financials from MC analysis and 10yr prediction.ipynb

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      "pygments_lexer": "ipython3",
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    "colab": {
      "name": "Company financials.ipynb",
      "provenance": [],
      "collapsed_sections": []
    }
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  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "yIXR_z-rpGhh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import lxml as lxml\n",
        "import numpy as np\n",
        "import html5lib as ht\n",
        "from pandas.io.html import read_html\n",
        "import matplotlib.pyplot as plt\n",
        "import xlsxwriter\n",
        "import xlrd, xlwt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bNLqjhlVpGhn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pl1 = 'https://www.moneycontrol.com/financials/marutisuzukiindia/results/yearly/MS24#MS24'\n",
        "pl2 = pl1.replace('#','/2#')\n",
        "pl3 = pl1.replace('#','/3#')\n",
        "bl1 = pl1.replace('results/yearly','balance-sheetVI')\n",
        "bl2 = bl1.replace('#','/2#')\n",
        "bl3 = bl1.replace('#','/3#')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lSLRfV9JpGhr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "p1 = pd.read_html(pl1,index_col=0,header=0)[0]\n",
        "p2 = pd.read_html(pl2,index_col=0,header=0)[0]\n",
        "p3 = pd.read_html(pl3,index_col=0,header=0)[0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jATwHNzwpGhu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "b1 = pd.read_html(bl1,index_col=0,header=0)[0]\n",
        "b2 = pd.read_html(bl2,index_col=0,header=0)[0]\n",
        "b3 = pd.read_html(bl3,index_col=0,header=0)[0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RexD0GbFpGhy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "index = p1.index.name\n",
        "index2 = b1.index.name"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jn_8jUt7pGh1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "p = p1.merge(p2, on = index).merge(p3, on = index)\n",
        "b = b1.merge(b2, on = index2).merge(b3, on = index2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h07zzIWdpGh5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "p = p[:25]\n",
        "b=b[:42]\n",
        "b = b.drop([b1.index[0]])\n",
        "p.columns = b.columns\n",
        "f = p.append(b)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2SpQkOHXpGh9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "f =f.replace(\"--\",0)\n",
        "f = f.sort_index(axis=1 ,ascending=True)\n",
        "f = f.drop(f.columns[[-3,-2,-1]], axis = 1)\n",
        "f = f.apply(pd.to_numeric) "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PM9HRzRVpb_x",
        "colab_type": "code",
        "colab": {
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          "height": 677
        },
        "outputId": "252cd22e-d613-4c8e-ba55-b7026ae8ab29"
      },
      "source": [
        "corr = f.T.corr()\n",
        "r =  corr.iat[1,1]\n",
        "corr = corr.replace(to_replace = r, value = int(.001))\n",
        "max_corrwith  = corr.idxmax(axis=1)\n",
        "corr"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Net Sales/Income from operations</th>\n",
              "      <th>Other Operating Income</th>\n",
              "      <th>Total Income From Operations</th>\n",
              "      <th>EXPENDITURE</th>\n",
              "      <th>Consumption of Raw Materials</th>\n",
              "      <th>Purchase of Traded Goods</th>\n",
              "      <th>Increase/Decrease in Stocks</th>\n",
              "      <th>Power &amp; Fuel</th>\n",
              "      <th>Employees Cost</th>\n",
              "      <th>Depreciation</th>\n",
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              "      <th>Interest</th>\n",
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              "      <th>Exceptional Items</th>\n",
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              "      <th>P/L After Tax from Ordinary Activities</th>\n",
              "      <th>EQUITIES AND LIABILITIES</th>\n",
              "      <th>SHAREHOLDER'S FUNDS</th>\n",
              "      <th>Equity Share Capital</th>\n",
              "      <th>Total Share Capital</th>\n",
              "      <th>Reserves and Surplus</th>\n",
              "      <th>Total Reserves and Surplus</th>\n",
              "      <th>Total Shareholders Funds</th>\n",
              "      <th>NON-CURRENT LIABILITIES</th>\n",
              "      <th>Long Term Borrowings</th>\n",
              "      <th>Deferred Tax Liabilities [Net]</th>\n",
              "      <th>Other Long Term Liabilities</th>\n",
              "      <th>Long Term Provisions</th>\n",
              "      <th>Total Non-Current Liabilities</th>\n",
              "      <th>CURRENT LIABILITIES</th>\n",
              "      <th>Short Term Borrowings</th>\n",
              "      <th>Trade Payables</th>\n",
              "      <th>Other Current Liabilities</th>\n",
              "      <th>Short Term Provisions</th>\n",
              "      <th>Total Current Liabilities</th>\n",
              "      <th>Total Capital And Liabilities</th>\n",
              "      <th>ASSETS</th>\n",
              "      <th>NON-CURRENT ASSETS</th>\n",
              "      <th>Tangible Assets</th>\n",
              "      <th>Intangible Assets</th>\n",
              "      <th>Capital Work-In-Progress</th>\n",
              "      <th>Other Assets</th>\n",
              "      <th>Fixed Assets</th>\n",
              "      <th>Non-Current Investments</th>\n",
              "      <th>Deferred Tax Assets [Net]</th>\n",
              "      <th>Long Term Loans And Advances</th>\n",
              "      <th>Other Non-Current Assets</th>\n",
              "      <th>Total Non-Current Assets</th>\n",
              "      <th>CURRENT ASSETS</th>\n",
              "      <th>Current Investments</th>\n",
              "      <th>Inventories</th>\n",
              "      <th>Trade Receivables</th>\n",
              "      <th>Cash And Cash Equivalents</th>\n",
              "      <th>Short Term Loans And Advances</th>\n",
              "      <th>OtherCurrentAssets</th>\n",
              "      <th>Total Current Assets</th>\n",
              "      <th>Total Assets</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Net Sales/Income from operations</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.918727</td>\n",
              "      <td>0.986132</td>\n",
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              "      <td>0.984484</td>\n",
              "      <td>0.891217</td>\n",
              "      <td>0.260702</td>\n",
              "      <td>0.980242</td>\n",
              "      <td>0.992344</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>0.934566</td>\n",
              "      <td>0.682950</td>\n",
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              "      <td>0.642448</td>\n",
