{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d5ee1824-dbed-4e1e-81d5-c68ed0639538",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1      16\n",
       "2      31\n",
       "3      46\n",
       "4      61\n",
       "     ... \n",
       "62    931\n",
       "63    946\n",
       "64    961\n",
       "65    976\n",
       "66    991\n",
       "Length: 67, dtype: int64"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.Series(range(1,1000,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "42729008-00a8-43d0-82c5-e9d27de2a927",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        1\n",
       "1        2\n",
       "2        3\n",
       "3        4\n",
       "4        5\n",
       "      ... \n",
       "994    995\n",
       "995    996\n",
       "996    997\n",
       "997    998\n",
       "998    999\n",
       "Name: ordernumber, Length: 999, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(range(1,1000),name='ordernumber')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "478a3b5d-c490-4f67-92a9-a786413ab7c2",
   "metadata": {},
   "outputs": [
    {
     "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.051460</td>\n",
       "      <td>0.345604</td>\n",
       "      <td>0.791156</td>\n",
       "      <td>0.440672</td>\n",
       "      <td>0.450625</td>\n",
       "      <td>0.980399</td>\n",
       "      <td>0.405555</td>\n",
       "      <td>0.661131</td>\n",
       "      <td>0.778248</td>\n",
       "      <td>0.514650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.824818</td>\n",
       "      <td>0.828941</td>\n",
       "      <td>0.884023</td>\n",
       "      <td>0.760136</td>\n",
       "      <td>0.350469</td>\n",
       "      <td>0.289411</td>\n",
       "      <td>0.043574</td>\n",
       "      <td>0.836360</td>\n",
       "      <td>0.890852</td>\n",
       "      <td>0.212008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.915531</td>\n",
       "      <td>0.110926</td>\n",
       "      <td>0.394650</td>\n",
       "      <td>0.854019</td>\n",
       "      <td>0.690907</td>\n",
       "      <td>0.487290</td>\n",
       "      <td>0.326002</td>\n",
       "      <td>0.310439</td>\n",
       "      <td>0.218654</td>\n",
       "      <td>0.268796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.510951</td>\n",
       "      <td>0.805179</td>\n",
       "      <td>0.909292</td>\n",
       "      <td>0.407076</td>\n",
       "      <td>0.993812</td>\n",
       "      <td>0.089341</td>\n",
       "      <td>0.615807</td>\n",
       "      <td>0.583266</td>\n",
       "      <td>0.542803</td>\n",
       "      <td>0.095077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.960893</td>\n",
       "      <td>0.979636</td>\n",
       "      <td>0.012998</td>\n",
       "      <td>0.805010</td>\n",
       "      <td>0.704081</td>\n",
       "      <td>0.738408</td>\n",
       "      <td>0.760624</td>\n",
       "      <td>0.845298</td>\n",
       "      <td>0.391842</td>\n",
       "      <td>0.371173</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>0.230657</td>\n",
       "      <td>0.095324</td>\n",
       "      <td>0.356832</td>\n",
       "      <td>0.228042</td>\n",
       "      <td>0.847167</td>\n",
       "      <td>0.777826</td>\n",
       "      <td>0.460811</td>\n",
       "      <td>0.784149</td>\n",
       "      <td>0.173706</td>\n",
       "      <td>0.585010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.522313</td>\n",
       "      <td>0.174966</td>\n",
       "      <td>0.448625</td>\n",
       "      <td>0.520422</td>\n",
       "      <td>0.679586</td>\n",
       "      <td>0.065859</td>\n",
       "      <td>0.867442</td>\n",
       "      <td>0.298666</td>\n",
       "      <td>0.150284</td>\n",
       "      <td>0.950080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>0.841830</td>\n",
       "      <td>0.479370</td>\n",
       "      <td>0.344530</td>\n",
       "      <td>0.827816</td>\n",
       "      <td>0.032871</td>\n",
       "      <td>0.716897</td>\n",
       "      <td>0.732730</td>\n",
       "      <td>0.060178</td>\n",
       "      <td>0.645426</td>\n",
       "      <td>0.530073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.312104</td>\n",
       "      <td>0.981484</td>\n",
       "      <td>0.759550</td>\n",
       "      <td>0.262574</td>\n",
       "      <td>0.337067</td>\n",
       "      <td>0.239735</td>\n",
       "      <td>0.500450</td>\n",
       "      <td>0.797333</td>\n",
       "      <td>0.011523</td>\n",
       "      <td>0.275411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.230630</td>\n",
       "      <td>0.560744</td>\n",
       "      <td>0.337111</td>\n",
       "      <td>0.414382</td>\n",
       "      <td>0.220704</td>\n",
       "      <td>0.807170</td>\n",
       "      <td>0.375692</td>\n",
       "      <td>0.250978</td>\n",
       "      <td>0.164241</td>\n",
       "      <td>0.490498</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           0         1         2         3         4         5         6  \\\n",
       "0   0.051460  0.345604  0.791156  0.440672  0.450625  0.980399  0.405555   \n",
       "1   0.824818  0.828941  0.884023  0.760136  0.350469  0.289411  0.043574   \n",
       "2   0.915531  0.110926  0.394650  0.854019  0.690907  0.487290  0.326002   \n",
       "3   0.510951  0.805179  0.909292  0.407076  0.993812  0.089341  0.615807   \n",
       "4   0.960893  0.979636  0.012998  0.805010  0.704081  0.738408  0.760624   \n",
       "..       ...       ...       ...       ...       ...       ...       ...   \n",
       "95  0.230657  0.095324  0.356832  0.228042  0.847167  0.777826  0.460811   \n",
       "96  0.522313  0.174966  0.448625  0.520422  0.679586  0.065859  0.867442   \n",
       "97  0.841830  0.479370  0.344530  0.827816  0.032871  0.716897  0.732730   \n",
       "98  0.312104  0.981484  0.759550  0.262574  0.337067  0.239735  0.500450   \n",
       "99  0.230630  0.560744  0.337111  0.414382  0.220704  0.807170  0.375692   \n",
       "\n",
       "           7         8         9  \n",
       "0   0.661131  0.778248  0.514650  \n",
       "1   0.836360  0.890852  0.212008  \n",
       "2   0.310439  0.218654  0.268796  \n",
       "3   0.583266  0.542803  0.095077  \n",
       "4   0.845298  0.391842  0.371173  \n",
       "..       ...       ...       ...  \n",
       "95  0.784149  0.173706  0.585010  \n",
       "96  0.298666  0.150284  0.950080  \n",
       "97  0.060178  0.645426  0.530073  \n",
       "98  0.797333  0.011523  0.275411  \n",
       "99  0.250978  0.164241  0.490498  \n",
       "\n",
       "[100 rows x 10 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "pd.DataFrame(np.random.rand(100,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b721e785-0bdb-472f-ad88-b248f10a9b74",
   "metadata": {},
   "outputs": [
    {
     "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>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>e</th>\n",
       "      <th>f</th>\n",
       "      <th>g</th>\n",
       "      <th>h</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.606830</td>\n",
       "      <td>0.601315</td>\n",
       "      <td>0.910206</td>\n",
       "      <td>0.831295</td>\n",
       "      <td>0.119963</td>\n",
       "      <td>0.833829</td>\n",
       "      <td>0.822465</td>\n",
       "      <td>0.857354</td>\n",
       "      <td>0.013106</td>\n",
       "      <td>0.051223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.516552</td>\n",
       "      <td>0.374951</td>\n",
       "      <td>0.690015</td>\n",
       "      <td>0.846037</td>\n",
       "      <td>0.985839</td>\n",
       "      <td>0.519683</td>\n",
       "      <td>0.711210</td>\n",
       "      <td>0.256082</td>\n",
       "      <td>0.879496</td>\n",
       "      <td>0.414224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.377614</td>\n",
       "      <td>0.225853</td>\n",
       "      <td>0.063450</td>\n",
       "      <td>0.852476</td>\n",
       "      <td>0.866675</td>\n",
       "      <td>0.262355</td>\n",
       "      <td>0.983261</td>\n",
       "      <td>0.821123</td>\n",
       "      <td>0.122751</td>\n",
       "      <td>0.994068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.643366</td>\n",
       "      <td>0.931751</td>\n",
       "      <td>0.320063</td>\n",
       "      <td>0.271283</td>\n",
       "      <td>0.148835</td>\n",
       "      <td>0.112263</td>\n",
       "      <td>0.171932</td>\n",
       "      <td>0.746468</td>\n",
       "      <td>0.835042</td>\n",
       "      <td>0.309719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.818608</td>\n",
       "      <td>0.609409</td>\n",
       "      <td>0.681572</td>\n",
       "      <td>0.809709</td>\n",
       "      <td>0.650673</td>\n",
       "      <td>0.914900</td>\n",
       "      <td>0.934236</td>\n",
       "      <td>0.729503</td>\n",
       "      <td>0.729154</td>\n",
       "      <td>0.117995</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>0.291834</td>\n",
       "      <td>0.896033</td>\n",
       "      <td>0.380513</td>\n",
       "      <td>0.211915</td>\n",
       "      <td>0.611366</td>\n",
       "      <td>0.339789</td>\n",
       "      <td>0.380931</td>\n",
       "      <td>0.406480</td>\n",
       "      <td>0.966955</td>\n",
       "      <td>0.272316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.834234</td>\n",
       "      <td>0.582481</td>\n",
       "      <td>0.327662</td>\n",
       "      <td>0.061220</td>\n",
       "      <td>0.665289</td>\n",
       "      <td>0.721058</td>\n",
       "      <td>0.339561</td>\n",
       "      <td>0.198045</td>\n",
       "      <td>0.472203</td>\n",
       "      <td>0.574335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>0.709109</td>\n",
       "      <td>0.651355</td>\n",
       "      <td>0.470749</td>\n",
       "      <td>0.250304</td>\n",
       "      <td>0.274054</td>\n",
       "      <td>0.843104</td>\n",
       "      <td>0.137603</td>\n",
       "      <td>0.990243</td>\n",
       "      <td>0.712363</td>\n",
       "      <td>0.346610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.257044</td>\n",
       "      <td>0.044539</td>\n",
       "      <td>0.574567</td>\n",
       "      <td>0.197257</td>\n",
       "      <td>0.360844</td>\n",
       "      <td>0.964915</td>\n",
       "      <td>0.283142</td>\n",
       "      <td>0.987874</td>\n",
       "      <td>0.795631</td>\n",
       "      <td>0.720949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.162093</td>\n",
       "      <td>0.591994</td>\n",
       "      <td>0.127688</td>\n",
       "      <td>0.580867</td>\n",
       "      <td>0.850749</td>\n",
       "      <td>0.215444</td>\n",
       "      <td>0.320857</td>\n",
       "      <td>0.174999</td>\n",
       "      <td>0.737112</td>\n",
       "      <td>0.286279</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           a         b         c         d         e         f         g  \\\n",
       "0   0.606830  0.601315  0.910206  0.831295  0.119963  0.833829  0.822465   \n",
       "1   0.516552  0.374951  0.690015  0.846037  0.985839  0.519683  0.711210   \n",
       "2   0.377614  0.225853  0.063450  0.852476  0.866675  0.262355  0.983261   \n",
       "3   0.643366  0.931751  0.320063  0.271283  0.148835  0.112263  0.171932   \n",
       "4   0.818608  0.609409  0.681572  0.809709  0.650673  0.914900  0.934236   \n",
       "..       ...       ...       ...       ...       ...       ...       ...   \n",
       "95  0.291834  0.896033  0.380513  0.211915  0.611366  0.339789  0.380931   \n",
       "96  0.834234  0.582481  0.327662  0.061220  0.665289  0.721058  0.339561   \n",
       "97  0.709109  0.651355  0.470749  0.250304  0.274054  0.843104  0.137603   \n",
       "98  0.257044  0.044539  0.574567  0.197257  0.360844  0.964915  0.283142   \n",
       "99  0.162093  0.591994  0.127688  0.580867  0.850749  0.215444  0.320857   \n",
       "\n",
       "           h         i         j  \n",
       "0   0.857354  0.013106  0.051223  \n",
       "1   0.256082  0.879496  0.414224  \n",
       "2   0.821123  0.122751  0.994068  \n",
       "3   0.746468  0.835042  0.309719  \n",
       "4   0.729503  0.729154  0.117995  \n",
       "..       ...       ...       ...  \n",
       "95  0.406480  0.966955  0.272316  \n",
       "96  0.198045  0.472203  0.574335  \n",
       "97  0.990243  0.712363  0.346610  \n",
       "98  0.987874  0.795631  0.720949  \n",
       "99  0.174999  0.737112  0.286279  \n",
       "\n",
       "[100 rows x 10 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(np.random.rand(100,10),columns=list('abcdefghij'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e141f22c-b59a-49a1-a73f-8541ee7ef798",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-08-03</td>\n",
       "      <td>0.229989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-08-04</td>\n",
       "      <td>0.356387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>0.264751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>0.435229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-08-07</td>\n",
       "      <td>0.898069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-08-08</td>\n",
       "      <td>0.967762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-08-09</td>\n",
       "      <td>0.369329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-08-10</td>\n",
       "      <td>0.348415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-08-11</td>\n",
       "      <td>0.082138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-08-12</td>\n",
       "      <td>0.111789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date     value\n",
       "0 2022-08-03  0.229989\n",
       "1 2022-08-04  0.356387\n",
       "2 2022-08-05  0.264751\n",
       "3 2022-08-06  0.435229\n",
       "4 2022-08-07  0.898069\n",
       "5 2022-08-08  0.967762\n",
       "6 2022-08-09  0.369329\n",
       "7 2022-08-10  0.348415\n",
       "8 2022-08-11  0.082138\n",
       "9 2022-08-12  0.111789"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime as dt\n",
    "\n",
    "s1 = pd.Series(pd.date_range(dt.date.today(),periods=10))\n",
    "s2 = pd.Series(np.random.rand(10))\n",
    "\n",
    "pd.DataFrame(\n",
    "    {\n",
    "        'date':s1,\n",
    "        'value':s2\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8d60df6a-afda-47e9-8015-d71de7e4a494",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'date': DatetimeIndex(['2022-08-03', '2022-08-04', '2022-08-05', '2022-08-06',\n",
       "                '2022-08-07'],\n",
       "               dtype='datetime64[ns]', freq='D'),\n",
       " 'value': array([0.3197036 , 0.52098407, 0.27933677, 0.57908009, 0.3376671 ])}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {\n",
    "    'date': pd.date_range(dt.date.today(),periods=5),\n",
    "    'value': np.random.rand(5)\n",
    "}\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fd806f44-4bcb-4cb9-ad32-08db7c7fc373",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-08-03</td>\n",
       "      <td>0.319704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-08-04</td>\n",
       "      <td>0.520984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>0.279337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>0.579080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-08-07</td>\n",
       "      <td>0.337667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date     value\n",
       "0 2022-08-03  0.319704\n",
       "1 2022-08-04  0.520984\n",
       "2 2022-08-05  0.279337\n",
       "3 2022-08-06  0.579080\n",
       "4 2022-08-07  0.337667"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame.from_dict(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "998dd959-8a23-460d-917a-ea95854e1567",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: [Timestamp('2022-08-03 00:00:00', freq='D'), 0.3808097904504616, 73],\n",
       " 1: [Timestamp('2022-08-04 00:00:00', freq='D'), 0.5905372296633548, 50],\n",
       " 2: [Timestamp('2022-08-05 00:00:00', freq='D'), 0.843340861241361, 33],\n",
       " 3: [Timestamp('2022-08-06 00:00:00', freq='D'), 0.6522567142909306, 39],\n",
       " 4: [Timestamp('2022-08-07 00:00:00', freq='D'), 0.8831824961187278, 4]}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {\n",
    "    i: [d , np.random.rand(), np.random.randint(1,100)]\n",
    "    for i,d in enumerate(pd.date_range(dt.date.today(),periods=5))\n",
    "}\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "46705db4-6747-44c7-8a8d-a43dbe2f0c9a",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>float</th>\n",
       "      <th>int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-08-03</td>\n",
       "      <td>0.380810</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-08-04</td>\n",
       "      <td>0.590537</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>0.843341</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>0.652257</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-08-07</td>\n",
       "      <td>0.883182</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date     float  int\n",
       "0 2022-08-03  0.380810   73\n",
       "1 2022-08-04  0.590537   50\n",
       "2 2022-08-05  0.843341   33\n",
       "3 2022-08-06  0.652257   39\n",
       "4 2022-08-07  0.883182    4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame.from_dict(data,orient='index',columns=['date','float','int'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "57fa2c92-b224-478c-81e8-ee5f4dac708f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'date': Timestamp('2022-08-03 00:00:00', freq='D'),\n",
       "  'float': 0.1493111724826941,\n",
       "  'int': 34},\n",
       " {'date': Timestamp('2022-08-04 00:00:00', freq='D'),\n",
       "  'float': 0.6487476480583498,\n",
       "  'int': 36},\n",
       " {'date': Timestamp('2022-08-05 00:00:00', freq='D'),\n",
       "  'float': 0.8526625460198155,\n",
       "  'int': 98},\n",
       " {'date': Timestamp('2022-08-06 00:00:00', freq='D'),\n",
       "  'float': 0.270909052559152,\n",
       "  'int': 4},\n",
       " {'date': Timestamp('2022-08-07 00:00:00', freq='D'),\n",
       "  'float': 0.07841641226720986,\n",
       "  'int': 43}]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = [\n",
    "    {'date': d, 'float': np.random.rand(), 'int': np.random.randint(1,100)}\n",
    "    for d in pd.date_range(dt.date.today(),periods=5)\n",
    "]\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4ac818fc-cc4d-4fc6-86e6-db99e80e7db0",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>float</th>\n",
       "      <th>int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-08-03</td>\n",
       "      <td>0.149311</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-08-04</td>\n",
       "      <td>0.648748</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>0.852663</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>0.270909</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-08-07</td>\n",
       "      <td>0.078416</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date     float  int\n",
       "0 2022-08-03  0.149311   34\n",
       "1 2022-08-04  0.648748   36\n",
       "2 2022-08-05  0.852663   98\n",
       "3 2022-08-06  0.270909    4\n",
       "4 2022-08-07  0.078416   43"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame.from_records(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "85001e4c-0012-4fd6-8478-6f53e48158a0",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>FB</th>\n",
       "      <th>NFLX</th>\n",
       "      <th>MSFT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>1.018172</td>\n",
       "      <td>1.011943</td>\n",
       "      <td>1.061881</td>\n",
       "      <td>0.959968</td>\n",
       "      <td>1.053526</td>\n",
       "      <td>1.015988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>1.032008</td>\n",
       "      <td>1.019771</td>\n",
       "      <td>1.053240</td>\n",
       "      <td>0.970243</td>\n",
       "      <td>1.049860</td>\n",
       "      <td>1.020524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>1.066783</td>\n",
       "      <td>0.980057</td>\n",
       "      <td>1.140676</td>\n",
       "      <td>1.016858</td>\n",
       "      <td>1.307681</td>\n",
       "      <td>1.066561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.008773</td>\n",
       "      <td>0.917143</td>\n",
       "      <td>1.163374</td>\n",
       "      <td>1.018357</td>\n",
       "      <td>1.273537</td>\n",
       "      <td>1.040708</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>1.216280</td>\n",
       "      <td>1.546914</td>\n",
       "      <td>1.425061</td>\n",
       "      <td>1.075997</td>\n",
       "      <td>1.463641</td>\n",
       "      <td>1.720717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-12-09</td>\n",
       "      <td>1.222821</td>\n",
       "      <td>1.572286</td>\n",
       "      <td>1.432660</td>\n",
       "      <td>1.038855</td>\n",
       "      <td>1.421496</td>\n",
       "      <td>1.752239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-12-16</td>\n",
       "      <td>1.224418</td>\n",
       "      <td>1.596800</td>\n",
       "      <td>1.453455</td>\n",
       "      <td>1.104094</td>\n",
       "      <td>1.604362</td>\n",
       "      <td>1.784896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.656000</td>\n",
       "      <td>1.521226</td>\n",
       "      <td>1.113728</td>\n",
       "      <td>1.567170</td>\n",
       "      <td>1.802472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>1.213014</td>\n",
       "      <td>1.678000</td>\n",
       "      <td>1.503360</td>\n",
       "      <td>1.098475</td>\n",
       "      <td>1.540883</td>\n",
       "      <td>1.788185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date      GOOG      AAPL      AMZN        FB      NFLX      MSFT\n",
       "0    2018-01-01  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000\n",
       "1    2018-01-08  1.018172  1.011943  1.061881  0.959968  1.053526  1.015988\n",
       "2    2018-01-15  1.032008  1.019771  1.053240  0.970243  1.049860  1.020524\n",
       "3    2018-01-22  1.066783  0.980057  1.140676  1.016858  1.307681  1.066561\n",
       "4    2018-01-29  1.008773  0.917143  1.163374  1.018357  1.273537  1.040708\n",
       "..          ...       ...       ...       ...       ...       ...       ...\n",
       "100  2019-12-02  1.216280  1.546914  1.425061  1.075997  1.463641  1.720717\n",
       "101  2019-12-09  1.222821  1.572286  1.432660  1.038855  1.421496  1.752239\n",
       "102  2019-12-16  1.224418  1.596800  1.453455  1.104094  1.604362  1.784896\n",
       "103  2019-12-23  1.226504  1.656000  1.521226  1.113728  1.567170  1.802472\n",
       "104  2019-12-30  1.213014  1.678000  1.503360  1.098475  1.540883  1.788185\n",
       "\n",
       "[105 rows x 7 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "pd.read_csv(os.path.join('files','stocks.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8f791f79-fefc-4601-b409-22ba6235a1bd",
   "metadata": {},
   "outputs": [
    {
     "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>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>e</th>\n",
       "      <th>f</th>\n",
       "      <th>g</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>1.018172</td>\n",
       "      <td>1.011943</td>\n",
       "      <td>1.061881</td>\n",
       "      <td>0.959968</td>\n",
       "      <td>1.053526</td>\n",
       "      <td>1.015988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>1.032008</td>\n",
       "      <td>1.019771</td>\n",
       "      <td>1.053240</td>\n",
       "      <td>0.970243</td>\n",
       "      <td>1.049860</td>\n",
       "      <td>1.020524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>1.066783</td>\n",
       "      <td>0.980057</td>\n",
       "      <td>1.140676</td>\n",
       "      <td>1.016858</td>\n",
       "      <td>1.307681</td>\n",
       "      <td>1.066561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.008773</td>\n",
       "      <td>0.917143</td>\n",
       "      <td>1.163374</td>\n",
       "      <td>1.018357</td>\n",
       "      <td>1.273537</td>\n",
       "      <td>1.040708</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>1.216280</td>\n",
       "      <td>1.546914</td>\n",
       "      <td>1.425061</td>\n",
       "      <td>1.075997</td>\n",
       "      <td>1.463641</td>\n",
       "      <td>1.720717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-12-09</td>\n",
       "      <td>1.222821</td>\n",
       "      <td>1.572286</td>\n",
       "      <td>1.432660</td>\n",
       "      <td>1.038855</td>\n",
       "      <td>1.421496</td>\n",
       "      <td>1.752239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-12-16</td>\n",
       "      <td>1.224418</td>\n",
       "      <td>1.596800</td>\n",
       "      <td>1.453455</td>\n",
       "      <td>1.104094</td>\n",
       "      <td>1.604362</td>\n",
       "      <td>1.784896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.656000</td>\n",
       "      <td>1.521226</td>\n",
       "      <td>1.113728</td>\n",
       "      <td>1.567170</td>\n",
       "      <td>1.802472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>1.213014</td>\n",
       "      <td>1.678000</td>\n",
       "      <td>1.503360</td>\n",
       "      <td>1.098475</td>\n",
       "      <td>1.540883</td>\n",
       "      <td>1.788185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              a         b         c         d         e         f         g\n",
       "0    2018-01-01  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000\n",
       "1    2018-01-08  1.018172  1.011943  1.061881  0.959968  1.053526  1.015988\n",
       "2    2018-01-15  1.032008  1.019771  1.053240  0.970243  1.049860  1.020524\n",
       "3    2018-01-22  1.066783  0.980057  1.140676  1.016858  1.307681  1.066561\n",
       "4    2018-01-29  1.008773  0.917143  1.163374  1.018357  1.273537  1.040708\n",
       "..          ...       ...       ...       ...       ...       ...       ...\n",
       "100  2019-12-02  1.216280  1.546914  1.425061  1.075997  1.463641  1.720717\n",
       "101  2019-12-09  1.222821  1.572286  1.432660  1.038855  1.421496  1.752239\n",
       "102  2019-12-16  1.224418  1.596800  1.453455  1.104094  1.604362  1.784896\n",
       "103  2019-12-23  1.226504  1.656000  1.521226  1.113728  1.567170  1.802472\n",
       "104  2019-12-30  1.213014  1.678000  1.503360  1.098475  1.540883  1.788185\n",
       "\n",
       "[105 rows x 7 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(os.path.join('files','stocks-noheader.csv'),names=list('abcdefg'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f56477ad-921c-4957-81e0-998f5a4ac5d0",
   "metadata": {},
   "outputs": [
    {
     "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>GOOG</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>FB</th>\n",
       "      <th>NFLX</th>\n",
       "      <th>MSFT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>1.018172</td>\n",
       "      <td>1.011943</td>\n",
       "      <td>1.061881</td>\n",
       "      <td>0.959968</td>\n",
       "      <td>1.053526</td>\n",
       "      <td>1.015988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-15</th>\n",
       "      <td>1.032008</td>\n",
       "      <td>1.019771</td>\n",
       "      <td>1.053240</td>\n",
       "      <td>0.970243</td>\n",
       "      <td>1.049860</td>\n",
       "      <td>1.020524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-22</th>\n",
       "      <td>1.066783</td>\n",
       "      <td>0.980057</td>\n",
       "      <td>1.140676</td>\n",
       "      <td>1.016858</td>\n",
       "      <td>1.307681</td>\n",
       "      <td>1.066561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-29</th>\n",
       "      <td>1.008773</td>\n",
       "      <td>0.917143</td>\n",
       "      <td>1.163374</td>\n",
       "      <td>1.018357</td>\n",
       "      <td>1.273537</td>\n",
       "      <td>1.040708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-02</th>\n",
       "      <td>1.216280</td>\n",
       "      <td>1.546914</td>\n",
       "      <td>1.425061</td>\n",
       "      <td>1.075997</td>\n",
       "      <td>1.463641</td>\n",
       "      <td>1.720717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-09</th>\n",
       "      <td>1.222821</td>\n",
       "      <td>1.572286</td>\n",
       "      <td>1.432660</td>\n",
       "      <td>1.038855</td>\n",
       "      <td>1.421496</td>\n",
       "      <td>1.752239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-16</th>\n",
       "      <td>1.224418</td>\n",
       "      <td>1.596800</td>\n",
       "      <td>1.453455</td>\n",
       "      <td>1.104094</td>\n",
       "      <td>1.604362</td>\n",
       "      <td>1.784896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-23</th>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.656000</td>\n",
       "      <td>1.521226</td>\n",
       "      <td>1.113728</td>\n",
       "      <td>1.567170</td>\n",
       "      <td>1.802472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-30</th>\n",
       "      <td>1.213014</td>\n",
       "      <td>1.678000</td>\n",
       "      <td>1.503360</td>\n",
       "      <td>1.098475</td>\n",
       "      <td>1.540883</td>\n",
       "      <td>1.788185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                GOOG      AAPL      AMZN        FB      NFLX      MSFT\n",
       "date                                                                  \n",
       "2018-01-01  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000\n",
       "2018-01-08  1.018172  1.011943  1.061881  0.959968  1.053526  1.015988\n",
       "2018-01-15  1.032008  1.019771  1.053240  0.970243  1.049860  1.020524\n",
       "2018-01-22  1.066783  0.980057  1.140676  1.016858  1.307681  1.066561\n",
       "2018-01-29  1.008773  0.917143  1.163374  1.018357  1.273537  1.040708\n",
