MNC_Day_1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.7"
    },
    "colab": {
      "name": "MNC_Day_1.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "4FpF1prRqbn2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "PROVIDE_OWN_INPUT = False"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JqYQq3SVPojs",
        "colab_type": "code",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 106
        },
        "outputId": "d0f51fa2-4184-4c0c-84a5-7272e7f486aa"
      },
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-0a79623b-e3d8-43b6-a37b-805276433fd5\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-0a79623b-e3d8-43b6-a37b-805276433fd5\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving dataset1.csv to dataset1.csv\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'dataset1.csv': b'Company Name,PL_Net Sales,PL_Operating Profit (Excl OI),PL_Consolidated PAT,OCF,OCF/PAT,ROE,ROCE,D/E,Asset Turnover,FR_PBIDTM (%),FR_PATM (%),FR_Dividend Pay Out Ratio(%),Free Float,Ev/EBITDA,M/Sales\\r\\n3I Infotech Ltd.,2448.54,489.82,293.92,342.23,1.16,25.77,13.29,1.93,0.63,21.30,10.86,9.75,49.18,6.28,0.49\\r\\n3M India Ltd.,1086.86,138.45,92.84,105.97,1.14,23.55,35.88,0.00,2.08,14.17,8.31,0.00,14.56,17.49,2.32\\r\\nABB India Ltd.,6237.20,547.68,354.64,354.49,1.00,15.71,25.33,0.00,1.18,9.55,5.46,11.95,25.46,20.56,2.38\\r\\nAccelya Solutions India Ltd.,165.92,39.91,26.03,28.08,1.08,24.02,25.64,0.04,1.11,24.76,15.92,10.61,28.97,1.75,0.57\\r\\nAegis Logistics Ltd.,305.33,72.21,43.03,32.77,0.76,24.55,22.50,0.69,0.83,25.93,14.09,25.08,16.72,5.48,0.92\\r\\nAffle (India) Ltd.,5.52,0.21,0.06,#N/A,#N/A,0.00,1.95,-0.06,0.97,3.78,1.17,0.00,#N/A,0.00,0.00\\r\\nAgro Tech Foods Ltd.,649.57,25.84,25.14,13.96,0.56,17.92,23.85,0.00,2.64,5.62,3.87,14.54,20.79,15.28,0.65\\r\\nAkzo Nobel India Ltd.,938.60,116.30,159.30,110.80,0.70,16.25,20.52,0.00,0.82,19.96,14.30,36.96,15.80,10.16,2.31\\r\\nAllsec Technologies Ltd.,134.75,-6.95,-10.10,-7.01,0.69,-7.87,-7.32,0.02,0.90,2.79,-7.50,0.00,19.09,14.53,0.48\\r\\nAmbuja Cements Ltd.,7037.43,1865.67,1216.84,2126.39,1.75,20.06,28.99,0.03,0.93,27.48,15.76,30.05,30.08,7.10,2.30\\r\\nAndhra Paper Ltd.,649.29,144.29,54.19,120.84,2.23,11.79,9.85,0.98,0.57,22.86,8.09,6.04,13.00,6.02,0.35\\r\\nAsahi India Glass Ltd.,1293.23,228.11,1.79,113.29,63.29,0.60,7.47,7.53,0.73,17.77,0.08,0.00,32.42,13.59,0.75\\r\\nAsian Hotels (East) Ltd.,41.22,17.70,14.74,12.18,0.83,3.95,5.27,0.00,0.10,54.57,35.76,23.20,#N/A,0.00,0.00\\r\\nAsian Hotels (North) Ltd.,145.02,52.04,26.88,55.37,2.06,4.33,5.43,0.26,0.09,36.26,18.52,21.24,18.52,4.06,1.67\\r\\nAsian Hotels (West) Ltd.,60.18,18.90,10.04,3.02,0.30,6.34,6.54,0.45,0.23,32.39,16.67,34.17,#N/A,0.00,0.00\\r\\nAsian Oilfield Services Ltd.,20.17,2.49,-0.90,1.29,-1.43,-1.02,-0.23,0.00,0.19,16.67,-4.45,0.00,5.45,5.49,1.12\\r\\nAstrazeneca Pharma India Ltd.,396.69,89.04,57.62,32.57,0.57,44.21,54.79,0.00,1.57,23.37,14.23,43.39,10.00,18.49,5.39\\r\\nBanco Products (India) Ltd.,461.18,105.84,78.60,49.29,0.63,25.41,24.97,0.31,0.92,23.03,16.18,18.20,22.37,5.97,1.33\\r\\nBASF India Ltd.,1626.99,171.89,96.07,45.95,0.48,15.93,24.80,0.00,1.75,10.44,5.58,33.95,21.82,8.07,0.69\\r\\nBata India Ltd.,1092.39,122.25,62.58,100.27,1.60,22.75,33.75,0.10,1.70,12.01,5.62,30.81,24.76,10.28,1.09\\r\\nBayer CropScience Ltd.,1724.11,218.02,127.25,82.36,0.65,25.18,35.85,0.20,1.32,13.65,7.11,12.42,19.36,7.31,1.05\\r\\nBilcare Ltd.,1047.83,241.93,116.95,72.89,0.62,17.75,14.39,0.71,0.62,24.80,11.16,4.85,22.94,7.49,0.84\\r\\nBlack Rose Industries  Ltd.,51.48,3.86,3.26,4.77,1.46,42.09,35.05,1.05,1.70,10.70,6.34,0.00,16.98,5.56,0.22\\r\\nBlue Dart Express Ltd.,907.54,104.33,61.19,38.18,0.62,14.39,22.20,0.00,1.52,12.35,6.72,3.88,6.44,10.09,1.40\\r\\nBosch Ltd.,4809.53,626.99,590.65,897.56,1.52,18.23,22.61,0.08,1.01,21.60,11.62,15.95,14.21,12.36,2.78\\r\\nCairn India Ltd. (Amalgamated),1623.03,634.34,1051.11,109.69,0.10,3.17,2.78,0.10,0.04,64.20,64.76,0.00,20.22,50.67,49.56\\r\\nCapital First Ltd. - (Amalgamated),238.70,137.90,59.27,-926.31,-15.63,8.72,9.37,1.70,0.15,64.17,24.83,10.72,15.92,84.29,7.08\\r\\nCastrol India Ltd.,2318.19,575.36,381.06,568.45,1.49,78.52,120.05,0.00,2.67,22.17,13.82,81.12,22.87,10.79,2.71\\r\\nClariant Chemicals (India) Ltd.,924.33,172.37,107.61,170.35,1.58,32.37,48.83,0.01,1.76,21.28,11.02,61.94,32.94,6.06,1.00\\r\\nCMI FPE Ltd.,387.22,36.54,27.29,72.10,2.64,28.12,37.63,0.00,1.10,13.07,6.82,18.10,23.03,6.30,0.87\\r\\nColgate-Palmolive (India) Ltd.,1962.46,436.87,434.10,404.00,0.93,159.71,180.94,0.01,2.45,26.30,21.52,62.66,36.30,21.83,5.02\\r\\nCreditAccess Grameen Ltd.,53.55,24.75,0.95,#N/A,#N/A,2.90,8.23,7.21,0.17,46.68,1.77,0.00,#N/A,0.00,0.00\\r\\nCRISIL Ltd.,537.27,199.31,160.78,174.19,1.08,40.64,52.43,0.00,0.95,41.38,29.92,44.94,21.25,13.00,5.50\\r\\nCSB Bank Ltd.,577.96,-62.75,1.65,-225.84,-136.54,0.47,4.22,0.27,0.00,1.33,0.29,0.00,#N/A,0.00,0.00\\r\\nCummins India Ltd.,2844.87,527.29,443.87,575.94,1.30,30.04,41.04,0.01,1.35,21.43,14.65,53.53,23.10,10.58,1.94\\r\\nDabur India Ltd.,3390.47,623.19,501.27,498.90,1.00,58.86,57.72,0.20,1.75,19.66,14.65,34.62,21.46,21.50,3.98\\r\\nDCB Bank Ltd.,458.97,-180.26,-78.45,-453.86,5.79,-14.58,-3.57,0.93,0.00,10.52,-17.09,0.00,53.01,21.62,1.18\\r\\nDe Nora India Ltd.,13.22,-0.29,0.14,3.70,26.75,0.53,5.11,0.05,0.42,14.98,1.03,0.00,33.42,26.82,2.52\\r\\nDenso India Ltd.,736.33,35.58,18.89,41.48,2.20,9.39,13.66,0.05,1.82,5.56,2.37,29.52,16.97,3.30,0.33\\r\\nDIC India Ltd.,504.35,41.88,22.07,34.90,1.58,10.85,15.23,0.20,1.40,8.63,4.05,16.64,23.26,4.24,0.31\\r\\nDisa India Ltd.,71.29,14.75,9.86,10.90,1.11,27.74,41.32,0.01,1.17,22.97,12.86,0.00,13.72,14.51,3.43\\r\\nDixon