              "      <td>0.992344</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Operating Income</th>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.902133</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>0.772323</td>\n",
              "      <td>0.772323</td>\n",
              "      <td>0.911031</td>\n",
              "      <td>0.911031</td>\n",
              "      <td>0.911035</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.580840</td>\n",
              "      <td>0.741654</td>\n",
              "      <td>0.855429</td>\n",
              "      <td>0.327232</td>\n",
              "      <td>0.853050</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.100211</td>\n",
              "      <td>0.871375</td>\n",
              "      <td>0.756376</td>\n",
              "      <td>0.363712</td>\n",
              "      <td>0.869231</td>\n",
              "      <td>0.904473</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>0.899759</td>\n",
              "      <td>0.905038</td>\n",
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              "      <td>0.745899</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Income From Operations</th>\n",
              "      <td>0.986132</td>\n",
              "      <td>0.902133</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.982264</td>\n",
              "      <td>0.854181</td>\n",
              "      <td>0.074619</td>\n",
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              "      <td>0.964049</td>\n",
              "      <td>0.936831</td>\n",
              "      <td>-0.657728</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.986209</td>\n",
              "      <td>0.944475</td>\n",
              "      <td>0.874289</td>\n",
              "      <td>0.950313</td>\n",
              "      <td>0.589991</td>\n",
              "      <td>0.947924</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.947924</td>\n",
              "      <td>0.875144</td>\n",
              "      <td>0.955556</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.816783</td>\n",
              "      <td>0.816783</td>\n",
              "      <td>0.975339</td>\n",
              "      <td>0.975339</td>\n",
              "      <td>0.975341</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.527435</td>\n",
              "      <td>0.712116</td>\n",
              "      <td>0.871033</td>\n",
              "      <td>0.217671</td>\n",
              "      <td>0.865267</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.122474</td>\n",
              "      <td>0.969177</td>\n",
              "      <td>0.855938</td>\n",
              "      <td>0.275920</td>\n",
              "      <td>0.965018</td>\n",
              "      <td>0.975188</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.957654</td>\n",
              "      <td>0.917806</td>\n",
              "      <td>0.712947</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.947786</td>\n",
              "      <td>0.841673</td>\n",
              "      <td>-0.835151</td>\n",
              "      <td>0.074408</td>\n",
              "      <td>0.844888</td>\n",
              "      <td>0.942489</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.443384</td>\n",
              "      <td>0.943517</td>\n",
              "      <td>0.856558</td>\n",
              "      <td>-0.502632</td>\n",
              "      <td>-0.609434</td>\n",
              "      <td>0.833498</td>\n",
              "      <td>0.670819</td>\n",
              "      <td>0.975188</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EXPENDITURE</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Consumption of Raw Materials</th>\n",
              "      <td>0.978934</td>\n",
              "      <td>0.883548</td>\n",
              "      <td>0.982264</td>\n",
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              "      <td>0.941351</td>\n",
              "      <td>0.947005</td>\n",
              "      <td>-0.673145</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.972470</td>\n",
              "      <td>0.915619</td>\n",
              "      <td>0.828804</td>\n",
              "      <td>0.916139</td>\n",
              "      <td>0.598444</td>\n",
              "      <td>0.913176</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.913176</td>\n",
              "      <td>0.835357</td>\n",
              "      <td>0.925879</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.832481</td>\n",
              "      <td>0.832481</td>\n",
              "      <td>0.956388</td>\n",
              "      <td>0.956388</td>\n",
              "      <td>0.956398</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.598296</td>\n",
              "      <td>0.686544</td>\n",
              "      <td>0.821881</td>\n",
              "      <td>0.301283</td>\n",
              "      <td>0.796408</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.175569</td>\n",
              "      <td>0.958852</td>\n",
              "      <td>0.831554</td>\n",
              "      <td>0.300059</td>\n",
              "      <td>0.956740</td>\n",
              "      <td>0.957015</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.964866</td>\n",
              "      <td>0.929535</td>\n",
              "      <td>0.719570</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.955253</td>\n",
              "      <td>0.793626</td>\n",
              "      <td>-0.889331</td>\n",
              "      <td>0.166688</td>\n",
              "      <td>0.818843</td>\n",
              "      <td>0.913551</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.489417</td>\n",
              "      <td>0.954996</td>\n",
              "      <td>0.813898</td>\n",
              "      <td>-0.470619</td>\n",
              "      <td>-0.615941</td>\n",
              "      <td>0.837405</td>\n",
              "      <td>0.710611</td>\n",
              "      <td>0.957015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cash And Cash Equivalents</th>\n",
              "      <td>-0.528173</td>\n",
              "      <td>-0.384343</td>\n",
              "      <td>-0.502632</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.470619</td>\n",
              "      <td>-0.430299</td>\n",
              "      <td>0.299665</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.571164</td>\n",
              "      <td>-0.608412</td>\n",
              "      <td>0.251339</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.563852</td>\n",
              "      <td>-0.629266</td>\n",
              "      <td>-0.559417</td>\n",
              "      <td>-0.619421</td>\n",
              "      <td>-0.467082</td>\n",
              "      <td>-0.616488</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.616488</td>\n",
              "      <td>-0.622392</td>\n",
              "      <td>-0.616725</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.665385</td>\n",