       "...              ...       ...       ...       ...       ...       ...\n",
       "2019-12-02  1.216280  1.546914  1.425061  1.075997  1.463641  1.720717\n",
       "2019-12-09  1.222821  1.572286  1.432660  1.038855  1.421496  1.752239\n",
       "2019-12-16  1.224418  1.596800  1.453455  1.104094  1.604362  1.784896\n",
       "2019-12-23  1.226504  1.656000  1.521226  1.113728  1.567170  1.802472\n",
       "2019-12-30  1.213014  1.678000  1.503360  1.098475  1.540883  1.788185\n",
       "\n",
       "[105 rows x 6 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(os.path.join('files','stocks.csv'),index_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d863d2cc-4063-4695-95a6-4db9f078dc32",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>AAPL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>1.018172</td>\n",
       "      <td>1.011943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>1.032008</td>\n",
       "      <td>1.019771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>1.066783</td>\n",
       "      <td>0.980057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.008773</td>\n",
       "      <td>0.917143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>1.216280</td>\n",
       "      <td>1.546914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-12-09</td>\n",
       "      <td>1.222821</td>\n",
       "      <td>1.572286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-12-16</td>\n",
       "      <td>1.224418</td>\n",
       "      <td>1.596800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.656000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>1.213014</td>\n",
       "      <td>1.678000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date      GOOG      AAPL\n",
       "0    2018-01-01  1.000000  1.000000\n",
       "1    2018-01-08  1.018172  1.011943\n",
       "2    2018-01-15  1.032008  1.019771\n",
       "3    2018-01-22  1.066783  0.980057\n",
       "4    2018-01-29  1.008773  0.917143\n",
       "..          ...       ...       ...\n",
       "100  2019-12-02  1.216280  1.546914\n",
       "101  2019-12-09  1.222821  1.572286\n",
       "102  2019-12-16  1.224418  1.596800\n",
       "103  2019-12-23  1.226504  1.656000\n",
       "104  2019-12-30  1.213014  1.678000\n",
       "\n",
       "[105 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(os.path.join('files','stocks.csv'),usecols=[0,1,2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5048c5e5-32e3-4a70-ab20-1dd337e03254",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>MSFT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>1.018172</td>\n",
       "      <td>1.015988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>1.032008</td>\n",
       "      <td>1.020524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>1.066783</td>\n",
       "      <td>1.066561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.008773</td>\n",
       "      <td>1.040708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>1.216280</td>\n",
       "      <td>1.720717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-12-09</td>\n",
       "      <td>1.222821</td>\n",
       "      <td>1.752239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-12-16</td>\n",
       "      <td>1.224418</td>\n",
       "      <td>1.784896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.802472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>1.213014</td>\n",
       "      <td>1.788185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date      GOOG      MSFT\n",
       "0    2018-01-01  1.000000  1.000000\n",
       "1    2018-01-08  1.018172  1.015988\n",
       "2    2018-01-15  1.032008  1.020524\n",
       "3    2018-01-22  1.066783  1.066561\n",
       "4    2018-01-29  1.008773  1.040708\n",
       "..          ...       ...       ...\n",
       "100  2019-12-02  1.216280  1.720717\n",
       "101  2019-12-09  1.222821  1.752239\n",
       "102  2019-12-16  1.224418  1.784896\n",
       "103  2019-12-23  1.226504  1.802472\n",
       "104  2019-12-30  1.213014  1.788185\n",
       "\n",
       "[105 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(os.path.join('files','stocks.csv'),usecols=['date','GOOG','MSFT'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1e5c5813-6b5c-47bf-ba11-10bb8e2e8ae9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2018-01-01\n",
       "1      2018-01-08\n",
       "2      2018-01-15\n",
       "3      2018-01-22\n",
       "4      2018-01-29\n",
       "          ...    \n",
       "100    2019-12-02\n",
       "101    2019-12-09\n",
       "102    2019-12-16\n",
       "103    2019-12-23\n",
       "104    2019-12-30\n",
       "Name: date, Length: 105, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6a0485a0-c194-48bb-a656-43f69b3d1120",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     2018-01-01\n",
       "1     2018-01-08\n",
       "2     2018-01-15\n",
       "3     2018-01-22\n",
       "4     2018-01-29\n",
       "         ...    \n",
       "100   2019-12-02\n",
       "101   2019-12-09\n",
       "102   2019-12-16\n",
       "103   2019-12-23\n",
       "104   2019-12-30\n",
       "Name: date, Length: 105, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(os.path.join('files','stocks.csv'),usecols=['date','GOOG','MSFT'],parse_dates=['date'])\n",
    "df['date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4745a79c-9280-4622-b528-f9505b322e08",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "      <th>Manufacturing Price</th>\n",
       "      <th>Sale Price</th>\n",
       "      <th>Gross Sales</th>\n",
       "      <th>Discounts</th>\n",
       "      <th>Sales</th>\n",
       "      <th>COGS</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Date</th>\n",
       "      <th>Month Number</th>\n",
       "      <th>Month Name</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1618.5</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>32370.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32370.00</td>\n",
       "      <td>16185.0</td>\n",
       "      <td>16185.00</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Government</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1321.0</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>26420.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>26420.00</td>\n",
       "      <td>13210.0</td>\n",
       "      <td>13210.00</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>France</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>2178.0</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>32670.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32670.00</td>\n",
       "      <td>21780.0</td>\n",
       "      <td>10890.00</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>888.0</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>13320.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13320.00</td>\n",
       "      <td>8880.0</td>\n",
       "      <td>4440.00</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>2470.0</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>37050.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>37050.00</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>12350.00</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>France</td>\n",
       "      <td>Amarilla</td>\n",
       "      <td>High</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>260</td>\n",
       "      <td>300</td>\n",
       "      <td>742500.0</td>\n",
       "      <td>111375.00</td>\n",
       "      <td>631125.00</td>\n",
       "      <td>618750.0</td>\n",
       "      <td>12375.00</td>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Amarilla</td>\n",
       "      <td>High</td>\n",
       "      <td>546.0</td>\n",
       "      <td>260</td>\n",
       "      <td>300</td>\n",
       "      <td>163800.0</td>\n",
       "      <td>24570.00</td>\n",
       "      <td>139230.00</td>\n",
       "      <td>136500.0</td>\n",
       "      <td>2730.00</td>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>Government</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Montana</td>\n",
       "      <td>High</td>\n",
       "      <td>1368.0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>9576.0</td>\n",
       "      <td>1436.40</td>\n",
       "      <td>8139.60</td>\n",
       "      <td>6840.0</td>\n",
       "      <td>1299.60</td>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>High</td>\n",
       "      <td>723.0</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>5061.0</td>\n",
       "      <td>759.15</td>\n",
       "      <td>4301.85</td>\n",
       "      <td>3615.0</td>\n",
       "      <td>686.85</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699</th>\n",
       "      <td>Channel Partners</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>VTT</td>\n",
       "      <td>High</td>\n",
       "      <td>1806.0</td>\n",
       "      <td>250</td>\n",
       "      <td>12</td>\n",
       "      <td>21672.0</td>\n",
       "      <td>3250.80</td>\n",
       "      <td>18421.20</td>\n",
       "      <td>5418.0</td>\n",
       "      <td>13003.20</td>\n",
       "      <td>2014-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>May</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>700 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Segment                   Country    Product Discount Band  \\\n",
       "0          Government                    Canada  Carretera          None   \n",
       "1          Government                   Germany  Carretera          None   \n",
       "2           Midmarket                    France  Carretera          None   \n",
       "3           Midmarket                   Germany  Carretera          None   \n",
       "4           Midmarket                    Mexico  Carretera          None   \n",
       "..                ...                       ...        ...           ...   \n",
       "695    Small Business                    France   Amarilla          High   \n",
       "696    Small Business                    Mexico   Amarilla          High   \n",
       "697        Government                    Mexico    Montana          High   \n",
       "698        Government                    Canada      Paseo          High   \n",
       "699  Channel Partners  United States of America        VTT          High   \n",
       "\n",
       "     Units Sold  Manufacturing Price  Sale Price  Gross Sales  Discounts  \\\n",
       "0        1618.5                    3          20      32370.0       0.00   \n",
       "1        1321.0                    3          20      26420.0       0.00   \n",
       "2        2178.0                    3          15      32670.0       0.00   \n",
       "3         888.0                    3          15      13320.0       0.00   \n",
       "4        2470.0                    3          15      37050.0       0.00   \n",
       "..          ...                  ...         ...          ...        ...   \n",
       "695      2475.0                  260         300     742500.0  111375.00   \n",
       "696       546.0                  260         300     163800.0   24570.00   \n",
       "697      1368.0                    5           7       9576.0    1436.40   \n",
       "698       723.0                   10           7       5061.0     759.15   \n",
       "699      1806.0                  250          12      21672.0    3250.80   \n",
       "\n",
       "         Sales      COGS    Profit       Date  Month Number Month Name  Year  \n",
       "0     32370.00   16185.0  16185.00 2014-01-01             1    January  2014  \n",
       "1     26420.00   13210.0  13210.00 2014-01-01             1    January  2014  \n",
       "2     32670.00   21780.0  10890.00 2014-06-01             6       June  2014  \n",
       "3     13320.00    8880.0   4440.00 2014-06-01             6       June  2014  \n",
       "4     37050.00   24700.0  12350.00 2014-06-01             6       June  2014  \n",
       "..         ...       ...       ...        ...           ...        ...   ...  \n",
       "695  631125.00  618750.0  12375.00 2014-03-01             3      March  2014  \n",
       "696  139230.00  136500.0   2730.00 2014-10-01            10    October  2014  \n",
       "697    8139.60    6840.0   1299.60 2014-02-01             2   February  2014  \n",
       "698    4301.85    3615.0    686.85 2014-04-01             4      April  2014  \n",
       "699   18421.20    5418.0  13003.20 2014-05-01             5        May  2014  \n",
       "\n",
       "[700 rows x 16 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_excel(os.path.join('files','Sample.xlsx'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "256984fd-96cb-4bd6-a910-2e57f632fd16",
   "metadata": {},
   "outputs": [
    {
     "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>date</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>FB</th>\n",
       "      <th>NFLX</th>\n",
       "      <th>MSFT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>1.018172</td>\n",
       "      <td>1.011943</td>\n",
       "      <td>1.061881</td>\n",
       "      <td>0.959968</td>\n",
       "      <td>1.053526</td>\n",
       "      <td>1.015988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>1.032008</td>\n",
       "      <td>1.019771</td>\n",
       "      <td>1.053240</td>\n",
       "      <td>0.970243</td>\n",
       "      <td>1.049860</td>\n",
       "      <td>1.020524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>1.066783</td>\n",
       "      <td>0.980057</td>\n",
       "      <td>1.140676</td>\n",
       "      <td>1.016858</td>\n",
       "      <td>1.307681</td>\n",
       "      <td>1.066561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.008773</td>\n",
       "      <td>0.917143</td>\n",
       "      <td>1.163374</td>\n",
       "      <td>1.018357</td>\n",
       "      <td>1.273537</td>\n",
       "      <td>1.040708</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>1.216280</td>\n",
       "      <td>1.546914</td>\n",
       "      <td>1.425061</td>\n",
       "      <td>1.075997</td>\n",
       "      <td>1.463641</td>\n",
       "      <td>1.720717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-12-09</td>\n",
       "      <td>1.222821</td>\n",
       "      <td>1.572286</td>\n",
       "      <td>1.432660</td>\n",
       "      <td>1.038855</td>\n",
       "      <td>1.421496</td>\n",
       "      <td>1.752239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-12-16</td>\n",
       "      <td>1.224418</td>\n",
       "      <td>1.596800</td>\n",
       "      <td>1.453455</td>\n",
       "      <td>1.104094</td>\n",
       "      <td>1.604362</td>\n",
       "      <td>1.784896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.656000</td>\n",
       "      <td>1.521226</td>\n",
       "      <td>1.113728</td>\n",
       "      <td>1.567170</td>\n",
       "      <td>1.802472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>1.213014</td>\n",
       "      <td>1.678000</td>\n",
       "      <td>1.503360</td>\n",
       "      <td>1.098475</td>\n",
       "      <td>1.540883</td>\n",
       "      <td>1.788185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date      GOOG      AAPL      AMZN        FB      NFLX      MSFT\n",
       "0   2018-01-01  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000\n",
       "1   2018-01-08  1.018172  1.011943  1.061881  0.959968  1.053526  1.015988\n",
       "2   2018-01-15  1.032008  1.019771  1.053240  0.970243  1.049860  1.020524\n",
       "3   2018-01-22  1.066783  0.980057  1.140676  1.016858  1.307681  1.066561\n",
       "4   2018-01-29  1.008773  0.917143  1.163374  1.018357  1.273537  1.040708\n",
       "..         ...       ...       ...       ...       ...       ...       ...\n",
       "100 2019-12-02  1.216280  1.546914  1.425061  1.075997  1.463641  1.720717\n",
       "101 2019-12-09  1.222821  1.572286  1.432660  1.038855  1.421496  1.752239\n",
       "102 2019-12-16  1.224418  1.596800  1.453455  1.104094  1.604362  1.784896\n",
       "103 2019-12-23  1.226504  1.656000  1.521226  1.113728  1.567170  1.802472\n",
       "104 2019-12-30  1.213014  1.678000  1.503360  1.098475  1.540883  1.788185\n",
       "\n",
       "[105 rows x 7 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_excel(os.path.join('files','Sample.xlsx'),sheet_name='Sheet2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6fb38fe7-5a25-486e-a3b9-26b999cb6164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Sheet1':               Segment                   Country    Product Discount Band  \\\n",
       " 0          Government                    Canada  Carretera          None   \n",
       " 1          Government                   Germany  Carretera          None   \n",
       " 2           Midmarket                    France  Carretera          None   \n",
       " 3           Midmarket                   Germany  Carretera          None   \n",
       " 4           Midmarket                    Mexico  Carretera          None   \n",
       " ..                ...                       ...        ...           ...   \n",
       " 695    Small Business                    France   Amarilla          High   \n",
       " 696    Small Business                    Mexico   Amarilla          High   \n",
       " 697        Government                    Mexico    Montana          High   \n",
       " 698        Government                    Canada      Paseo          High   \n",
       " 699  Channel Partners  United States of America        VTT          High   \n",
       " \n",
       "      Units Sold  Manufacturing Price  Sale Price  Gross Sales  Discounts  \\\n",
       " 0        1618.5                    3          20      32370.0       0.00   \n",
       " 1        1321.0                    3          20      26420.0       0.00   \n",
       " 2        2178.0                    3          15      32670.0       0.00   \n",
       " 3         888.0                    3          15      13320.0       0.00   \n",
       " 4        2470.0                    3          15      37050.0       0.00   \n",
       " ..          ...                  ...         ...          ...        ...   \n",
       " 695      2475.0                  260         300     742500.0  111375.00   \n",
       " 696       546.0                  260         300     163800.0   24570.00   \n",
       " 697      1368.0                    5           7       9576.0    1436.40   \n",
       " 698       723.0                   10           7       5061.0     759.15   \n",
       " 699      1806.0                  250          12      21672.0    3250.80   \n",
       " \n",
       "          Sales      COGS    Profit       Date  Month Number Month Name  Year  \n",
       " 0     32370.00   16185.0  16185.00 2014-01-01             1    January  2014  \n",
       " 1     26420.00   13210.0  13210.00 2014-01-01             1    January  2014  \n",
       " 2     32670.00   21780.0  10890.00 2014-06-01             6       June  2014  \n",
       " 3     13320.00    8880.0   4440.00 2014-06-01             6       June  2014  \n",
       " 4     37050.00   24700.0  12350.00 2014-06-01             6       June  2014  \n",
       " ..         ...       ...       ...        ...           ...        ...   ...  \n",
       " 695  631125.00  618750.0  12375.00 2014-03-01             3      March  2014  \n",
       " 696  139230.00  136500.0   2730.00 2014-10-01            10    October  2014  \n",
       " 697    8139.60    6840.0   1299.60 2014-02-01             2   February  2014  \n",
       " 698    4301.85    3615.0    686.85 2014-04-01             4      April  2014  \n",
       " 699   18421.20    5418.0  13003.20 2014-05-01             5        May  2014  \n",
       " \n",
       " [700 rows x 16 columns],\n",
       " 'Sheet2':           date      GOOG      AAPL      AMZN        FB      NFLX      MSFT\n",
       " 0   2018-01-01  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000\n",
       " 1   2018-01-08  1.018172  1.011943  1.061881  0.959968  1.053526  1.015988\n",
       " 2   2018-01-15  1.032008  1.019771  1.053240  0.970243  1.049860  1.020524\n",
       " 3   2018-01-22  1.066783  0.980057  1.140676  1.016858  1.307681  1.066561\n",
       " 4   2018-01-29  1.008773  0.917143  1.163374  1.018357  1.273537  1.040708\n",
       " ..         ...       ...       ...       ...       ...       ...       ...\n",
       " 100 2019-12-02  1.216280  1.546914  1.425061  1.075997  1.463641  1.720717\n",
       " 101 2019-12-09  1.222821  1.572286  1.432660  1.038855  1.421496  1.752239\n",
       " 102 2019-12-16  1.224418  1.596800  1.453455  1.104094  1.604362  1.784896\n",
       " 103 2019-12-23  1.226504  1.656000  1.521226  1.113728  1.567170  1.802472\n",
       " 104 2019-12-30  1.213014  1.678000  1.503360  1.098475  1.540883  1.788185\n",
       " \n",
       " [105 rows x 7 columns]}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_excel(os.path.join('files','Sample.xlsx'),sheet_name=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "05f509a0-bd8e-445e-b5f3-efda30ca2229",
   "metadata": {},
   "outputs": [
    {
     "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>29</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.901742</td>\n",
       "      <td>0.868402</td>\n",
       "      <td>0.626751</td>\n",
       "      <td>0.805517</td>\n",
       "      <td>0.702326</td>\n",
       "      <td>0.635825</td>\n",
       "      <td>0.081778</td>\n",
       "      <td>0.370203</td>\n",
       "      <td>0.119913</td>\n",
       "      <td>0.797300</td>\n",
       "      <td>...</td>\n",
       "      <td>0.907335</td>\n",
       "      <td>0.242210</td>\n",
       "      <td>0.860111</td>\n",
       "      <td>0.764627</td>\n",
       "      <td>0.243772</td>\n",
       "      <td>0.744785</td>\n",
       "      <td>0.944923</td>\n",
       "      <td>0.991802</td>\n",
       "      <td>0.775039</td>\n",
       "      <td>0.412386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.491426</td>\n",
       "      <td>0.584446</td>\n",
       "      <td>0.525093</td>\n",
       "      <td>0.719466</td>\n",
       "      <td>0.765294</td>\n",
       "      <td>0.368640</td>\n",
       "      <td>0.439217</td>\n",
       "      <td>0.130738</td>\n",
       "      <td>0.202588</td>\n",
       "      <td>0.948425</td>\n",
       "      <td>...</td>\n",
       "      <td>0.469663</td>\n",
       "      <td>0.990004</td>\n",
       "      <td>0.864332</td>\n",
       "      <td>0.768623</td>\n",
       "      <td>0.451735</td>\n",
       "      <td>0.677281</td>\n",
       "      <td>0.016003</td>\n",
       "      <td>0.733019</td>\n",
       "      <td>0.439045</td>\n",
       "      <td>0.404881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.798883</td>\n",
       "      <td>0.821652</td>\n",
       "      <td>0.390241</td>\n",
       "      <td>0.376169</td>\n",
       "      <td>0.809637</td>\n",
       "      <td>0.485191</td>\n",
       "      <td>0.535743</td>\n",
       "      <td>0.961506</td>\n",
       "      <td>0.333799</td>\n",
       "      <td>0.040235</td>\n",
       "      <td>...</td>\n",
       "      <td>0.597363</td>\n",
       "      <td>0.163290</td>\n",
       "      <td>0.551183</td>\n",
       "      <td>0.110727</td>\n",
       "      <td>0.180119</td>\n",
       "      <td>0.188264</td>\n",
       "      <td>0.309836</td>\n",
       "      <td>0.129119</td>\n",
       "      <td>0.233958</td>\n",
       "      <td>0.301704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.374281</td>\n",
       "      <td>0.025460</td>\n",
       "      <td>0.466751</td>\n",
       "      <td>0.811396</td>\n",
       "      <td>0.470298</td>\n",
       "      <td>0.685114</td>\n",
       "      <td>0.795139</td>\n",
       "      <td>0.375138</td>\n",
       "      <td>0.708736</td>\n",
       "      <td>0.113676</td>\n",
       "      <td>...</td>\n",
       "      <td>0.916064</td>\n",
       "      <td>0.663030</td>\n",
       "      <td>0.230242</td>\n",
       "      <td>0.624192</td>\n",
       "      <td>0.407815</td>\n",
       "      <td>0.740665</td>\n",
       "      <td>0.504651</td>\n",
       "      <td>0.021896</td>\n",
       "      <td>0.235594</td>\n",
       "      <td>0.978403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.260491</td>\n",
       "      <td>0.177377</td>\n",
       "      <td>0.962863</td>\n",
       "      <td>0.133829</td>\n",
       "      <td>0.716351</td>\n",
       "      <td>0.557946</td>\n",
       "      <td>0.907913</td>\n",
       "      <td>0.872178</td>\n",
       "      <td>0.256827</td>\n",
       "      <td>0.723024</td>\n",
       "      <td>...</td>\n",
       "      <td>0.416517</td>\n",
       "      <td>0.845554</td>\n",
       "      <td>0.001661</td>\n",
       "      <td>0.000941</td>\n",
       "      <td>0.205084</td>\n",
       "      <td>0.327311</td>\n",
       "      <td>0.065750</td>\n",
       "      <td>0.462068</td>\n",
       "      <td>0.800227</td>\n",
       "      <td>0.652551</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>0.384575</td>\n",
       "      <td>0.808233</td>\n",
       "      <td>0.410293</td>\n",
       "      <td>0.546478</td>\n",
       "      <td>0.363510</td>\n",
       "      <td>0.550752</td>\n",
       "      <td>0.865433</td>\n",
       "      <td>0.263930</td>\n",
       "      <td>0.089405</td>\n",
       "      <td>0.020224</td>\n",
       "      <td>...</td>\n",
       "      <td>0.634256</td>\n",
       "      <td>0.488520</td>\n",
       "      <td>0.682969</td>\n",
       "      <td>0.964561</td>\n",
       "      <td>0.899604</td>\n",
       "      <td>0.378423</td>\n",
       "      <td>0.644292</td>\n",
       "      <td>0.677258</td>\n",
       "      <td>0.353208</td>\n",
       "      <td>0.098977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.972265</td>\n",
       "      <td>0.855608</td>\n",
       "      <td>0.431820</td>\n",
       "      <td>0.887729</td>\n",
       "      <td>0.095447</td>\n",
       "      <td>0.013635</td>\n",
       "      <td>0.005369</td>\n",
       "      <td>0.053794</td>\n",
       "      <td>0.947760</td>\n",
       "      <td>0.156041</td>\n",
       "      <td>...</td>\n",
       "      <td>0.914726</td>\n",
       "      <td>0.640468</td>\n",
       "      <td>0.527957</td>\n",
       "      <td>0.277913</td>\n",
       "      <td>0.429337</td>\n",
       "      <td>0.589427</td>\n",
       "      <td>0.609376</td>\n",
       "      <td>0.701999</td>\n",
       "      <td>0.274253</td>\n",
       "      <td>0.105528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>0.443013</td>\n",
       "      <td>0.070544</td>\n",
       "      <td>0.189925</td>\n",
       "      <td>0.031860</td>\n",
       "      <td>0.706069</td>\n",
       "      <td>0.678759</td>\n",
       "      <td>0.608366</td>\n",
       "      <td>0.090716</td>\n",
       "      <td>0.644679</td>\n",
       "      <td>0.498870</td>\n",
       "      <td>...</td>\n",
       "      <td>0.685892</td>\n",
       "      <td>0.890387</td>\n",
       "      <td>0.888898</td>\n",
       "      <td>0.443587</td>\n",
       "      <td>0.018628</td>\n",
       "      <td>0.549022</td>\n",
       "      <td>0.642324</td>\n",
       "      <td>0.479254</td>\n",
       "      <td>0.050797</td>\n",
       "      <td>0.228636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.077568</td>\n",
       "      <td>0.949501</td>\n",
       "      <td>0.485272</td>\n",
       "      <td>0.578740</td>\n",
       "      <td>0.499380</td>\n",
       "      <td>0.327019</td>\n",
       "      <td>0.343815</td>\n",
       "      <td>0.874237</td>\n",
       "      <td>0.294809</td>\n",
       "      <td>0.293207</td>\n",
       "      <td>...</td>\n",
       "      <td>0.765215</td>\n",
       "      <td>0.099779</td>\n",
       "      <td>0.944932</td>\n",
       "      <td>0.646978</td>\n",
       "      <td>0.565845</td>\n",
       "      <td>0.961522</td>\n",
       "      <td>0.042999</td>\n",
       "      <td>0.745851</td>\n",
       "      <td>0.070118</td>\n",
       "      <td>0.014579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.155376</td>\n",
       "      <td>0.957772</td>\n",
       "      <td>0.817545</td>\n",
       "      <td>0.087401</td>\n",
       "      <td>0.692598</td>\n",
       "      <td>0.468097</td>\n",
       "      <td>0.913008</td>\n",
       "      <td>0.567578</td>\n",
       "      <td>0.247393</td>\n",
       "      <td>0.620830</td>\n",
       "      <td>...</td>\n",
       "      <td>0.392456</td>\n",
       "      <td>0.260810</td>\n",
       "      <td>0.912724</td>\n",
       "      <td>0.179538</td>\n",
       "      <td>0.363543</td>\n",
       "      <td>0.810410</td>\n",
       "      <td>0.292306</td>\n",
       "      <td>0.195655</td>\n",
       "      <td>0.623025</td>\n",
       "      <td>0.853659</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4         5         6   \\\n",
       "0   0.901742  0.868402  0.626751  0.805517  0.702326  0.635825  0.081778   \n",
       "1   0.491426  0.584446  0.525093  0.719466  0.765294  0.368640  0.439217   \n",
       "2   0.798883  0.821652  0.390241  0.376169  0.809637  0.485191  0.535743   \n",
       "3   0.374281  0.025460  0.466751  0.811396  0.470298  0.685114  0.795139   \n",
       "4   0.260491  0.177377  0.962863  0.133829  0.716351  0.557946  0.907913   \n",
       "..       ...       ...       ...       ...       ...       ...       ...   \n",
       "95  0.384575  0.808233  0.410293  0.546478  0.363510  0.550752  0.865433   \n",
       "96  0.972265  0.855608  0.431820  0.887729  0.095447  0.013635  0.005369   \n",
       "97  0.443013  0.070544  0.189925  0.031860  0.706069  0.678759  0.608366   \n",
       "98  0.077568  0.949501  0.485272  0.578740  0.499380  0.327019  0.343815   \n",
       "99  0.155376  0.957772  0.817545  0.087401  0.692598  0.468097  0.913008   \n",
       "\n",
       "          7         8         9   ...        20        21        22        23  \\\n",
       "0   0.370203  0.119913  0.797300  ...  0.907335  0.242210  0.860111  0.764627   \n",