Technologies (India) Ltd.,642.50,16.06,15.10,#N/A,#N/A,21.32,19.07,0.97,2.99,4.37,2.35,6.16,#N/A,0.00,0.00\\r\\nD-Link (India) Ltd.,132.79,6.27,7.19,13.12,1.83,11.09,15.52,0.00,1.56,8.21,5.41,41.75,29.16,11.49,0.67\\r\\nElantas Beck India Ltd.,195.19,42.88,31.62,40.43,1.28,25.76,37.58,0.00,1.42,23.65,15.01,11.28,11.45,6.77,1.57\\r\\nEndurance Technologies Ltd.,2345.88,259.22,3.57,277.52,77.76,-0.53,8.57,3.57,1.25,13.03,-0.06,0.00,#N/A,0.00,0.00\\r\\nEnkei Wheels (India) Ltd.,166.70,12.34,-9.40,0.00,0.00,-1304.27,-1.98,121.66,0.89,7.08,-5.20,0.00,#N/A,0.00,0.00\\r\\nEros International Media Ltd.,640.88,113.04,82.11,329.72,4.02,41.91,30.29,0.92,0.60,20.19,12.89,0.00,#N/A,0.00,0.00\\r\\nEsab India Ltd.,420.63,100.78,66.18,72.04,1.09,43.51,66.88,0.00,2.11,24.19,14.63,46.52,30.37,6.11,1.61\\r\\nEster Industries Ltd.,395.37,60.71,27.85,45.98,1.65,18.23,23.11,0.32,1.56,14.68,6.61,22.58,13.85,2.25,0.31\\r\\nExpleo Solutions Ltd.,82.86,9.55,8.23,15.24,1.85,14.18,15.89,0.00,1.13,12.68,9.94,12.21,34.04,15.99,3.38\\r\\nFederal-Mogul Goetze (India) Ltd.,785.36,133.50,58.76,146.16,2.49,19.93,21.48,0.27,1.18,18.27,7.72,3.81,16.19,6.79,0.78\\r\\nFinolex Industries Ltd.,1454.93,262.80,132.32,310.98,2.35,24.34,16.14,1.42,0.79,17.72,8.31,28.12,46.81,10.08,0.44\\r\\nFoseco India Ltd.,125.34,19.46,12.51,21.29,1.70,22.08,28.28,0.19,1.42,16.95,9.35,45.96,13.52,8.72,1.62\\r\\nGE Power India Ltd.,2041.38,250.19,167.48,355.71,2.12,37.71,56.01,0.00,0.70,13.98,8.05,40.02,22.07,12.33,1.48\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,1921.50,310.59,232.78,399.99,1.72,27.95,42.96,0.00,1.09,19.75,11.49,32.52,33.71,10.86,2.68\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,1907.77,583.10,507.86,511.51,1.01,29.77,45.16,0.00,0.46,39.88,25.66,50.78,33.68,15.22,7.04\\r\\nGMM Pfaudler Ltd.,193.75,15.24,9.47,7.91,0.84,10.36,17.50,0.00,1.18,9.78,4.64,43.22,21.35,5.00,0.59\\r\\nGokaldas Exports Ltd.,1072.39,-21.70,-1.82,82.42,-45.22,-0.40,3.83,0.75,1.15,6.60,-0.17,0.00,5.09,10.09,0.40\\r\\nGoodricke Group Ltd.,371.18,51.35,41.94,56.76,1.35,44.16,49.95,0.08,1.24,17.34,11.27,20.60,17.40,6.84,0.87\\r\\nGoodyear India Ltd.,1015.10,122.75,73.09,146.41,2.00,39.64,62.54,0.00,2.51,11.97,6.84,22.09,23.50,3.26,0.42\\r\\nGP Petroleums Ltd.,279.66,-9.57,-6.12,-10.36,1.69,-5.54,0.69,0.00,1.24,0.78,-1.93,-0.72,2.20,6.15,0.38\\r\\nGrindwell Norton Ltd.,702.22,121.60,86.36,103.57,1.20,26.28,37.59,0.07,1.04,19.47,11.55,38.46,26.94,7.26,1.35\\r\\nGujarat Gas Company Ltd. - (Amalgamation),1419.67,279.51,174.17,178.16,1.02,23.77,28.97,0.20,0.83,21.24,12.14,59.28,21.11,9.48,1.93\\r\\nGulf Oil Lubricants India Ltd.,0.00,0.00,0.00,0.00,1.91,2.44,2.44,0.00,0.00,0.00,0.00,0.00,#N/A,0.00,0.00\\r\\nHeidelberg Cement India Ltd.,936.39,159.50,134.04,214.64,1.60,22.19,27.23,0.00,1.06,19.70,12.89,0.00,19.67,2.87,0.98\\r\\nHella India Lighting Ltd.,36.32,-0.70,-1.70,1.01,-0.59,0.00,1.16,1.98,1.11,2.22,-4.31,0.00,16.90,0.28,1.65\\r\\nHexaware Technologies Ltd.,1038.56,127.61,134.18,151.08,1.13,17.79,19.01,0.02,0.96,16.78,12.92,14.99,18.88,3.78,0.90\\r\\nHinduja Foundries Ltd. - (Amalgamated),391.54,48.56,0.35,20.54,59.34,0.25,6.73,2.75,0.49,13.93,0.08,0.00,11.22,32.54,0.72\\r\\nHindustan Unilever Ltd.,17764.27,2524.74,2156.63,3479.57,1.61,87.76,103.92,0.00,2.12,15.82,11.40,67.62,38.62,23.54,4.04\\r\\nHindustan Zinc Ltd.,8016.97,4670.08,4041.41,4077.24,1.01,24.88,31.08,0.00,0.47,63.91,47.90,6.27,5.54,8.93,6.16\\r\\nHonda Siel Power Products Ltd.,308.41,38.54,12.69,24.51,1.93,6.40,10.08,0.00,0.94,14.71,3.93,31.97,27.44,5.78,1.05\\r\\nHoneywell Automation India Ltd.,1173.07,187.66,132.79,159.91,1.20,35.18,47.62,0.00,1.80,16.28,11.12,6.66,16.83,8.63,1.41\\r\\nHuhtamaki PPL Ltd.,577.69,71.21,37.38,66.76,1.79,14.89,17.61,0.09,1.43,13.07,5.97,50.31,29.14,4.76,0.57\\r\\nIndian Hume Pipe Company Ltd.,560.44,77.64,28.57,36.36,1.27,16.20,19.73,1.10,0.98,13.49,4.79,16.96,28.34,6.97,0.44\\r\\nIndostar Capital Finance Ltd.,0.07,0.00,0.00,#N/A,#N/A,0.07,0.10,0.00,0.03,3.14,2.17,0.00,#N/A,0.00,0.00\\r\\nINEOS Styrolution India Ltd.,559.13,86.26,48.99,39.59,0.81,19.48,30.30,0.00,1.16,14.96,8.08,12.56,16.67,3.94,0.48\\r\\nInfinite Computer Solutions (India) Ltd.,664.30,114.73,79.17,50.43,0.64,35.04,40.22,0.15,1.28,17.56,12.64,0.00,18.18,13.59,1.80\\r\\nIngersoll-Rand (India) Ltd.,356.56,25.80,47.40,37.48,0.79,6.24,10.03,0.00,0.34,22.02,12.58,39.96,21.70,5.56,2.72\\r\\nITC Ltd.,19135.87,6342.38,4168.18,4457.26,1.07,29.69,44.22,0.01,1.26,25.27,15.24,91.60,32.36,15.38,5.29\\r\\nITD Cementation India Ltd.,1470.20,137.86,5.41,46.79,8.66,1.54,12.32,1.41,1.08,10.15,0.37,21.30,25.61,5.02,0.14\\r\\nJagatjit Industries Ltd.,677.39,19.39,6.46,35.64,5.52,3.67,8.27,0.90,1.30,5.11,0.70,0.00,7.76,8.88,0.42\\r\\nJagran Prakashan Ltd.,941.89,282.28,175.90,210.04,1.19,30.01,37.04,0.20,0.85,33.61,18.68,59.92,19.72,13.06,3.51\\r\\nJash Engineering Ltd.,63.65,11.94,6.40,#N/A,#N/A,33.77,27.61,1.02,1.24,18.35,9.48,7.22,#N/A,0.00,0.00\\r\\nJayant Agro-Organics Ltd.,904.01,40.40,12.47,-78.05,-6.26,13.95,14.40,2.50,2.83,4.57,1.38,18.05,15.94,5.59,0.11\\r\\nJet Airways (India) Ltd.,12027.98,1213.95,-420.18,1668.84,-3.97,-337.01,4.04,-168.81,0.55,11.84,-3.49,0.00,11.37,0.05,0.24\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,640.90,58.48,46.14,37.08,0.80,36.74,32.36,0.41,1.75,10.25,6.73,7.46,28.67,6.05,0.49\\r\\nKansai Nerolac Paints Ltd.,1706.38,263.69,165.50,150.46,0.91,23.19,29.41,0.14,1.59,15.30,8.92,24.42,14.71,12.83,1.62\\r\\nKingfa Science & Technology (India) Ltd.,109.22,6.76,-0.02,5.32,-350.03,-0.06,7.55,1.45,1.52,6.00,-0.01,0.00,20.07,64.56,0.22\\r\\nKokuyo