              "      <td>-0.665385</td>\n",
              "      <td>-0.564499</td>\n",
              "      <td>-0.564499</td>\n",
              "      <td>-0.564548</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.155812</td>\n",
              "      <td>-0.509779</td>\n",
              "      <td>-0.499239</td>\n",
              "      <td>0.084976</td>\n",
              "      <td>-0.542514</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.053822</td>\n",
              "      <td>-0.551052</td>\n",
              "      <td>-0.571595</td>\n",
              "      <td>-0.362900</td>\n",
              "      <td>-0.572333</td>\n",
              "      <td>-0.569352</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.563895</td>\n",
              "      <td>-0.523648</td>\n",
              "      <td>-0.421378</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.557810</td>\n",
              "      <td>-0.628079</td>\n",
              "      <td>0.175702</td>\n",
              "      <td>0.348359</td>\n",
              "      <td>-0.547390</td>\n",
              "      <td>-0.634936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.059569</td>\n",
              "      <td>-0.575293</td>\n",
              "      <td>-0.428536</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.281091</td>\n",
              "      <td>-0.535030</td>\n",
              "      <td>-0.002334</td>\n",
              "      <td>-0.569352</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Term Loans And Advances</th>\n",
              "      <td>-0.687500</td>\n",
              "      <td>-0.620909</td>\n",
              "      <td>-0.609434</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.615941</td>\n",
              "      <td>-0.682452</td>\n",
              "      <td>0.011812</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.708715</td>\n",
              "      <td>-0.590994</td>\n",
              "      <td>0.013372</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.620242</td>\n",
              "      <td>-0.694955</td>\n",
              "      <td>-0.771633</td>\n",
              "      <td>-0.704806</td>\n",
              "      <td>-0.222599</td>\n",
              "      <td>-0.709828</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.709828</td>\n",
              "      <td>-0.771122</td>\n",
              "      <td>-0.705880</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.471683</td>\n",
              "      <td>-0.471683</td>\n",
              "      <td>-0.708483</td>\n",
              "      <td>-0.708483</td>\n",
              "      <td>-0.708454</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.783353</td>\n",
              "      <td>-0.308576</td>\n",
              "      <td>-0.787403</td>\n",
              "      <td>0.206149</td>\n",
              "      <td>-0.527786</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.201278</td>\n",
              "      <td>-0.671090</td>\n",
              "      <td>-0.854914</td>\n",
              "      <td>0.200817</td>\n",
              "      <td>-0.695052</td>\n",
              "      <td>-0.703323</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.555529</td>\n",
              "      <td>-0.673375</td>\n",
              "      <td>-0.149415</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.515358</td>\n",
              "      <td>-0.755123</td>\n",
              "      <td>0.407256</td>\n",
              "      <td>0.253078</td>\n",
              "      <td>-0.805500</td>\n",
              "      <td>-0.726712</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.064389</td>\n",
              "      <td>-0.708392</td>\n",
              "      <td>-0.477998</td>\n",
              "      <td>0.281091</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.820888</td>\n",
              "      <td>-0.267835</td>\n",
              "      <td>-0.703323</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OtherCurrentAssets</th>\n",
              "      <td>0.867769</td>\n",
              "      <td>0.677830</td>\n",
              "      <td>0.833498</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.837405</td>\n",
              "      <td>0.698760</td>\n",
              "      <td>0.019962</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.873517</td>\n",
              "      <td>0.844599</td>\n",
              "      <td>-0.390174</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.851118</td>\n",
              "      <td>0.898859</td>\n",
              "      <td>0.879236</td>\n",
              "      <td>0.902899</td>\n",
              "      <td>0.449970</td>\n",
              "      <td>0.904147</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.904147</td>\n",
              "      <td>0.897401</td>\n",
              "      <td>0.906537</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.742196</td>\n",
              "      <td>0.742196</td>\n",
              "      <td>0.885924</td>\n",
              "      <td>0.885924</td>\n",
              "      <td>0.885926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.646488</td>\n",
              "      <td>0.455677</td>\n",
              "      <td>0.848342</td>\n",
              "      <td>-0.125420</td>\n",
              "      <td>0.686355</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.038933</td>\n",
              "      <td>0.901651</td>\n",
              "      <td>0.934853</td>\n",
              "      <td>-0.055901</td>\n",
              "      <td>0.906207</td>\n",
              "      <td>0.889652</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.812260</td>\n",
              "      <td>0.848811</td>\n",
              "      <td>0.437351</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.781497</td>\n",
              "      <td>0.879524</td>\n",
              "      <td>-0.623331</td>\n",
              "      <td>-0.237366</td>\n",
              "      <td>0.939256</td>\n",
              "      <td>0.907275</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.121497</td>\n",
              "      <td>0.909461</td>\n",
              "      <td>0.647245</td>\n",
              "      <td>-0.535030</td>\n",
              "      <td>-0.820888</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.393797</td>\n",
              "      <td>0.889652</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Assets</th>\n",
              "      <td>0.642448</td>\n",
              "      <td>0.745899</td>\n",
              "      <td>0.670819</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.710611</td>\n",
              "      <td>0.520840</td>\n",
              "      <td>0.155754</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.596667</td>\n",
              "      <td>0.676914</td>\n",
              "      <td>-0.575827</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.661665</td>\n",
              "      <td>0.428247</td>\n",
              "      <td>0.424858</td>\n",