       "1   0.130738  0.202588  0.948425  ...  0.469663  0.990004  0.864332  0.768623   \n",
       "2   0.961506  0.333799  0.040235  ...  0.597363  0.163290  0.551183  0.110727   \n",
       "3   0.375138  0.708736  0.113676  ...  0.916064  0.663030  0.230242  0.624192   \n",
       "4   0.872178  0.256827  0.723024  ...  0.416517  0.845554  0.001661  0.000941   \n",
       "..       ...       ...       ...  ...       ...       ...       ...       ...   \n",
       "95  0.263930  0.089405  0.020224  ...  0.634256  0.488520  0.682969  0.964561   \n",
       "96  0.053794  0.947760  0.156041  ...  0.914726  0.640468  0.527957  0.277913   \n",
       "97  0.090716  0.644679  0.498870  ...  0.685892  0.890387  0.888898  0.443587   \n",
       "98  0.874237  0.294809  0.293207  ...  0.765215  0.099779  0.944932  0.646978   \n",
       "99  0.567578  0.247393  0.620830  ...  0.392456  0.260810  0.912724  0.179538   \n",
       "\n",
       "          24        25        26        27        28        29  \n",
       "0   0.243772  0.744785  0.944923  0.991802  0.775039  0.412386  \n",
       "1   0.451735  0.677281  0.016003  0.733019  0.439045  0.404881  \n",
       "2   0.180119  0.188264  0.309836  0.129119  0.233958  0.301704  \n",
       "3   0.407815  0.740665  0.504651  0.021896  0.235594  0.978403  \n",
       "4   0.205084  0.327311  0.065750  0.462068  0.800227  0.652551  \n",
       "..       ...       ...       ...       ...       ...       ...  \n",
       "95  0.899604  0.378423  0.644292  0.677258  0.353208  0.098977  \n",
       "96  0.429337  0.589427  0.609376  0.701999  0.274253  0.105528  \n",
       "97  0.018628  0.549022  0.642324  0.479254  0.050797  0.228636  \n",
       "98  0.565845  0.961522  0.042999  0.745851  0.070118  0.014579  \n",
       "99  0.363543  0.810410  0.292306  0.195655  0.623025  0.853659  \n",
       "\n",
       "[100 rows x 30 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(np.random.rand(100,30))\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5154a714-0a30-4fbd-91d4-ac4f59e9176c",
   "metadata": {},
   "outputs": [
    {
     "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>29</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.901742</td>\n",
       "      <td>0.868402</td>\n",
       "      <td>0.626751</td>\n",
       "      <td>0.805517</td>\n",
       "      <td>0.702326</td>\n",
       "      <td>0.635825</td>\n",
       "      <td>0.081778</td>\n",
       "      <td>0.370203</td>\n",
       "      <td>0.119913</td>\n",
       "      <td>0.797300</td>\n",
       "      <td>0.813393</td>\n",
       "      <td>0.217597</td>\n",
       "      <td>0.075991</td>\n",
       "      <td>0.641011</td>\n",
       "      <td>0.152553</td>\n",
       "      <td>0.398929</td>\n",
       "      <td>0.412747</td>\n",
       "      <td>0.495972</td>\n",
       "      <td>0.426923</td>\n",
       "      <td>0.057331</td>\n",
       "      <td>0.907335</td>\n",
       "      <td>0.242210</td>\n",
       "      <td>0.860111</td>\n",
       "      <td>0.764627</td>\n",
       "      <td>0.243772</td>\n",
       "      <td>0.744785</td>\n",
       "      <td>0.944923</td>\n",
       "      <td>0.991802</td>\n",
       "      <td>0.775039</td>\n",
       "      <td>0.412386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.491426</td>\n",
       "      <td>0.584446</td>\n",
       "      <td>0.525093</td>\n",
       "      <td>0.719466</td>\n",
       "      <td>0.765294</td>\n",
       "      <td>0.368640</td>\n",
       "      <td>0.439217</td>\n",
       "      <td>0.130738</td>\n",
       "      <td>0.202588</td>\n",
       "      <td>0.948425</td>\n",
       "      <td>0.567772</td>\n",
       "      <td>0.198878</td>\n",
       "      <td>0.924895</td>\n",
       "      <td>0.789798</td>\n",
       "      <td>0.067976</td>\n",
       "      <td>0.226943</td>\n",
       "      <td>0.250648</td>\n",
       "      <td>0.110083</td>\n",
       "      <td>0.086327</td>\n",
       "      <td>0.985833</td>\n",
       "      <td>0.469663</td>\n",
       "      <td>0.990004</td>\n",
       "      <td>0.864332</td>\n",
       "      <td>0.768623</td>\n",
       "      <td>0.451735</td>\n",
       "      <td>0.677281</td>\n",
       "      <td>0.016003</td>\n",
       "      <td>0.733019</td>\n",
       "      <td>0.439045</td>\n",
       "      <td>0.404881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.798883</td>\n",
       "      <td>0.821652</td>\n",
       "      <td>0.390241</td>\n",
       "      <td>0.376169</td>\n",
       "      <td>0.809637</td>\n",
       "      <td>0.485191</td>\n",
       "      <td>0.535743</td>\n",
       "      <td>0.961506</td>\n",
       "      <td>0.333799</td>\n",
       "      <td>0.040235</td>\n",
       "      <td>0.590649</td>\n",
       "      <td>0.948139</td>\n",
       "      <td>0.197314</td>\n",
       "      <td>0.429642</td>\n",
       "      <td>0.052509</td>\n",
       "      <td>0.685962</td>\n",
       "      <td>0.018500</td>\n",
       "      <td>0.424301</td>\n",
       "      <td>0.038459</td>\n",
       "      <td>0.436108</td>\n",
       "      <td>0.597363</td>\n",
       "      <td>0.163290</td>\n",
       "      <td>0.551183</td>\n",
       "      <td>0.110727</td>\n",
       "      <td>0.180119</td>\n",
       "      <td>0.188264</td>\n",
       "      <td>0.309836</td>\n",
       "      <td>0.129119</td>\n",
       "      <td>0.233958</td>\n",
       "      <td>0.301704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.374281</td>\n",
       "      <td>0.025460</td>\n",
       "      <td>0.466751</td>\n",
       "      <td>0.811396</td>\n",
       "      <td>0.470298</td>\n",
       "      <td>0.685114</td>\n",
       "      <td>0.795139</td>\n",
       "      <td>0.375138</td>\n",
       "      <td>0.708736</td>\n",
       "      <td>0.113676</td>\n",
       "      <td>0.043767</td>\n",
       "      <td>0.769843</td>\n",
       "      <td>0.971443</td>\n",
       "      <td>0.960800</td>\n",
       "      <td>0.183116</td>\n",
       "      <td>0.550305</td>\n",
       "      <td>0.300616</td>\n",
       "      <td>0.936178</td>\n",
       "      <td>0.384496</td>\n",
       "      <td>0.670216</td>\n",
       "      <td>0.916064</td>\n",
       "      <td>0.663030</td>\n",
       "      <td>0.230242</td>\n",
       "      <td>0.624192</td>\n",
       "      <td>0.407815</td>\n",
       "      <td>0.740665</td>\n",
       "      <td>0.504651</td>\n",
       "      <td>0.021896</td>\n",
       "      <td>0.235594</td>\n",
       "      <td>0.978403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.260491</td>\n",
       "      <td>0.177377</td>\n",
       "      <td>0.962863</td>\n",
       "      <td>0.133829</td>\n",
       "      <td>0.716351</td>\n",
       "      <td>0.557946</td>\n",
       "      <td>0.907913</td>\n",
       "      <td>0.872178</td>\n",
       "      <td>0.256827</td>\n",
       "      <td>0.723024</td>\n",
       "      <td>0.441635</td>\n",
       "      <td>0.960745</td>\n",
       "      <td>0.703610</td>\n",
       "      <td>0.900218</td>\n",
       "      <td>0.129143</td>\n",
       "      <td>0.691840</td>\n",
       "      <td>0.529385</td>\n",
       "      <td>0.225385</td>\n",
       "      <td>0.314935</td>\n",
       "      <td>0.663522</td>\n",
       "      <td>0.416517</td>\n",
       "      <td>0.845554</td>\n",
       "      <td>0.001661</td>\n",
       "      <td>0.000941</td>\n",
       "      <td>0.205084</td>\n",
       "      <td>0.327311</td>\n",
       "      <td>0.065750</td>\n",
       "      <td>0.462068</td>\n",
       "      <td>0.800227</td>\n",
       "      <td>0.652551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.823392</td>\n",
       "      <td>0.542735</td>\n",
       "      <td>0.647765</td>\n",
       "      <td>0.811117</td>\n",
       "      <td>0.824598</td>\n",
       "      <td>0.812442</td>\n",
       "      <td>0.790274</td>\n",
       "      <td>0.605702</td>\n",
       "      <td>0.257909</td>\n",
       "      <td>0.993247</td>\n",
       "      <td>0.568817</td>\n",
       "      <td>0.683365</td>\n",
       "      <td>0.086623</td>\n",
       "      <td>0.748251</td>\n",
       "      <td>0.145187</td>\n",
       "      <td>0.956925</td>\n",
       "      <td>0.709713</td>\n",
       "      <td>0.978972</td>\n",
       "      <td>0.391186</td>\n",
       "      <td>0.778853</td>\n",
       "      <td>0.644358</td>\n",
       "      <td>0.615774</td>\n",
       "      <td>0.038427</td>\n",
       "      <td>0.241094</td>\n",
       "      <td>0.911206</td>\n",
       "      <td>0.918750</td>\n",
       "      <td>0.052265</td>\n",
       "      <td>0.402419</td>\n",
       "      <td>0.607283</td>\n",
       "      <td>0.789062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.174582</td>\n",
       "      <td>0.814848</td>\n",
       "      <td>0.607036</td>\n",
       "      <td>0.418719</td>\n",
       "      <td>0.907148</td>\n",
       "      <td>0.089590</td>\n",
       "      <td>0.571128</td>\n",
       "      <td>0.903398</td>\n",
       "      <td>0.922132</td>\n",
       "      <td>0.058366</td>\n",
       "      <td>0.290822</td>\n",
       "      <td>0.726943</td>\n",
       "      <td>0.465682</td>\n",
       "      <td>0.629000</td>\n",
       "      <td>0.333665</td>\n",
       "      <td>0.270113</td>\n",
       "      <td>0.515332</td>\n",
       "      <td>0.977382</td>\n",
       "      <td>0.611564</td>\n",
       "      <td>0.913686</td>\n",
       "      <td>0.296590</td>\n",
       "      <td>0.209712</td>\n",
       "      <td>0.834807</td>\n",
       "      <td>0.673749</td>\n",
       "      <td>0.387952</td>\n",
       "      <td>0.185758</td>\n",
       "      <td>0.149772</td>\n",
       "      <td>0.865447</td>\n",
       "      <td>0.864838</td>\n",
       "      <td>0.734848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.546791</td>\n",
       "      <td>0.707528</td>\n",
       "      <td>0.979713</td>\n",
       "      <td>0.107482</td>\n",
       "      <td>0.593430</td>\n",
       "      <td>0.528918</td>\n",
       "      <td>0.590753</td>\n",
       "      <td>0.198078</td>\n",
       "      <td>0.626747</td>\n",
       "      <td>0.262134</td>\n",
       "      <td>0.955515</td>\n",
       "      <td>0.983084</td>\n",
       "      <td>0.069840</td>\n",
       "      <td>0.654970</td>\n",
       "      <td>0.257981</td>\n",
       "      <td>0.936330</td>\n",
       "      <td>0.294464</td>\n",
       "      <td>0.037339</td>\n",
       "      <td>0.527534</td>\n",
       "      <td>0.702398</td>\n",
       "      <td>0.119693</td>\n",
       "      <td>0.466901</td>\n",
       "      <td>0.070817</td>\n",
       "      <td>0.526581</td>\n",
       "      <td>0.108649</td>\n",
       "      <td>0.444628</td>\n",
       "      <td>0.918643</td>\n",
       "      <td>0.218161</td>\n",
       "      <td>0.628602</td>\n",
       "      <td>0.562219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.152891</td>\n",
       "      <td>0.870828</td>\n",
       "      <td>0.052070</td>\n",
       "      <td>0.943543</td>\n",
       "      <td>0.203708</td>\n",
       "      <td>0.019166</td>\n",
       "      <td>0.716120</td>\n",
       "      <td>0.539609</td>\n",
       "      <td>0.108131</td>\n",
       "      <td>0.339062</td>\n",
       "      <td>0.625137</td>\n",
       "      <td>0.645738</td>\n",
       "      <td>0.468916</td>\n",
       "      <td>0.060478</td>\n",
       "      <td>0.562937</td>\n",
       "      <td>0.133318</td>\n",
       "      <td>0.167932</td>\n",
       "      <td>0.508497</td>\n",
       "      <td>0.180976</td>\n",
       "      <td>0.754520</td>\n",
       "      <td>0.761375</td>\n",
       "      <td>0.060383</td>\n",
       "      <td>0.781094</td>\n",
       "      <td>0.384702</td>\n",
       "      <td>0.367787</td>\n",
       "      <td>0.543003</td>\n",
       "      <td>0.618757</td>\n",
       "      <td>0.459120</td>\n",
       "      <td>0.752381</td>\n",
       "      <td>0.280349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.622080</td>\n",
       "      <td>0.270636</td>\n",
       "      <td>0.906498</td>\n",
       "      <td>0.023314</td>\n",
       "      <td>0.676899</td>\n",
       "      <td>0.611577</td>\n",
       "      <td>0.568219</td>\n",
       "      <td>0.305085</td>\n",
       "      <td>0.816239</td>\n",
       "      <td>0.934662</td>\n",
       "      <td>0.216122</td>\n",
       "      <td>0.823190</td>\n",
       "      <td>0.611720</td>\n",
       "      <td>0.653541</td>\n",
       "      <td>0.423822</td>\n",
       "      <td>0.887000</td>\n",
       "      <td>0.039315</td>\n",
       "      <td>0.677546</td>\n",
       "      <td>0.431833</td>\n",
       "      <td>0.409528</td>\n",
       "      <td>0.884798</td>\n",
       "      <td>0.728613</td>\n",
       "      <td>0.370678</td>\n",
       "      <td>0.977302</td>\n",
       "      <td>0.581606</td>\n",
       "      <td>0.125268</td>\n",
       "      <td>0.196706</td>\n",
       "      <td>0.388035</td>\n",
       "      <td>0.942682</td>\n",
       "      <td>0.059056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.846489</td>\n",
       "      <td>0.269708</td>\n",
       "      <td>0.970902</td>\n",
       "      <td>0.671915</td>\n",
       "      <td>0.992466</td>\n",
       "      <td>0.250554</td>\n",
       "      <td>0.607763</td>\n",
       "      <td>0.724424</td>\n",
       "      <td>0.315379</td>\n",
       "      <td>0.634437</td>\n",
       "      <td>0.915385</td>\n",
       "      <td>0.469705</td>\n",
       "      <td>0.280737</td>\n",
       "      <td>0.052987</td>\n",
       "      <td>0.457430</td>\n",
       "      <td>0.169607</td>\n",
       "      <td>0.321497</td>\n",
       "      <td>0.652358</td>\n",
       "      <td>0.300634</td>\n",
       "      <td>0.903797</td>\n",
       "      <td>0.515073</td>\n",
       "      <td>0.028171</td>\n",
       "      <td>0.425426</td>\n",
       "      <td>0.603490</td>\n",
       "      <td>0.716513</td>\n",
       "      <td>0.123498</td>\n",
       "      <td>0.222629</td>\n",
       "      <td>0.910237</td>\n",
       "      <td>0.086722</td>\n",
       "      <td>0.716075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.069933</td>\n",
       "      <td>0.128561</td>\n",
       "      <td>0.787535</td>\n",
       "      <td>0.365745</td>\n",
       "      <td>0.779097</td>\n",
       "      <td>0.920280</td>\n",
       "      <td>0.246573</td>\n",
       "      <td>0.235344</td>\n",
       "      <td>0.660998</td>\n",
       "      <td>0.514938</td>\n",
       "      <td>0.973601</td>\n",
       "      <td>0.131641</td>\n",
       "      <td>0.372902</td>\n",
       "      <td>0.242042</td>\n",
       "      <td>0.620540</td>\n",
       "      <td>0.347847</td>\n",
       "      <td>0.079931</td>\n",
       "      <td>0.212704</td>\n",
       "      <td>0.538853</td>\n",
       "      <td>0.432121</td>\n",
       "      <td>0.069997</td>\n",
       "      <td>0.866002</td>\n",
       "      <td>0.541957</td>\n",
       "      <td>0.327762</td>\n",
       "      <td>0.050988</td>\n",
       "      <td>0.585496</td>\n",
       "      <td>0.310973</td>\n",
       "      <td>0.004999</td>\n",
       "      <td>0.820443</td>\n",
       "      <td>0.345355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.062334</td>\n",
       "      <td>0.923280</td>\n",
       "      <td>0.003589</td>\n",
       "      <td>0.478470</td>\n",
       "      <td>0.528231</td>\n",
       "      <td>0.195763</td>\n",
       "      <td>0.226064</td>\n",
       "      <td>0.268828</td>\n",
       "      <td>0.316619</td>\n",
       "      <td>0.269507</td>\n",
       "      <td>0.763287</td>\n",
       "      <td>0.632114</td>\n",
       "      <td>0.750555</td>\n",
       "      <td>0.299116</td>\n",
       "      <td>0.748178</td>\n",
       "      <td>0.319981</td>\n",
       "      <td>0.581872</td>\n",
       "      <td>0.239044</td>\n",
       "      <td>0.094453</td>\n",
       "      <td>0.584066</td>\n",
       "      <td>0.210230</td>\n",
       "      <td>0.043657</td>\n",
       "      <td>0.724076</td>\n",
       "      <td>0.428575</td>\n",
       "      <td>0.180019</td>\n",
       "      <td>0.877576</td>\n",
       "      <td>0.083257</td>\n",
       "      <td>0.458346</td>\n",
       "      <td>0.053451</td>\n",
       "      <td>0.315931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.443019</td>\n",
       "      <td>0.289886</td>\n",
       "      <td>0.788840</td>\n",
       "      <td>0.701972</td>\n",
       "      <td>0.952204</td>\n",
       "      <td>0.328908</td>\n",
       "      <td>0.009426</td>\n",
       "      <td>0.678261</td>\n",
       "      <td>0.631814</td>\n",
       "      <td>0.304550</td>\n",
       "      <td>0.515021</td>\n",
       "      <td>0.081605</td>\n",
       "      <td>0.293476</td>\n",
       "      <td>0.086111</td>\n",
       "      <td>0.211582</td>\n",
       "      <td>0.804969</td>\n",
       "      <td>0.404649</td>\n",
       "      <td>0.643264</td>\n",
       "      <td>0.916444</td>\n",
       "      <td>0.228347</td>\n",
       "      <td>0.446108</td>\n",
       "      <td>0.381073</td>\n",
       "      <td>0.761629</td>\n",
       "      <td>0.722589</td>\n",
       "      <td>0.741040</td>\n",
       "      <td>0.835229</td>\n",
       "      <td>0.258541</td>\n",
       "      <td>0.287785</td>\n",
       "      <td>0.146448</td>\n",
       "      <td>0.003330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.808068</td>\n",
       "      <td>0.018873</td>\n",
       "      <td>0.154060</td>\n",
       "      <td>0.193737</td>\n",
       "      <td>0.091614</td>\n",
       "      <td>0.032728</td>\n",
       "      <td>0.808892</td>\n",
       "      <td>0.336193</td>\n",
       "      <td>0.573263</td>\n",
       "      <td>0.538365</td>\n",
       "      <td>0.594855</td>\n",
       "      <td>0.433657</td>\n",
       "      <td>0.334472</td>\n",
       "      <td>0.057797</td>\n",
       "      <td>0.948607</td>\n",
       "      <td>0.967295</td>\n",
       "      <td>0.151642</td>\n",
       "      <td>0.350897</td>\n",
       "      <td>0.951102</td>\n",
       "      <td>0.960497</td>\n",
       "      <td>0.080081</td>\n",
       "      <td>0.098757</td>\n",
       "      <td>0.185077</td>\n",
       "      <td>0.511918</td>\n",
       "      <td>0.237707</td>\n",
       "      <td>0.142528</td>\n",
       "      <td>0.891438</td>\n",
       "      <td>0.806999</td>\n",
       "      <td>0.323360</td>\n",
       "      <td>0.913913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.503116</td>\n",
       "      <td>0.277635</td>\n",
       "      <td>0.065355</td>\n",
       "      <td>0.563814</td>\n",
       "      <td>0.189082</td>\n",
       "      <td>0.420835</td>\n",
       "      <td>0.522877</td>\n",
       "      <td>0.858607</td>\n",
       "      <td>0.555633</td>\n",
       "      <td>0.680493</td>\n",
       "      <td>0.233000</td>\n",
       "      <td>0.518150</td>\n",
       "      <td>0.328573</td>\n",
       "      <td>0.489802</td>\n",
       "      <td>0.726806</td>\n",
       "      <td>0.005590</td>\n",
       "      <td>0.737815</td>\n",
       "      <td>0.591044</td>\n",
       "      <td>0.276552</td>\n",
       "      <td>0.876043</td>\n",
       "      <td>0.899343</td>\n",
       "      <td>0.489191</td>\n",
       "      <td>0.008964</td>\n",
       "      <td>0.488479</td>\n",
       "      <td>0.807909</td>\n",
       "      <td>0.878133</td>\n",
       "      <td>0.257454</td>\n",
       "      <td>0.574865</td>\n",
       "      <td>0.336875</td>\n",
       "      <td>0.647768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.743084</td>\n",
       "      <td>0.379264</td>\n",
       "      <td>0.584380</td>\n",
       "      <td>0.737356</td>\n",
       "      <td>0.460058</td>\n",
       "      <td>0.863427</td>\n",
       "      <td>0.487050</td>\n",
       "      <td>0.693626</td>\n",
       "      <td>0.111514</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.605950</td>\n",
       "      <td>0.866133</td>\n",
       "      <td>0.924439</td>\n",
       "      <td>0.016670</td>\n",
       "      <td>0.038890</td>\n",
       "      <td>0.330194</td>\n",
       "      <td>0.905049</td>\n",
       "      <td>0.053323</td>\n",
       "      <td>0.379276</td>\n",
       "      <td>0.477070</td>\n",
       "      <td>0.885285</td>\n",
       "      <td>0.294306</td>\n",
       "      <td>0.728870</td>\n",
       "      <td>0.036288</td>\n",
       "      <td>0.117258</td>\n",
       "      <td>0.162836</td>\n",
       "      <td>0.096697</td>\n",
       "      <td>0.697209</td>\n",
       "      <td>0.354697</td>\n",
       "      <td>0.083038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.057854</td>\n",
       "      <td>0.474164</td>\n",
       "      <td>0.382057</td>\n",
       "      <td>0.987858</td>\n",
       "      <td>0.870524</td>\n",
       "      <td>0.486325</td>\n",
       "      <td>0.039846</td>\n",
       "      <td>0.653020</td>\n",
       "      <td>0.573196</td>\n",
       "      <td>0.912633</td>\n",
       "      <td>0.559741</td>\n",
       "      <td>0.047761</td>\n",
       "      <td>0.270766</td>\n",
       "      <td>0.625991</td>\n",
       "      <td>0.764665</td>\n",
       "      <td>0.988811</td>\n",
       "      <td>0.870873</td>\n",
       "      <td>0.817841</td>\n",
       "      <td>0.266430</td>\n",
       "      <td>0.901922</td>\n",
       "      <td>0.272297</td>\n",
       "      <td>0.342966</td>\n",
       "      <td>0.630057</td>\n",
       "      <td>0.116416</td>\n",
       "      <td>0.927370</td>\n",
       "      <td>0.891600</td>\n",
       "      <td>0.123707</td>\n",
       "      <td>0.087093</td>\n",
       "      <td>0.574580</td>\n",
       "      <td>0.721992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.431281</td>\n",
       "      <td>0.863277</td>\n",
       "      <td>0.537359</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>0.645197</td>\n",
       "      <td>0.595668</td>\n",
       "      <td>0.209443</td>\n",
       "      <td>0.709357</td>\n",
       "      <td>0.497487</td>\n",
       "      <td>0.349076</td>\n",
       "      <td>0.281547</td>\n",
       "      <td>0.989705</td>\n",
       "      <td>0.284879</td>\n",
       "      <td>0.674823</td>\n",
       "      <td>0.661377</td>\n",
       "      <td>0.626745</td>\n",
       "      <td>0.342837</td>\n",
       "      <td>0.174544</td>\n",
       "      <td>0.699321</td>\n",
       "      <td>0.737172</td>\n",
       "      <td>0.531518</td>\n",
       "      <td>0.309345</td>\n",
       "      <td>0.382286</td>\n",
       "      <td>0.259682</td>\n",
       "      <td>0.162219</td>\n",
       "      <td>0.137275</td>\n",
       "      <td>0.122808</td>\n",
       "      <td>0.194412</td>\n",
       "      <td>0.087458</td>\n",
       "      <td>0.385799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.944137</td>\n",
       "      <td>0.484956</td>\n",
       "      <td>0.694314</td>\n",
       "      <td>0.596388</td>\n",
       "      <td>0.496805</td>\n",
       "      <td>0.066082</td>\n",
       "      <td>0.347798</td>\n",
       "      <td>0.128290</td>\n",
       "      <td>0.900064</td>\n",
       "      <td>0.889617</td>\n",
       "      <td>0.928961</td>\n",
       "      <td>0.314974</td>\n",
       "      <td>0.187434</td>\n",
       "      <td>0.349362</td>\n",
       "      <td>0.625388</td>\n",
       "      <td>0.224359</td>\n",
       "      <td>0.828881</td>\n",
       "      <td>0.365829</td>\n",
       "      <td>0.371148</td>\n",
       "      <td>0.535126</td>\n",
       "      <td>0.696872</td>\n",
       "      <td>0.307474</td>\n",
       "      <td>0.360111</td>\n",
       "      <td>0.777404</td>\n",
       "      <td>0.527858</td>\n",
       "      <td>0.658311</td>\n",
       "      <td>0.874442</td>\n",
       "      <td>0.317369</td>\n",
       "      <td>0.936701</td>\n",
       "      <td>0.993278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.368692</td>\n",
       "      <td>0.846403</td>\n",
       "      <td>0.106816</td>\n",
       "      <td>0.074808</td>\n",
       "      <td>0.419144</td>\n",
       "      <td>0.921883</td>\n",
       "      <td>0.734816</td>\n",
       "      <td>0.678468</td>\n",
       "      <td>0.161162</td>\n",
       "      <td>0.781723</td>\n",
       "      <td>0.197679</td>\n",
       "      <td>0.366691</td>\n",
       "      <td>0.696398</td>\n",
       "      <td>0.595407</td>\n",
       "      <td>0.228014</td>\n",
       "      <td>0.659368</td>\n",
       "      <td>0.070010</td>\n",
       "      <td>0.199005</td>\n",
       "      <td>0.495725</td>\n",
       "      <td>0.475817</td>\n",
       "      <td>0.752258</td>\n",
       "      <td>0.113858</td>\n",
       "      <td>0.779835</td>\n",
       "      <td>0.790192</td>\n",
       "      <td>0.248075</td>\n",
       "      <td>0.967884</td>\n",
       "      <td>0.393130</td>\n",
       "      <td>0.473883</td>\n",
       "      <td>0.672919</td>\n",
       "      <td>0.256158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.214098</td>\n",
       "      <td>0.087049</td>\n",
       "      <td>0.851842</td>\n",
       "      <td>0.253189</td>\n",
       "      <td>0.380128</td>\n",
       "      <td>0.845002</td>\n",
       "      <td>0.330860</td>\n",
       "      <td>0.283467</td>\n",
       "      <td>0.664088</td>\n",
       "      <td>0.103456</td>\n",
       "      <td>0.398925</td>\n",
       "      <td>0.498581</td>\n",
       "      <td>0.673513</td>\n",
       "      <td>0.992755</td>\n",
       "      <td>0.897678</td>\n",
       "      <td>0.076425</td>\n",
       "      <td>0.277140</td>\n",
       "      <td>0.804702</td>\n",
       "      <td>0.623825</td>\n",
       "      <td>0.325423</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.473770</td>\n",
       "      <td>0.380403</td>\n",
       "      <td>0.539762</td>\n",
       "      <td>0.264476</td>\n",
       "      <td>0.650952</td>\n",
       "      <td>0.718906</td>\n",
       "      <td>0.097410</td>\n",
       "      <td>0.047993</td>\n",
       "      <td>0.879046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.020078</td>\n",
       "      <td>0.568570</td>\n",
       "      <td>0.067835</td>\n",
       "      <td>0.575939</td>\n",
       "      <td>0.421478</td>\n",
       "      <td>0.946298</td>\n",
       "      <td>0.949849</td>\n",
       "      <td>0.379918</td>\n",
       "      <td>0.503542</td>\n",
       "      <td>0.829583</td>\n",
       "      <td>0.030764</td>\n",
       "      <td>0.795298</td>\n",
       "      <td>0.213898</td>\n",
       "      <td>0.200304</td>\n",
       "      <td>0.351145</td>\n",
       "      <td>0.900516</td>\n",
       "      <td>0.189523</td>\n",
       "      <td>0.664209</td>\n",
       "      <td>0.129083</td>\n",
       "      <td>0.935204</td>\n",
       "      <td>0.947282</td>\n",
       "      <td>0.891038</td>\n",
       "      <td>0.770340</td>\n",
       "      <td>0.179773</td>\n",
       "      <td>0.104121</td>\n",
       "      <td>0.741933</td>\n",
       "      <td>0.025690</td>\n",
       "      <td>0.477218</td>\n",
       "      <td>0.080934</td>\n",
       "      <td>0.912208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.601433</td>\n",
       "      <td>0.284835</td>\n",
       "      <td>0.667852</td>\n",
       "      <td>0.149745</td>\n",
       "      <td>0.001736</td>\n",
       "      <td>0.246749</td>\n",
       "      <td>0.994182</td>\n",
       "      <td>0.574476</td>\n",
       "      <td>0.958963</td>\n",
       "      <td>0.282599</td>\n",
       "      <td>0.119573</td>\n",
       "      <td>0.394154</td>\n",
       "      <td>0.475698</td>\n",
       "      <td>0.096617</td>\n",
       "      <td>0.750427</td>\n",
       "      <td>0.314251</td>\n",
       "      <td>0.918600</td>\n",
       "      <td>0.244872</td>\n",
       "      <td>0.887766</td>\n",
       "      <td>0.844412</td>\n",
       "      <td>0.496408</td>\n",
       "      <td>0.576494</td>\n",
       "      <td>0.445171</td>\n",
       "      <td>0.758714</td>\n",
       "      <td>0.944654</td>\n",
       "      <td>0.532030</td>\n",
       "      <td>0.137241</td>\n",
       "      <td>0.087748</td>\n",
       "      <td>0.372629</td>\n",
       "      <td>0.617857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.467258</td>\n",
       "      <td>0.709365</td>\n",
       "      <td>0.123957</td>\n",
       "      <td>0.945570</td>\n",
       "      <td>0.834850</td>\n",
       "      <td>0.975976</td>\n",
       "      <td>0.647120</td>\n",
       "      <td>0.279584</td>\n",
       "      <td>0.534938</td>\n",
       "      <td>0.640714</td>\n",
       "      <td>0.863160</td>\n",
       "      <td>0.414332</td>\n",
       "      <td>0.914883</td>\n",
       "      <td>0.905426</td>\n",
       "      <td>0.669827</td>\n",
       "      <td>0.740110</td>\n",
       "      <td>0.046268</td>\n",
       "      <td>0.257567</td>\n",
       "      <td>0.412065</td>\n",
       "      <td>0.971992</td>\n",
       "      <td>0.059296</td>\n",
       "      <td>0.474689</td>\n",
       "      <td>0.667531</td>\n",
       "      <td>0.616685</td>\n",
       "      <td>0.424421</td>\n",
       "      <td>0.184510</td>\n",
       "      <td>0.404427</td>\n",
       "      <td>0.126029</td>\n",
       "      <td>0.981709</td>\n",
       "      <td>0.962642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.715992</td>\n",
       "      <td>0.508447</td>\n",
       "      <td>0.486200</td>\n",
       "      <td>0.517512</td>\n",
       "      <td>0.322349</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.595325</td>\n",
       "      <td>0.466549</td>\n",
       "      <td>0.681784</td>\n",
       "      <td>0.510865</td>\n",
       "      <td>0.341896</td>\n",
       "      <td>0.642011</td>\n",
       "      <td>0.194003</td>\n",
       "      <td>0.176136</td>\n",
       "      <td>0.678555</td>\n",
       "      <td>0.895494</td>\n",
       "      <td>0.693578</td>\n",