Camlin Ltd.,330.87,26.40,11.64,18.93,1.63,33.87,25.43,0.69,2.14,7.96,3.41,25.89,38.69,19.01,0.65\\r\\nLemon Tree Hotels Ltd.,72.36,21.92,26.86,44.31,1.65,6.92,9.62,0.51,0.12,94.04,37.13,0.00,#N/A,0.00,0.00\\r\\nLinde India Ltd.,804.06,124.40,53.24,92.83,1.74,5.09,8.20,0.11,0.52,16.68,6.37,24.03,10.52,12.53,2.17\\r\\nMac Charles (India) Ltd.,42.04,8.61,25.10,37.06,1.48,21.52,27.19,0.02,0.28,86.52,59.71,28.71,22.19,10.87,4.60\\r\\nMahanagar Gas Ltd.,772.81,277.38,161.77,209.76,1.30,22.23,33.11,0.01,0.85,34.46,18.99,30.38,#N/A,0.00,0.00\\r\\nMahindra CIE Automotive Ltd.,1327.42,-8.79,-183.78,43.70,-0.24,-24.23,-11.27,0.84,0.70,-0.08,-13.59,0.00,17.50,9.45,0.27\\r\\nMaruti Suzuki India Ltd.,29591.50,3503.40,2624.70,3168.10,1.21,23.40,31.64,0.07,2.10,14.00,7.84,6.61,24.84,14.88,1.84\\r\\nMonsanto India Ltd. - (Amalgamated),410.23,56.37,53.82,64.20,1.19,16.14,17.62,0.00,0.79,16.75,12.83,28.06,17.35,22.29,3.63\\r\\nMorganite Crucible (India) Ltd.,65.68,14.77,7.23,9.91,1.37,34.79,31.64,0.57,0.93,23.28,11.11,0.00,25.00,4.85,0.58\\r\\nMoschip Technologies Ltd.,25.49,-6.39,-13.21,-3.63,0.27,-45.05,-26.20,0.71,0.50,-24.20,-51.84,0.00,61.68,0.00,1.59\\r\\nMPS Ltd.,164.20,11.18,4.72,8.63,1.83,5.61,6.63,0.05,1.18,9.07,2.87,35.66,28.23,3.81,0.52\\r\\nMultibase India Ltd.,33.39,3.94,2.69,6.44,2.39,14.94,18.67,0.05,1.31,12.03,7.57,0.00,23.02,13.52,1.08\\r\\nMusic Broadcast Ltd.,80.75,-3.97,-34.24,-1.03,0.03,0.00,-14.07,-5.05,0.39,-0.27,-42.41,0.00,#N/A,0.00,0.00\\r\\nNestle India Ltd.,5129.38,991.85,655.00,927.91,1.42,124.22,174.16,0.00,2.80,19.72,12.54,71.39,31.50,21.37,4.53\\r\\nNewgen Software Technologies Ltd.,101.58,8.52,1.84,3.06,1.67,2.72,7.60,0.02,1.16,8.54,1.81,24.93,#N/A,0.00,0.00\\r\\nNIIT Ltd.,1199.35,154.43,70.23,20.54,0.29,7.75,10.34,0.80,0.90,13.86,3.17,32.91,35.10,8.83,0.87\\r\\nNirlon Ltd.,54.22,18.44,-18.34,80.95,-4.41,-34.10,0.87,11.28,0.08,43.58,-32.56,0.00,45.34,44.03,12.74\\r\\nNovartis India Ltd.,624.10,103.19,115.99,97.47,0.84,20.93,32.49,0.00,0.88,29.17,18.55,27.55,22.38,8.46,2.58\\r\\nOracle Financial Services Software Ltd.,2873.97,850.15,773.66,713.84,0.92,19.86,22.93,0.00,0.60,32.79,26.93,0.00,19.53,14.17,5.01\\r\\nOrient Green Power Company Ltd.,55.07,-1.67,-12.77,-129.85,10.17,-4.75,-0.40,1.09,0.08,11.75,-24.88,0.00,#N/A,0.00,0.00\\r\\nPage Industries Ltd.,346.74,65.23,39.61,29.76,0.75,42.63,44.34,0.55,1.61,20.66,11.42,59.13,10.55,12.09,2.55\\r\\nPanasonic Appliances India Company Ltd.,135.10,6.23,1.93,2.17,1.12,10.57,18.30,0.35,2.94,4.41,1.34,44.31,21.43,9.57,0.42\\r\\nPanasonic Carbon India Company Ltd.,29.04,6.43,6.69,4.77,0.71,12.44,18.97,0.00,0.44,34.94,21.50,50.21,25.97,1.21,2.01\\r\\nPhoenix Lamps Ltd. - (Amalgamated),436.94,9.30,-19.98,28.30,-1.42,-15.14,-1.22,0.98,1.42,2.03,-4.20,0.00,23.66,10.84,0.56\\r\\nPolycab India Ltd.,2513.92,126.20,113.96,0.00,0.00,15.85,7.54,1.24,1.31,5.02,4.53,0.00,#N/A,0.00,0.00\\r\\nProcter & Gamble Health Ltd.,473.11,60.78,65.48,41.74,0.64,14.26,21.00,0.00,0.86,21.39,13.47,50.70,29.87,6.32,1.79\\r\\nPuravankara Ltd.,478.36,169.28,145.32,55.53,0.38,9.12,7.16,0.59,0.18,36.33,27.18,14.69,4.47,23.81,5.05\\r\\nR Systems International Ltd.,327.53,16.99,7.72,43.26,5.60,4.55,6.72,0.01,1.33,7.64,2.36,38.29,33.99,1.03,0.30\\r\\nRanbaxy Laboratories Ltd.- (Amalgamation),7594.56,712.44,296.49,-162.13,-0.55,7.53,13.08,0.87,0.64,17.71,4.08,0.00,15.56,4.04,2.02\\r\\nRhodia Specialty Chemicals India Ltd.,95.13,-10.04,-20.57,-24.01,1.17,-35.17,-28.34,0.64,1.00,-5.33,-19.85,0.00,16.22,2.56,0.38\\r\\nRicoh India Ltd.,256.53,28.69,17.24,35.39,2.05,16.16,26.86,0.00,1.31,12.32,6.72,0.00,25.14,2.65,0.38\\r\\nSaint-Gobain Sekurit India Ltd.,84.11,12.46,5.04,18.86,3.74,9.48,9.23,0.19,1.12,14.33,5.53,0.00,14.23,19.41,2.41\\r\\nSanofi India Ltd.,974.41,147.75,157.41,137.15,0.87,18.17,27.88,0.00,0.89,26.00,15.81,29.26,17.08,9.56,3.24\\r\\nSaurashtra Cement Ltd.,574.34,87.44,19.97,133.72,6.70,123.66,26.73,6.63,1.31,17.55,3.22,0.00,15.13,5.50,0.29\\r\\nSchaeffler India Ltd.,797.69,90.51,65.54,163.36,2.49,15.20,23.26,0.00,1.46,14.24,7.75,11.41,17.30,4.89,1.02\\r\\nSeamec Ltd.,424.84,223.74,203.91,217.80,1.07,48.81,49.87,0.00,0.86,56.46,48.00,4.99,20.11,2.49,1.60\\r\\nShreyas Shipping & Logistics Ltd.,153.99,-0.22,-15.71,7.83,-0.50,-11.23,-4.35,0.61,0.58,1.28,-10.20,0.00,26.71,5.47,0.25\\r\\nSKF India Ltd.,1570.93,146.56,94.25,227.49,2.41,13.86,21.15,0.00,1.64,10.38,5.66,22.38,25.48,7.60,0.97\\r\\nSobha Ltd.,1129.87,246.33,134.10,332.12,2.48,9.91,7.03,0.87,0.30,22.08,12.20,18.28,17.25,13.63,2.14\\r\\nSolvay Pharma India Ltd. (Amalgamated),241.73,60.20,40.03,69.67,1.74,33.45,50.69,0.00,1.53,25.78,16.13,41.00,22.67,10.89,2.89\\r\\nSterlite Industries (India) Ltd.(Merged),24500.60,6095.79,3743.74,4181.68,1.12,17.28,17.59,0.25,0.48,31.05,21.04,8.42,26.94,9.17,2.72\\r\\nSterlite Technologies Ltd.,2431.63,380.72,245.84,347.13,1.41,32.77,29.71,0.41,1.28,16.18,9.85,7.23,27.25,8.92,0.76\\r\\nStovec Industries Ltd.,46.42,5.74,6.55,6.62,1.01,22.64,34.15,0.00,1.03,23.49,13.31,33.47,29.00,2.45,1.05\\r\\nSumitomo Chemical India Ltd.,230.67,-34.42,-45.22,#N/A,#N/A,-58.77,-35.97,0.47,1.07,-14.02,-19.60,0.00,#N/A,0.00,0.00\\r\\nTake Solutions Ltd.,351.77,34.46,32.43,18.26,0.56,9.89,11.24,0.09,0.68,13.96,10.32,7.40,17.09,7.24,1.27\\r\\nThomas Cook (India) Ltd.,266.29,60.48,25.01,81.04,3.24,11.95,12.96,0.56,0.39,27.66,9.39,31.81,9.07,15.78,4.51\\r\\nThyrocare Technologies Ltd.,58.34,27.79,23.14,32.26,1.39,46.64,66.88,0.00,0.78,59.30,39.66,88.77,#N/A,0.00,0.00\\r\\nTimex Group India Ltd.,135.59,3.83,4.62,11.53,2.49,25.03,9.90,0.00,1.11,6.16,3.36,0.00,25.07,27.87,1.43\\r\\nTimken India