              "      <td>0.444019</td>\n",
              "      <td>0.403679</td>\n",
              "      <td>0.439132</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.439132</td>\n",
              "      <td>0.310136</td>\n",
              "      <td>0.465474</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.650622</td>\n",
              "      <td>0.650622</td>\n",
              "      <td>0.600283</td>\n",
              "      <td>0.600283</td>\n",
              "      <td>0.600321</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.307051</td>\n",
              "      <td>0.646744</td>\n",
              "      <td>0.442721</td>\n",
              "      <td>0.651459</td>\n",
              "      <td>0.573077</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.598582</td>\n",
              "      <td>0.597626</td>\n",
              "      <td>0.360994</td>\n",
              "      <td>0.284345</td>\n",
              "      <td>0.600983</td>\n",
              "      <td>0.603401</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.733681</td>\n",
              "      <td>0.682251</td>\n",
              "      <td>0.763182</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.757270</td>\n",
              "      <td>0.234843</td>\n",
              "      <td>-0.877003</td>\n",
              "      <td>0.672085</td>\n",
              "      <td>0.384433</td>\n",
              "      <td>0.455948</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.940846</td>\n",
              "      <td>0.579779</td>\n",
              "      <td>0.739229</td>\n",
              "      <td>-0.002334</td>\n",
              "      <td>-0.267835</td>\n",
              "      <td>0.393797</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.603401</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Assets</th>\n",
              "      <td>0.992344</td>\n",
              "      <td>0.904473</td>\n",
              "      <td>0.975188</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.957015</td>\n",
              "      <td>0.897201</td>\n",
              "      <td>0.055397</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.996472</td>\n",
              "      <td>0.945047</td>\n",
              "      <td>-0.537751</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.986971</td>\n",
              "      <td>0.961421</td>\n",
              "      <td>0.932563</td>\n",
              "      <td>0.968830</td>\n",
              "      <td>0.594769</td>\n",
              "      <td>0.967024</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.967024</td>\n",
              "      <td>0.930860</td>\n",
              "      <td>0.972433</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.838727</td>\n",
              "      <td>0.838727</td>\n",
              "      <td>0.999252</td>\n",
              "      <td>0.999252</td>\n",
              "      <td>0.999254</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.598797</td>\n",
              "      <td>0.738354</td>\n",
              "      <td>0.932994</td>\n",
              "      <td>0.110966</td>\n",
              "      <td>0.889718</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.059119</td>\n",
              "      <td>0.991005</td>\n",
              "      <td>0.923437</td>\n",
              "      <td>0.235571</td>\n",
              "      <td>0.991847</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.949684</td>\n",
              "      <td>0.937544</td>\n",
              "      <td>0.673886</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.935871</td>\n",
              "      <td>0.910229</td>\n",
              "      <td>-0.751700</td>\n",
              "      <td>-0.046609</td>\n",
              "      <td>0.902205</td>\n",
              "      <td>0.984844</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.369711</td>\n",
              "      <td>0.962110</td>\n",
              "      <td>0.858148</td>\n",
              "      <td>-0.569352</td>\n",
              "      <td>-0.703323</td>\n",
              "      <td>0.889652</td>\n",
              "      <td>0.603401</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>66 rows × 66 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                  Net Sales/Income from operations  ...  Total Assets\n",
              "Net Sales/Income from operations                          0.000000  ...      0.992344\n",
              "Other Operating Income                                    0.918727  ...      0.904473\n",
              "Total Income From Operations                              0.986132  ...      0.975188\n",
              "EXPENDITURE                                                    NaN  ...           NaN\n",
              "Consumption of Raw Materials                              0.978934  ...      0.957015\n",
              "...                                                            ...  ...           ...\n",
              "Cash And Cash Equivalents                                -0.528173  ...     -0.569352\n",
              "Short Term Loans And Advances                            -0.687500  ...     -0.703323\n",
              "OtherCurrentAssets                                        0.867769  ...      0.889652\n",
              "Total Current Assets                                      0.642448  ...      0.603401\n",
              "Total Assets                                              0.992344  ...      0.000000\n",
              "\n",
              "[66 rows x 66 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IkmJ0nIAqy6E",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "outputId": "a304e52d-fe3b-4b07-fad3-d96286b99e5c"
      },
      "source": [
        "YoY = (f/f.shift(periods=1, axis='columns'))-1\n",
        "YoY = YoY.fillna(0)\n",
        "i = YoY.iat[2,2]\n",
        "YoY = YoY.replace(i,0)\n",
        "YoY"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Mar 05</th>\n",
              "      <th>Mar 06</th>\n",
              "      <th>Mar 07</th>\n",
              "      <th>Mar 08</th>\n",
              "      <th>Mar 09</th>\n",
              "      <th>Mar 10</th>\n",
              "      <th>Mar 11</th>\n",
              "      <th>Mar 12</th>\n",
              "      <th>Mar 13</th>\n",
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              "      <th>Mar 16</th>\n",
              "      <th>Mar 17</th>\n",
              "      <th>Mar 18</th>\n",
              "      <th>Mar 19</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Net Sales/Income from operations</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.105676</td>\n",
              "      <td>0.166255</td>\n",
              "      <td>0.038034</td>\n",
              "      <td>0.167536</td>\n",
              "      <td>0.420596</td>\n",
              "      <td>0.225390</td>\n",
              "      <td>-0.043908</td>\n",
              "      <td>0.227819</td>\n",
              "      <td>0.000756</td>\n",