       "      <td>0.269054</td>\n",
       "      <td>0.002012</td>\n",
       "      <td>0.768728</td>\n",
       "      <td>0.678023</td>\n",
       "      <td>0.463972</td>\n",
       "      <td>0.534715</td>\n",
       "      <td>0.720319</td>\n",
       "      <td>0.918027</td>\n",
       "      <td>0.405074</td>\n",
       "      <td>0.052709</td>\n",
       "      <td>0.751659</td>\n",
       "      <td>0.790349</td>\n",
       "      <td>0.240731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.962200</td>\n",
       "      <td>0.523942</td>\n",
       "      <td>0.083645</td>\n",
       "      <td>0.901434</td>\n",
       "      <td>0.306039</td>\n",
       "      <td>0.596029</td>\n",
       "      <td>0.737512</td>\n",
       "      <td>0.213862</td>\n",
       "      <td>0.160708</td>\n",
       "      <td>0.771491</td>\n",
       "      <td>0.403530</td>\n",
       "      <td>0.728881</td>\n",
       "      <td>0.885451</td>\n",
       "      <td>0.334911</td>\n",
       "      <td>0.957275</td>\n",
       "      <td>0.406542</td>\n",
       "      <td>0.104049</td>\n",
       "      <td>0.846459</td>\n",
       "      <td>0.121404</td>\n",
       "      <td>0.678292</td>\n",
       "      <td>0.253461</td>\n",
       "      <td>0.751406</td>\n",
       "      <td>0.164445</td>\n",
       "      <td>0.470135</td>\n",
       "      <td>0.754815</td>\n",
       "      <td>0.811779</td>\n",
       "      <td>0.244966</td>\n",
       "      <td>0.035292</td>\n",
       "      <td>0.059534</td>\n",
       "      <td>0.939546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.568461</td>\n",
       "      <td>0.443897</td>\n",
       "      <td>0.211743</td>\n",
       "      <td>0.459422</td>\n",
       "      <td>0.358308</td>\n",
       "      <td>0.643205</td>\n",
       "      <td>0.647745</td>\n",
       "      <td>0.245107</td>\n",
       "      <td>0.089982</td>\n",
       "      <td>0.924144</td>\n",
       "      <td>0.352291</td>\n",
       "      <td>0.400914</td>\n",
       "      <td>0.601927</td>\n",
       "      <td>0.475980</td>\n",
       "      <td>0.583649</td>\n",
       "      <td>0.538165</td>\n",
       "      <td>0.693437</td>\n",
       "      <td>0.562741</td>\n",
       "      <td>0.957271</td>\n",
       "      <td>0.017563</td>\n",
       "      <td>0.509851</td>\n",
       "      <td>0.971199</td>\n",
       "      <td>0.313072</td>\n",
       "      <td>0.870392</td>\n",
       "      <td>0.409245</td>\n",
       "      <td>0.166389</td>\n",
       "      <td>0.470059</td>\n",
       "      <td>0.333368</td>\n",
       "      <td>0.827256</td>\n",
       "      <td>0.856752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.935524</td>\n",
       "      <td>0.204926</td>\n",
       "      <td>0.295505</td>\n",
       "      <td>0.753311</td>\n",
       "      <td>0.285446</td>\n",
       "      <td>0.020390</td>\n",
       "      <td>0.179562</td>\n",
       "      <td>0.049065</td>\n",
       "      <td>0.507503</td>\n",
       "      <td>0.091044</td>\n",
       "      <td>0.333323</td>\n",
       "      <td>0.675467</td>\n",
       "      <td>0.102059</td>\n",
       "      <td>0.041811</td>\n",
       "      <td>0.391393</td>\n",
       "      <td>0.194722</td>\n",
       "      <td>0.513964</td>\n",
       "      <td>0.454184</td>\n",
       "      <td>0.607115</td>\n",
       "      <td>0.154261</td>\n",
       "      <td>0.421348</td>\n",
       "      <td>0.916496</td>\n",
       "      <td>0.613131</td>\n",
       "      <td>0.600833</td>\n",
       "      <td>0.029396</td>\n",
       "      <td>0.149743</td>\n",
       "      <td>0.751259</td>\n",
       "      <td>0.351360</td>\n",
       "      <td>0.417076</td>\n",
       "      <td>0.902869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.717175</td>\n",
       "      <td>0.026909</td>\n",
       "      <td>0.229667</td>\n",
       "      <td>0.772001</td>\n",
       "      <td>0.186979</td>\n",
       "      <td>0.430898</td>\n",
       "      <td>0.122885</td>\n",
       "      <td>0.772687</td>\n",
       "      <td>0.540777</td>\n",
       "      <td>0.708760</td>\n",
       "      <td>0.661636</td>\n",
       "      <td>0.593298</td>\n",
       "      <td>0.212051</td>\n",
       "      <td>0.423400</td>\n",
       "      <td>0.836189</td>\n",
       "      <td>0.208818</td>\n",
       "      <td>0.123221</td>\n",
       "      <td>0.589420</td>\n",
       "      <td>0.740686</td>\n",
       "      <td>0.388635</td>\n",
       "      <td>0.771973</td>\n",
       "      <td>0.001448</td>\n",
       "      <td>0.759421</td>\n",
       "      <td>0.889395</td>\n",
       "      <td>0.714099</td>\n",
       "      <td>0.609490</td>\n",
       "      <td>0.195200</td>\n",
       "      <td>0.239485</td>\n",
       "      <td>0.604957</td>\n",
       "      <td>0.709172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.599074</td>\n",
       "      <td>0.581976</td>\n",
       "      <td>0.565395</td>\n",
       "      <td>0.940781</td>\n",
       "      <td>0.056225</td>\n",
       "      <td>0.932920</td>\n",
       "      <td>0.241515</td>\n",
       "      <td>0.588169</td>\n",
       "      <td>0.346667</td>\n",
       "      <td>0.610860</td>\n",
       "      <td>0.801080</td>\n",
       "      <td>0.952361</td>\n",
       "      <td>0.502563</td>\n",
       "      <td>0.928013</td>\n",
       "      <td>0.235149</td>\n",
       "      <td>0.909307</td>\n",
       "      <td>0.110822</td>\n",
       "      <td>0.191069</td>\n",
       "      <td>0.648090</td>\n",
       "      <td>0.193660</td>\n",
       "      <td>0.614083</td>\n",
       "      <td>0.692971</td>\n",
       "      <td>0.239337</td>\n",
       "      <td>0.502809</td>\n",
       "      <td>0.906174</td>\n",
       "      <td>0.844201</td>\n",
       "      <td>0.501841</td>\n",
       "      <td>0.109495</td>\n",
       "      <td>0.861290</td>\n",
       "      <td>0.055246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.837664</td>\n",
       "      <td>0.813386</td>\n",
       "      <td>0.141612</td>\n",
       "      <td>0.759889</td>\n",
       "      <td>0.926093</td>\n",
       "      <td>0.974489</td>\n",
       "      <td>0.143851</td>\n",
       "      <td>0.584297</td>\n",
       "      <td>0.545308</td>\n",
       "      <td>0.345272</td>\n",
       "      <td>0.135385</td>\n",
       "      <td>0.382212</td>\n",
       "      <td>0.352726</td>\n",
       "      <td>0.100584</td>\n",
       "      <td>0.411745</td>\n",
       "      <td>0.321778</td>\n",
       "      <td>0.841084</td>\n",
       "      <td>0.177530</td>\n",
       "      <td>0.566323</td>\n",
       "      <td>0.690729</td>\n",
       "      <td>0.690565</td>\n",
       "      <td>0.988513</td>\n",
       "      <td>0.948981</td>\n",
       "      <td>0.681599</td>\n",
       "      <td>0.664379</td>\n",
       "      <td>0.409103</td>\n",
       "      <td>0.494528</td>\n",
       "      <td>0.319356</td>\n",
       "      <td>0.328964</td>\n",
       "      <td>0.072510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.554758</td>\n",
       "      <td>0.419451</td>\n",
       "      <td>0.543710</td>\n",
       "      <td>0.544109</td>\n",
       "      <td>0.658208</td>\n",
       "      <td>0.330085</td>\n",
       "      <td>0.013048</td>\n",
       "      <td>0.644429</td>\n",
       "      <td>0.923094</td>\n",
       "      <td>0.077120</td>\n",
       "      <td>0.918075</td>\n",
       "      <td>0.973780</td>\n",
       "      <td>0.365385</td>\n",
       "      <td>0.428036</td>\n",
       "      <td>0.876110</td>\n",
       "      <td>0.446492</td>\n",
       "      <td>0.452866</td>\n",
       "      <td>0.604891</td>\n",
       "      <td>0.379622</td>\n",
       "      <td>0.881405</td>\n",
       "      <td>0.106689</td>\n",
       "      <td>0.897957</td>\n",
       "      <td>0.335940</td>\n",
       "      <td>0.456464</td>\n",
       "      <td>0.773685</td>\n",
       "      <td>0.863320</td>\n",
       "      <td>0.278794</td>\n",
       "      <td>0.621384</td>\n",
       "      <td>0.132359</td>\n",
       "      <td>0.765531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.328671</td>\n",
       "      <td>0.616572</td>\n",
       "      <td>0.202418</td>\n",
       "      <td>0.751640</td>\n",
       "      <td>0.135147</td>\n",
       "      <td>0.828703</td>\n",
       "      <td>0.247479</td>\n",
       "      <td>0.963246</td>\n",
       "      <td>0.027938</td>\n",
       "      <td>0.910738</td>\n",
       "      <td>0.425265</td>\n",
       "      <td>0.953610</td>\n",
       "      <td>0.737054</td>\n",
       "      <td>0.162719</td>\n",
       "      <td>0.109166</td>\n",
       "      <td>0.203975</td>\n",
       "      <td>0.491198</td>\n",
       "      <td>0.494556</td>\n",
       "      <td>0.294155</td>\n",
       "      <td>0.093356</td>\n",
       "      <td>0.886009</td>\n",
       "      <td>0.613690</td>\n",
       "      <td>0.382977</td>\n",
       "      <td>0.804052</td>\n",
       "      <td>0.913710</td>\n",
       "      <td>0.316802</td>\n",
       "      <td>0.817641</td>\n",
       "      <td>0.047581</td>\n",
       "      <td>0.132360</td>\n",
       "      <td>0.941529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.430054</td>\n",
       "      <td>0.682827</td>\n",
       "      <td>0.306024</td>\n",
       "      <td>0.287219</td>\n",
       "      <td>0.254885</td>\n",
       "      <td>0.535979</td>\n",
       "      <td>0.290770</td>\n",
       "      <td>0.572601</td>\n",
       "      <td>0.195610</td>\n",
       "      <td>0.007694</td>\n",
       "      <td>0.692215</td>\n",
       "      <td>0.054614</td>\n",
       "      <td>0.248207</td>\n",
       "      <td>0.875781</td>\n",
       "      <td>0.662057</td>\n",
       "      <td>0.570455</td>\n",
       "      <td>0.914122</td>\n",
       "      <td>0.748697</td>\n",
       "      <td>0.371530</td>\n",
       "      <td>0.799924</td>\n",
       "      <td>0.136684</td>\n",
       "      <td>0.384212</td>\n",
       "      <td>0.987660</td>\n",
       "      <td>0.260141</td>\n",
       "      <td>0.253554</td>\n",
       "      <td>0.134256</td>\n",
       "      <td>0.403624</td>\n",
       "      <td>0.772729</td>\n",
       "      <td>0.751016</td>\n",
       "      <td>0.953293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.068935</td>\n",
       "      <td>0.953351</td>\n",
       "      <td>0.100823</td>\n",
       "      <td>0.103434</td>\n",
       "      <td>0.625374</td>\n",
       "      <td>0.571393</td>\n",
       "      <td>0.682740</td>\n",
       "      <td>0.351674</td>\n",
       "      <td>0.198406</td>\n",
       "      <td>0.091559</td>\n",
       "      <td>0.261832</td>\n",
       "      <td>0.690165</td>\n",
       "      <td>0.056777</td>\n",
       "      <td>0.738249</td>\n",
       "      <td>0.860423</td>\n",
       "      <td>0.637600</td>\n",
       "      <td>0.814031</td>\n",
       "      <td>0.377364</td>\n",
       "      <td>0.090392</td>\n",
       "      <td>0.924764</td>\n",
       "      <td>0.255793</td>\n",
       "      <td>0.789511</td>\n",
       "      <td>0.296198</td>\n",
       "      <td>0.330190</td>\n",
       "      <td>0.921916</td>\n",
       "      <td>0.137425</td>\n",
       "      <td>0.097964</td>\n",
       "      <td>0.976958</td>\n",
       "      <td>0.140189</td>\n",
       "      <td>0.181310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.959074</td>\n",
       "      <td>0.897419</td>\n",
       "      <td>0.761285</td>\n",
       "      <td>0.992035</td>\n",
       "      <td>0.692415</td>\n",
       "      <td>0.266561</td>\n",
       "      <td>0.040356</td>\n",
       "      <td>0.807738</td>\n",
       "      <td>0.572842</td>\n",
       "      <td>0.879641</td>\n",
       "      <td>0.544679</td>\n",
       "      <td>0.513676</td>\n",
       "      <td>0.956565</td>\n",
       "      <td>0.397484</td>\n",
       "      <td>0.592211</td>\n",
       "      <td>0.570091</td>\n",
       "      <td>0.420031</td>\n",
       "      <td>0.044040</td>\n",
       "      <td>0.511031</td>\n",
       "      <td>0.357037</td>\n",
       "      <td>0.251677</td>\n",
       "      <td>0.566612</td>\n",
       "      <td>0.226526</td>\n",
       "      <td>0.658419</td>\n",
       "      <td>0.423045</td>\n",
       "      <td>0.871050</td>\n",
       "      <td>0.094107</td>\n",
       "      <td>0.101532</td>\n",
       "      <td>0.567580</td>\n",
       "      <td>0.283756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.597130</td>\n",
       "      <td>0.624148</td>\n",
       "      <td>0.558344</td>\n",
       "      <td>0.747776</td>\n",
       "      <td>0.065016</td>\n",
       "      <td>0.310713</td>\n",
       "      <td>0.534334</td>\n",
       "      <td>0.189690</td>\n",
       "      <td>0.019022</td>\n",
       "      <td>0.918994</td>\n",
       "      <td>0.233356</td>\n",
       "      <td>0.840770</td>\n",
       "      <td>0.820874</td>\n",
       "      <td>0.359727</td>\n",
       "      <td>0.204347</td>\n",
       "      <td>0.354155</td>\n",
       "      <td>0.910890</td>\n",
       "      <td>0.107344</td>\n",
       "      <td>0.078744</td>\n",
       "      <td>0.390031</td>\n",
       "      <td>0.862202</td>\n",
       "      <td>0.934260</td>\n",
       "      <td>0.686790</td>\n",
       "      <td>0.557980</td>\n",
       "      <td>0.427497</td>\n",
       "      <td>0.015030</td>\n",
       "      <td>0.389670</td>\n",
       "      <td>0.807917</td>\n",
       "      <td>0.634687</td>\n",
       "      <td>0.631037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.517367</td>\n",
       "      <td>0.962952</td>\n",
       "      <td>0.162887</td>\n",
       "      <td>0.259869</td>\n",
       "      <td>0.163447</td>\n",
       "      <td>0.241599</td>\n",
       "      <td>0.214475</td>\n",
       "      <td>0.783970</td>\n",
       "      <td>0.485379</td>\n",
       "      <td>0.057690</td>\n",
       "      <td>0.711698</td>\n",
       "      <td>0.512955</td>\n",
       "      <td>0.303263</td>\n",
       "      <td>0.341097</td>\n",
       "      <td>0.651795</td>\n",
       "      <td>0.079569</td>\n",
       "      <td>0.529197</td>\n",
       "      <td>0.683429</td>\n",
       "      <td>0.826175</td>\n",
       "      <td>0.238200</td>\n",
       "      <td>0.808394</td>\n",
       "      <td>0.530980</td>\n",
       "      <td>0.513132</td>\n",
       "      <td>0.337517</td>\n",
       "      <td>0.510115</td>\n",
       "      <td>0.309539</td>\n",
       "      <td>0.031413</td>\n",
       "      <td>0.248283</td>\n",
       "      <td>0.142824</td>\n",
       "      <td>0.487245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.624232</td>\n",
       "      <td>0.424716</td>\n",
       "      <td>0.494462</td>\n",
       "      <td>0.600225</td>\n",
       "      <td>0.159855</td>\n",
       "      <td>0.220448</td>\n",
       "      <td>0.266620</td>\n",
       "      <td>0.711248</td>\n",
       "      <td>0.551588</td>\n",
       "      <td>0.555332</td>\n",
       "      <td>0.389574</td>\n",
       "      <td>0.035762</td>\n",
       "      <td>0.748139</td>\n",
       "      <td>0.111814</td>\n",
       "      <td>0.286402</td>\n",
       "      <td>0.282645</td>\n",
       "      <td>0.042980</td>\n",
       "      <td>0.109347</td>\n",
       "      <td>0.863596</td>\n",
       "      <td>0.746091</td>\n",
       "      <td>0.205647</td>\n",
       "      <td>0.365282</td>\n",
       "      <td>0.082429</td>\n",
       "      <td>0.274524</td>\n",
       "      <td>0.661511</td>\n",
       "      <td>0.193382</td>\n",
       "      <td>0.771945</td>\n",
       "      <td>0.005463</td>\n",
       "      <td>0.984529</td>\n",
       "      <td>0.976142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.243242</td>\n",
       "      <td>0.372209</td>\n",
       "      <td>0.113441</td>\n",
       "      <td>0.693134</td>\n",
       "      <td>0.920667</td>\n",
       "      <td>0.978526</td>\n",
       "      <td>0.956137</td>\n",
       "      <td>0.073748</td>\n",
       "      <td>0.947695</td>\n",
       "      <td>0.054574</td>\n",
       "      <td>0.683155</td>\n",
       "      <td>0.166160</td>\n",
       "      <td>0.695241</td>\n",
       "      <td>0.642180</td>\n",
       "      <td>0.618130</td>\n",
       "      <td>0.306592</td>\n",
       "      <td>0.098641</td>\n",
       "      <td>0.648512</td>\n",
       "      <td>0.418518</td>\n",
       "      <td>0.220290</td>\n",
       "      <td>0.464926</td>\n",
       "      <td>0.048291</td>\n",
       "      <td>0.408438</td>\n",
       "      <td>0.145209</td>\n",
       "      <td>0.583449</td>\n",
       "      <td>0.916306</td>\n",
       "      <td>0.906106</td>\n",
       "      <td>0.275851</td>\n",
       "      <td>0.002957</td>\n",
       "      <td>0.525038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.586945</td>\n",
       "      <td>0.213374</td>\n",
       "      <td>0.952542</td>\n",
       "      <td>0.655127</td>\n",
       "      <td>0.059051</td>\n",
       "      <td>0.444055</td>\n",
       "      <td>0.900916</td>\n",
       "      <td>0.255090</td>\n",
       "      <td>0.607603</td>\n",
       "      <td>0.718444</td>\n",
       "      <td>0.176303</td>\n",
       "      <td>0.759999</td>\n",
       "      <td>0.065631</td>\n",
       "      <td>0.986448</td>\n",
       "      <td>0.928723</td>\n",
       "      <td>0.325276</td>\n",
       "      <td>0.039831</td>\n",
       "      <td>0.452483</td>\n",
       "      <td>0.270144</td>\n",
       "      <td>0.142076</td>\n",
       "      <td>0.691465</td>\n",
       "      <td>0.900770</td>\n",
       "      <td>0.312392</td>\n",
       "      <td>0.866208</td>\n",
       "      <td>0.485988</td>\n",
       "      <td>0.957880</td>\n",
       "      <td>0.074566</td>\n",
       "      <td>0.535153</td>\n",
       "      <td>0.421275</td>\n",
       "      <td>0.273299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.420571</td>\n",
       "      <td>0.140119</td>\n",
       "      <td>0.119936</td>\n",
       "      <td>0.739582</td>\n",
       "      <td>0.997331</td>\n",
       "      <td>0.103235</td>\n",
       "      <td>0.337897</td>\n",
       "      <td>0.928101</td>\n",
       "      <td>0.207018</td>\n",
       "      <td>0.595981</td>\n",
       "      <td>0.364307</td>\n",
       "      <td>0.820500</td>\n",
       "      <td>0.175522</td>\n",
       "      <td>0.466659</td>\n",
       "      <td>0.137356</td>\n",
       "      <td>0.853624</td>\n",
       "      <td>0.075736</td>\n",
       "      <td>0.647529</td>\n",
       "      <td>0.223741</td>\n",
       "      <td>0.683086</td>\n",
       "      <td>0.627155</td>\n",
       "      <td>0.920480</td>\n",
       "      <td>0.390963</td>\n",
       "      <td>0.918174</td>\n",
       "      <td>0.957856</td>\n",
       "      <td>0.957133</td>\n",
       "      <td>0.549880</td>\n",
       "      <td>0.165199</td>\n",
       "      <td>0.593712</td>\n",
       "      <td>0.517212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.509166</td>\n",
       "      <td>0.698070</td>\n",
       "      <td>0.315861</td>\n",
       "      <td>0.805002</td>\n",
       "      <td>0.575027</td>\n",
       "      <td>0.751401</td>\n",
       "      <td>0.338767</td>\n",
       "      <td>0.394329</td>\n",
       "      <td>0.130693</td>\n",
       "      <td>0.808118</td>\n",
       "      <td>0.036354</td>\n",
       "      <td>0.214976</td>\n",
       "      <td>0.762949</td>\n",
       "      <td>0.170085</td>\n",
       "      <td>0.017075</td>\n",
       "      <td>0.859210</td>\n",
       "      <td>0.130977</td>\n",
       "      <td>0.701242</td>\n",
       "      <td>0.586054</td>\n",
       "      <td>0.946480</td>\n",
       "      <td>0.734424</td>\n",
       "      <td>0.087070</td>\n",
       "      <td>0.916793</td>\n",
       "      <td>0.603983</td>\n",
       "      <td>0.806833</td>\n",
       "      <td>0.866316</td>\n",
       "      <td>0.550282</td>\n",
       "      <td>0.791297</td>\n",
       "      <td>0.272787</td>\n",
       "      <td>0.461349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.282974</td>\n",
       "      <td>0.774160</td>\n",
       "      <td>0.498251</td>\n",
       "      <td>0.570695</td>\n",
       "      <td>0.714948</td>\n",
       "      <td>0.142679</td>\n",
       "      <td>0.583410</td>\n",
       "      <td>0.613272</td>\n",
       "      <td>0.271541</td>\n",
       "      <td>0.996745</td>\n",
       "      <td>0.301616</td>\n",
       "      <td>0.913021</td>\n",
       "      <td>0.296811</td>\n",
       "      <td>0.139409</td>\n",
       "      <td>0.593337</td>\n",
       "      <td>0.284343</td>\n",
       "      <td>0.488794</td>\n",
       "      <td>0.453034</td>\n",
       "      <td>0.561590</td>\n",
       "      <td>0.488589</td>\n",
       "      <td>0.526806</td>\n",
       "      <td>0.356344</td>\n",
       "      <td>0.633075</td>\n",
       "      <td>0.376531</td>\n",
       "      <td>0.104057</td>\n",
       "      <td>0.547391</td>\n",
       "      <td>0.681421</td>\n",
       "      <td>0.600035</td>\n",
       "      <td>0.244555</td>\n",
       "      <td>0.876272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.705720</td>\n",
       "      <td>0.961751</td>\n",
       "      <td>0.380580</td>\n",
       "      <td>0.854292</td>\n",
       "      <td>0.016862</td>\n",
       "      <td>0.221851</td>\n",
       "      <td>0.043705</td>\n",
       "      <td>0.766565</td>\n",
       "      <td>0.121875</td>\n",
       "      <td>0.183591</td>\n",
       "      <td>0.492443</td>\n",
       "      <td>0.245181</td>\n",
       "      <td>0.695867</td>\n",
       "      <td>0.412479</td>\n",
       "      <td>0.763473</td>\n",
       "      <td>0.364036</td>\n",
       "      <td>0.933494</td>\n",
       "      <td>0.988541</td>\n",
       "      <td>0.852133</td>\n",
       "      <td>0.781288</td>\n",
       "      <td>0.072685</td>\n",
       "      <td>0.356654</td>\n",
       "      <td>0.571731</td>\n",
       "      <td>0.685233</td>\n",
       "      <td>0.282982</td>\n",
       "      <td>0.520551</td>\n",
       "      <td>0.612957</td>\n",
       "      <td>0.234516</td>\n",
       "      <td>0.860184</td>\n",
       "      <td>0.896478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.340938</td>\n",
       "      <td>0.914339</td>\n",
       "      <td>0.084733</td>\n",
       "      <td>0.053865</td>\n",
       "      <td>0.410685</td>\n",
       "      <td>0.010644</td>\n",
       "      <td>0.008610</td>\n",
       "      <td>0.304427</td>\n",
       "      <td>0.990845</td>\n",
       "      <td>0.323871</td>\n",
       "      <td>0.045816</td>\n",
       "      <td>0.280553</td>\n",
       "      <td>0.811784</td>\n",
       "      <td>0.920272</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.676882</td>\n",
       "      <td>0.180754</td>\n",
       "      <td>0.940633</td>\n",
       "      <td>0.436200</td>\n",
       "      <td>0.389245</td>\n",
       "      <td>0.484100</td>\n",
       "      <td>0.373068</td>\n",
       "      <td>0.034519</td>\n",
       "      <td>0.635554</td>\n",
       "      <td>0.222746</td>\n",
       "      <td>0.628988</td>\n",
       "      <td>0.065618</td>\n",
       "      <td>0.833896</td>\n",
       "      <td>0.662683</td>\n",
       "      <td>0.816639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.046532</td>\n",
       "      <td>0.514511</td>\n",
       "      <td>0.990109</td>\n",
       "      <td>0.494894</td>\n",
       "      <td>0.162298</td>\n",
       "      <td>0.500364</td>\n",
       "      <td>0.542282</td>\n",
       "      <td>0.360552</td>\n",
       "      <td>0.536921</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.418236</td>\n",
       "      <td>0.236739</td>\n",
       "      <td>0.189870</td>\n",
       "      <td>0.797396</td>\n",
       "      <td>0.830240</td>\n",
       "      <td>0.768234</td>\n",
       "      <td>0.333011</td>\n",
       "      <td>0.708766</td>\n",
       "      <td>0.305381</td>\n",
       "      <td>0.089423</td>\n",
       "      <td>0.308147</td>\n",
       "      <td>0.862552</td>\n",
       "      <td>0.735222</td>\n",
       "      <td>0.931428</td>\n",
       "      <td>0.622175</td>\n",
       "      <td>0.100053</td>\n",
       "      <td>0.604539</td>\n",
       "      <td>0.780060</td>\n",
       "      <td>0.962411</td>\n",
       "      <td>0.588523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.989376</td>\n",
       "      <td>0.123802</td>\n",
       "      <td>0.480965</td>\n",
       "      <td>0.063789</td>\n",
       "      <td>0.029674</td>\n",
       "      <td>0.028277</td>\n",
       "      <td>0.042733</td>\n",
       "      <td>0.626647</td>\n",
       "      <td>0.835509</td>\n",
       "      <td>0.579123</td>\n",
       "      <td>0.860774</td>\n",
       "      <td>0.576712</td>\n",
       "      <td>0.595198</td>\n",
       "      <td>0.686706</td>\n",
       "      <td>0.766777</td>\n",
       "      <td>0.677700</td>\n",
       "      <td>0.602408</td>\n",
       "      <td>0.539586</td>\n",
       "      <td>0.371917</td>\n",
       "      <td>0.107216</td>\n",
       "      <td>0.483100</td>\n",
       "      <td>0.851476</td>\n",
       "      <td>0.651523</td>\n",
       "      <td>0.602201</td>\n",
       "      <td>0.590090</td>\n",
       "      <td>0.421486</td>\n",
       "      <td>0.304977</td>\n",
       "      <td>0.977240</td>\n",
       "      <td>0.514393</td>\n",
       "      <td>0.048044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.156010</td>\n",
       "      <td>0.459878</td>\n",
       "      <td>0.150516</td>\n",
       "      <td>0.383026</td>\n",
       "      <td>0.521009</td>\n",
       "      <td>0.624012</td>\n",
       "      <td>0.600592</td>\n",
       "      <td>0.207030</td>\n",
       "      <td>0.422199</td>\n",
       "      <td>0.201312</td>\n",
       "      <td>0.093853</td>\n",
       "      <td>0.189420</td>\n",
       "      <td>0.747356</td>\n",
       "      <td>0.484339</td>\n",
       "      <td>0.086878</td>\n",
       "      <td>0.207687</td>\n",
       "      <td>0.752801</td>\n",
       "      <td>0.360902</td>\n",
       "      <td>0.983270</td>\n",
       "      <td>0.095683</td>\n",
       "      <td>0.214867</td>\n",
       "      <td>0.171013</td>\n",
       "      <td>0.144147</td>\n",
       "      <td>0.711307</td>\n",
       "      <td>0.664805</td>\n",
       "      <td>0.823824</td>\n",
       "      <td>0.535989</td>\n",
       "      <td>0.187624</td>\n",
       "      <td>0.217189</td>\n",
       "      <td>0.570282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.293543</td>\n",
       "      <td>0.271126</td>\n",
       "      <td>0.657192</td>\n",
       "      <td>0.500418</td>\n",
       "      <td>0.870455</td>\n",
       "      <td>0.015288</td>\n",
       "      <td>0.101134</td>\n",
       "      <td>0.486161</td>\n",
       "      <td>0.690941</td>\n",
       "      <td>0.754261</td>\n",
       "      <td>0.360024</td>\n",
       "      <td>0.133827</td>\n",
       "      <td>0.217685</td>\n",
       "      <td>0.890911</td>\n",
       "      <td>0.805264</td>\n",
       "      <td>0.761686</td>\n",
       "      <td>0.482925</td>\n",
       "      <td>0.873497</td>\n",
       "      <td>0.790204</td>\n",
       "      <td>0.691919</td>\n",
       "      <td>0.113317</td>\n",
       "      <td>0.901630</td>\n",
       "      <td>0.205642</td>\n",
       "      <td>0.347238</td>\n",
       "      <td>0.850324</td>\n",
       "      <td>0.432353</td>\n",
       "      <td>0.222060</td>\n",
       "      <td>0.298383</td>\n",
       "      <td>0.664775</td>\n",
       "      <td>0.958049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.903622</td>\n",
       "      <td>0.162809</td>\n",
       "      <td>0.403062</td>\n",
       "      <td>0.872035</td>\n",
       "      <td>0.191751</td>\n",
       "      <td>0.365048</td>\n",
       "      <td>0.760181</td>\n",
       "      <td>0.005005</td>\n",
       "      <td>0.234919</td>\n",
       "      <td>0.023112</td>\n",
       "      <td>0.644316</td>\n",
       "      <td>0.234862</td>\n",
       "      <td>0.636849</td>\n",
       "      <td>0.570068</td>\n",
       "      <td>0.533310</td>\n",
       "      <td>0.638862</td>\n",
       "      <td>0.982652</td>\n",
       "      <td>0.370607</td>\n",
       "      <td>0.904483</td>\n",
       "      <td>0.732998</td>\n",
       "      <td>0.423471</td>\n",
       "      <td>0.900475</td>\n",
       "      <td>0.003570</td>\n",
       "      <td>0.246337</td>\n",
       "      <td>0.819377</td>\n",
       "      <td>0.401650</td>\n",
       "      <td>0.115449</td>\n",
       "      <td>0.308261</td>\n",
       "      <td>0.612941</td>\n",
       "      <td>0.870673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.981455</td>\n",
       "      <td>0.422150</td>\n",
       "      <td>0.592627</td>\n",
       "      <td>0.164521</td>\n",
       "      <td>0.946519</td>\n",
       "      <td>0.901641</td>\n",
       "      <td>0.570865</td>\n",
       "      <td>0.336033</td>\n",
       "      <td>0.666465</td>\n",
       "      <td>0.203108</td>\n",
       "      <td>0.836698</td>\n",
       "      <td>0.618370</td>\n",
       "      <td>0.311864</td>\n",
       "      <td>0.658274</td>\n",
       "      <td>0.270383</td>\n",
       "      <td>0.227260</td>\n",
       "      <td>0.739582</td>\n",
       "      <td>0.009175</td>\n",
       "      <td>0.285989</td>\n",
       "      <td>0.521315</td>\n",
       "      <td>0.759934</td>\n",
       "      <td>0.801289</td>\n",
       "      <td>0.650290</td>\n",
       "      <td>0.824796</td>\n",
       "      <td>0.504638</td>\n",
       "      <td>0.304650</td>\n",
       "      <td>0.925207</td>\n",
       "      <td>0.393955</td>\n",
       "      <td>0.199614</td>\n",
       "      <td>0.361320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0.953575</td>\n",
       "      <td>0.922337</td>\n",