Ltd.,316.06,41.17,32.53,58.38,1.79,10.39,14.47,0.00,0.65,16.43,9.60,0.00,16.82,10.00,1.92\\r\\nUnited Spirits Ltd.,6362.31,717.00,-22.71,1591.41,-70.08,-0.77,8.01,1.57,0.96,7.38,-0.21,-138.28,45.76,37.79,2.21\\r\\nVardhman Acrylics Ltd.,270.48,64.56,43.44,44.00,1.01,26.02,33.98,0.01,1.27,23.94,15.15,0.00,40.51,0.00,0.00\\r\\nVedanta Ltd.,6650.05,3093.54,2629.13,2571.32,0.98,41.78,47.96,0.25,0.65,53.40,39.42,10.27,27.92,9.24,4.92\\r\\nVesuvius India Ltd.,361.49,62.29,37.38,72.67,1.94,18.78,28.53,0.00,0.99,18.10,9.74,20.36,21.66,5.24,0.96\\r\\nVST Industries Ltd.,471.47,82.47,62.01,52.50,0.85,25.59,35.30,0.00,2.16,10.30,5.51,74.71,19.01,7.27,1.76\\r\\nWabco India Ltd.,591.26,117.46,78.19,53.23,0.68,33.42,45.31,0.03,1.81,21.17,12.19,6.06,16.07,11.43,1.87\\r\\nWhirlpool Of India Ltd.,2214.88,230.97,145.02,188.08,1.30,88.70,58.07,0.00,2.65,9.52,5.41,0.00,22.65,6.41,0.67\\r\\nWintac Ltd.,20.79,3.73,1.14,2.30,2.02,7.16,8.89,0.73,0.53,20.02,5.25,0.00,30.81,12.04,0.60\\r\\nXchanging Solutions Ltd.,1192.85,40.06,-372.19,-30.30,0.08,0.00,-115.38,-1.82,1.53,4.29,-31.20,0.00,6.05,128.12,0.70\\r\\nZim Laboratories Ltd.,98.13,13.17,6.50,#N/A,#N/A,31.18,29.30,1.37,1.29,15.28,6.49,0.00,#N/A,0.00,0.00'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qeLkeLYRPW7N",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fYHGizAaPW7U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = pd.read_csv('dataset1.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uVj7NWT2PW7Y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 288
        },
        "outputId": "9ef90f25-562b-414d-818a-9536621fc005"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": null,
      "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>Company Name</th>\n",
              "      <th>PL_Net Sales</th>\n",
              "      <th>PL_Operating Profit (Excl OI)</th>\n",
              "      <th>PL_Consolidated PAT</th>\n",
              "      <th>OCF</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>D/E</th>\n",
              "      <th>Asset Turnover</th>\n",
              "      <th>FR_PBIDTM (%)</th>\n",
              "      <th>FR_PATM (%)</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>2448.54</td>\n",
              "      <td>489.82</td>\n",
              "      <td>293.92</td>\n",
              "      <td>342.23</td>\n",
              "      <td>1.16</td>\n",
              "      <td>25.77</td>\n",
              "      <td>13.29</td>\n",
              "      <td>1.93</td>\n",
              "      <td>0.63</td>\n",
              "      <td>21.30</td>\n",
              "      <td>10.86</td>\n",
              "      <td>9.75</td>\n",
              "      <td>49.18</td>\n",
              "      <td>6.28</td>\n",
              "      <td>0.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1086.86</td>\n",
              "      <td>138.45</td>\n",
              "      <td>92.84</td>\n",
              "      <td>105.97</td>\n",
              "      <td>1.14</td>\n",
              "      <td>23.55</td>\n",
              "      <td>35.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.08</td>\n",
              "      <td>14.17</td>\n",
              "      <td>8.31</td>\n",
              "      <td>0.00</td>\n",
              "      <td>14.56</td>\n",
              "      <td>17.49</td>\n",
              "      <td>2.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>6237.20</td>\n",
              "      <td>547.68</td>\n",
              "      <td>354.64</td>\n",
              "      <td>354.49</td>\n",
              "      <td>1.00</td>\n",
              "      <td>15.71</td>\n",
              "      <td>25.33</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.18</td>\n",
              "      <td>9.55</td>\n",
              "      <td>5.46</td>\n",
              "      <td>11.95</td>\n",
              "      <td>25.46</td>\n",
              "      <td>20.56</td>\n",
              "      <td>2.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Accelya Solutions India Ltd.</td>\n",
              "      <td>165.92</td>\n",
              "      <td>39.91</td>\n",
              "      <td>26.03</td>\n",
              "      <td>28.08</td>\n",
              "      <td>1.08</td>\n",
              "      <td>24.02</td>\n",
              "      <td>25.64</td>\n",
              "      <td>0.04</td>\n",
              "      <td>1.11</td>\n",
              "      <td>24.76</td>\n",
              "      <td>15.92</td>\n",
              "      <td>10.61</td>\n",
              "      <td>28.97</td>\n",
              "      <td>1.75</td>\n",
              "      <td>0.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Aegis Logistics Ltd.</td>\n",
              "      <td>305.33</td>\n",
              "      <td>72.21</td>\n",
              "      <td>43.03</td>\n",
              "      <td>32.77</td>\n",
              "      <td>0.76</td>\n",
              "      <td>24.55</td>\n",
              "      <td>22.50</td>\n",
              "      <td>0.69</td>\n",
              "      <td>0.83</td>\n",
              "      <td>25.93</td>\n",
              "      <td>14.09</td>\n",
              "      <td>25.08</td>\n",
              "      <td>16.72</td>\n",
              "      <td>5.48</td>\n",
              "      <td>0.92</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   Company Name  PL_Net Sales  ...  Ev/EBITDA  M/Sales\n",
              "0              3I Infotech Ltd.       2448.54  ...       6.28     0.49\n",
              "1                 3M India Ltd.       1086.86  ...      17.49     2.32\n",
              "2                ABB India Ltd.       6237.20  ...      20.56     2.38\n",