              "      <td>0.139777</td>\n",
              "      <td>0.161209</td>\n",
              "      <td>0.185471</td>\n",
              "      <td>0.167322</td>\n",
              "      <td>0.063014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Operating Income</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.190248</td>\n",
              "      <td>0.106866</td>\n",
              "      <td>0.082533</td>\n",
              "      <td>0.292877</td>\n",
              "      <td>-0.196475</td>\n",
              "      <td>0.025982</td>\n",
              "      <td>0.473165</td>\n",
              "      <td>0.805778</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Income From Operations</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.038034</td>\n",
              "      <td>0.167536</td>\n",
              "      <td>0.420596</td>\n",
              "      <td>0.250382</td>\n",
              "      <td>-0.039228</td>\n",
              "      <td>0.224824</td>\n",
              "      <td>0.002586</td>\n",
              "      <td>0.143476</td>\n",
              "      <td>0.151438</td>\n",
              "      <td>0.182430</td>\n",
              "      <td>0.172381</td>\n",
              "      <td>0.078453</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EXPENDITURE</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Consumption of Raw Materials</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.099798</td>\n",
              "      <td>0.147285</td>\n",
              "      <td>0.215188</td>\n",
              "      <td>0.157577</td>\n",
              "      <td>0.424440</td>\n",
              "      <td>0.270688</td>\n",
              "      <td>-0.033067</td>\n",
              "      <td>0.144986</td>\n",
              "      <td>-0.054557</td>\n",
              "      <td>0.136294</td>\n",
              "      <td>0.081870</td>\n",
              "      <td>0.201379</td>\n",
              "      <td>0.054228</td>\n",
              "      <td>0.001838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cash And Cash Equivalents</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.361570</td>\n",
              "      <td>0.015126</td>\n",
              "      <td>-0.772280</td>\n",
              "      <td>4.984568</td>\n",
              "      <td>-0.949355</td>\n",
              "      <td>24.544807</td>\n",
              "      <td>-0.028862</td>\n",
              "      <td>-0.681869</td>\n",
              "      <td>-0.187484</td>\n",
              "      <td>-0.970939</td>\n",
              "      <td>1.306011</td>\n",
              "      <td>-0.672986</td>\n",
              "      <td>4.152174</td>\n",
              "      <td>1.516174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Term Loans And Advances</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.200296</td>\n",
              "      <td>0.185345</td>\n",
              "      <td>0.115221</td>\n",
              "      <td>0.612540</td>\n",
              "      <td>-0.043561</td>\n",
              "      <td>-0.587073</td>\n",
              "      <td>0.138531</td>\n",
              "      <td>0.432995</td>\n",
              "      <td>0.121761</td>\n",
              "      <td>-0.062585</td>\n",
              "      <td>-0.873977</td>\n",
              "      <td>-0.983085</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>4.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OtherCurrentAssets</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.950259</td>\n",
              "      <td>0.435441</td>\n",
              "      <td>-0.337035</td>\n",
              "      <td>-0.091011</td>\n",
              "      <td>5.587531</td>\n",
              "      <td>-0.011749</td>\n",
              "      <td>-0.052979</td>\n",
              "      <td>-0.260187</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Assets</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.261642</td>\n",
              "      <td>0.025683</td>\n",
              "      <td>-0.196313</td>\n",
              "      <td>0.776538</td>\n",
              "      <td>-0.312997</td>\n",
              "      <td>1.550154</td>\n",
              "      <td>0.151639</td>\n",
              "      <td>-0.012005</td>\n",
              "      <td>0.294692</td>\n",
              "      <td>-0.421530</td>\n",
              "      <td>-0.042926</td>\n",
              "      <td>0.118557</td>\n",
              "      <td>-0.097400</td>\n",
              "      <td>0.560532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Assets</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.180603</td>\n",
              "      <td>0.331388</td>\n",
              "      <td>0.208519</td>\n",
              "      <td>0.102499</td>\n",
              "      <td>0.202517</td>\n",
              "      <td>0.120414</td>\n",
              "      <td>0.210425</td>\n",
              "      <td>0.198725</td>\n",
              "      <td>0.142196</td>\n",
              "      <td>0.098747</td>\n",
              "      <td>0.250037</td>\n",
              "      <td>0.221998</td>\n",
              "      <td>0.158427</td>\n",
              "      <td>0.059991</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>66 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                  Mar 05    Mar 06  ...    Mar 18    Mar 19\n",
              "Net Sales/Income from operations     0.0  0.105676  ...  0.167322  0.063014\n",
              "Other Operating Income               0.0  0.000000  ...  0.473165  0.805778\n",
              "Total Income From Operations         0.0  0.000000  ...  0.172381  0.078453\n",
              "EXPENDITURE                          0.0  0.000000  ...  0.000000  0.000000\n",
              "Consumption of Raw Materials         0.0  0.099798  ...  0.054228  0.001838\n",
              "...                                  ...       ...  ...       ...       ...\n",
              "Cash And Cash Equivalents            0.0  0.361570  ...  4.152174  1.516174\n",
              "Short Term Loans And Advances        0.0  0.200296  ...  0.200000  4.333333\n",
              "OtherCurrentAssets                   0.0  0.000000  ... -0.052979 -0.260187\n",
              "Total Current Assets                 0.0  0.261642  ... -0.097400  0.560532\n",
              "Total Assets                         0.0  0.180603  ...  0.158427  0.059991\n",
              "\n",
              "[66 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2U_2ysTZMyRz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 660
        },
        "outputId": "9c620858-d3ec-4c2d-a8f2-b7834bea1605"
      },
      "source": [
        "fi = f.copy()\n",
        "fi['mean']= YoY.T.mean(axis=0)\n",
        "fi['std']=YoY.T.std(axis=0)\n",
        "fi['max_corrwith']=max_corrwith\n",
        "fi['max_corrvalur']=corr.max(axis=1)\n",
        "N = fi.iat[3,0]\n",
        "fi =fi.replace(N,\"\")\n",
        "fi"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Mar 05</th>\n",