       "      <td>0.884806</td>\n",
       "      <td>0.299552</td>\n",
       "      <td>0.679289</td>\n",
       "      <td>0.711889</td>\n",
       "      <td>0.440971</td>\n",
       "      <td>0.073767</td>\n",
       "      <td>0.381541</td>\n",
       "      <td>0.685877</td>\n",
       "      <td>0.389958</td>\n",
       "      <td>0.786228</td>\n",
       "      <td>0.037824</td>\n",
       "      <td>0.399811</td>\n",
       "      <td>0.662579</td>\n",
       "      <td>0.424186</td>\n",
       "      <td>0.303661</td>\n",
       "      <td>0.254112</td>\n",
       "      <td>0.583194</td>\n",
       "      <td>0.846797</td>\n",
       "      <td>0.531135</td>\n",
       "      <td>0.838616</td>\n",
       "      <td>0.170024</td>\n",
       "      <td>0.300355</td>\n",
       "      <td>0.381237</td>\n",
       "      <td>0.997520</td>\n",
       "      <td>0.247993</td>\n",
       "      <td>0.954518</td>\n",
       "      <td>0.220393</td>\n",
       "      <td>0.734893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0.258229</td>\n",
       "      <td>0.073306</td>\n",
       "      <td>0.951804</td>\n",
       "      <td>0.885290</td>\n",
       "      <td>0.788127</td>\n",
       "      <td>0.719723</td>\n",
       "      <td>0.399676</td>\n",
       "      <td>0.687057</td>\n",
       "      <td>0.699859</td>\n",
       "      <td>0.176459</td>\n",
       "      <td>0.296652</td>\n",
       "      <td>0.573588</td>\n",
       "      <td>0.557119</td>\n",
       "      <td>0.018452</td>\n",
       "      <td>0.185157</td>\n",
       "      <td>0.349415</td>\n",
       "      <td>0.163049</td>\n",
       "      <td>0.317488</td>\n",
       "      <td>0.366420</td>\n",
       "      <td>0.560923</td>\n",
       "      <td>0.721519</td>\n",
       "      <td>0.520232</td>\n",
       "      <td>0.380921</td>\n",
       "      <td>0.106550</td>\n",
       "      <td>0.952323</td>\n",
       "      <td>0.101439</td>\n",
       "      <td>0.329474</td>\n",
       "      <td>0.361227</td>\n",
       "      <td>0.659153</td>\n",
       "      <td>0.464153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>0.549358</td>\n",
       "      <td>0.710228</td>\n",
       "      <td>0.178180</td>\n",
       "      <td>0.152340</td>\n",
       "      <td>0.528744</td>\n",
       "      <td>0.198425</td>\n",
       "      <td>0.938740</td>\n",
       "      <td>0.160028</td>\n",
       "      <td>0.150605</td>\n",
       "      <td>0.071756</td>\n",
       "      <td>0.055665</td>\n",
       "      <td>0.519298</td>\n",
       "      <td>0.864991</td>\n",
       "      <td>0.957702</td>\n",
       "      <td>0.382958</td>\n",
       "      <td>0.599153</td>\n",
       "      <td>0.451381</td>\n",
       "      <td>0.784357</td>\n",
       "      <td>0.623244</td>\n",
       "      <td>0.135769</td>\n",
       "      <td>0.289674</td>\n",
       "      <td>0.074639</td>\n",
       "      <td>0.548266</td>\n",
       "      <td>0.208628</td>\n",
       "      <td>0.476588</td>\n",
       "      <td>0.636338</td>\n",
       "      <td>0.104437</td>\n",
       "      <td>0.422542</td>\n",
       "      <td>0.098107</td>\n",
       "      <td>0.554296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>0.621805</td>\n",
       "      <td>0.524272</td>\n",
       "      <td>0.235312</td>\n",
       "      <td>0.526435</td>\n",
       "      <td>0.657705</td>\n",
       "      <td>0.229933</td>\n",
       "      <td>0.235847</td>\n",
       "      <td>0.282753</td>\n",
       "      <td>0.834884</td>\n",
       "      <td>0.122854</td>\n",
       "      <td>0.848491</td>\n",
       "      <td>0.741738</td>\n",
       "      <td>0.494087</td>\n",
       "      <td>0.306413</td>\n",
       "      <td>0.894412</td>\n",
       "      <td>0.190550</td>\n",
       "      <td>0.910316</td>\n",
       "      <td>0.311451</td>\n",
       "      <td>0.824721</td>\n",
       "      <td>0.504628</td>\n",
       "      <td>0.369316</td>\n",
       "      <td>0.730550</td>\n",
       "      <td>0.242383</td>\n",
       "      <td>0.692589</td>\n",
       "      <td>0.589590</td>\n",
       "      <td>0.383386</td>\n",
       "      <td>0.480540</td>\n",
       "      <td>0.741165</td>\n",
       "      <td>0.831809</td>\n",
       "      <td>0.777391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>0.459047</td>\n",
       "      <td>0.150274</td>\n",
       "      <td>0.122675</td>\n",
       "      <td>0.676454</td>\n",
       "      <td>0.190762</td>\n",
       "      <td>0.983444</td>\n",
       "      <td>0.858931</td>\n",
       "      <td>0.374379</td>\n",
       "      <td>0.785685</td>\n",
       "      <td>0.895374</td>\n",
       "      <td>0.422959</td>\n",
       "      <td>0.944429</td>\n",
       "      <td>0.817486</td>\n",
       "      <td>0.365144</td>\n",
       "      <td>0.712443</td>\n",
       "      <td>0.580169</td>\n",
       "      <td>0.582657</td>\n",
       "      <td>0.023031</td>\n",
       "      <td>0.974471</td>\n",
       "      <td>0.886274</td>\n",
       "      <td>0.896820</td>\n",
       "      <td>0.829163</td>\n",
       "      <td>0.417331</td>\n",
       "      <td>0.881706</td>\n",
       "      <td>0.582530</td>\n",
       "      <td>0.218453</td>\n",
       "      <td>0.787999</td>\n",
       "      <td>0.522737</td>\n",
       "      <td>0.469207</td>\n",
       "      <td>0.630730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>0.903882</td>\n",
       "      <td>0.576907</td>\n",
       "      <td>0.344177</td>\n",
       "      <td>0.604432</td>\n",
       "      <td>0.490661</td>\n",
       "      <td>0.766432</td>\n",
       "      <td>0.413066</td>\n",
       "      <td>0.127637</td>\n",
       "      <td>0.457778</td>\n",
       "      <td>0.898217</td>\n",
       "      <td>0.198500</td>\n",
       "      <td>0.101609</td>\n",
       "      <td>0.755922</td>\n",
       "      <td>0.126097</td>\n",
       "      <td>0.594624</td>\n",
       "      <td>0.449357</td>\n",
       "      <td>0.652551</td>\n",
       "      <td>0.487731</td>\n",
       "      <td>0.739320</td>\n",
       "      <td>0.751277</td>\n",
       "      <td>0.668256</td>\n",
       "      <td>0.069956</td>\n",
       "      <td>0.298945</td>\n",
       "      <td>0.557159</td>\n",
       "      <td>0.755293</td>\n",
       "      <td>0.152569</td>\n",
       "      <td>0.764885</td>\n",
       "      <td>0.146185</td>\n",
       "      <td>0.886109</td>\n",
       "      <td>0.499044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>0.561893</td>\n",
       "      <td>0.597008</td>\n",
       "      <td>0.255584</td>\n",
       "      <td>0.322507</td>\n",
       "      <td>0.879646</td>\n",
       "      <td>0.708222</td>\n",
       "      <td>0.311214</td>\n",
       "      <td>0.054658</td>\n",
       "      <td>0.306404</td>\n",
       "      <td>0.352801</td>\n",
       "      <td>0.207221</td>\n",
       "      <td>0.131020</td>\n",
       "      <td>0.894150</td>\n",
       "      <td>0.736893</td>\n",
       "      <td>0.036322</td>\n",
       "      <td>0.829056</td>\n",
       "      <td>0.001874</td>\n",
       "      <td>0.766904</td>\n",
       "      <td>0.107745</td>\n",
       "      <td>0.181201</td>\n",
       "      <td>0.209287</td>\n",
       "      <td>0.704393</td>\n",
       "      <td>0.466890</td>\n",
       "      <td>0.771573</td>\n",
       "      <td>0.657276</td>\n",
       "      <td>0.762535</td>\n",
       "      <td>0.415738</td>\n",
       "      <td>0.802490</td>\n",
       "      <td>0.518260</td>\n",
       "      <td>0.679503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.888263</td>\n",
       "      <td>0.005625</td>\n",
       "      <td>0.089216</td>\n",
       "      <td>0.113007</td>\n",
       "      <td>0.220397</td>\n",
       "      <td>0.810721</td>\n",
       "      <td>0.152707</td>\n",
       "      <td>0.338453</td>\n",
       "      <td>0.377245</td>\n",
       "      <td>0.089314</td>\n",
       "      <td>0.840349</td>\n",
       "      <td>0.418788</td>\n",
       "      <td>0.287238</td>\n",
       "      <td>0.356639</td>\n",
       "      <td>0.732129</td>\n",
       "      <td>0.021448</td>\n",
       "      <td>0.574784</td>\n",
       "      <td>0.121079</td>\n",
       "      <td>0.446276</td>\n",
       "      <td>0.849435</td>\n",
       "      <td>0.041734</td>\n",
       "      <td>0.880450</td>\n",
       "      <td>0.683843</td>\n",
       "      <td>0.723314</td>\n",
       "      <td>0.665375</td>\n",
       "      <td>0.994892</td>\n",
       "      <td>0.808250</td>\n",
       "      <td>0.591550</td>\n",
       "      <td>0.027459</td>\n",
       "      <td>0.750605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>0.110096</td>\n",
       "      <td>0.251765</td>\n",
       "      <td>0.793428</td>\n",
       "      <td>0.430833</td>\n",
       "      <td>0.861921</td>\n",
       "      <td>0.663657</td>\n",
       "      <td>0.401012</td>\n",
       "      <td>0.057624</td>\n",
       "      <td>0.617171</td>\n",
       "      <td>0.585709</td>\n",
       "      <td>0.952863</td>\n",
       "      <td>0.089109</td>\n",
       "      <td>0.396258</td>\n",
       "      <td>0.514058</td>\n",
       "      <td>0.024191</td>\n",
       "      <td>0.328654</td>\n",
       "      <td>0.717438</td>\n",
       "      <td>0.022365</td>\n",
       "      <td>0.142573</td>\n",
       "      <td>0.205886</td>\n",
       "      <td>0.647488</td>\n",
       "      <td>0.524721</td>\n",
       "      <td>0.193966</td>\n",
       "      <td>0.623070</td>\n",
       "      <td>0.079615</td>\n",
       "      <td>0.835274</td>\n",
       "      <td>0.758916</td>\n",
       "      <td>0.644262</td>\n",
       "      <td>0.800594</td>\n",
       "      <td>0.906065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>0.373095</td>\n",
       "      <td>0.674368</td>\n",
       "      <td>0.006626</td>\n",
       "      <td>0.531828</td>\n",
       "      <td>0.103363</td>\n",
       "      <td>0.224212</td>\n",
       "      <td>0.448203</td>\n",
       "      <td>0.691698</td>\n",
       "      <td>0.372925</td>\n",
       "      <td>0.262914</td>\n",
       "      <td>0.024516</td>\n",
       "      <td>0.122373</td>\n",
       "      <td>0.311720</td>\n",
       "      <td>0.382394</td>\n",
       "      <td>0.409725</td>\n",
       "      <td>0.729299</td>\n",
       "      <td>0.268347</td>\n",
       "      <td>0.229804</td>\n",
       "      <td>0.150551</td>\n",
       "      <td>0.426595</td>\n",
       "      <td>0.240304</td>\n",
       "      <td>0.911477</td>\n",
       "      <td>0.609629</td>\n",
       "      <td>0.114163</td>\n",
       "      <td>0.633115</td>\n",
       "      <td>0.941467</td>\n",
       "      <td>0.556431</td>\n",
       "      <td>0.597430</td>\n",
       "      <td>0.269005</td>\n",
       "      <td>0.758348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>0.442777</td>\n",
       "      <td>0.000470</td>\n",
       "      <td>0.349322</td>\n",
       "      <td>0.847618</td>\n",
       "      <td>0.216712</td>\n",
       "      <td>0.393309</td>\n",
       "      <td>0.658365</td>\n",
       "      <td>0.232768</td>\n",
       "      <td>0.788810</td>\n",
       "      <td>0.511310</td>\n",
       "      <td>0.295138</td>\n",
       "      <td>0.542790</td>\n",
       "      <td>0.636588</td>\n",
       "      <td>0.779574</td>\n",
       "      <td>0.959593</td>\n",
       "      <td>0.778705</td>\n",
       "      <td>0.365191</td>\n",
       "      <td>0.398598</td>\n",
       "      <td>0.250133</td>\n",
       "      <td>0.669720</td>\n",
       "      <td>0.068832</td>\n",
       "      <td>0.150054</td>\n",
       "      <td>0.699938</td>\n",
       "      <td>0.367287</td>\n",
       "      <td>0.580641</td>\n",
       "      <td>0.191205</td>\n",
       "      <td>0.107215</td>\n",
       "      <td>0.032595</td>\n",
       "      <td>0.379773</td>\n",
       "      <td>0.619523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>0.530668</td>\n",
       "      <td>0.376467</td>\n",
       "      <td>0.338522</td>\n",
       "      <td>0.351587</td>\n",
       "      <td>0.392377</td>\n",
       "      <td>0.291380</td>\n",
       "      <td>0.241266</td>\n",
       "      <td>0.430250</td>\n",
       "      <td>0.804930</td>\n",
       "      <td>0.326878</td>\n",
       "      <td>0.867327</td>\n",
       "      <td>0.496549</td>\n",
       "      <td>0.543669</td>\n",
       "      <td>0.930088</td>\n",
       "      <td>0.194347</td>\n",
       "      <td>0.209162</td>\n",
       "      <td>0.603991</td>\n",
       "      <td>0.073787</td>\n",
       "      <td>0.435740</td>\n",
       "      <td>0.968915</td>\n",
       "      <td>0.047523</td>\n",
       "      <td>0.044949</td>\n",
       "      <td>0.055982</td>\n",
       "      <td>0.464782</td>\n",
       "      <td>0.185307</td>\n",
       "      <td>0.689003</td>\n",
       "      <td>0.236008</td>\n",
       "      <td>0.771977</td>\n",
       "      <td>0.751289</td>\n",
       "      <td>0.392166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>0.168931</td>\n",
       "      <td>0.914029</td>\n",
       "      <td>0.309646</td>\n",
       "      <td>0.326802</td>\n",
       "      <td>0.068219</td>\n",
       "      <td>0.379085</td>\n",
       "      <td>0.049438</td>\n",
       "      <td>0.594426</td>\n",
       "      <td>0.162537</td>\n",
       "      <td>0.163292</td>\n",
       "      <td>0.396039</td>\n",
       "      <td>0.313997</td>\n",
       "      <td>0.151314</td>\n",
       "      <td>0.231237</td>\n",
       "      <td>0.834722</td>\n",
       "      <td>0.939717</td>\n",
       "      <td>0.469184</td>\n",
       "      <td>0.578252</td>\n",
       "      <td>0.123564</td>\n",
       "      <td>0.656203</td>\n",
       "      <td>0.212590</td>\n",
       "      <td>0.820115</td>\n",
       "      <td>0.052182</td>\n",
       "      <td>0.267062</td>\n",
       "      <td>0.124191</td>\n",
       "      <td>0.430600</td>\n",
       "      <td>0.446272</td>\n",
       "      <td>0.779073</td>\n",
       "      <td>0.790516</td>\n",
       "      <td>0.533594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>0.969493</td>\n",
       "      <td>0.084686</td>\n",
       "      <td>0.826482</td>\n",
       "      <td>0.108448</td>\n",
       "      <td>0.569722</td>\n",
       "      <td>0.617112</td>\n",
       "      <td>0.646065</td>\n",
       "      <td>0.161539</td>\n",
       "      <td>0.730931</td>\n",
       "      <td>0.940965</td>\n",
       "      <td>0.950832</td>\n",
       "      <td>0.538184</td>\n",
       "      <td>0.872905</td>\n",
       "      <td>0.207183</td>\n",
       "      <td>0.586554</td>\n",
       "      <td>0.185640</td>\n",
       "      <td>0.461027</td>\n",
       "      <td>0.602014</td>\n",
       "      <td>0.724557</td>\n",
       "      <td>0.886336</td>\n",
       "      <td>0.099279</td>\n",
       "      <td>0.952010</td>\n",
       "      <td>0.361844</td>\n",
       "      <td>0.746798</td>\n",
       "      <td>0.248278</td>\n",
       "      <td>0.097081</td>\n",
       "      <td>0.499007</td>\n",
       "      <td>0.015886</td>\n",
       "      <td>0.489082</td>\n",
       "      <td>0.985338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>0.341085</td>\n",
       "      <td>0.556542</td>\n",
       "      <td>0.229091</td>\n",
       "      <td>0.524727</td>\n",
       "      <td>0.367717</td>\n",
       "      <td>0.749818</td>\n",
       "      <td>0.047264</td>\n",
       "      <td>0.952503</td>\n",
       "      <td>0.244925</td>\n",
       "      <td>0.748086</td>\n",
       "      <td>0.975804</td>\n",
       "      <td>0.242086</td>\n",
       "      <td>0.415957</td>\n",
       "      <td>0.271573</td>\n",
       "      <td>0.316028</td>\n",
       "      <td>0.614613</td>\n",
       "      <td>0.303237</td>\n",
       "      <td>0.163130</td>\n",
       "      <td>0.196834</td>\n",
       "      <td>0.906492</td>\n",
       "      <td>0.262982</td>\n",
       "      <td>0.386960</td>\n",
       "      <td>0.382168</td>\n",
       "      <td>0.086392</td>\n",
       "      <td>0.141270</td>\n",
       "      <td>0.282643</td>\n",
       "      <td>0.396020</td>\n",
       "      <td>0.178328</td>\n",
       "      <td>0.856421</td>\n",
       "      <td>0.458342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>0.028708</td>\n",
       "      <td>0.463375</td>\n",
       "      <td>0.149176</td>\n",
       "      <td>0.202438</td>\n",
       "      <td>0.763428</td>\n",
       "      <td>0.562348</td>\n",
       "      <td>0.557011</td>\n",
       "      <td>0.840089</td>\n",
       "      <td>0.418843</td>\n",
       "      <td>0.050686</td>\n",
       "      <td>0.908020</td>\n",
       "      <td>0.904373</td>\n",
       "      <td>0.764753</td>\n",
       "      <td>0.996586</td>\n",
       "      <td>0.182455</td>\n",
       "      <td>0.033250</td>\n",
       "      <td>0.859588</td>\n",
       "      <td>0.085220</td>\n",
       "      <td>0.675355</td>\n",
       "      <td>0.925079</td>\n",
       "      <td>0.549517</td>\n",
       "      <td>0.117069</td>\n",
       "      <td>0.183175</td>\n",
       "      <td>0.530703</td>\n",
       "      <td>0.509579</td>\n",
       "      <td>0.672034</td>\n",
       "      <td>0.319676</td>\n",
       "      <td>0.782981</td>\n",
       "      <td>0.014328</td>\n",
       "      <td>0.609038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>0.783115</td>\n",
       "      <td>0.800046</td>\n",
       "      <td>0.883843</td>\n",
       "      <td>0.883993</td>\n",
       "      <td>0.228633</td>\n",
       "      <td>0.823703</td>\n",
       "      <td>0.717880</td>\n",
       "      <td>0.897609</td>\n",
       "      <td>0.404378</td>\n",
       "      <td>0.021706</td>\n",
       "      <td>0.618371</td>\n",
       "      <td>0.906555</td>\n",
       "      <td>0.406228</td>\n",
       "      <td>0.399742</td>\n",
       "      <td>0.042835</td>\n",
       "      <td>0.912831</td>\n",
       "      <td>0.395944</td>\n",
       "      <td>0.271927</td>\n",
       "      <td>0.628504</td>\n",
       "      <td>0.174363</td>\n",
       "      <td>0.798152</td>\n",
       "      <td>0.944091</td>\n",
       "      <td>0.485462</td>\n",
       "      <td>0.305534</td>\n",
       "      <td>0.195840</td>\n",
       "      <td>0.373059</td>\n",
       "      <td>0.815720</td>\n",
       "      <td>0.145745</td>\n",
       "      <td>0.860231</td>\n",
       "      <td>0.946066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>0.973698</td>\n",
       "      <td>0.726040</td>\n",
       "      <td>0.639923</td>\n",
       "      <td>0.316196</td>\n",
       "      <td>0.494202</td>\n",
       "      <td>0.536626</td>\n",
       "      <td>0.408289</td>\n",
       "      <td>0.227556</td>\n",
       "      <td>0.454884</td>\n",
       "      <td>0.737726</td>\n",
       "      <td>0.518611</td>\n",
       "      <td>0.341362</td>\n",
       "      <td>0.055167</td>\n",
       "      <td>0.162260</td>\n",
       "      <td>0.971913</td>\n",
       "      <td>0.742634</td>\n",
       "      <td>0.569280</td>\n",
       "      <td>0.963495</td>\n",
       "      <td>0.526262</td>\n",
       "      <td>0.463755</td>\n",
       "      <td>0.176424</td>\n",
       "      <td>0.281526</td>\n",
       "      <td>0.021693</td>\n",
       "      <td>0.213761</td>\n",
       "      <td>0.219988</td>\n",
       "      <td>0.435527</td>\n",
       "      <td>0.449357</td>\n",
       "      <td>0.759042</td>\n",
       "      <td>0.059454</td>\n",
       "      <td>0.882776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>0.782099</td>\n",
       "      <td>0.685117</td>\n",
       "      <td>0.025872</td>\n",
       "      <td>0.334492</td>\n",
       "      <td>0.373683</td>\n",
       "      <td>0.477641</td>\n",
       "      <td>0.568215</td>\n",
       "      <td>0.779146</td>\n",
       "      <td>0.071995</td>\n",
       "      <td>0.785226</td>\n",
       "      <td>0.712795</td>\n",
       "      <td>0.380059</td>\n",
       "      <td>0.100539</td>\n",
       "      <td>0.806584</td>\n",
       "      <td>0.856195</td>\n",
       "      <td>0.190467</td>\n",
       "      <td>0.524509</td>\n",
       "      <td>0.923388</td>\n",
       "      <td>0.885587</td>\n",
       "      <td>0.142400</td>\n",
       "      <td>0.068274</td>\n",
       "      <td>0.551541</td>\n",
       "      <td>0.324617</td>\n",
       "      <td>0.048629</td>\n",
       "      <td>0.105459</td>\n",
       "      <td>0.427634</td>\n",
       "      <td>0.178608</td>\n",
       "      <td>0.079104</td>\n",
       "      <td>0.338519</td>\n",
       "      <td>0.832808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>0.332245</td>\n",
       "      <td>0.609512</td>\n",
       "      <td>0.707263</td>\n",
       "      <td>0.815713</td>\n",
       "      <td>0.793509</td>\n",
       "      <td>0.721522</td>\n",
       "      <td>0.923366</td>\n",
       "      <td>0.041724</td>\n",
       "      <td>0.165307</td>\n",
       "      <td>0.691348</td>\n",
       "      <td>0.316237</td>\n",
       "      <td>0.799991</td>\n",
       "      <td>0.955482</td>\n",
       "      <td>0.325381</td>\n",
       "      <td>0.224191</td>\n",
       "      <td>0.224140</td>\n",
       "      <td>0.039197</td>\n",
       "      <td>0.796239</td>\n",
       "      <td>0.691752</td>\n",
       "      <td>0.270912</td>\n",
       "      <td>0.223103</td>\n",
       "      <td>0.428264</td>\n",
       "      <td>0.739740</td>\n",
       "      <td>0.750224</td>\n",
       "      <td>0.090991</td>\n",
       "      <td>0.510390</td>\n",
       "      <td>0.078146</td>\n",
       "      <td>0.073564</td>\n",
       "      <td>0.568727</td>\n",
       "      <td>0.106031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>0.400545</td>\n",
       "      <td>0.762777</td>\n",
       "      <td>0.738563</td>\n",
       "      <td>0.737075</td>\n",
       "      <td>0.336047</td>\n",
       "      <td>0.932191</td>\n",
       "      <td>0.801716</td>\n",
       "      <td>0.287510</td>\n",
       "      <td>0.552654</td>\n",
       "      <td>0.702003</td>\n",
       "      <td>0.538719</td>\n",
       "      <td>0.964124</td>\n",
       "      <td>0.193855</td>\n",
       "      <td>0.286752</td>\n",
       "      <td>0.956875</td>\n",
       "      <td>0.172407</td>\n",
       "      <td>0.469483</td>\n",
       "      <td>0.587602</td>\n",
       "      <td>0.216050</td>\n",
       "      <td>0.197944</td>\n",
       "      <td>0.753592</td>\n",
       "      <td>0.442888</td>\n",
       "      <td>0.699712</td>\n",
       "      <td>0.656769</td>\n",
       "      <td>0.882594</td>\n",
       "      <td>0.381329</td>\n",
       "      <td>0.846669</td>\n",
       "      <td>0.301897</td>\n",
       "      <td>0.016270</td>\n",
       "      <td>0.811660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>0.088581</td>\n",
       "      <td>0.170916</td>\n",
       "      <td>0.008525</td>\n",
       "      <td>0.202978</td>\n",
       "      <td>0.271690</td>\n",
       "      <td>0.594154</td>\n",
       "      <td>0.780043</td>\n",
       "      <td>0.810323</td>\n",
       "      <td>0.807003</td>\n",
       "      <td>0.638173</td>\n",
       "      <td>0.946288</td>\n",
       "      <td>0.330072</td>\n",
       "      <td>0.687379</td>\n",
       "      <td>0.245010</td>\n",
       "      <td>0.652627</td>\n",
       "      <td>0.583266</td>\n",
       "      <td>0.926175</td>\n",
       "      <td>0.699227</td>\n",
       "      <td>0.390555</td>\n",
       "      <td>0.707715</td>\n",
       "      <td>0.197371</td>\n",
       "      <td>0.183450</td>\n",
       "      <td>0.728087</td>\n",
       "      <td>0.412985</td>\n",
       "      <td>0.012570</td>\n",
       "      <td>0.935167</td>\n",
       "      <td>0.037356</td>\n",
       "      <td>0.693228</td>\n",
       "      <td>0.191860</td>\n",
       "      <td>0.630727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>0.217685</td>\n",
       "      <td>0.332907</td>\n",
       "      <td>0.253683</td>\n",
       "      <td>0.167637</td>\n",
       "      <td>0.712248</td>\n",
       "      <td>0.334669</td>\n",
       "      <td>0.669454</td>\n",
       "      <td>0.566433</td>\n",
       "      <td>0.551753</td>\n",
       "      <td>0.949788</td>\n",
       "      <td>0.199111</td>\n",
       "      <td>0.186971</td>\n",
       "      <td>0.925138</td>\n",
       "      <td>0.429849</td>\n",
       "      <td>0.100118</td>\n",
       "      <td>0.245210</td>\n",
       "      <td>0.005838</td>\n",
       "      <td>0.328856</td>\n",
       "      <td>0.472778</td>\n",
       "      <td>0.702947</td>\n",
       "      <td>0.784864</td>\n",
       "      <td>0.907587</td>\n",
       "      <td>0.498185</td>\n",
       "      <td>0.672659</td>\n",
       "      <td>0.678085</td>\n",
       "      <td>0.240770</td>\n",
       "      <td>0.309763</td>\n",
       "      <td>0.555630</td>\n",
       "      <td>0.948622</td>\n",
       "      <td>0.561589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>0.953669</td>\n",
       "      <td>0.936532</td>\n",
       "      <td>0.519399</td>\n",
       "      <td>0.407463</td>\n",
       "      <td>0.124661</td>\n",
       "      <td>0.032237</td>\n",
       "      <td>0.057315</td>\n",
       "      <td>0.324400</td>\n",
       "      <td>0.918338</td>\n",
       "      <td>0.078754</td>\n",
       "      <td>0.870815</td>\n",
       "      <td>0.038274</td>\n",
       "      <td>0.458141</td>\n",
       "      <td>0.490392</td>\n",
       "      <td>0.061840</td>\n",
       "      <td>0.601993</td>\n",
       "      <td>0.581063</td>\n",
       "      <td>0.678933</td>\n",
       "      <td>0.394721</td>\n",
       "      <td>0.203167</td>\n",
       "      <td>0.703948</td>\n",
       "      <td>0.884715</td>\n",
       "      <td>0.743305</td>\n",
       "      <td>0.092940</td>\n",
       "      <td>0.462505</td>\n",
       "      <td>0.221352</td>\n",
       "      <td>0.237253</td>\n",
       "      <td>0.876668</td>\n",
       "      <td>0.164604</td>\n",
       "      <td>0.362618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>0.337216</td>\n",
       "      <td>0.119393</td>\n",
       "      <td>0.140407</td>\n",
       "      <td>0.358066</td>\n",
       "      <td>0.403849</td>\n",
       "      <td>0.153271</td>\n",
       "      <td>0.030057</td>\n",
       "      <td>0.693285</td>\n",
       "      <td>0.950651</td>\n",
       "      <td>0.297738</td>\n",
       "      <td>0.459632</td>\n",
       "      <td>0.627602</td>\n",
       "      <td>0.563293</td>\n",
       "      <td>0.052328</td>\n",
       "      <td>0.717753</td>\n",
       "      <td>0.526154</td>\n",
       "      <td>0.658606</td>\n",
       "      <td>0.066890</td>\n",
       "      <td>0.042696</td>\n",
       "      <td>0.201334</td>\n",
       "      <td>0.641133</td>\n",
       "      <td>0.300364</td>\n",
       "      <td>0.835279</td>\n",
       "      <td>0.337558</td>\n",
       "      <td>0.372496</td>\n",
       "      <td>0.087397</td>\n",
       "      <td>0.926316</td>\n",
       "      <td>0.437987</td>\n",
       "      <td>0.844932</td>\n",
       "      <td>0.575924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>0.867706</td>\n",
       "      <td>0.960807</td>\n",
       "      <td>0.292504</td>\n",
       "      <td>0.782552</td>\n",
       "      <td>0.923039</td>\n",
       "      <td>0.448507</td>\n",
       "      <td>0.367906</td>\n",
       "      <td>0.668406</td>\n",
       "      <td>0.213995</td>\n",
       "      <td>0.596635</td>\n",
       "      <td>0.711361</td>\n",
       "      <td>0.473227</td>\n",
       "      <td>0.624156</td>\n",
       "      <td>0.164661</td>\n",
       "      <td>0.355097</td>\n",
       "      <td>0.635242</td>\n",
       "      <td>0.469168</td>\n",
       "      <td>0.312519</td>\n",
       "      <td>0.792453</td>\n",
       "      <td>0.711826</td>\n",
       "      <td>0.825279</td>\n",
       "      <td>0.790778</td>\n",
       "      <td>0.262842</td>\n",
       "      <td>0.774944</td>\n",
       "      <td>0.323007</td>\n",
       "      <td>0.590386</td>\n",
       "      <td>0.458286</td>\n",
       "      <td>0.118084</td>\n",
       "      <td>0.823297</td>\n",
       "      <td>0.871790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>0.464712</td>\n",
       "      <td>0.638916</td>\n",
       "      <td>0.596911</td>\n",
       "      <td>0.400870</td>\n",
       "      <td>0.389924</td>\n",
       "      <td>0.455020</td>\n",
       "      <td>0.707760</td>\n",
       "      <td>0.285201</td>\n",
       "      <td>0.285224</td>\n",
       "      <td>0.786104</td>\n",
       "      <td>0.561744</td>\n",
       "      <td>0.714790</td>\n",
       "      <td>0.159662</td>\n",
       "      <td>0.783853</td>\n",
       "      <td>0.728461</td>\n",
       "      <td>0.403996</td>\n",
       "      <td>0.030646</td>\n",
       "      <td>0.388762</td>\n",
       "      <td>0.716370</td>\n",
       "      <td>0.089414</td>\n",
       "      <td>0.191447</td>\n",
       "      <td>0.419190</td>\n",
       "      <td>0.367281</td>\n",
       "      <td>0.378881</td>\n",
       "      <td>0.462889</td>\n",
       "      <td>0.850073</td>\n",
       "      <td>0.114963</td>\n",
       "      <td>0.423717</td>\n",
       "      <td>0.210187</td>\n",
       "      <td>0.802821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0.640694</td>\n",
       "      <td>0.652765</td>\n",
       "      <td>0.172012</td>\n",
       "      <td>0.238701</td>\n",
       "      <td>0.435301</td>\n",
       "      <td>0.632372</td>\n",
       "      <td>0.835614</td>\n",
       "      <td>0.340019</td>\n",
       "      <td>0.624258</td>\n",
       "      <td>0.596465</td>\n",
       "      <td>0.618562</td>\n",
       "      <td>0.715032</td>\n",
       "      <td>0.009530</td>\n",
       "      <td>0.329951</td>\n",
       "      <td>0.113655</td>\n",
