              "      <td>-1900.0</td>\n",
              "      <td>-1559.0</td>\n",
              "      <td>625884.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Telecom Services</th>\n",
              "      <td>84009.0</td>\n",
              "      <td>-461.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>87189.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Telecommunications Equipment</th>\n",
              "      <td>304.0</td>\n",
              "      <td>-6.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>306.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Textiles, Apparels &amp; Accessories</th>\n",
              "      <td>50600.0</td>\n",
              "      <td>430.0</td>\n",
              "      <td>293.0</td>\n",
              "      <td>51330.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Transportation</th>\n",
              "      <td>59291.0</td>\n",
              "      <td>-381.0</td>\n",
              "      <td>-563.0</td>\n",
              "      <td>55869.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Airlines</th>\n",
              "      <td>13635.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>-50.0</td>\n",
              "      <td>12255.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Logistics</th>\n",
              "      <td>2857.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>-65.0</td>\n",
              "      <td>3154.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Marine Port &amp; Services</th>\n",
              "      <td>23535.0</td>\n",
              "      <td>-276.0</td>\n",
              "      <td>-296.0</td>\n",
              "      <td>22319.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Roads &amp; Highways</th>\n",
              "      <td>2744.0</td>\n",
              "      <td>-12.0</td>\n",
              "      <td>-41.0</td>\n",
              "      <td>2631.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Shipping</th>\n",
              "      <td>1472.0</td>\n",
              "      <td>-18.0</td>\n",
              "      <td>-33.0</td>\n",
              "      <td>1295.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Surface Transportation</th>\n",
              "      <td>88.0</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-3.0</td>\n",
              "      <td>88.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Transport Related Services</th>\n",
              "      <td>10176.0</td>\n",
              "      <td>-131.0</td>\n",
              "      <td>-49.0</td>\n",
              "      <td>9755.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Airport Services</th>\n",
              "      <td>4785.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>-26.0</td>\n",
              "      <td>4372.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Utilities3</th>\n",
              "      <td>120599.0</td>\n",
              "      <td>-215.0</td>\n",
              "      <td>-780.0</td>\n",
              "      <td>109509.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sovereign</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Others4</th>\n",
              "      <td>28140.0</td>\n",
              "      <td>789.0</td>\n",
              "      <td>-273.0</td>\n",
              "      <td>27929.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                  month_first_half_capital  ...  month_second_half_capital\n",
              "sector                                                      ...                           \n",
              "Automobiles & Auto Components                     199211.0  ...                   191015.0\n",
              "Total Financial Services                         1450942.0  ...                  1396742.0\n",
              "Banks                                             843662.0  ...                   802059.0\n",
              "Other Financial Services1                         607281.0  ...                   594683.0\n",
              "Capital Goods                                     153963.0  ...                   150962.0\n",
              "Chemicals & Petrochemicals                         82318.0  ...                    82703.0\n",
              "Coal                                                5942.0  ...                     5865.0\n",
              "Commercial Services & Supplies                     37754.0  ...                    37887.0\n",
              "Construction Materials                             97012.0  ...                   100142.0\n",
              "Consumer Durables                                 125538.0  ...                   128050.0\n",
              "Diversified2                                       12031.0  ...                    13507.0\n",
              "Diversified Consumer Services                       3405.0  ...                     3648.0\n",
              "Food & Drugs Retailing                                 2.0  ...                        4.0\n",
              "Food, Beverages & Tobacco                         116742.0  ...                   114964.0\n",
              "Forest Materials                                    1913.0  ...                     2076.0\n",
              "General Industrials                                37127.0  ...                    37741.0\n",
              "Hardware Technology & Equipment                       36.0  ...                       35.0\n",
              "Healthcare Equipment & Supplies                     1414.0  ...                     1451.0\n",
              "Healthcare Services                                53982.0  ...                    56871.0\n",
              "Hotels, Restaurants & Tourism                      26371.0  ...                    30167.0\n",
              "Household & Personal Products                     166065.0  ...                   165211.0\n",
              "Insurance                                         116095.0  ...                   115366.0\n",
              "Media                                              20656.0  ...                    19776.0\n",
              "Metals & Mining                                   104700.0  ...                   115448.0\n",
              "Oil & Gas                                         402535.0  ...                   394264.0\n",
              "Pharmaceuticals & Biotechnology                   183285.0  ...                   180700.0\n",
              "Real Estate Investment                                 0.0  ...                        0.0\n",
              "Realty                                             50105.0  ...                    50794.0\n",
              "Retailing                                          65349.0  ...                    76012.0\n",
              "Software & Services                               619169.0  ...                   625884.0\n",
              "Telecom Services                                   84009.0  ...                    87189.0\n",
              "Telecommunications Equipment                         304.0  ...                      306.0\n",
              "Textiles, Apparels & Accessories                   50600.0  ...                    51330.0\n",
              "Transportation                                     59291.0  ...                    55869.0\n",
              "Airlines                                           13635.0  ...                    12255.0\n",
              "Logistics                                           2857.0  ...                     3154.0\n",
              "Marine Port & Services                             23535.0  ...                    22319.0\n",
              "Roads & Highways                                    2744.0  ...                     2631.0\n",
              "Shipping                                            1472.0  ...                     1295.0\n",
              "Surface Transportation                                88.0  ...                       88.0\n",
              "Transport Related Services                         10176.0  ...                     9755.0\n",
              "Airport Services                                    4785.0  ...                     4372.0\n",
              "Utilities3                                        120599.0  ...                   109509.0\n",
              "Sovereign                                              0.0  ...                        0.0\n",
              "Others4                                            28140.0  ...                    27929.0\n",
              "\n",
              "[45 rows x 4 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HSfkanBBNnJM"
      },
      "source": [
        ""
      ],
      "execution_count": 33,
      "outputs": []
    }
  ]
}