              "      <th>Mar 06</th>\n",
              "      <th>Mar 07</th>\n",
              "      <th>Mar 08</th>\n",
              "      <th>Mar 09</th>\n",
              "      <th>Mar 10</th>\n",
              "      <th>Mar 11</th>\n",
              "      <th>Mar 12</th>\n",
              "      <th>Mar 13</th>\n",
              "      <th>Mar 14</th>\n",
              "      <th>Mar 15</th>\n",
              "      <th>Mar 16</th>\n",
              "      <th>Mar 17</th>\n",
              "      <th>Mar 18</th>\n",
              "      <th>Mar 19</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>max_corrwith</th>\n",
              "      <th>max_corrvalur</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Net Sales/Income from operations</th>\n",
              "      <td>13343.1</td>\n",
              "      <td>14753.1</td>\n",
              "      <td>17205.9</td>\n",
              "      <td>17860.3</td>\n",
              "      <td>20852.5</td>\n",
              "      <td>29623</td>\n",
              "      <td>36299.7</td>\n",
              "      <td>34705.9</td>\n",
              "      <td>42612.6</td>\n",
              "      <td>42644.8</td>\n",
              "      <td>48605.5</td>\n",
              "      <td>56441.2</td>\n",
              "      <td>66909.4</td>\n",
              "      <td>78104.8</td>\n",
              "      <td>83026.5</td>\n",
              "      <td>0.134996</td>\n",
              "      <td>0.116001</td>\n",
              "      <td>Total Shareholders Funds</td>\n",
              "      <td>0.993584</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Operating Income</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>740.35</td>\n",
              "      <td>881.2</td>\n",
              "      <td>975.37</td>\n",
              "      <td>1055.87</td>\n",
              "      <td>1365.11</td>\n",
              "      <td>1096.9</td>\n",
              "      <td>1125.4</td>\n",
              "      <td>1657.9</td>\n",
              "      <td>2993.8</td>\n",
              "      <td>0.118732</td>\n",
              "      <td>0.245122</td>\n",
              "      <td>Trade Receivables</td>\n",
              "      <td>0.924891</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Income From Operations</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>17205.9</td>\n",
              "      <td>17860.3</td>\n",
              "      <td>20852.5</td>\n",
              "      <td>29623</td>\n",
              "      <td>37040.1</td>\n",
              "      <td>35587.1</td>\n",
              "      <td>43587.9</td>\n",
              "      <td>43700.6</td>\n",
              "      <td>49970.6</td>\n",
              "      <td>57538.1</td>\n",
              "      <td>68034.8</td>\n",
              "      <td>79762.7</td>\n",
              "      <td>86020.3</td>\n",
              "      <td>0.119527</td>\n",
              "      <td>0.125233</td>\n",
              "      <td>Other Expenses</td>\n",
              "      <td>0.986209</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EXPENDITURE</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Consumption of Raw Materials</th>\n",
              "      <td>8583.67</td>\n",
              "      <td>9440.3</td>\n",
              "      <td>10830.7</td>\n",
              "      <td>13161.4</td>\n",
              "      <td>15235.3</td>\n",
              "      <td>21701.7</td>\n",
              "      <td>27576.1</td>\n",
              "      <td>26664.3</td>\n",
              "      <td>30530.2</td>\n",
              "      <td>28864.6</td>\n",
              "      <td>32798.7</td>\n",
              "      <td>35483.9</td>\n",
              "      <td>42629.6</td>\n",
              "      <td>44941.3</td>\n",
              "      <td>45023.9</td>\n",
              "      <td>0.123196</td>\n",
              "      <td>0.126043</td>\n",
              "      <td>Total Income From Operations</td>\n",
              "      <td>0.982264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cash And Cash Equivalents</th>\n",
              "      <td>1029.4</td>\n",
              "      <td>1401.6</td>\n",
              "      <td>1422.8</td>\n",
              "      <td>324</td>\n",
              "      <td>1939</td>\n",
              "      <td>98.2</td>\n",
              "      <td>2508.5</td>\n",
              "      <td>2436.1</td>\n",
              "      <td>775</td>\n",
              "      <td>629.7</td>\n",
              "      <td>18.3</td>\n",
              "      <td>42.2</td>\n",
              "      <td>13.8</td>\n",
              "      <td>71.1</td>\n",
              "      <td>178.9</td>\n",
              "      <td>2.174444</td>\n",
              "      <td>6.442829</td>\n",
              "      <td>Long Term Loans And Advances</td>\n",
              "      <td>0.348359</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Term Loans And Advances</th>\n",
              "      <td>676.5</td>\n",
              "      <td>812</td>\n",
              "      <td>962.5</td>\n",
              "      <td>1073.4</td>\n",
              "      <td>1730.9</td>\n",
              "      <td>1655.5</td>\n",
              "      <td>683.6</td>\n",
              "      <td>778.3</td>\n",
              "      <td>1115.3</td>\n",
              "      <td>1251.1</td>\n",
              "      <td>1172.8</td>\n",
              "      <td>147.8</td>\n",
              "      <td>2.5</td>\n",
              "      <td>3</td>\n",
              "      <td>16</td>\n",
              "      <td>0.252649</td>\n",
              "      <td>1.213776</td>\n",
              "      <td>Long Term Borrowings</td>\n",
              "      <td>0.783353</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OtherCurrentAssets</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>193</td>\n",
              "      <td>376.4</td>\n",
              "      <td>540.3</td>\n",
              "      <td>358.2</td>\n",
              "      <td>325.6</td>\n",
              "      <td>2144.9</td>\n",
              "      <td>2119.7</td>\n",
              "      <td>2007.4</td>\n",
              "      <td>1485.1</td>\n",
              "      <td>0.414685</td>\n",
              "      <td>1.462048</td>\n",
              "      <td>Other Non-Current Assets</td>\n",
              "      <td>0.939256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Assets</th>\n",
              "      <td>2972</td>\n",
              "      <td>3749.6</td>\n",
              "      <td>3845.9</td>\n",
              "      <td>3090.9</td>\n",
              "      <td>5491.1</td>\n",
              "      <td>3772.4</td>\n",
              "      <td>9620.2</td>\n",
              "      <td>11079</td>\n",
              "      <td>10946</td>\n",
              "      <td>14171.7</td>\n",
              "      <td>8197.9</td>\n",
              "      <td>7846</td>\n",
              "      <td>8776.2</td>\n",
              "      <td>7921.4</td>\n",