       "      <td>0.253422</td>\n",
       "      <td>0.819658</td>\n",
       "      <td>0.760127</td>\n",
       "      <td>0.049612</td>\n",
       "      <td>0.748235</td>\n",
       "      <td>0.276491</td>\n",
       "      <td>0.079133</td>\n",
       "      <td>0.597637</td>\n",
       "      <td>0.976567</td>\n",
       "      <td>0.862701</td>\n",
       "      <td>0.753617</td>\n",
       "      <td>0.715103</td>\n",
       "      <td>0.418215</td>\n",
       "      <td>0.168063</td>\n",
       "      <td>0.244866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>0.542074</td>\n",
       "      <td>0.470207</td>\n",
       "      <td>0.361913</td>\n",
       "      <td>0.498920</td>\n",
       "      <td>0.595839</td>\n",
       "      <td>0.560050</td>\n",
       "      <td>0.184479</td>\n",
       "      <td>0.104579</td>\n",
       "      <td>0.068542</td>\n",
       "      <td>0.012931</td>\n",
       "      <td>0.875295</td>\n",
       "      <td>0.687544</td>\n",
       "      <td>0.616432</td>\n",
       "      <td>0.750181</td>\n",
       "      <td>0.841943</td>\n",
       "      <td>0.982929</td>\n",
       "      <td>0.770140</td>\n",
       "      <td>0.048483</td>\n",
       "      <td>0.005412</td>\n",
       "      <td>0.017292</td>\n",
       "      <td>0.391493</td>\n",
       "      <td>0.420823</td>\n",
       "      <td>0.891302</td>\n",
       "      <td>0.597312</td>\n",
       "      <td>0.489133</td>\n",
       "      <td>0.672835</td>\n",
       "      <td>0.979283</td>\n",
       "      <td>0.423083</td>\n",
       "      <td>0.450852</td>\n",
       "      <td>0.491330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>0.446899</td>\n",
       "      <td>0.956943</td>\n",
       "      <td>0.421512</td>\n",
       "      <td>0.671973</td>\n",
       "      <td>0.493486</td>\n",
       "      <td>0.706159</td>\n",
       "      <td>0.811837</td>\n",
       "      <td>0.988642</td>\n",
       "      <td>0.653512</td>\n",
       "      <td>0.658120</td>\n",
       "      <td>0.012855</td>\n",
       "      <td>0.744878</td>\n",
       "      <td>0.350415</td>\n",
       "      <td>0.984497</td>\n",
       "      <td>0.553889</td>\n",
       "      <td>0.072274</td>\n",
       "      <td>0.230562</td>\n",
       "      <td>0.985526</td>\n",
       "      <td>0.341784</td>\n",
       "      <td>0.341256</td>\n",
       "      <td>0.926718</td>\n",
       "      <td>0.374552</td>\n",
       "      <td>0.815879</td>\n",
       "      <td>0.087653</td>\n",
       "      <td>0.062792</td>\n",
       "      <td>0.441571</td>\n",
       "      <td>0.381581</td>\n",
       "      <td>0.653622</td>\n",
       "      <td>0.638020</td>\n",
       "      <td>0.639932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>0.046757</td>\n",
       "      <td>0.093515</td>\n",
       "      <td>0.978705</td>\n",
       "      <td>0.073193</td>\n",
       "      <td>0.087144</td>\n",
       "      <td>0.628222</td>\n",
       "      <td>0.237686</td>\n",
       "      <td>0.202346</td>\n",
       "      <td>0.455385</td>\n",
       "      <td>0.453386</td>\n",
       "      <td>0.558833</td>\n",
       "      <td>0.899820</td>\n",
       "      <td>0.129453</td>\n",
       "      <td>0.230235</td>\n",
       "      <td>0.912613</td>\n",
       "      <td>0.725789</td>\n",
       "      <td>0.191705</td>\n",
       "      <td>0.521836</td>\n",
       "      <td>0.169267</td>\n",
       "      <td>0.234400</td>\n",
       "      <td>0.697058</td>\n",
       "      <td>0.400330</td>\n",
       "      <td>0.517042</td>\n",
       "      <td>0.010785</td>\n",
       "      <td>0.180624</td>\n",
       "      <td>0.371430</td>\n",
       "      <td>0.392193</td>\n",
       "      <td>0.581574</td>\n",
       "      <td>0.664830</td>\n",
       "      <td>0.846698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>0.192386</td>\n",
       "      <td>0.232344</td>\n",
       "      <td>0.390192</td>\n",
       "      <td>0.828145</td>\n",
       "      <td>0.793634</td>\n",
       "      <td>0.749096</td>\n",
       "      <td>0.810883</td>\n",
       "      <td>0.700307</td>\n",
       "      <td>0.307748</td>\n",
       "      <td>0.483095</td>\n",
       "      <td>0.057844</td>\n",
       "      <td>0.016603</td>\n",
       "      <td>0.318474</td>\n",
       "      <td>0.959070</td>\n",
       "      <td>0.769295</td>\n",
       "      <td>0.794240</td>\n",
       "      <td>0.365978</td>\n",
       "      <td>0.875939</td>\n",
       "      <td>0.688364</td>\n",
       "      <td>0.340601</td>\n",
       "      <td>0.749707</td>\n",
       "      <td>0.855207</td>\n",
       "      <td>0.437958</td>\n",
       "      <td>0.202583</td>\n",
       "      <td>0.586047</td>\n",
       "      <td>0.223368</td>\n",
       "      <td>0.178667</td>\n",
       "      <td>0.094266</td>\n",
       "      <td>0.676757</td>\n",
       "      <td>0.813497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>0.146629</td>\n",
       "      <td>0.975754</td>\n",
       "      <td>0.197536</td>\n",
       "      <td>0.408597</td>\n",
       "      <td>0.193925</td>\n",
       "      <td>0.309173</td>\n",
       "      <td>0.331368</td>\n",
       "      <td>0.296980</td>\n",
       "      <td>0.382561</td>\n",
       "      <td>0.957489</td>\n",
       "      <td>0.254395</td>\n",
       "      <td>0.250440</td>\n",
       "      <td>0.426225</td>\n",
       "      <td>0.106639</td>\n",
       "      <td>0.094297</td>\n",
       "      <td>0.579362</td>\n",
       "      <td>0.300533</td>\n",
       "      <td>0.416860</td>\n",
       "      <td>0.526611</td>\n",
       "      <td>0.493474</td>\n",
       "      <td>0.446917</td>\n",
       "      <td>0.702993</td>\n",
       "      <td>0.202714</td>\n",
       "      <td>0.800684</td>\n",
       "      <td>0.581990</td>\n",
       "      <td>0.832557</td>\n",
       "      <td>0.681088</td>\n",
       "      <td>0.529595</td>\n",
       "      <td>0.711596</td>\n",
       "      <td>0.172003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>0.973764</td>\n",
       "      <td>0.768562</td>\n",
       "      <td>0.214984</td>\n",
       "      <td>0.891570</td>\n",
       "      <td>0.052226</td>\n",
       "      <td>0.568626</td>\n",
       "      <td>0.203127</td>\n",
       "      <td>0.906710</td>\n",
       "      <td>0.827621</td>\n",
       "      <td>0.994204</td>\n",
       "      <td>0.969008</td>\n",
       "      <td>0.418948</td>\n",
       "      <td>0.342615</td>\n",
       "      <td>0.251654</td>\n",
       "      <td>0.266212</td>\n",
       "      <td>0.682123</td>\n",
       "      <td>0.546489</td>\n",
       "      <td>0.005642</td>\n",
       "      <td>0.380782</td>\n",
       "      <td>0.024447</td>\n",
       "      <td>0.710405</td>\n",
       "      <td>0.963374</td>\n",
       "      <td>0.002851</td>\n",
       "      <td>0.278126</td>\n",
       "      <td>0.303319</td>\n",
       "      <td>0.382781</td>\n",
       "      <td>0.228294</td>\n",
       "      <td>0.117718</td>\n",
       "      <td>0.958912</td>\n",
       "      <td>0.984522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>0.935958</td>\n",
       "      <td>0.112951</td>\n",
       "      <td>0.503738</td>\n",
       "      <td>0.030938</td>\n",
       "      <td>0.020705</td>\n",
       "      <td>0.219586</td>\n",
       "      <td>0.697179</td>\n",
       "      <td>0.523962</td>\n",
       "      <td>0.738986</td>\n",
       "      <td>0.306575</td>\n",
       "      <td>0.208350</td>\n",
       "      <td>0.518736</td>\n",
       "      <td>0.252732</td>\n",
       "      <td>0.317812</td>\n",
       "      <td>0.372713</td>\n",
       "      <td>0.995537</td>\n",
       "      <td>0.917949</td>\n",
       "      <td>0.928822</td>\n",
       "      <td>0.622103</td>\n",
       "      <td>0.868068</td>\n",
       "      <td>0.078160</td>\n",
       "      <td>0.428651</td>\n",
       "      <td>0.148882</td>\n",
       "      <td>0.194853</td>\n",
       "      <td>0.329601</td>\n",
       "      <td>0.455193</td>\n",
       "      <td>0.134463</td>\n",
       "      <td>0.739601</td>\n",
       "      <td>0.143992</td>\n",
       "      <td>0.522306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>0.503141</td>\n",
       "      <td>0.291031</td>\n",
       "      <td>0.299887</td>\n",
       "      <td>0.088615</td>\n",
       "      <td>0.826193</td>\n",
       "      <td>0.694264</td>\n",
       "      <td>0.048398</td>\n",
       "      <td>0.205266</td>\n",
       "      <td>0.579757</td>\n",
       "      <td>0.298720</td>\n",
       "      <td>0.176049</td>\n",
       "      <td>0.370353</td>\n",
       "      <td>0.885604</td>\n",
       "      <td>0.455893</td>\n",
       "      <td>0.692277</td>\n",
       "      <td>0.977451</td>\n",
       "      <td>0.977567</td>\n",
       "      <td>0.323352</td>\n",
       "      <td>0.270029</td>\n",
       "      <td>0.999281</td>\n",
       "      <td>0.202091</td>\n",
       "      <td>0.066818</td>\n",
       "      <td>0.137034</td>\n",
       "      <td>0.248964</td>\n",
       "      <td>0.490571</td>\n",
       "      <td>0.553426</td>\n",
       "      <td>0.839173</td>\n",
       "      <td>0.139945</td>\n",
       "      <td>0.849452</td>\n",
       "      <td>0.852110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>0.517243</td>\n",
       "      <td>0.151222</td>\n",
       "      <td>0.625420</td>\n",
       "      <td>0.026652</td>\n",
       "      <td>0.179042</td>\n",
       "      <td>0.866507</td>\n",
       "      <td>0.305781</td>\n",
       "      <td>0.379515</td>\n",
       "      <td>0.752613</td>\n",
       "      <td>0.880888</td>\n",
       "      <td>0.728655</td>\n",
       "      <td>0.198675</td>\n",
       "      <td>0.563817</td>\n",
       "      <td>0.331599</td>\n",
       "      <td>0.793669</td>\n",
       "      <td>0.274265</td>\n",
       "      <td>0.664210</td>\n",
       "      <td>0.418347</td>\n",
       "      <td>0.784137</td>\n",
       "      <td>0.472254</td>\n",
       "      <td>0.837649</td>\n",
       "      <td>0.714594</td>\n",
       "      <td>0.127457</td>\n",
       "      <td>0.151064</td>\n",
       "      <td>0.844610</td>\n",
       "      <td>0.281106</td>\n",
       "      <td>0.308681</td>\n",
       "      <td>0.831363</td>\n",
       "      <td>0.940927</td>\n",
       "      <td>0.396301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>0.246551</td>\n",
       "      <td>0.410989</td>\n",
       "      <td>0.182548</td>\n",
       "      <td>0.710385</td>\n",
       "      <td>0.525971</td>\n",
       "      <td>0.187429</td>\n",
       "      <td>0.625125</td>\n",
       "      <td>0.573944</td>\n",
       "      <td>0.898057</td>\n",
       "      <td>0.295871</td>\n",
       "      <td>0.455465</td>\n",
       "      <td>0.799077</td>\n",
       "      <td>0.824962</td>\n",
       "      <td>0.309985</td>\n",
       "      <td>0.284436</td>\n",
       "      <td>0.679448</td>\n",
       "      <td>0.677339</td>\n",
       "      <td>0.031058</td>\n",
       "      <td>0.342612</td>\n",
       "      <td>0.712220</td>\n",
       "      <td>0.800766</td>\n",
       "      <td>0.775104</td>\n",
       "      <td>0.766749</td>\n",
       "      <td>0.391896</td>\n",
       "      <td>0.954093</td>\n",
       "      <td>0.741952</td>\n",
       "      <td>0.735355</td>\n",
       "      <td>0.970587</td>\n",
       "      <td>0.673959</td>\n",
       "      <td>0.839634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>0.281104</td>\n",
       "      <td>0.208051</td>\n",
       "      <td>0.300065</td>\n",
       "      <td>0.559628</td>\n",
       "      <td>0.080885</td>\n",
       "      <td>0.489182</td>\n",
       "      <td>0.677172</td>\n",
       "      <td>0.078778</td>\n",
       "      <td>0.074930</td>\n",
       "      <td>0.610005</td>\n",
       "      <td>0.136230</td>\n",
       "      <td>0.293313</td>\n",
       "      <td>0.748696</td>\n",
       "      <td>0.483137</td>\n",
       "      <td>0.161082</td>\n",
       "      <td>0.733307</td>\n",
       "      <td>0.835505</td>\n",
       "      <td>0.110934</td>\n",
       "      <td>0.448179</td>\n",
       "      <td>0.367703</td>\n",
       "      <td>0.844146</td>\n",
       "      <td>0.490336</td>\n",
       "      <td>0.689666</td>\n",
       "      <td>0.900623</td>\n",
       "      <td>0.278627</td>\n",
       "      <td>0.491377</td>\n",
       "      <td>0.713210</td>\n",
       "      <td>0.246250</td>\n",
       "      <td>0.472259</td>\n",
       "      <td>0.313519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>0.202205</td>\n",
       "      <td>0.222882</td>\n",
       "      <td>0.836638</td>\n",
       "      <td>0.188745</td>\n",
       "      <td>0.526511</td>\n",
       "      <td>0.142976</td>\n",
       "      <td>0.932710</td>\n",
       "      <td>0.477066</td>\n",
       "      <td>0.559919</td>\n",
       "      <td>0.061231</td>\n",
       "      <td>0.276869</td>\n",
       "      <td>0.089255</td>\n",
       "      <td>0.749884</td>\n",
       "      <td>0.223453</td>\n",
       "      <td>0.330966</td>\n",
       "      <td>0.752482</td>\n",
       "      <td>0.111778</td>\n",
       "      <td>0.233322</td>\n",
       "      <td>0.225039</td>\n",
       "      <td>0.814970</td>\n",
       "      <td>0.669704</td>\n",
       "      <td>0.784607</td>\n",
       "      <td>0.980003</td>\n",
       "      <td>0.074185</td>\n",
       "      <td>0.503369</td>\n",
       "      <td>0.614454</td>\n",
       "      <td>0.129876</td>\n",
       "      <td>0.074444</td>\n",
       "      <td>0.035547</td>\n",
       "      <td>0.263580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>0.365328</td>\n",
       "      <td>0.067016</td>\n",
       "      <td>0.260479</td>\n",
       "      <td>0.833927</td>\n",
       "      <td>0.174271</td>\n",
       "      <td>0.328066</td>\n",
       "      <td>0.120953</td>\n",
       "      <td>0.986426</td>\n",
       "      <td>0.373958</td>\n",
       "      <td>0.954289</td>\n",
       "      <td>0.684058</td>\n",
       "      <td>0.496419</td>\n",
       "      <td>0.849028</td>\n",
       "      <td>0.033297</td>\n",
       "      <td>0.051117</td>\n",
       "      <td>0.394829</td>\n",
       "      <td>0.084870</td>\n",
       "      <td>0.705926</td>\n",
       "      <td>0.105378</td>\n",
       "      <td>0.424805</td>\n",
       "      <td>0.736945</td>\n",
       "      <td>0.384884</td>\n",
       "      <td>0.627406</td>\n",
       "      <td>0.101251</td>\n",
       "      <td>0.897678</td>\n",
       "      <td>0.566562</td>\n",
       "      <td>0.951890</td>\n",
       "      <td>0.490194</td>\n",
       "      <td>0.781995</td>\n",
       "      <td>0.407303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>0.099917</td>\n",
       "      <td>0.972960</td>\n",
       "      <td>0.248563</td>\n",
       "      <td>0.939709</td>\n",
       "      <td>0.278545</td>\n",
       "      <td>0.874784</td>\n",
       "      <td>0.623881</td>\n",
       "      <td>0.254895</td>\n",
       "      <td>0.699770</td>\n",
       "      <td>0.280449</td>\n",
       "      <td>0.799373</td>\n",
       "      <td>0.376013</td>\n",
       "      <td>0.668393</td>\n",
       "      <td>0.447490</td>\n",
       "      <td>0.209683</td>\n",
       "      <td>0.979850</td>\n",
       "      <td>0.571784</td>\n",
       "      <td>0.225737</td>\n",
       "      <td>0.029467</td>\n",
       "      <td>0.791515</td>\n",
       "      <td>0.952270</td>\n",
       "      <td>0.556615</td>\n",
       "      <td>0.639764</td>\n",
       "      <td>0.161342</td>\n",
       "      <td>0.669579</td>\n",
       "      <td>0.122120</td>\n",
       "      <td>0.385166</td>\n",
       "      <td>0.969815</td>\n",
       "      <td>0.061409</td>\n",
       "      <td>0.089618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>0.384575</td>\n",
       "      <td>0.808233</td>\n",
       "      <td>0.410293</td>\n",
       "      <td>0.546478</td>\n",
       "      <td>0.363510</td>\n",
       "      <td>0.550752</td>\n",
       "      <td>0.865433</td>\n",
       "      <td>0.263930</td>\n",
       "      <td>0.089405</td>\n",
       "      <td>0.020224</td>\n",
       "      <td>0.448728</td>\n",
       "      <td>0.379692</td>\n",
       "      <td>0.123062</td>\n",
       "      <td>0.843833</td>\n",
       "      <td>0.535687</td>\n",
       "      <td>0.553492</td>\n",
       "      <td>0.743439</td>\n",
       "      <td>0.897055</td>\n",
       "      <td>0.903819</td>\n",
       "      <td>0.460931</td>\n",
       "      <td>0.634256</td>\n",
       "      <td>0.488520</td>\n",
       "      <td>0.682969</td>\n",
       "      <td>0.964561</td>\n",
       "      <td>0.899604</td>\n",
       "      <td>0.378423</td>\n",
       "      <td>0.644292</td>\n",
       "      <td>0.677258</td>\n",
       "      <td>0.353208</td>\n",
       "      <td>0.098977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.972265</td>\n",
       "      <td>0.855608</td>\n",
       "      <td>0.431820</td>\n",
       "      <td>0.887729</td>\n",
       "      <td>0.095447</td>\n",
       "      <td>0.013635</td>\n",
       "      <td>0.005369</td>\n",
       "      <td>0.053794</td>\n",
       "      <td>0.947760</td>\n",
       "      <td>0.156041</td>\n",
       "      <td>0.533009</td>\n",
       "      <td>0.126280</td>\n",
       "      <td>0.846932</td>\n",
       "      <td>0.698638</td>\n",
       "      <td>0.208158</td>\n",
       "      <td>0.502204</td>\n",
       "      <td>0.804167</td>\n",
       "      <td>0.663162</td>\n",
       "      <td>0.272953</td>\n",
       "      <td>0.839197</td>\n",
       "      <td>0.914726</td>\n",
       "      <td>0.640468</td>\n",
       "      <td>0.527957</td>\n",
       "      <td>0.277913</td>\n",
       "      <td>0.429337</td>\n",
       "      <td>0.589427</td>\n",
       "      <td>0.609376</td>\n",
       "      <td>0.701999</td>\n",
       "      <td>0.274253</td>\n",
       "      <td>0.105528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>0.443013</td>\n",
       "      <td>0.070544</td>\n",
       "      <td>0.189925</td>\n",
       "      <td>0.031860</td>\n",
       "      <td>0.706069</td>\n",
       "      <td>0.678759</td>\n",
       "      <td>0.608366</td>\n",
       "      <td>0.090716</td>\n",
       "      <td>0.644679</td>\n",
       "      <td>0.498870</td>\n",
       "      <td>0.768818</td>\n",
       "      <td>0.385197</td>\n",
       "      <td>0.477038</td>\n",
       "      <td>0.331151</td>\n",
       "      <td>0.850054</td>\n",
       "      <td>0.689241</td>\n",
       "      <td>0.025337</td>\n",
       "      <td>0.080979</td>\n",
       "      <td>0.775769</td>\n",
       "      <td>0.041505</td>\n",
       "      <td>0.685892</td>\n",
       "      <td>0.890387</td>\n",
       "      <td>0.888898</td>\n",
       "      <td>0.443587</td>\n",
       "      <td>0.018628</td>\n",
       "      <td>0.549022</td>\n",
       "      <td>0.642324</td>\n",
       "      <td>0.479254</td>\n",
       "      <td>0.050797</td>\n",
       "      <td>0.228636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.077568</td>\n",
       "      <td>0.949501</td>\n",
       "      <td>0.485272</td>\n",
       "      <td>0.578740</td>\n",
       "      <td>0.499380</td>\n",
       "      <td>0.327019</td>\n",
       "      <td>0.343815</td>\n",
       "      <td>0.874237</td>\n",
       "      <td>0.294809</td>\n",
       "      <td>0.293207</td>\n",
       "      <td>0.972275</td>\n",
       "      <td>0.666216</td>\n",
       "      <td>0.361570</td>\n",
       "      <td>0.410536</td>\n",
       "      <td>0.710539</td>\n",
       "      <td>0.504775</td>\n",
       "      <td>0.434745</td>\n",
       "      <td>0.502746</td>\n",
       "      <td>0.228916</td>\n",
       "      <td>0.516033</td>\n",
       "      <td>0.765215</td>\n",
       "      <td>0.099779</td>\n",
       "      <td>0.944932</td>\n",
       "      <td>0.646978</td>\n",
       "      <td>0.565845</td>\n",
       "      <td>0.961522</td>\n",
       "      <td>0.042999</td>\n",
       "      <td>0.745851</td>\n",
       "      <td>0.070118</td>\n",
       "      <td>0.014579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.155376</td>\n",
       "      <td>0.957772</td>\n",
       "      <td>0.817545</td>\n",
       "      <td>0.087401</td>\n",
       "      <td>0.692598</td>\n",
       "      <td>0.468097</td>\n",
       "      <td>0.913008</td>\n",
       "      <td>0.567578</td>\n",
       "      <td>0.247393</td>\n",
       "      <td>0.620830</td>\n",
       "      <td>0.199235</td>\n",
       "      <td>0.989452</td>\n",
       "      <td>0.160533</td>\n",
       "      <td>0.269349</td>\n",
       "      <td>0.634714</td>\n",
       "      <td>0.709957</td>\n",
       "      <td>0.637265</td>\n",
       "      <td>0.871948</td>\n",
       "      <td>0.866360</td>\n",
       "      <td>0.175904</td>\n",
       "      <td>0.392456</td>\n",
       "      <td>0.260810</td>\n",
       "      <td>0.912724</td>\n",
       "      <td>0.179538</td>\n",
       "      <td>0.363543</td>\n",
       "      <td>0.810410</td>\n",
       "      <td>0.292306</td>\n",
       "      <td>0.195655</td>\n",
       "      <td>0.623025</td>\n",
       "      <td>0.853659</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4         5         6   \\\n",
       "0   0.901742  0.868402  0.626751  0.805517  0.702326  0.635825  0.081778   \n",
       "1   0.491426  0.584446  0.525093  0.719466  0.765294  0.368640  0.439217   \n",
       "2   0.798883  0.821652  0.390241  0.376169  0.809637  0.485191  0.535743   \n",
       "3   0.374281  0.025460  0.466751  0.811396  0.470298  0.685114  0.795139   \n",
       "4   0.260491  0.177377  0.962863  0.133829  0.716351  0.557946  0.907913   \n",
       "5   0.823392  0.542735  0.647765  0.811117  0.824598  0.812442  0.790274   \n",
       "6   0.174582  0.814848  0.607036  0.418719  0.907148  0.089590  0.571128   \n",
       "7   0.546791  0.707528  0.979713  0.107482  0.593430  0.528918  0.590753   \n",
       "8   0.152891  0.870828  0.052070  0.943543  0.203708  0.019166  0.716120   \n",
       "9   0.622080  0.270636  0.906498  0.023314  0.676899  0.611577  0.568219   \n",
       "10  0.846489  0.269708  0.970902  0.671915  0.992466  0.250554  0.607763   \n",
       "11  0.069933  0.128561  0.787535  0.365745  0.779097  0.920280  0.246573   \n",
       "12  0.062334  0.923280  0.003589  0.478470  0.528231  0.195763  0.226064   \n",
       "13  0.443019  0.289886  0.788840  0.701972  0.952204  0.328908  0.009426   \n",
       "14  0.808068  0.018873  0.154060  0.193737  0.091614  0.032728  0.808892   \n",
       "15  0.503116  0.277635  0.065355  0.563814  0.189082  0.420835  0.522877   \n",
       "16  0.743084  0.379264  0.584380  0.737356  0.460058  0.863427  0.487050   \n",
       "17  0.057854  0.474164  0.382057  0.987858  0.870524  0.486325  0.039846   \n",
       "18  0.431281  0.863277  0.537359  0.031353  0.645197  0.595668  0.209443   \n",
       "19  0.944137  0.484956  0.694314  0.596388  0.496805  0.066082  0.347798   \n",
       "20  0.368692  0.846403  0.106816  0.074808  0.419144  0.921883  0.734816   \n",
       "21  0.214098  0.087049  0.851842  0.253189  0.380128  0.845002  0.330860   \n",
       "22  0.020078  0.568570  0.067835  0.575939  0.421478  0.946298  0.949849   \n",
       "23  0.601433  0.284835  0.667852  0.149745  0.001736  0.246749  0.994182   \n",
       "24  0.467258  0.709365  0.123957  0.945570  0.834850  0.975976  0.647120   \n",
       "25  0.715992  0.508447  0.486200  0.517512  0.322349  0.150000  0.595325   \n",
       "26  0.962200  0.523942  0.083645  0.901434  0.306039  0.596029  0.737512   \n",
       "27  0.568461  0.443897  0.211743  0.459422  0.358308  0.643205  0.647745   \n",
       "28  0.935524  0.204926  0.295505  0.753311  0.285446  0.020390  0.179562   \n",
       "29  0.717175  0.026909  0.229667  0.772001  0.186979  0.430898  0.122885   \n",
       "30  0.599074  0.581976  0.565395  0.940781  0.056225  0.932920  0.241515   \n",
       "31  0.837664  0.813386  0.141612  0.759889  0.926093  0.974489  0.143851   \n",
       "32  0.554758  0.419451  0.543710  0.544109  0.658208  0.330085  0.013048   \n",
       "33  0.328671  0.616572  0.202418  0.751640  0.135147  0.828703  0.247479   \n",
       "34  0.430054  0.682827  0.306024  0.287219  0.254885  0.535979  0.290770   \n",
       "35  0.068935  0.953351  0.100823  0.103434  0.625374  0.571393  0.682740   \n",
       "36  0.959074  0.897419  0.761285  0.992035  0.692415  0.266561  0.040356   \n",
       "37  0.597130  0.624148  0.558344  0.747776  0.065016  0.310713  0.534334   \n",
       "38  0.517367  0.962952  0.162887  0.259869  0.163447  0.241599  0.214475   \n",
       "39  0.624232  0.424716  0.494462  0.600225  0.159855  0.220448  0.266620   \n",
       "40  0.243242  0.372209  0.113441  0.693134  0.920667  0.978526  0.956137   \n",
       "41  0.586945  0.213374  0.952542  0.655127  0.059051  0.444055  0.900916   \n",
       "42  0.420571  0.140119  0.119936  0.739582  0.997331  0.103235  0.337897   \n",
       "43  0.509166  0.698070  0.315861  0.805002  0.575027  0.751401  0.338767   \n",
       "44  0.282974  0.774160  0.498251  0.570695  0.714948  0.142679  0.583410   \n",
       "45  0.705720  0.961751  0.380580  0.854292  0.016862  0.221851  0.043705   \n",
       "46  0.340938  0.914339  0.084733  0.053865  0.410685  0.010644  0.008610   \n",
       "47  0.046532  0.514511  0.990109  0.494894  0.162298  0.500364  0.542282   \n",
       "48  0.989376  0.123802  0.480965  0.063789  0.029674  0.028277  0.042733   \n",
       "49  0.156010  0.459878  0.150516  0.383026  0.521009  0.624012  0.600592   \n",
       "50  0.293543  0.271126  0.657192  0.500418  0.870455  0.015288  0.101134   \n",
       "51  0.903622  0.162809  0.403062  0.872035  0.191751  0.365048  0.760181   \n",
       "52  0.981455  0.422150  0.592627  0.164521  0.946519  0.901641  0.570865   \n",
       "53  0.953575  0.922337  0.884806  0.299552  0.679289  0.711889  0.440971   \n",
       "54  0.258229  0.073306  0.951804  0.885290  0.788127  0.719723  0.399676   \n",
       "55  0.549358  0.710228  0.178180  0.152340  0.528744  0.198425  0.938740   \n",
       "56  0.621805  0.524272  0.235312  0.526435  0.657705  0.229933  0.235847   \n",
       "57  0.459047  0.150274  0.122675  0.676454  0.190762  0.983444  0.858931   \n",
       "58  0.903882  0.576907  0.344177  0.604432  0.490661  0.766432  0.413066   \n",
       "59  0.561893  0.597008  0.255584  0.322507  0.879646  0.708222  0.311214   \n",
       "60  0.888263  0.005625  0.089216  0.113007  0.220397  0.810721  0.152707   \n",
       "61  0.110096  0.251765  0.793428  0.430833  0.861921  0.663657  0.401012   \n",
       "62  0.373095  0.674368  0.006626  0.531828  0.103363  0.224212  0.448203   \n",
       "63  0.442777  0.000470  0.349322  0.847618  0.216712  0.393309  0.658365   \n",
       "64  0.530668  0.376467  0.338522  0.351587  0.392377  0.291380  0.241266   \n",
       "65  0.168931  0.914029  0.309646  0.326802  0.068219  0.379085  0.049438   \n",
       "66  0.969493  0.084686  0.826482  0.108448  0.569722  0.617112  0.646065   \n",
       "67  0.341085  0.556542  0.229091  0.524727  0.367717  0.749818  0.047264   \n",
       "68  0.028708  0.463375  0.149176  0.202438  0.763428  0.562348  0.557011   \n",
       "69  0.783115  0.800046  0.883843  0.883993  0.228633  0.823703  0.717880   \n",
       "70  0.973698  0.726040  0.639923  0.316196  0.494202  0.536626  0.408289   \n",
       "71  0.782099  0.685117  0.025872  0.334492  0.373683  0.477641  0.568215   \n",
       "72  0.332245  0.609512  0.707263  0.815713  0.793509  0.721522  0.923366   \n",
       "73  0.400545  0.762777  0.738563  0.737075  0.336047  0.932191  0.801716   \n",
       "74  0.088581  0.170916  0.008525  0.202978  0.271690  0.594154  0.780043   \n",
       "75  0.217685  0.332907  0.253683  0.167637  0.712248  0.334669  0.669454   \n",
       "76  0.953669  0.936532  0.519399  0.407463  0.124661  0.032237  0.057315   \n",
       "77  0.337216  0.119393  0.140407  0.358066  0.403849  0.153271  0.030057   \n",
       "78  0.867706  0.960807  0.292504  0.782552  0.923039  0.448507  0.367906   \n",
       "79  0.464712  0.638916  0.596911  0.400870  0.389924  0.455020  0.707760   \n",
       "80  0.640694  0.652765  0.172012  0.238701  0.435301  0.632372  0.835614   \n",
       "81  0.542074  0.470207  0.361913  0.498920  0.595839  0.560050  0.184479   \n",
       "82  0.446899  0.956943  0.421512  0.671973  0.493486  0.706159  0.811837   \n",
       "83  0.046757  0.093515  0.978705  0.073193  0.087144  0.628222  0.237686   \n",
       "84  0.192386  0.232344  0.390192  0.828145  0.793634  0.749096  0.810883   \n",
       "85  0.146629  0.975754  0.197536  0.408597  0.193925  0.309173  0.331368   \n",
       "86  0.973764  0.768562  0.214984  0.891570  0.052226  0.568626  0.203127   \n",
       "87  0.935958  0.112951  0.503738  0.030938  0.020705  0.219586  0.697179   \n",
       "88  0.503141  0.291031  0.299887  0.088615  0.826193  0.694264  0.048398   \n",
       "89  0.517243  0.151222  0.625420  0.026652  0.179042  0.866507  0.305781   \n",
       "90  0.246551  0.410989  0.182548  0.710385  0.525971  0.187429  0.625125   \n",
       "91  0.281104  0.208051  0.300065  0.559628  0.080885  0.489182  0.677172   \n",
       "92  0.202205  0.222882  0.836638  0.188745  0.526511  0.142976  0.932710   \n",
       "93  0.365328  0.067016  0.260479  0.833927  0.174271  0.328066  0.120953   \n",
       "94  0.099917  0.972960  0.248563  0.939709  0.278545  0.874784  0.623881   \n",
       "95  0.384575  0.808233  0.410293  0.546478  0.363510  0.550752  0.865433   \n",
       "96  0.972265  0.855608  0.431820  0.887729  0.095447  0.013635  0.005369   \n",
       "97  0.443013  0.070544  0.189925  0.031860  0.706069  0.678759  0.608366   \n",
       "98  0.077568  0.949501  0.485272  0.578740  0.499380  0.327019  0.343815   \n",