              "3  Accelya Solutions India Ltd.        165.92  ...       1.75     0.57\n",
              "4          Aegis Logistics Ltd.        305.33  ...       5.48     0.92\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Qh4N7djPW7d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test = data.iloc[:,:]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bKApmFNkPW7h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = data.replace( ' -   ', np.nan)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9YSg1kfBPW7k",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#data.drop(labels='Company Name', axis=1, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qLPgieKYPW7o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data.iloc[:,1:] = data.iloc[:,1:].astype('float64')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6baN_MMKPW7s",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data.fillna(data.mean(), inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vJfzFUelXRIQ",
        "colab_type": "text"
      },
      "source": [
        "# **Ev/EBITDA Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bBWjhlu7PW70",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data1 = data.iloc[:,:-1 ]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WQ6KM6YFPW73",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "outputId": "0bf961ca-9396-440c-d6d6-82dd6bfd0f39"
      },
      "source": [
        "data1.head()\n"
      ],
      "execution_count": null,
      "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>Company Name</th>\n",
              "      <th>PL_Net Sales</th>\n",
              "      <th>PL_Operating Profit (Excl OI)</th>\n",
              "      <th>PL_Consolidated PAT</th>\n",
              "      <th>OCF</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>D/E</th>\n",
              "      <th>Asset Turnover</th>\n",
              "      <th>FR_PBIDTM (%)</th>\n",
              "      <th>FR_PATM (%)</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>2448.54</td>\n",
              "      <td>489.82</td>\n",
              "      <td>293.92</td>\n",
              "      <td>342.23</td>\n",
              "      <td>1.16</td>\n",
              "      <td>25.77</td>\n",
              "      <td>13.29</td>\n",
              "      <td>1.93</td>\n",
              "      <td>0.63</td>\n",
              "      <td>21.30</td>\n",
              "      <td>10.86</td>\n",
              "      <td>9.75</td>\n",
              "      <td>49.18</td>\n",
              "      <td>6.28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1086.86</td>\n",
              "      <td>138.45</td>\n",
              "      <td>92.84</td>\n",
              "      <td>105.97</td>\n",
              "      <td>1.14</td>\n",
              "      <td>23.55</td>\n",
              "      <td>35.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.08</td>\n",
              "      <td>14.17</td>\n",
              "      <td>8.31</td>\n",
              "      <td>0.00</td>\n",
              "      <td>14.56</td>\n",
              "      <td>17.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>6237.20</td>\n",
              "      <td>547.68</td>\n",
              "      <td>354.64</td>\n",
              "      <td>354.49</td>\n",
              "      <td>1.00</td>\n",
              "      <td>15.71</td>\n",
              "      <td>25.33</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.18</td>\n",
              "      <td>9.55</td>\n",
              "      <td>5.46</td>\n",
              "      <td>11.95</td>\n",
              "      <td>25.46</td>\n",
              "      <td>20.56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Accelya Solutions India Ltd.</td>\n",
              "      <td>165.92</td>\n",
              "      <td>39.91</td>\n",
              "      <td>26.03</td>\n",
              "      <td>28.08</td>\n",
              "      <td>1.08</td>\n",
              "      <td>24.02</td>\n",
              "      <td>25.64</td>\n",
              "      <td>0.04</td>\n",
              "      <td>1.11</td>\n",
              "      <td>24.76</td>\n",
              "      <td>15.92</td>\n",
              "      <td>10.61</td>\n",
              "      <td>28.97</td>\n",
              "      <td>1.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Aegis Logistics Ltd.</td>\n",
              "      <td>305.33</td>\n",
              "      <td>72.21</td>\n",
              "      <td>43.03</td>\n",
              "      <td>32.77</td>\n",
              "      <td>0.76</td>\n",
              "      <td>24.55</td>\n",
              "      <td>22.50</td>\n",
              "      <td>0.69</td>\n",
              "      <td>0.83</td>\n",
              "      <td>25.93</td>\n",
              "      <td>14.09</td>\n",
              "      <td>25.08</td>\n",
              "      <td>16.72</td>\n",
              "      <td>5.48</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   Company Name  PL_Net Sales  ...  Free Float  Ev/EBITDA\n",
              "0              3I Infotech Ltd.       2448.54  ...       49.18       6.28\n",
              "1                 3M India Ltd.       1086.86  ...       14.56      17.49\n",
              "2                ABB India Ltd.       6237.20  ...       25.46      20.56\n",
              "3  Accelya Solutions India Ltd.        165.92  ...       28.97       1.75\n",
              "4          Aegis Logistics Ltd.        305.33  ...       16.72       5.48\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5qEKJb_PW7_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "393f1cbb-78b8-4ef6-905a-fc3251ee241a"