              "      <td>12361.6</td>\n",
              "      <td>0.177084</td>\n",
              "      <td>0.490516</td>\n",
              "      <td>Current Investments</td>\n",
              "      <td>0.940846</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Assets</th>\n",
              "      <td>6529.8</td>\n",
              "      <td>7709.1</td>\n",
              "      <td>10263.8</td>\n",
              "      <td>12404</td>\n",
              "      <td>13675.4</td>\n",
              "      <td>16444.9</td>\n",
              "      <td>18425.1</td>\n",
              "      <td>22302.2</td>\n",
              "      <td>26734.2</td>\n",
              "      <td>30535.7</td>\n",
              "      <td>33551</td>\n",
              "      <td>41940</td>\n",
              "      <td>51250.6</td>\n",
              "      <td>59370.1</td>\n",
              "      <td>62931.8</td>\n",
              "      <td>0.165766</td>\n",
              "      <td>0.081941</td>\n",
              "      <td>Total Shareholders Funds</td>\n",
              "      <td>0.999254</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>66 rows × 19 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                   Mar 05  ... max_corrvalur\n",
              "Net Sales/Income from operations  13343.1  ...      0.993584\n",
              "Other Operating Income                  0  ...      0.924891\n",
              "Total Income From Operations            0  ...      0.986209\n",
              "EXPENDITURE                                ...              \n",
              "Consumption of Raw Materials      8583.67  ...      0.982264\n",
              "...                                   ...  ...           ...\n",
              "Cash And Cash Equivalents          1029.4  ...      0.348359\n",
              "Short Term Loans And Advances       676.5  ...      0.783353\n",
              "OtherCurrentAssets                      0  ...      0.939256\n",
              "Total Current Assets                 2972  ...      0.940846\n",
              "Total Assets                       6529.8  ...      0.999254\n",
              "\n",
              "[66 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tzgw7nrmLMDE",
        "colab_type": "code",
        "outputId": "41fdd401-c9ee-4a00-b75d-96aaec008f03",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        }
      },
      "source": [
        "plt.figure(figsize = (10,10))\n",
        "\n",
        "list = YoY.iloc[[0,1,4,7,8,15,17]].index.tolist()\n",
        "for v in list:\n",
        "  plt.plot(YoY.T.index, YoY.T[v],label = v )\n",
        "plt.legend()\n",
        "plt.xlabel('Year End')\n",
        "plt.ylabel('Percentage change in decimals')\n",
        "plt.savefig('YoY P&l change %.png')\n",
        "plt.grid()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y2L29sy36SSu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "outputId": "ed27d6e7-785d-4cec-b38c-cf95fcc64259"
      },
      "source": [
        "import pylab\n",
        "plt.figure(figsize = (10,10))\n",
        "\n",
        "list = f.iloc[[0,1,4,7,8,15,17]].index.tolist()\n",
        "for v in list:\n",
        "  ((f.T[v])/(f.T[v]).iloc[0]*100).plot(kind = 'line')\n",
        "plt.legend()\n",
        "plt.xlabel('Year End')\n",
        "plt.ylabel('YoY growth of P&L Items starting at 100')\n",
        "plt.savefig('YoY P&l change.png')\n",
        "plt.grid()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CY73jTznC2sS",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "outputId": "8bdb2e2a-efea-4ad0-8bb5-a8183991bf92"
      },
      "source": [
        "import pylab\n",
        "plt.figure(figsize = (10,10))\n",
        "\n",
        "list = f.iloc[[29,31,41,43,44,51,56,59,60,65]].index.tolist()\n",
        "for v in list:\n",
        "  ((f.T[v])/(f.T[v]).iloc[0]*100).plot(kind = 'line')\n",
        "plt.legend()\n",
        "plt.xlabel('Year End')\n",
        "plt.ylabel('YoY growth of BS Items starting at 100')\n",
        "plt.savefig('YoY BS change.png')\n",
        "plt.grid()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SmXBAf5sM-_d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a = pd.DataFrame(f[\"Mar 19\"])\n",
        "a['Mar 20']= a['Mar 19']*(YoY[\"Mar 10\"]+1)\n",
        "a['Mar 21']= a['Mar 20']*(YoY[\"Mar 11\"]+1)\n",
        "a['Mar 22']= a['Mar 21']*(YoY[\"Mar 12\"]+1)\n",
        "a['Mar 23']= a['Mar 22']*(YoY[\"Mar 13\"]+1)\n",
        "a['Mar 24']= a['Mar 23']*(YoY[\"Mar 14\"]+1)\n",
        "a['Mar 25']= a['Mar 24']*(YoY[\"Mar 15\"]+1)\n",
        "a['Mar 26']= a['Mar 25']*(YoY[\"Mar 16\"]+1)\n",
        "a['Mar 27']= a['Mar 26']*(YoY[\"Mar 17\"]+1)\n",
        "a['Mar 28']= a['Mar 27']*(YoY[\"Mar 18\"]+1)\n",
        "a['Mar 29']= a['Mar 28']*(YoY[\"Mar 19\"]+1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "85ArISjDp8ut",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a=a.T\n",
        "a['Total Income']=a.iloc[:, 0:2].sum(axis=1)\n",
        "a['Expenses Total']= a.iloc[:, 4:16].sum(axis=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qTYj2_L9U-w0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a['Profit before tax']= a['Total Income']+a['Other Income']+a['Interest']-a['Expenses Total']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "njzgtZ5anzbZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Tax_rate = .25"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T4x4fW5Rn3pK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a['Profit after tax']= a['Profit before tax']*(1-Tax_rate)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "65AYXZ3Lszww",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a['FCFF']= a['Profit after tax']+a['Depreciation']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KNqtXZvvtx1u",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626
        },
        "outputId": "0074c386-5912-47d1-d277-39e47ce42190"
      },
      "source": [
        "a=a.T\n",
        "a"
      ],
      "execution_count": 21,
      "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>Mar 19</th>\n",
              "      <th>Mar 20</th>\n",
              "      <th>Mar 21</th>\n",
              "      <th>Mar 22</th>\n",
              "      <th>Mar 23</th>\n",
              "      <th>Mar 24</th>\n",
              "      <th>Mar 25</th>\n",
              "      <th>Mar 26</th>\n",
              "      <th>Mar 27</th>\n",
              "      <th>Mar 28</th>\n",
              "      <th>Mar 29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Net Sales/Income from operations</th>\n",
              "      <td>83026.5</td>\n",
              "      <td>117947.127722</td>\n",
              "      <td>144531.229948</td>\n",
              "      <td>138185.148658</td>\n",
              "      <td>169666.386261</td>\n",
              "      <td>169794.593945</td>\n",
              "      <td>193528.026183</td>\n",
              "      <td>224726.569825</td>\n",