       "99  0.155376  0.957772  0.817545  0.087401  0.692598  0.468097  0.913008   \n",
       "\n",
       "          7         8         9         10        11        12        13  \\\n",
       "0   0.370203  0.119913  0.797300  0.813393  0.217597  0.075991  0.641011   \n",
       "1   0.130738  0.202588  0.948425  0.567772  0.198878  0.924895  0.789798   \n",
       "2   0.961506  0.333799  0.040235  0.590649  0.948139  0.197314  0.429642   \n",
       "3   0.375138  0.708736  0.113676  0.043767  0.769843  0.971443  0.960800   \n",
       "4   0.872178  0.256827  0.723024  0.441635  0.960745  0.703610  0.900218   \n",
       "5   0.605702  0.257909  0.993247  0.568817  0.683365  0.086623  0.748251   \n",
       "6   0.903398  0.922132  0.058366  0.290822  0.726943  0.465682  0.629000   \n",
       "7   0.198078  0.626747  0.262134  0.955515  0.983084  0.069840  0.654970   \n",
       "8   0.539609  0.108131  0.339062  0.625137  0.645738  0.468916  0.060478   \n",
       "9   0.305085  0.816239  0.934662  0.216122  0.823190  0.611720  0.653541   \n",
       "10  0.724424  0.315379  0.634437  0.915385  0.469705  0.280737  0.052987   \n",
       "11  0.235344  0.660998  0.514938  0.973601  0.131641  0.372902  0.242042   \n",
       "12  0.268828  0.316619  0.269507  0.763287  0.632114  0.750555  0.299116   \n",
       "13  0.678261  0.631814  0.304550  0.515021  0.081605  0.293476  0.086111   \n",
       "14  0.336193  0.573263  0.538365  0.594855  0.433657  0.334472  0.057797   \n",
       "15  0.858607  0.555633  0.680493  0.233000  0.518150  0.328573  0.489802   \n",
       "16  0.693626  0.111514  0.001077  0.605950  0.866133  0.924439  0.016670   \n",
       "17  0.653020  0.573196  0.912633  0.559741  0.047761  0.270766  0.625991   \n",
       "18  0.709357  0.497487  0.349076  0.281547  0.989705  0.284879  0.674823   \n",
       "19  0.128290  0.900064  0.889617  0.928961  0.314974  0.187434  0.349362   \n",
       "20  0.678468  0.161162  0.781723  0.197679  0.366691  0.696398  0.595407   \n",
       "21  0.283467  0.664088  0.103456  0.398925  0.498581  0.673513  0.992755   \n",
       "22  0.379918  0.503542  0.829583  0.030764  0.795298  0.213898  0.200304   \n",
       "23  0.574476  0.958963  0.282599  0.119573  0.394154  0.475698  0.096617   \n",
       "24  0.279584  0.534938  0.640714  0.863160  0.414332  0.914883  0.905426   \n",
       "25  0.466549  0.681784  0.510865  0.341896  0.642011  0.194003  0.176136   \n",
       "26  0.213862  0.160708  0.771491  0.403530  0.728881  0.885451  0.334911   \n",
       "27  0.245107  0.089982  0.924144  0.352291  0.400914  0.601927  0.475980   \n",
       "28  0.049065  0.507503  0.091044  0.333323  0.675467  0.102059  0.041811   \n",
       "29  0.772687  0.540777  0.708760  0.661636  0.593298  0.212051  0.423400   \n",
       "30  0.588169  0.346667  0.610860  0.801080  0.952361  0.502563  0.928013   \n",
       "31  0.584297  0.545308  0.345272  0.135385  0.382212  0.352726  0.100584   \n",
       "32  0.644429  0.923094  0.077120  0.918075  0.973780  0.365385  0.428036   \n",
       "33  0.963246  0.027938  0.910738  0.425265  0.953610  0.737054  0.162719   \n",
       "34  0.572601  0.195610  0.007694  0.692215  0.054614  0.248207  0.875781   \n",
       "35  0.351674  0.198406  0.091559  0.261832  0.690165  0.056777  0.738249   \n",
       "36  0.807738  0.572842  0.879641  0.544679  0.513676  0.956565  0.397484   \n",
       "37  0.189690  0.019022  0.918994  0.233356  0.840770  0.820874  0.359727   \n",
       "38  0.783970  0.485379  0.057690  0.711698  0.512955  0.303263  0.341097   \n",
       "39  0.711248  0.551588  0.555332  0.389574  0.035762  0.748139  0.111814   \n",
       "40  0.073748  0.947695  0.054574  0.683155  0.166160  0.695241  0.642180   \n",
       "41  0.255090  0.607603  0.718444  0.176303  0.759999  0.065631  0.986448   \n",
       "42  0.928101  0.207018  0.595981  0.364307  0.820500  0.175522  0.466659   \n",
       "43  0.394329  0.130693  0.808118  0.036354  0.214976  0.762949  0.170085   \n",
       "44  0.613272  0.271541  0.996745  0.301616  0.913021  0.296811  0.139409   \n",
       "45  0.766565  0.121875  0.183591  0.492443  0.245181  0.695867  0.412479   \n",
       "46  0.304427  0.990845  0.323871  0.045816  0.280553  0.811784  0.920272   \n",
       "47  0.360552  0.536921  0.003268  0.418236  0.236739  0.189870  0.797396   \n",
       "48  0.626647  0.835509  0.579123  0.860774  0.576712  0.595198  0.686706   \n",
       "49  0.207030  0.422199  0.201312  0.093853  0.189420  0.747356  0.484339   \n",
       "50  0.486161  0.690941  0.754261  0.360024  0.133827  0.217685  0.890911   \n",
       "51  0.005005  0.234919  0.023112  0.644316  0.234862  0.636849  0.570068   \n",
       "52  0.336033  0.666465  0.203108  0.836698  0.618370  0.311864  0.658274   \n",
       "53  0.073767  0.381541  0.685877  0.389958  0.786228  0.037824  0.399811   \n",
       "54  0.687057  0.699859  0.176459  0.296652  0.573588  0.557119  0.018452   \n",
       "55  0.160028  0.150605  0.071756  0.055665  0.519298  0.864991  0.957702   \n",
       "56  0.282753  0.834884  0.122854  0.848491  0.741738  0.494087  0.306413   \n",
       "57  0.374379  0.785685  0.895374  0.422959  0.944429  0.817486  0.365144   \n",
       "58  0.127637  0.457778  0.898217  0.198500  0.101609  0.755922  0.126097   \n",
       "59  0.054658  0.306404  0.352801  0.207221  0.131020  0.894150  0.736893   \n",
       "60  0.338453  0.377245  0.089314  0.840349  0.418788  0.287238  0.356639   \n",
       "61  0.057624  0.617171  0.585709  0.952863  0.089109  0.396258  0.514058   \n",
       "62  0.691698  0.372925  0.262914  0.024516  0.122373  0.311720  0.382394   \n",
       "63  0.232768  0.788810  0.511310  0.295138  0.542790  0.636588  0.779574   \n",
       "64  0.430250  0.804930  0.326878  0.867327  0.496549  0.543669  0.930088   \n",
       "65  0.594426  0.162537  0.163292  0.396039  0.313997  0.151314  0.231237   \n",
       "66  0.161539  0.730931  0.940965  0.950832  0.538184  0.872905  0.207183   \n",
       "67  0.952503  0.244925  0.748086  0.975804  0.242086  0.415957  0.271573   \n",
       "68  0.840089  0.418843  0.050686  0.908020  0.904373  0.764753  0.996586   \n",
       "69  0.897609  0.404378  0.021706  0.618371  0.906555  0.406228  0.399742   \n",
       "70  0.227556  0.454884  0.737726  0.518611  0.341362  0.055167  0.162260   \n",
       "71  0.779146  0.071995  0.785226  0.712795  0.380059  0.100539  0.806584   \n",
       "72  0.041724  0.165307  0.691348  0.316237  0.799991  0.955482  0.325381   \n",
       "73  0.287510  0.552654  0.702003  0.538719  0.964124  0.193855  0.286752   \n",
       "74  0.810323  0.807003  0.638173  0.946288  0.330072  0.687379  0.245010   \n",
       "75  0.566433  0.551753  0.949788  0.199111  0.186971  0.925138  0.429849   \n",
       "76  0.324400  0.918338  0.078754  0.870815  0.038274  0.458141  0.490392   \n",
       "77  0.693285  0.950651  0.297738  0.459632  0.627602  0.563293  0.052328   \n",
       "78  0.668406  0.213995  0.596635  0.711361  0.473227  0.624156  0.164661   \n",
       "79  0.285201  0.285224  0.786104  0.561744  0.714790  0.159662  0.783853   \n",
       "80  0.340019  0.624258  0.596465  0.618562  0.715032  0.009530  0.329951   \n",
       "81  0.104579  0.068542  0.012931  0.875295  0.687544  0.616432  0.750181   \n",
       "82  0.988642  0.653512  0.658120  0.012855  0.744878  0.350415  0.984497   \n",
       "83  0.202346  0.455385  0.453386  0.558833  0.899820  0.129453  0.230235   \n",
       "84  0.700307  0.307748  0.483095  0.057844  0.016603  0.318474  0.959070   \n",
       "85  0.296980  0.382561  0.957489  0.254395  0.250440  0.426225  0.106639   \n",
       "86  0.906710  0.827621  0.994204  0.969008  0.418948  0.342615  0.251654   \n",
       "87  0.523962  0.738986  0.306575  0.208350  0.518736  0.252732  0.317812   \n",
       "88  0.205266  0.579757  0.298720  0.176049  0.370353  0.885604  0.455893   \n",
       "89  0.379515  0.752613  0.880888  0.728655  0.198675  0.563817  0.331599   \n",
       "90  0.573944  0.898057  0.295871  0.455465  0.799077  0.824962  0.309985   \n",
       "91  0.078778  0.074930  0.610005  0.136230  0.293313  0.748696  0.483137   \n",
       "92  0.477066  0.559919  0.061231  0.276869  0.089255  0.749884  0.223453   \n",
       "93  0.986426  0.373958  0.954289  0.684058  0.496419  0.849028  0.033297   \n",
       "94  0.254895  0.699770  0.280449  0.799373  0.376013  0.668393  0.447490   \n",
       "95  0.263930  0.089405  0.020224  0.448728  0.379692  0.123062  0.843833   \n",
       "96  0.053794  0.947760  0.156041  0.533009  0.126280  0.846932  0.698638   \n",
       "97  0.090716  0.644679  0.498870  0.768818  0.385197  0.477038  0.331151   \n",
       "98  0.874237  0.294809  0.293207  0.972275  0.666216  0.361570  0.410536   \n",
       "99  0.567578  0.247393  0.620830  0.199235  0.989452  0.160533  0.269349   \n",
       "\n",
       "          14        15        16        17        18        19        20  \\\n",
       "0   0.152553  0.398929  0.412747  0.495972  0.426923  0.057331  0.907335   \n",
       "1   0.067976  0.226943  0.250648  0.110083  0.086327  0.985833  0.469663   \n",
       "2   0.052509  0.685962  0.018500  0.424301  0.038459  0.436108  0.597363   \n",
       "3   0.183116  0.550305  0.300616  0.936178  0.384496  0.670216  0.916064   \n",
       "4   0.129143  0.691840  0.529385  0.225385  0.314935  0.663522  0.416517   \n",
       "5   0.145187  0.956925  0.709713  0.978972  0.391186  0.778853  0.644358   \n",
       "6   0.333665  0.270113  0.515332  0.977382  0.611564  0.913686  0.296590   \n",
       "7   0.257981  0.936330  0.294464  0.037339  0.527534  0.702398  0.119693   \n",
       "8   0.562937  0.133318  0.167932  0.508497  0.180976  0.754520  0.761375   \n",
       "9   0.423822  0.887000  0.039315  0.677546  0.431833  0.409528  0.884798   \n",
       "10  0.457430  0.169607  0.321497  0.652358  0.300634  0.903797  0.515073   \n",
       "11  0.620540  0.347847  0.079931  0.212704  0.538853  0.432121  0.069997   \n",
       "12  0.748178  0.319981  0.581872  0.239044  0.094453  0.584066  0.210230   \n",
       "13  0.211582  0.804969  0.404649  0.643264  0.916444  0.228347  0.446108   \n",
       "14  0.948607  0.967295  0.151642  0.350897  0.951102  0.960497  0.080081   \n",
       "15  0.726806  0.005590  0.737815  0.591044  0.276552  0.876043  0.899343   \n",
       "16  0.038890  0.330194  0.905049  0.053323  0.379276  0.477070  0.885285   \n",
       "17  0.764665  0.988811  0.870873  0.817841  0.266430  0.901922  0.272297   \n",
       "18  0.661377  0.626745  0.342837  0.174544  0.699321  0.737172  0.531518   \n",
       "19  0.625388  0.224359  0.828881  0.365829  0.371148  0.535126  0.696872   \n",
       "20  0.228014  0.659368  0.070010  0.199005  0.495725  0.475817  0.752258   \n",
       "21  0.897678  0.076425  0.277140  0.804702  0.623825  0.325423  0.003088   \n",
       "22  0.351145  0.900516  0.189523  0.664209  0.129083  0.935204  0.947282   \n",
       "23  0.750427  0.314251  0.918600  0.244872  0.887766  0.844412  0.496408   \n",
       "24  0.669827  0.740110  0.046268  0.257567  0.412065  0.971992  0.059296   \n",
       "25  0.678555  0.895494  0.693578  0.269054  0.002012  0.768728  0.678023   \n",
       "26  0.957275  0.406542  0.104049  0.846459  0.121404  0.678292  0.253461   \n",
       "27  0.583649  0.538165  0.693437  0.562741  0.957271  0.017563  0.509851   \n",
       "28  0.391393  0.194722  0.513964  0.454184  0.607115  0.154261  0.421348   \n",
       "29  0.836189  0.208818  0.123221  0.589420  0.740686  0.388635  0.771973   \n",
       "30  0.235149  0.909307  0.110822  0.191069  0.648090  0.193660  0.614083   \n",
       "31  0.411745  0.321778  0.841084  0.177530  0.566323  0.690729  0.690565   \n",
       "32  0.876110  0.446492  0.452866  0.604891  0.379622  0.881405  0.106689   \n",
       "33  0.109166  0.203975  0.491198  0.494556  0.294155  0.093356  0.886009   \n",
       "34  0.662057  0.570455  0.914122  0.748697  0.371530  0.799924  0.136684   \n",
       "35  0.860423  0.637600  0.814031  0.377364  0.090392  0.924764  0.255793   \n",
       "36  0.592211  0.570091  0.420031  0.044040  0.511031  0.357037  0.251677   \n",
       "37  0.204347  0.354155  0.910890  0.107344  0.078744  0.390031  0.862202   \n",
       "38  0.651795  0.079569  0.529197  0.683429  0.826175  0.238200  0.808394   \n",
       "39  0.286402  0.282645  0.042980  0.109347  0.863596  0.746091  0.205647   \n",
       "40  0.618130  0.306592  0.098641  0.648512  0.418518  0.220290  0.464926   \n",
       "41  0.928723  0.325276  0.039831  0.452483  0.270144  0.142076  0.691465   \n",
       "42  0.137356  0.853624  0.075736  0.647529  0.223741  0.683086  0.627155   \n",
       "43  0.017075  0.859210  0.130977  0.701242  0.586054  0.946480  0.734424   \n",
       "44  0.593337  0.284343  0.488794  0.453034  0.561590  0.488589  0.526806   \n",
       "45  0.763473  0.364036  0.933494  0.988541  0.852133  0.781288  0.072685   \n",
       "46  0.261799  0.676882  0.180754  0.940633  0.436200  0.389245  0.484100   \n",
       "47  0.830240  0.768234  0.333011  0.708766  0.305381  0.089423  0.308147   \n",
       "48  0.766777  0.677700  0.602408  0.539586  0.371917  0.107216  0.483100   \n",
       "49  0.086878  0.207687  0.752801  0.360902  0.983270  0.095683  0.214867   \n",
       "50  0.805264  0.761686  0.482925  0.873497  0.790204  0.691919  0.113317   \n",
       "51  0.533310  0.638862  0.982652  0.370607  0.904483  0.732998  0.423471   \n",
       "52  0.270383  0.227260  0.739582  0.009175  0.285989  0.521315  0.759934   \n",
       "53  0.662579  0.424186  0.303661  0.254112  0.583194  0.846797  0.531135   \n",
       "54  0.185157  0.349415  0.163049  0.317488  0.366420  0.560923  0.721519   \n",
       "55  0.382958  0.599153  0.451381  0.784357  0.623244  0.135769  0.289674   \n",
       "56  0.894412  0.190550  0.910316  0.311451  0.824721  0.504628  0.369316   \n",
       "57  0.712443  0.580169  0.582657  0.023031  0.974471  0.886274  0.896820   \n",
       "58  0.594624  0.449357  0.652551  0.487731  0.739320  0.751277  0.668256   \n",
       "59  0.036322  0.829056  0.001874  0.766904  0.107745  0.181201  0.209287   \n",
       "60  0.732129  0.021448  0.574784  0.121079  0.446276  0.849435  0.041734   \n",
       "61  0.024191  0.328654  0.717438  0.022365  0.142573  0.205886  0.647488   \n",
       "62  0.409725  0.729299  0.268347  0.229804  0.150551  0.426595  0.240304   \n",
       "63  0.959593  0.778705  0.365191  0.398598  0.250133  0.669720  0.068832   \n",
       "64  0.194347  0.209162  0.603991  0.073787  0.435740  0.968915  0.047523   \n",
       "65  0.834722  0.939717  0.469184  0.578252  0.123564  0.656203  0.212590   \n",
       "66  0.586554  0.185640  0.461027  0.602014  0.724557  0.886336  0.099279   \n",
       "67  0.316028  0.614613  0.303237  0.163130  0.196834  0.906492  0.262982   \n",
       "68  0.182455  0.033250  0.859588  0.085220  0.675355  0.925079  0.549517   \n",
       "69  0.042835  0.912831  0.395944  0.271927  0.628504  0.174363  0.798152   \n",
       "70  0.971913  0.742634  0.569280  0.963495  0.526262  0.463755  0.176424   \n",
       "71  0.856195  0.190467  0.524509  0.923388  0.885587  0.142400  0.068274   \n",
       "72  0.224191  0.224140  0.039197  0.796239  0.691752  0.270912  0.223103   \n",
       "73  0.956875  0.172407  0.469483  0.587602  0.216050  0.197944  0.753592   \n",
       "74  0.652627  0.583266  0.926175  0.699227  0.390555  0.707715  0.197371   \n",
       "75  0.100118  0.245210  0.005838  0.328856  0.472778  0.702947  0.784864   \n",
       "76  0.061840  0.601993  0.581063  0.678933  0.394721  0.203167  0.703948   \n",
       "77  0.717753  0.526154  0.658606  0.066890  0.042696  0.201334  0.641133   \n",
       "78  0.355097  0.635242  0.469168  0.312519  0.792453  0.711826  0.825279   \n",
       "79  0.728461  0.403996  0.030646  0.388762  0.716370  0.089414  0.191447   \n",
       "80  0.113655  0.253422  0.819658  0.760127  0.049612  0.748235  0.276491   \n",
       "81  0.841943  0.982929  0.770140  0.048483  0.005412  0.017292  0.391493   \n",
       "82  0.553889  0.072274  0.230562  0.985526  0.341784  0.341256  0.926718   \n",
       "83  0.912613  0.725789  0.191705  0.521836  0.169267  0.234400  0.697058   \n",
       "84  0.769295  0.794240  0.365978  0.875939  0.688364  0.340601  0.749707   \n",
       "85  0.094297  0.579362  0.300533  0.416860  0.526611  0.493474  0.446917   \n",
       "86  0.266212  0.682123  0.546489  0.005642  0.380782  0.024447  0.710405   \n",
       "87  0.372713  0.995537  0.917949  0.928822  0.622103  0.868068  0.078160   \n",
       "88  0.692277  0.977451  0.977567  0.323352  0.270029  0.999281  0.202091   \n",
       "89  0.793669  0.274265  0.664210  0.418347  0.784137  0.472254  0.837649   \n",
       "90  0.284436  0.679448  0.677339  0.031058  0.342612  0.712220  0.800766   \n",
       "91  0.161082  0.733307  0.835505  0.110934  0.448179  0.367703  0.844146   \n",
       "92  0.330966  0.752482  0.111778  0.233322  0.225039  0.814970  0.669704   \n",
       "93  0.051117  0.394829  0.084870  0.705926  0.105378  0.424805  0.736945   \n",
       "94  0.209683  0.979850  0.571784  0.225737  0.029467  0.791515  0.952270   \n",
       "95  0.535687  0.553492  0.743439  0.897055  0.903819  0.460931  0.634256   \n",
       "96  0.208158  0.502204  0.804167  0.663162  0.272953  0.839197  0.914726   \n",
       "97  0.850054  0.689241  0.025337  0.080979  0.775769  0.041505  0.685892   \n",
       "98  0.710539  0.504775  0.434745  0.502746  0.228916  0.516033  0.765215   \n",
       "99  0.634714  0.709957  0.637265  0.871948  0.866360  0.175904  0.392456   \n",
       "\n",
       "          21        22        23        24        25        26        27  \\\n",
       "0   0.242210  0.860111  0.764627  0.243772  0.744785  0.944923  0.991802   \n",
       "1   0.990004  0.864332  0.768623  0.451735  0.677281  0.016003  0.733019   \n",
       "2   0.163290  0.551183  0.110727  0.180119  0.188264  0.309836  0.129119   \n",
       "3   0.663030  0.230242  0.624192  0.407815  0.740665  0.504651  0.021896   \n",
       "4   0.845554  0.001661  0.000941  0.205084  0.327311  0.065750  0.462068   \n",
       "5   0.615774  0.038427  0.241094  0.911206  0.918750  0.052265  0.402419   \n",
       "6   0.209712  0.834807  0.673749  0.387952  0.185758  0.149772  0.865447   \n",
       "7   0.466901  0.070817  0.526581  0.108649  0.444628  0.918643  0.218161   \n",
       "8   0.060383  0.781094  0.384702  0.367787  0.543003  0.618757  0.459120   \n",
       "9   0.728613  0.370678  0.977302  0.581606  0.125268  0.196706  0.388035   \n",
       "10  0.028171  0.425426  0.603490  0.716513  0.123498  0.222629  0.910237   \n",
       "11  0.866002  0.541957  0.327762  0.050988  0.585496  0.310973  0.004999   \n",
       "12  0.043657  0.724076  0.428575  0.180019  0.877576  0.083257  0.458346   \n",
       "13  0.381073  0.761629  0.722589  0.741040  0.835229  0.258541  0.287785   \n",
       "14  0.098757  0.185077  0.511918  0.237707  0.142528  0.891438  0.806999   \n",
       "15  0.489191  0.008964  0.488479  0.807909  0.878133  0.257454  0.574865   \n",
       "16  0.294306  0.728870  0.036288  0.117258  0.162836  0.096697  0.697209   \n",
       "17  0.342966  0.630057  0.116416  0.927370  0.891600  0.123707  0.087093   \n",
       "18  0.309345  0.382286  0.259682  0.162219  0.137275  0.122808  0.194412   \n",
       "19  0.307474  0.360111  0.777404  0.527858  0.658311  0.874442  0.317369   \n",
       "20  0.113858  0.779835  0.790192  0.248075  0.967884  0.393130  0.473883   \n",
       "21  0.473770  0.380403  0.539762  0.264476  0.650952  0.718906  0.097410   \n",
       "22  0.891038  0.770340  0.179773  0.104121  0.741933  0.025690  0.477218   \n",
       "23  0.576494  0.445171  0.758714  0.944654  0.532030  0.137241  0.087748   \n",
       "24  0.474689  0.667531  0.616685  0.424421  0.184510  0.404427  0.126029   \n",
       "25  0.463972  0.534715  0.720319  0.918027  0.405074  0.052709  0.751659   \n",
       "26  0.751406  0.164445  0.470135  0.754815  0.811779  0.244966  0.035292   \n",
       "27  0.971199  0.313072  0.870392  0.409245  0.166389  0.470059  0.333368   \n",
       "28  0.916496  0.613131  0.600833  0.029396  0.149743  0.751259  0.351360   \n",
       "29  0.001448  0.759421  0.889395  0.714099  0.609490  0.195200  0.239485   \n",
       "30  0.692971  0.239337  0.502809  0.906174  0.844201  0.501841  0.109495   \n",
       "31  0.988513  0.948981  0.681599  0.664379  0.409103  0.494528  0.319356   \n",
       "32  0.897957  0.335940  0.456464  0.773685  0.863320  0.278794  0.621384   \n",
       "33  0.613690  0.382977  0.804052  0.913710  0.316802  0.817641  0.047581   \n",
       "34  0.384212  0.987660  0.260141  0.253554  0.134256  0.403624  0.772729   \n",
       "35  0.789511  0.296198  0.330190  0.921916  0.137425  0.097964  0.976958   \n",
       "36  0.566612  0.226526  0.658419  0.423045  0.871050  0.094107  0.101532   \n",
       "37  0.934260  0.686790  0.557980  0.427497  0.015030  0.389670  0.807917   \n",
       "38  0.530980  0.513132  0.337517  0.510115  0.309539  0.031413  0.248283   \n",
       "39  0.365282  0.082429  0.274524  0.661511  0.193382  0.771945  0.005463   \n",
       "40  0.048291  0.408438  0.145209  0.583449  0.916306  0.906106  0.275851   \n",
       "41  0.900770  0.312392  0.866208  0.485988  0.957880  0.074566  0.535153   \n",
       "42  0.920480  0.390963  0.918174  0.957856  0.957133  0.549880  0.165199   \n",
       "43  0.087070  0.916793  0.603983  0.806833  0.866316  0.550282  0.791297   \n",
       "44  0.356344  0.633075  0.376531  0.104057  0.547391  0.681421  0.600035   \n",
       "45  0.356654  0.571731  0.685233  0.282982  0.520551  0.612957  0.234516   \n",
       "46  0.373068  0.034519  0.635554  0.222746  0.628988  0.065618  0.833896   \n",
       "47  0.862552  0.735222  0.931428  0.622175  0.100053  0.604539  0.780060   \n",
       "48  0.851476  0.651523  0.602201  0.590090  0.421486  0.304977  0.977240   \n",
       "49  0.171013  0.144147  0.711307  0.664805  0.823824  0.535989  0.187624   \n",
       "50  0.901630  0.205642  0.347238  0.850324  0.432353  0.222060  0.298383   \n",
       "51  0.900475  0.003570  0.246337  0.819377  0.401650  0.115449  0.308261   \n",
       "52  0.801289  0.650290  0.824796  0.504638  0.304650  0.925207  0.393955   \n",
       "53  0.838616  0.170024  0.300355  0.381237  0.997520  0.247993  0.954518   \n",
       "54  0.520232  0.380921  0.106550  0.952323  0.101439  0.329474  0.361227   \n",
       "55  0.074639  0.548266  0.208628  0.476588  0.636338  0.104437  0.422542   \n",
       "56  0.730550  0.242383  0.692589  0.589590  0.383386  0.480540  0.741165   \n",
       "57  0.829163  0.417331  0.881706  0.582530  0.218453  0.787999  0.522737   \n",
       "58  0.069956  0.298945  0.557159  0.755293  0.152569  0.764885  0.146185   \n",
       "59  0.704393  0.466890  0.771573  0.657276  0.762535  0.415738  0.802490   \n",
       "60  0.880450  0.683843  0.723314  0.665375  0.994892  0.808250  0.591550   \n",
       "61  0.524721  0.193966  0.623070  0.079615  0.835274  0.758916  0.644262   \n",
       "62  0.911477  0.609629  0.114163  0.633115  0.941467  0.556431  0.597430   \n",
       "63  0.150054  0.699938  0.367287  0.580641  0.191205  0.107215  0.032595   \n",
       "64  0.044949  0.055982  0.464782  0.185307  0.689003  0.236008  0.771977   \n",
       "65  0.820115  0.052182  0.267062  0.124191  0.430600  0.446272  0.779073   \n",
       "66  0.952010  0.361844  0.746798  0.248278  0.097081  0.499007  0.015886   \n",
       "67  0.386960  0.382168  0.086392  0.141270  0.282643  0.396020  0.178328   \n",
       "68  0.117069  0.183175  0.530703  0.509579  0.672034  0.319676  0.782981   \n",
       "69  0.944091  0.485462  0.305534  0.195840  0.373059  0.815720  0.145745   \n",
       "70  0.281526  0.021693  0.213761  0.219988  0.435527  0.449357  0.759042   \n",
       "71  0.551541  0.324617  0.048629  0.105459  0.427634  0.178608  0.079104   \n",
       "72  0.428264  0.739740  0.750224  0.090991  0.510390  0.078146  0.073564   \n",
       "73  0.442888  0.699712  0.656769  0.882594  0.381329  0.846669  0.301897   \n",
       "74  0.183450  0.728087  0.412985  0.012570  0.935167  0.037356  0.693228   \n",
       "75  0.907587  0.498185  0.672659  0.678085  0.240770  0.309763  0.555630   \n",
       "76  0.884715  0.743305  0.092940  0.462505  0.221352  0.237253  0.876668   \n",
       "77  0.300364  0.835279  0.337558  0.372496  0.087397  0.926316  0.437987   \n",
       "78  0.790778  0.262842  0.774944  0.323007  0.590386  0.458286  0.118084   \n",
       "79  0.419190  0.367281  0.378881  0.462889  0.850073  0.114963  0.423717   \n",
       "80  0.079133  0.597637  0.976567  0.862701  0.753617  0.715103  0.418215   \n",
       "81  0.420823  0.891302  0.597312  0.489133  0.672835  0.979283  0.423083   \n",
       "82  0.374552  0.815879  0.087653  0.062792  0.441571  0.381581  0.653622   \n",
       "83  0.400330  0.517042  0.010785  0.180624  0.371430  0.392193  0.581574   \n",
       "84  0.855207  0.437958  0.202583  0.586047  0.223368  0.178667  0.094266   \n",
       "85  0.702993  0.202714  0.800684  0.581990  0.832557  0.681088  0.529595   \n",
       "86  0.963374  0.002851  0.278126  0.303319  0.382781  0.228294  0.117718   \n",
       "87  0.428651  0.148882  0.194853  0.329601  0.455193  0.134463  0.739601   \n",
       "88  0.066818  0.137034  0.248964  0.490571  0.553426  0.839173  0.139945   \n",
       "89  0.714594  0.127457  0.151064  0.844610  0.281106  0.308681  0.831363   \n",
       "90  0.775104  0.766749  0.391896  0.954093  0.741952  0.735355  0.970587   \n",
       "91  0.490336  0.689666  0.900623  0.278627  0.491377  0.713210  0.246250   \n",
       "92  0.784607  0.980003  0.074185  0.503369  0.614454  0.129876  0.074444   \n",
       "93  0.384884  0.627406  0.101251  0.897678  0.566562  0.951890  0.490194   \n",
       "94  0.556615  0.639764  0.161342  0.669579  0.122120  0.385166  0.969815   \n",
       "95  0.488520  0.682969  0.964561  0.899604  0.378423  0.644292  0.677258   \n",
       "96  0.640468  0.527957  0.277913  0.429337  0.589427  0.609376  0.701999   \n",
       "97  0.890387  0.888898  0.443587  0.018628  0.549022  0.642324  0.479254   \n",
       "98  0.099779  0.944932  0.646978  0.565845  0.961522  0.042999  0.745851   \n",
       "99  0.260810  0.912724  0.179538  0.363543  0.810410  0.292306  0.195655   \n",
       "\n",
       "          28        29  \n",
       "0   0.775039  0.412386  \n",
       "1   0.439045  0.404881  \n",
       "2   0.233958  0.301704  \n",
       "3   0.235594  0.978403  \n",
       "4   0.800227  0.652551  \n",
       "5   0.607283  0.789062  \n",
       "6   0.864838  0.734848  \n",
       "7   0.628602  0.562219  \n",
       "8   0.752381  0.280349  \n",
       "9   0.942682  0.059056  \n",
       "10  0.086722  0.716075  \n",
       "11  0.820443  0.345355  \n",
       "12  0.053451  0.315931  \n",
       "13  0.146448  0.003330  \n",
       "14  0.323360  0.913913  \n",
       "15  0.336875  0.647768  \n",
       "16  0.354697  0.083038  \n",
       "17  0.574580  0.721992  \n",
       "18  0.087458  0.385799  \n",
       "19  0.936701  0.993278  \n",
       "20  0.672919  0.256158  \n",
       "21  0.047993  0.879046  \n",
       "22  0.080934  0.912208  \n",
       "23  0.372629  0.617857  \n",
       "24  0.981709  0.962642  \n",
       "25  0.790349  0.240731  \n",
       "26  0.059534  0.939546  \n",
       "27  0.827256  0.856752  \n",
       "28  0.417076  0.902869  \n",
       "29  0.604957  0.709172  \n",
       "30  0.861290  0.055246  \n",
       "31  0.328964  0.072510  \n",
       "32  0.132359  0.765531  \n",
       "33  0.132360  0.941529  \n",
       "34  0.751016  0.953293  \n",
       "35  0.140189  0.181310  \n",
       "36  0.567580  0.283756  \n",
       "37  0.634687  0.631037  \n",
       "38  0.142824  0.487245  \n",
       "39  0.984529  0.976142  \n",
       "40  0.002957  0.525038  \n",
       "41  0.421275  0.273299  \n",
       "42  0.593712  0.517212  \n",
       "43  0.272787  0.461349  \n",
       "44  0.244555  0.876272  \n",
       "45  0.860184  0.896478  \n",
       "46  0.662683  0.816639  \n",
       "47  0.962411  0.588523  \n",
       "48  0.514393  0.048044  \n",
       "49  0.217189  0.570282  \n",
       "50  0.664775  0.958049  \n",
       "51  0.612941  0.870673  \n",
       "52  0.199614  0.361320  \n",
       "53  0.220393  0.734893  \n",
       "54  0.659153  0.464153  \n",
       "55  0.098107  0.554296  \n",
       "56  0.831809  0.777391  \n",
       "57  0.469207  0.630730  \n",
       "58  0.886109  0.499044  \n",
       "59  0.518260  0.679503  \n",
       "60  0.027459  0.750605  \n",
       "61  0.800594  0.906065  \n",
       "62  0.269005  0.758348  \n",
       "63  0.379773  0.619523  \n",
       "64  0.751289  0.392166  \n",
       "65  0.790516  0.533594  \n",
       "66  0.489082  0.985338  \n",
       "67  0.856421  0.458342  \n",
       "68  0.014328  0.609038  \n",
       "69  0.860231  0.946066  \n",
       "70  0.059454  0.882776  \n",
       "71  0.338519  0.832808  \n",
       "72  0.568727  0.106031  \n",
       "73  0.016270  0.811660  \n",
       "74  0.191860  0.630727  \n",
       "75  0.948622  0.561589  \n",
       "76  0.164604  0.362618  \n",
       "77  0.844932  0.575924  \n",
       "78  0.823297  0.871790  \n",
       "79  0.210187  0.802821  \n",
       "80  0.168063  0.244866  \n",
       "81  0.450852  0.491330  \n",
       "82  0.638020  0.639932  \n",
       "83  0.664830  0.846698  \n",
       "84  0.676757  0.813497  \n",
       "85  0.711596  0.172003  \n",
       "86  0.958912  0.984522  \n",
       "87  0.143992  0.522306  \n",
       "88  0.849452  0.852110  \n",
       "89  0.940927  0.396301  \n",
       "90  0.673959  0.839634  \n",
       "91  0.472259  0.313519  \n",
       "92  0.035547  0.263580  \n",
       "93  0.781995  0.407303  \n",
       "94  0.061409  0.089618  \n",
       "95  0.353208  0.098977  \n",