      },
      "source": [
        "plt.figure(figsize=(16,16))\n",
        "cor = data1.corr()\n",
        "sns.heatmap(cor, annot=True, cmap='Greens')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NwpHXXlkPW8F",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "8fe49123-0ce1-4f15-ffe1-c76a9f896bcc"
      },
      "source": [
        "cor_target = abs(cor[\"Ev/EBITDA\"])\n",
        "relevant_features = cor_target[cor_target>0.0666]\n",
        "relevant_features.index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['OCF/PAT', 'ROE', 'ROCE', 'FR_PBIDTM (%)',\n",
              "       'FR_Dividend Pay Out Ratio(%)', 'Ev/EBITDA'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T66rR4ayPW8I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data1[['OCF/PAT', 'ROE', 'ROCE', 'FR_PBIDTM (%)',\n",
        "       'FR_Dividend Pay Out Ratio(%)']], data1['Ev/EBITDA']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UjQO1tDioVcA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "'''from sklearn.preprocessing import StandardScaler\n",
        "sc_X = StandardScaler()\n",
        "X = sc_X.fit_transform(X)'''"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WvL1kqO-PW8W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "if PROVIDE_OWN_INPUT:\n",
        "    X_test =  pd.read_csv('test_data.csv')\n",
        "    X_train,y_train = X,y\n",
        "else:\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2,random_state = 42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9FLpKoHhBL5n",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "outputId": "3f8c857a-cc57-4150-ef4b-5da9cc5234a4"
      },
      "source": [
        "X_train"
      ],
      "execution_count": null,
      "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>OCF/PAT</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>FR_PBIDTM (%)</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>2.49</td>\n",
              "      <td>25.03</td>\n",
              "      <td>9.90</td>\n",
              "      <td>6.16</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>0.00</td>\n",
              "      <td>-1304.27</td>\n",
              "      <td>-1.98</td>\n",
              "      <td>7.08</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>3.74</td>\n",
              "      <td>9.48</td>\n",
              "      <td>9.23</td>\n",
              "      <td>14.33</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>1.49</td>\n",
              "      <td>78.52</td>\n",
              "      <td>120.05</td>\n",
              "      <td>22.17</td>\n",
              "      <td>81.12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.76</td>\n",
              "      <td>24.55</td>\n",
              "      <td>22.50</td>\n",
              "      <td>25.93</td>\n",
              "      <td>25.08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>1.20</td>\n",
              "      <td>35.18</td>\n",
              "      <td>47.62</td>\n",
              "      <td>16.28</td>\n",
              "      <td>6.66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>0.92</td>\n",
              "      <td>19.86</td>\n",
              "      <td>22.93</td>\n",
              "      <td>32.79</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.30</td>\n",
              "      <td>6.34</td>\n",
              "      <td>6.54</td>\n",
              "      <td>32.39</td>\n",
              "      <td>34.17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>1.30</td>\n",
              "      <td>22.23</td>\n",
              "      <td>33.11</td>\n",
              "      <td>34.46</td>\n",
              "      <td>30.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>1.67</td>\n",
              "      <td>2.72</td>\n",
              "      <td>7.60</td>\n",
              "      <td>8.54</td>\n",
              "      <td>24.93</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>117 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     OCF/PAT      ROE    ROCE  FR_PBIDTM (%)  FR_Dividend Pay Out Ratio(%)\n",
              "135     2.49    25.03    9.90           6.16                          0.00\n",
              "45      0.00 -1304.27   -1.98           7.08                          0.00\n",
              "119     3.74     9.48    9.23          14.33                          0.00\n",
              "27      1.49    78.52  120.05          22.17                         81.12\n",
              "4       0.76    24.55   22.50          25.93                         25.08\n",
              "..       ...      ...     ...            ...                           ...\n",
              "71      1.20    35.18   47.62          16.28                          6.66\n",
              "106     0.92    19.86   22.93          32.79                          0.00\n",
              "14      0.30     6.34    6.54          32.39                         34.17\n",
              "92      1.30    22.23   33.11          34.46                         30.38\n",
              "102     1.67     2.72    7.60           8.54                         24.93\n",
              "\n",
              "[117 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6DV23x8gPW8b",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LassoCV\n",
        "import xgboost as xgb\n",
        "from sklearn.linear_model import RidgeCV\n",
        "from sklearn.linear_model import BayesianRidge\n",
        "from sklearn.linear_model import ARDRegression\n",
        "from sklearn.linear_model import ElasticNetCV\n",