              "      <td>266406.808343</td>\n",
              "      <td>310982.470090</td>\n",
              "      <td>330578.735915</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Operating Income</th>\n",
              "      <td>2993.8</td>\n",
              "      <td>2993.800000</td>\n",
              "      <td>2993.800000</td>\n",
              "      <td>3563.364031</td>\n",
              "      <td>3944.165200</td>\n",
              "      <td>4269.688129</td>\n",
              "      <td>5520.181425</td>\n",
              "      <td>4435.603728</td>\n",
              "      <td>4550.850976</td>\n",
              "      <td>6704.154819</td>\n",
              "      <td>12106.217924</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Income From Operations</th>\n",
              "      <td>86020.3</td>\n",
              "      <td>122200.108529</td>\n",
              "      <td>152796.863584</td>\n",
              "      <td>146802.983904</td>\n",
              "      <td>179807.851280</td>\n",
              "      <td>180272.758534</td>\n",
              "      <td>206137.648783</td>\n",
              "      <td>237354.747696</td>\n",
              "      <td>280655.475043</td>\n",
              "      <td>329035.118192</td>\n",
              "      <td>354848.815016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EXPENDITURE</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Consumption of Raw Materials</th>\n",
              "      <td>45023.9</td>\n",
              "      <td>64133.850030</td>\n",
              "      <td>81494.119862</td>\n",
              "      <td>78799.383030</td>\n",
              "      <td>90224.168804</td>\n",
              "      <td>85301.800589</td>\n",
              "      <td>96927.956510</td>\n",
              "      <td>104863.488813</td>\n",
              "      <td>125980.756983</td>\n",
              "      <td>132812.388430</td>\n",
              "      <td>133056.491366</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Income</th>\n",
              "      <td>86020.3</td>\n",
              "      <td>120940.927722</td>\n",
              "      <td>147525.029948</td>\n",
              "      <td>141748.512688</td>\n",
              "      <td>173610.551461</td>\n",
              "      <td>174064.282074</td>\n",
              "      <td>199048.207608</td>\n",
              "      <td>229162.173553</td>\n",
              "      <td>270957.659318</td>\n",
              "      <td>317686.624909</td>\n",
              "      <td>342684.953839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Expenses Total</th>\n",
              "      <td>78039.9</td>\n",
              "      <td>100027.012312</td>\n",
              "      <td>120383.134621</td>\n",
              "      <td>123215.652703</td>\n",
              "      <td>150550.878751</td>\n",
              "      <td>154729.429946</td>\n",
              "      <td>174781.667177</td>\n",
              "      <td>198558.232535</td>\n",
              "      <td>238312.217569</td>\n",
              "      <td>319190.375370</td>\n",
              "      <td>388801.087431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Profit before tax</th>\n",
              "      <td>10617.2</td>\n",
              "      <td>23079.337538</td>\n",
              "      <td>29232.261942</td>\n",
              "      <td>22136.398922</td>\n",
              "      <td>26801.647218</td>\n",
              "      <td>23100.900630</td>\n",
              "      <td>28114.414001</td>\n",
              "      <td>36947.258801</td>\n",
              "      <td>42487.629132</td>\n",
              "      <td>7721.676536</td>\n",
              "      <td>-35096.586735</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Profit after tax</th>\n",
              "      <td>7962.9</td>\n",
              "      <td>17309.503154</td>\n",
              "      <td>21924.196457</td>\n",
              "      <td>16602.299191</td>\n",
              "      <td>20101.235414</td>\n",
              "      <td>17325.675472</td>\n",
              "      <td>21085.810501</td>\n",
              "      <td>27710.444101</td>\n",
              "      <td>31865.721849</td>\n",
              "      <td>5791.257402</td>\n",
              "      <td>-26322.440051</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FCFF</th>\n",
              "      <td>10981.8</td>\n",
              "      <td>20834.643808</td>\n",
              "      <td>26254.673358</td>\n",
              "      <td>21466.234446</td>\n",
              "      <td>28053.631758</td>\n",
              "      <td>26231.887661</td>\n",
              "      <td>31641.022148</td>\n",
              "      <td>39760.578248</td>\n",
              "      <td>42983.959585</td>\n",
              "      <td>17575.196471</td>\n",
              "      <td>-13423.301701</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>71 rows × 11 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                   Mar 19  ...         Mar 29\n",
              "Net Sales/Income from operations  83026.5  ...  330578.735915\n",
              "Other Operating Income             2993.8  ...   12106.217924\n",
              "Total Income From Operations      86020.3  ...  354848.815016\n",
              "EXPENDITURE                           NaN  ...            NaN\n",
              "Consumption of Raw Materials      45023.9  ...  133056.491366\n",
              "...                                   ...  ...            ...\n",
              "Total Income                      86020.3  ...  342684.953839\n",
              "Expenses Total                    78039.9  ...  388801.087431\n",
              "Profit before tax                 10617.2  ...  -35096.586735\n",
              "Profit after tax                   7962.9  ...  -26322.440051\n",
              "FCFF                              10981.8  ...  -13423.301701\n",
              "\n",
              "[71 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lnlqx4TJ-Qyo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "writer = pd.ExcelWriter('company financials.xlsx', engine='xlsxwriter')\n",
        "\n",
        "# Write each dataframe to a different worksheet.\n",
        "fi.to_excel(writer, sheet_name='Historic data')\n",
        "a.to_excel(writer, sheet_name='Projections')\n",
        "corr.to_excel(writer, sheet_name='Corr table')\n",
        "\n",
        "# Close the Pandas Excel writer and output the Excel file.\n",
        "writer.save()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SLvBNmDUHkV9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "workbook = xlsxwriter.Workbook('graphs.xlsx')\n",
        "s1 = workbook.add_worksheet('graphs')\n",
        "\n",
        "s1.insert_image('A2', 'YoY P&l change %.png')\n",
        "s1.insert_image('A48', 'YoY P&l change.png')\n",
        "s1.insert_image('A96', 'YoY BS change.png')\n",
        "\n",
        "workbook.close()"
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}