        "from sklearn.linear_model import LassoLarsCV\n",
        "from sklearn.svm import SVR\n",
        "l=[LassoCV(cv=5, random_state=0),\n",
        "    xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1, alpha = 10, n_estimators = 500),\n",
        "    RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1],cv=5),\n",
        "    BayesianRidge(compute_score=True),\n",
        "    ARDRegression(),\n",
        "    ElasticNetCV(cv=10, random_state=42),\n",
        "    LassoLarsCV(cv=10),\n",
        "    SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)\n",
        "]\n",
        "reg_name = ['LassoCV', 'XGBRegressor', 'RidgeCV', 'BayesianRidge', 'ARDRegression',\n",
        "            'ElasticNetCV', 'LassoLarsCV', 'SVR',]\n",
        "pred_list = []\n",
        "for i in l:\n",
        "    i.fit(X_train,y_train)\n",
        "    #print(i)\n",
        "    pred_list.append(i.predict(X_test))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qp7kut4HPW8t",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "outputId": "88d04569-15f2-4c9b-e3db-d908bd16071b"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, round(mean_squared_error(y_test.values, p)**0.5,5),))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 16.60832\n",
            " 1 XGBRegressor            19.11226\n",
            " 2 RidgeCV                 16.50376\n",
            " 3 BayesianRidge           16.59281\n",
            " 4 ARDRegression           16.70668\n",
            " 5 ElasticNetCV            16.61595\n",
            " 6 LassoLarsCV             16.60832\n",
            " 7 SVR                     16.58644\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WodSsJbnPW8j",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "outputId": "4637bd27-aaae-40d5-b40e-ae6925eec3b5"
      },
      "source": [
        "if PROVIDE_OWN_INPUT:\n",
        "    plt.plot(range(y_train.shape[0]),y_train,'.r')\n",
        "else:\n",
        "    plt.plot(range(y_test.shape[0]),y_test,'.r')\n",
        "plt.plot([i for i in range(len(pred_list[3]))], pred_list[2])\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f532cf03f98>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HveRXF9Apinu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#data1['PE'].plot.kde()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JQFUM9oXV7hO",
        "colab_type": "text"
      },
      "source": [
        "# **M/Sales Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LhHK5BKsXNWA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data2 = data.iloc[:,: ].drop('Ev/EBITDA', axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0WqC2pY0ZuEh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "outputId": "ae238c15-4467-4862-bc7f-e3f3ffdefd57"
      },
      "source": [
        "data2.head()"
      ],
      "execution_count": null,
      "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>Company Name</th>\n",
              "      <th>PL_Net Sales</th>\n",
              "      <th>PL_Operating Profit (Excl OI)</th>\n",
              "      <th>PL_Consolidated PAT</th>\n",
              "      <th>OCF</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>D/E</th>\n",
              "      <th>Asset Turnover</th>\n",
              "      <th>FR_PBIDTM (%)</th>\n",
              "      <th>FR_PATM (%)</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>2448.54</td>\n",
              "      <td>489.82</td>\n",
              "      <td>293.92</td>\n",
              "      <td>342.23</td>\n",
              "      <td>1.16</td>\n",
              "      <td>25.77</td>\n",
              "      <td>13.29</td>\n",
              "      <td>1.93</td>\n",
              "      <td>0.63</td>\n",
              "      <td>21.30</td>\n",
              "      <td>10.86</td>\n",
              "      <td>9.75</td>\n",
              "      <td>49.18</td>\n",
              "      <td>0.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1086.86</td>\n",
              "      <td>138.45</td>\n",
              "      <td>92.84</td>\n",
              "      <td>105.97</td>\n",
              "      <td>1.14</td>\n",
              "      <td>23.55</td>\n",
              "      <td>35.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.08</td>\n",
              "      <td>14.17</td>\n",
              "      <td>8.31</td>\n",
              "      <td>0.00</td>\n",
              "      <td>14.56</td>\n",
              "      <td>2.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>6237.20</td>\n",
              "      <td>547.68</td>\n",
              "      <td>354.64</td>\n",
              "      <td>354.49</td>\n",
              "      <td>1.00</td>\n",
              "      <td>15.71</td>\n",
              "      <td>25.33</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.18</td>\n",
              "      <td>9.55</td>\n",
              "      <td>5.46</td>\n",
              "      <td>11.95</td>\n",
              "      <td>25.46</td>\n",
              "      <td>2.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Accelya Solutions India Ltd.</td>\n",
              "      <td>165.92</td>\n",
              "      <td>39.91</td>\n",
              "      <td>26.03</td>\n",
              "      <td>28.08</td>\n",
              "      <td>1.08</td>\n",
              "      <td>24.02</td>\n",
              "      <td>25.64</td>\n",
              "      <td>0.04</td>\n",
              "      <td>1.11</td>\n",
              "      <td>24.76</td>\n",
              "      <td>15.92</td>\n",
              "      <td>10.61</td>\n",
              "      <td>28.97</td>\n",
              "      <td>0.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Aegis Logistics Ltd.</td>\n",
              "      <td>305.33</td>\n",
              "      <td>72.21</td>\n",
              "      <td>43.03</td>\n",
              "      <td>32.77</td>\n",
              "      <td>0.76</td>\n",
              "      <td>24.55</td>\n",
              "      <td>22.50</td>\n",
              "      <td>0.69</td>\n",
              "      <td>0.83</td>\n",
              "      <td>25.93</td>\n",
              "      <td>14.09</td>\n",
              "      <td>25.08</td>\n",
              "      <td>16.72</td>\n",
              "      <td>0.92</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   Company Name  PL_Net Sales  ...  Free Float  M/Sales\n",
              "0              3I Infotech Ltd.       2448.54  ...       49.18     0.49\n",
              "1                 3M India Ltd.       1086.86  ...       14.56     2.32\n",
              "2                ABB India Ltd.       6237.20  ...       25.46     2.38\n",
              "3  Accelya Solutions India Ltd.        165.92  ...       28.97     0.57\n",
              "4          Aegis Logistics Ltd.        305.33  ...       16.72     0.92\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QIlTiSHvi6Ew",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "60448dc9-6e2b-4cde-81be-f1d71e2172e0"
      },
      "source": [
        "plt.figure(figsize=(16,16))\n",
        "cor = data2.corr()\n",
        "sns.heatmap(cor, annot=True, cmap='YlGnBu')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yp2ozzLRjVV_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "8f415f3b-ba01-49b3-f943-f8121d068283"
      },
      "source": [
        "cor_target = abs(cor[\"M/Sales\"])\n",
        "relevant_features = cor_target[cor_target>0.15]\n",
        "relevant_features.index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['PL_Operating Profit (Excl OI)', 'PL_Consolidated PAT',\n",
              "       'Asset Turnover', 'FR_PBIDTM (%)', 'FR_PATM (%)', 'M/Sales'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2mnSuhtOkWX5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data2[['PL_Operating Profit (Excl OI)', 'PL_Consolidated PAT',\n",
        "       'Asset Turnover', 'FR_PBIDTM (%)', 'FR_PATM (%)']], data2['M/Sales']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y_nl888OoHeb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "'''from sklearn.preprocessing import StandardScaler\n",
        "sc_X = StandardScaler()\n",
        "X = sc_X.fit_transform(X)'''"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eE1B8yP7mOQK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "if PROVIDE_OWN_INPUT:\n",
        "    X_test =  pd.read_csv('test_data.csv')\n",
        "    X_train,y_train = X,y\n",
        "else:\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2,random_state = 42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WIzQNsgynCjy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LassoCV\n",
        "import xgboost as xgb\n",
        "from sklearn.linear_model import RidgeCV\n",
        "from sklearn.linear_model import BayesianRidge\n",
        "from sklearn.linear_model import ARDRegression\n",
        "from sklearn.linear_model import ElasticNetCV\n",
        "from sklearn.linear_model import LassoLarsCV\n",
        "from sklearn.svm import SVR\n",
        "l=[LassoCV(cv=5, random_state=0),\n",
        "    xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1, alpha = 10, n_estimators = 500),\n",
        "    RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1],cv=5),\n",
        "    BayesianRidge(compute_score=True),\n",
        "    ARDRegression(),\n",
        "    ElasticNetCV(cv=10, random_state=42),\n",
        "    LassoLarsCV(cv=10),\n",
        "    SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)\n",
        "]\n",
        "reg_name = ['LassoCV', 'XGBRegressor', 'RidgeCV', 'BayesianRidge', 'ARDRegression',\n",
        "            'ElasticNetCV', 'LassoLarsCV', 'SVR',]\n",
        "pred_list = []\n",
        "for i in l:\n",
        "    i.fit(X_train,y_train)\n",
        "    #print(i)\n",
        "    pred_list.append(i.predict(X_test))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hrZW8zxVnHVw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "outputId": "8fb45747-7db0-41d3-aaf5-bbfd7a80bca3"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.10f}'.format(i,r, mean_squared_error(y_test.values, p),))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 8.2425980790\n",
            " 1 XGBRegressor            9.0891180246\n",
            " 2 RidgeCV                 16.3175627807\n",
            " 3 BayesianRidge           11.5633568749\n",
            " 4 ARDRegression           13.9154148649\n",
            " 5 ElasticNetCV            8.4956546752\n",
            " 6 LassoLarsCV             8.3297613551\n",
            " 7 SVR                     8.2450242210\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YQCC_uwFnMcP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "outputId": "4d13f604-e40f-43e7-8e9c-e057fb3d7e21"
      },
      "source": [
        "if PROVIDE_OWN_INPUT:\n",
        "    plt.plot(range(y_train.shape[0]),y_train,'.r')\n",
        "else:\n",
        "    plt.plot(range(y_test.shape[0]),y_test,'.r')\n",
        "plt.plot([i for i in range(len(pred_list[3]))], pred_list[2])\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f531ac239e8>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MJCqP5nsF9JW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}