       "96  0.274253  0.105528  \n",
       "97  0.050797  0.228636  \n",
       "98  0.070118  0.014579  \n",
       "99  0.623025  0.853659  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6faedb40-6622-4a88-aeac-b6535d29cca6",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 10)\n",
    "pd.set_option('display.max_rows', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d03f5e44-3994-44c8-8393-40297f8289b4",
   "metadata": {},
   "outputs": [
    {
     "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>GOOG</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>FB</th>\n",
       "      <th>NFLX</th>\n",
       "      <th>MSFT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>105.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>105.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.046206</td>\n",
       "      <td>1.138536</td>\n",
       "      <td>1.393822</td>\n",
       "      <td>0.945121</td>\n",
       "      <td>1.540559</td>\n",
       "      <td>1.318059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.077776</td>\n",
       "      <td>0.182109</td>\n",
       "      <td>0.140796</td>\n",
       "      <td>0.103350</td>\n",
       "      <td>0.200508</td>\n",
       "      <td>0.220662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.888689</td>\n",
       "      <td>0.847200</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.668718</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.988547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.992924</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>1.304091</td>\n",
       "      <td>0.879529</td>\n",
       "      <td>1.398876</td>\n",
       "      <td>1.142873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.036372</td>\n",
       "      <td>1.095429</td>\n",
       "      <td>1.420278</td>\n",
       "      <td>0.959968</td>\n",
       "      <td>1.560884</td>\n",
       "      <td>1.242431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.095189</td>\n",
       "      <td>1.236000</td>\n",
       "      <td>1.491702</td>\n",
       "      <td>1.016858</td>\n",
       "      <td>1.701605</td>\n",
       "      <td>1.543599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.226504</td>\n",
       "      <td>1.678000</td>\n",
       "      <td>1.637494</td>\n",
       "      <td>1.123575</td>\n",
       "      <td>1.957665</td>\n",
       "      <td>1.802472</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             GOOG        AAPL        AMZN          FB        NFLX        MSFT\n",
       "count  105.000000  105.000000  105.000000  105.000000  105.000000  105.000000\n",
       "mean     1.046206    1.138536    1.393822    0.945121    1.540559    1.318059\n",
       "std      0.077776    0.182109    0.140796    0.103350    0.200508    0.220662\n",
       "min      0.888689    0.847200    1.000000    0.668718    1.000000    0.988547\n",
       "25%      0.992924    1.000400    1.304091    0.879529    1.398876    1.142873\n",
       "50%      1.036372    1.095429    1.420278    0.959968    1.560884    1.242431\n",
       "75%      1.095189    1.236000    1.491702    1.016858    1.701605    1.543599\n",
       "max      1.226504    1.678000    1.637494    1.123575    1.957665    1.802472"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(os.path.join('files','stocks.csv'))\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "602715a0-e57d-4dc0-b1a2-733f9b90c3ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                        Canada\n",
       "1                       Germany\n",
       "2                        France\n",
       "3                       Germany\n",
       "4                        Mexico\n",
       "                 ...           \n",
       "695                      France\n",
       "696                      Mexico\n",
       "697                      Mexico\n",
       "698                      Canada\n",
       "699    United States of America\n",
       "Name: Country, Length: 700, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel(os.path.join('files','Sample.xlsx'))\n",
    "df.Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "821f2a23-63ef-491e-a16a-8c4d7aa1cbbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      1618.5\n",
       "1      1321.0\n",
       "2      2178.0\n",
       "3       888.0\n",
       "4      2470.0\n",
       "        ...  \n",
       "695    2475.0\n",
       "696     546.0\n",
       "697    1368.0\n",
       "698     723.0\n",
       "699    1806.0\n",
       "Name: Units Sold, Length: 700, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Units Sold']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1608f861-912a-4d4a-8c02-e89df2769454",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "      <th>...</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Date</th>\n",
       "      <th>Month Number</th>\n",
       "      <th>Month Name</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1618.5</td>\n",
       "      <td>...</td>\n",
       "      <td>16185.0</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Government</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1321.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13210.0</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>France</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>2178.0</td>\n",
       "      <td>...</td>\n",
       "      <td>10890.0</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>888.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4440.0</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>2470.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12350.0</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Segment  Country    Product Discount Band  Units Sold  ...   Profit  \\\n",
       "0  Government   Canada  Carretera          None      1618.5  ...  16185.0   \n",
       "1  Government  Germany  Carretera          None      1321.0  ...  13210.0   \n",
       "2   Midmarket   France  Carretera          None      2178.0  ...  10890.0   \n",
       "3   Midmarket  Germany  Carretera          None       888.0  ...   4440.0   \n",
       "4   Midmarket   Mexico  Carretera          None      2470.0  ...  12350.0   \n",
       "\n",
       "        Date  Month Number  Month Name  Year  \n",
       "0 2014-01-01             1     January  2014  \n",
       "1 2014-01-01             1     January  2014  \n",
       "2 2014-06-01             6        June  2014  \n",
       "3 2014-06-01             6        June  2014  \n",
       "4 2014-06-01             6        June  2014  \n",
       "\n",
       "[5 rows x 16 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "362b0c27-e71d-4eaf-8a68-662bcae44e71",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "      <th>...</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Date</th>\n",
       "      <th>Month Number</th>\n",
       "      <th>Month Name</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1618.5</td>\n",
       "      <td>...</td>\n",
       "      <td>16185.000</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Government</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1513.0</td>\n",
       "      <td>...</td>\n",
       "      <td>136170.000</td>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>2470.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12350.000</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>615.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3075.000</td>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Channel Partners</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>None</td>\n",
       "      <td>367.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3303.000</td>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>July</td>\n",
       "      <td>2014</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>75</th>\n",
       "      <td>Government</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>Low</td>\n",
       "      <td>4492.5</td>\n",
       "      <td>...</td>\n",
       "      <td>8670.525</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Channel Partners</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>Low</td>\n",
       "      <td>766.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6802.080</td>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Enterprise</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Velo</td>\n",
       "      <td>Low</td>\n",
       "      <td>923.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3461.250</td>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>8</td>\n",
       "      <td>August</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Enterprise</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>VTT</td>\n",
       "      <td>Low</td>\n",
       "      <td>727.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2726.250</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Enterprise</td>\n",
       "      <td>France</td>\n",
       "      <td>VTT</td>\n",
       "      <td>Low</td>\n",
       "      <td>1744.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6540.000</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Segment                   Country    Product Discount Band  \\\n",
       "0         Government                    Canada  Carretera          None   \n",
       "5         Government                   Germany  Carretera          None   \n",
       "10         Midmarket                    Mexico    Montana          None   \n",
       "15         Midmarket  United States of America    Montana          None   \n",
       "20  Channel Partners                   Germany      Paseo          None   \n",
       "..               ...                       ...        ...           ...   \n",
       "75        Government  United States of America      Paseo           Low   \n",
       "80  Channel Partners                   Germany      Paseo           Low   \n",
       "85        Enterprise                    Canada       Velo           Low   \n",
       "90        Enterprise  United States of America        VTT           Low   \n",
       "95        Enterprise                    France        VTT           Low   \n",
       "\n",
       "    Units Sold  ...      Profit       Date  Month Number  Month Name  Year  \n",
       "0       1618.5  ...   16185.000 2014-01-01             1     January  2014  \n",
       "5       1513.0  ...  136170.000 2014-12-01            12    December  2014  \n",
       "10      2470.0  ...   12350.000 2014-06-01             6        June  2014  \n",
       "15       615.0  ...    3075.000 2014-12-01            12    December  2014  \n",
       "20       367.0  ...    3303.000 2014-07-01             7        July  2014  \n",
       "..         ...  ...         ...        ...           ...         ...   ...  \n",
       "75      4492.5  ...    8670.525 2014-04-01             4       April  2014  \n",
       "80       766.0  ...    6802.080 2013-10-01            10     October  2013  \n",
       "85       923.0  ...    3461.250 2014-08-01             8      August  2014  \n",
       "90       727.0  ...    2726.250 2014-06-01             6        June  2014  \n",
       "95      1744.0  ...    6540.000 2014-11-01            11    November  2014  \n",
       "\n",
       "[20 rows x 16 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[0:100:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "749023b7-2341-4d12-982b-525d1b180366",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Government</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Montana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Channel Partners</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Montana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Government</td>\n",
       "      <td>France</td>\n",
       "      <td>Montana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Channel Partners</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Montana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Montana</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Segment  Country    Product\n",
       "5         Government  Germany  Carretera\n",
       "6          Midmarket  Germany    Montana\n",
       "7   Channel Partners   Canada    Montana\n",
       "8         Government   France    Montana\n",
       "9   Channel Partners  Germany    Montana\n",
       "10         Midmarket   Mexico    Montana"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[5:10,'Segment':'Product']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4e9d0dec-f811-4c64-8337-71396fb04fa1",
   "metadata": {},
   "outputs": [
    {
     "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>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>1513.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>921.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>2518.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>1899.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>1545.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Product Discount Band  Units Sold\n",
       "5  Carretera          None      1513.0\n",
       "6    Montana          None       921.0\n",
       "7    Montana          None      2518.0\n",
       "8    Montana          None      1899.0\n",
       "9    Montana          None      1545.0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[5:10,2:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d4247f61-14b9-439c-a9ac-15cc643fbbb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3       True\n",
       "4      False\n",
       "       ...  \n",
       "695    False\n",
       "696     True\n",
       "697    False\n",
       "698     True\n",
       "699    False\n",
       "Name: Units Sold, Length: 700, dtype: bool"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = df['Units Sold'] < 1000\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "927679cf-8966-41d6-9e18-6afe2a852b1b",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "      <th>...</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Date</th>\n",
       "      <th>Month Number</th>\n",
       "      <th>Month Name</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>None</td>\n",
       "      <td>888.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4440.00</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>921.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4605.00</td>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>958.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47900.00</td>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>8</td>\n",
       "      <td>August</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Enterprise</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>345.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1725.00</td>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Midmarket</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>615.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3075.00</td>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>2014</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>690</th>\n",
       "      <td>Government</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>VTT</td>\n",
       "      <td>High</td>\n",
       "      <td>267.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1869.00</td>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>Enterprise</td>\n",
       "      <td>Germany</td>\n",
       "      <td>VTT</td>\n",
       "      <td>High</td>\n",
       "      <td>552.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-7590.00</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>Government</td>\n",
       "      <td>France</td>\n",
       "      <td>VTT</td>\n",
       "      <td>High</td>\n",
       "      <td>293.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2051.00</td>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Amarilla</td>\n",
       "      <td>High</td>\n",
       "      <td>546.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2730.00</td>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>High</td>\n",
       "      <td>723.0</td>\n",
       "      <td>...</td>\n",
       "      <td>686.85</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>201 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Segment                   Country    Product Discount Band  \\\n",
       "3         Midmarket                   Germany  Carretera          None   \n",
       "6         Midmarket                   Germany    Montana          None   \n",
       "12   Small Business                    Mexico    Montana          None   \n",
       "14       Enterprise                    Canada    Montana          None   \n",
       "15        Midmarket  United States of America    Montana          None   \n",
       "..              ...                       ...        ...           ...   \n",
       "690      Government  United States of America        VTT          High   \n",
       "693      Enterprise                   Germany        VTT          High   \n",
       "694      Government                    France        VTT          High   \n",
       "696  Small Business                    Mexico   Amarilla          High   \n",
       "698      Government                    Canada      Paseo          High   \n",
       "\n",
       "     Units Sold  ...    Profit       Date  Month Number  Month Name  Year  \n",
       "3         888.0  ...   4440.00 2014-06-01             6        June  2014  \n",
       "6         921.0  ...   4605.00 2014-03-01             3       March  2014  \n",
       "12        958.0  ...  47900.00 2014-08-01             8      August  2014  \n",
       "14        345.0  ...   1725.00 2013-10-01            10     October  2013  \n",
       "15        615.0  ...   3075.00 2014-12-01            12    December  2014  \n",
       "..          ...  ...       ...        ...           ...         ...   ...  \n",
       "690       267.0  ...   1869.00 2013-10-01            10     October  2013  \n",
       "693       552.0  ...  -7590.00 2014-11-01            11    November  2014  \n",
       "694       293.0  ...   2051.00 2014-12-01            12    December  2014  \n",
       "696       546.0  ...   2730.00 2014-10-01            10     October  2014  \n",
       "698       723.0  ...    686.85 2014-04-01             4       April  2014  \n",
       "\n",
       "[201 rows x 16 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Units Sold'] < 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5a16aad0-9c4e-47ce-871f-ed257aceb68a",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "      <th>...</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Date</th>\n",
       "      <th>Month Number</th>\n",
       "      <th>Month Name</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>958.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47900.00</td>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>8</td>\n",
       "      <td>August</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>None</td>\n",
       "      <td>788.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39400.00</td>\n",
       "      <td>2013-09-01</td>\n",
       "      <td>9</td>\n",
       "      <td>September</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>Low</td>\n",
       "      <td>494.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23218.00</td>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>VTT</td>\n",
       "      <td>Low</td>\n",
       "      <td>943.5</td>\n",
       "      <td>...</td>\n",
       "      <td>81612.75</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Germany</td>\n",
       "      <td>VTT</td>\n",
       "      <td>Low</td>\n",
       "      <td>986.0</td>\n",
       "      <td>...</td>\n",
       "      <td>46342.00</td>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>9</td>\n",
       "      <td>September</td>\n",
       "      <td>2014</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>566</th>\n",
       "      <td>Government</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Amarilla</td>\n",
       "      <td>High</td>\n",
       "      <td>270.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12960.00</td>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>High</td>\n",
       "      <td>923.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41073.50</td>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>Government</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Montana</td>\n",
       "      <td>High</td>\n",
       "      <td>982.5</td>\n",
       "      <td>...</td>\n",
       "      <td>43721.25</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>Government</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>High</td>\n",
       "      <td>357.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15886.50</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>High</td>\n",
       "      <td>700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>28700.00</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Segment                   Country    Product Discount Band  \\\n",
       "12   Small Business                    Mexico    Montana          None   \n",
       "23   Small Business                    Mexico      Paseo          None   \n",
       "65   Small Business                    Mexico  Carretera           Low   \n",
       "89       Government                    Canada        VTT           Low   \n",
       "92   Small Business                   Germany        VTT           Low   \n",
       "..              ...                       ...        ...           ...   \n",
       "566      Government  United States of America   Amarilla          High   \n",
       "578      Government                    Canada  Carretera          High   \n",
       "581      Government  United States of America    Montana          High   \n",
       "596      Government                   Germany      Paseo          High   \n",
       "643      Government                    Canada      Paseo          High   \n",
       "\n",
       "     Units Sold  ...    Profit       Date  Month Number  Month Name  Year  \n",
       "12        958.0  ...  47900.00 2014-08-01             8      August  2014  \n",
       "23        788.0  ...  39400.00 2013-09-01             9   September  2013  \n",
       "65        494.0  ...  23218.00 2013-10-01            10     October  2013  \n",
       "89        943.5  ...  81612.75 2014-04-01             4       April  2014  \n",
       "92        986.0  ...  46342.00 2014-09-01             9   September  2014  \n",
       "..          ...  ...       ...        ...           ...         ...   ...  \n",
       "566       270.0  ...  12960.00 2014-02-01             2    February  2014  \n",
       "578       923.0  ...  41073.50 2014-03-01             3       March  2014  \n",
       "581       982.5  ...  43721.25 2014-01-01             1     January  2014  \n",
       "596       357.0  ...  15886.50 2014-11-01            11    November  2014  \n",
       "643       700.0  ...  28700.00 2014-11-01            11    November  2014  \n",
       "\n",
       "[53 rows x 16 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['Units Sold'] < 1000) & (df['Profit'] > 10000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "6548c41e-7fb3-44fc-8ffb-f02a70f77b75",
   "metadata": {},
   "outputs": [
    {
     "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>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>Product</th>\n",
       "      <th>Discount Band</th>\n",
       "      <th>Units Sold</th>\n",
       "      <th>...</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Date</th>\n",
       "      <th>Month Number</th>\n",
       "      <th>Month Name</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Montana</td>\n",
       "      <td>None</td>\n",
       "      <td>958.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47900.00</td>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>8</td>\n",
       "      <td>August</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>None</td>\n",
       "      <td>788.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39400.00</td>\n",
       "      <td>2013-09-01</td>\n",
       "      <td>9</td>\n",
       "      <td>September</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>Low</td>\n",
       "      <td>494.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23218.00</td>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>VTT</td>\n",
       "      <td>Low</td>\n",
       "      <td>943.5</td>\n",
       "      <td>...</td>\n",
       "      <td>81612.75</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Small Business</td>\n",
       "      <td>Germany</td>\n",
       "      <td>VTT</td>\n",
       "      <td>Low</td>\n",
       "      <td>986.0</td>\n",
       "      <td>...</td>\n",
       "      <td>46342.00</td>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>9</td>\n",
       "      <td>September</td>\n",
       "      <td>2014</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>566</th>\n",
       "      <td>Government</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Amarilla</td>\n",
       "      <td>High</td>\n",
       "      <td>270.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12960.00</td>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Carretera</td>\n",
       "      <td>High</td>\n",
       "      <td>923.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41073.50</td>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>Government</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Montana</td>\n",
       "      <td>High</td>\n",
       "      <td>982.5</td>\n",
       "      <td>...</td>\n",
       "      <td>43721.25</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>Government</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>High</td>\n",
       "      <td>357.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15886.50</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>Government</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Paseo</td>\n",
       "      <td>High</td>\n",
       "      <td>700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>28700.00</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Segment                   Country    Product Discount Band  \\\n",
       "12   Small Business                    Mexico    Montana          None   \n",
       "23   Small Business                    Mexico      Paseo          None   \n",
       "65   Small Business                    Mexico  Carretera           Low   \n",
       "89       Government                    Canada        VTT           Low   \n",
       "92   Small Business                   Germany        VTT           Low   \n",
       "..              ...                       ...        ...           ...   \n",
       "566      Government  United States of America   Amarilla          High   \n",
       "578      Government                    Canada  Carretera          High   \n",
       "581      Government  United States of America    Montana          High   \n",
       "596      Government                   Germany      Paseo          High   \n",
       "643      Government                    Canada      Paseo          High   \n",
       "\n",
       "     Units Sold  ...    Profit       Date  Month Number  Month Name  Year  \n",
       "12        958.0  ...  47900.00 2014-08-01             8      August  2014  \n",
       "23        788.0  ...  39400.00 2013-09-01             9   September  2013  \n",
       "65        494.0  ...  23218.00 2013-10-01            10     October  2013  \n",
       "89        943.5  ...  81612.75 2014-04-01             4       April  2014  \n",
       "92        986.0  ...  46342.00 2014-09-01             9   September  2014  \n",
       "..          ...  ...       ...        ...           ...         ...   ...  \n",
       "566       270.0  ...  12960.00 2014-02-01             2    February  2014  \n",
       "578       923.0  ...  41073.50 2014-03-01             3       March  2014  \n",
       "581       982.5  ...  43721.25 2014-01-01             1     January  2014  \n",
       "596       357.0  ...  15886.50 2014-11-01            11    November  2014  \n",
       "643       700.0  ...  28700.00 2014-11-01            11    November  2014  \n",
       "\n",
       "[53 rows x 16 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lowsold = df[df['Units Sold'] < 1000]\n",
    "lowsold[lowsold['Profit'] > 10000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "889ec807-591b-41e6-9a40-780bb6b2f79b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[',Segment,Country,Product,Discount Band,Units Sold,Manufacturing Price,Sale Price,Gross Sales,Discounts,Sales,COGS,Profit,Date,Month Number,Month Name,Year\\n',\n",
       " '3,Midmarket,Germany,Carretera,None,888.0,3,15,13320.0,0.0,13320.0,8880.0,4440.0,2014-06-01,6,June,2014\\n',\n",
       " '6,Midmarket,Germany,Montana,None,921.0,5,15,13815.0,0.0,13815.0,9210.0,4605.0,2014-03-01,3,March,2014\\n',\n",
       " '12,Small Business,Mexico,Montana,None,958.0,5,300,287400.0,0.0,287400.0,239500.0,47900.0,2014-08-01,8,August,2014\\n',\n",
       " '14,Enterprise,Canada,Montana,None,345.0,5,125,43125.0,0.0,43125.0,41400.0,1725.0,2013-10-01,10,October,2013\\n']"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = os.path.join('files','lowsold.csv')\n",
    "lowsold.to_csv(file)\n",
    "open(file).readlines()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "19493d2b-426e-43f6-9001-6605a75a0ec5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Segment,Country,Product,Discount Band,Units Sold,Manufacturing Price,Sale Price,Gross Sales,Discounts,Sales,COGS,Profit,Date,Month Number,Month Name,Year\\n',\n",
       " 'Midmarket,Germany,Carretera,None,888.0,3,15,13320.0,0.0,13320.0,8880.0,4440.0,2014-06-01,6,June,2014\\n',\n",
       " 'Midmarket,Germany,Montana,None,921.0,5,15,13815.0,0.0,13815.0,9210.0,4605.0,2014-03-01,3,March,2014\\n',\n",
       " 'Small Business,Mexico,Montana,None,958.0,5,300,287400.0,0.0,287400.0,239500.0,47900.0,2014-08-01,8,August,2014\\n',\n",
       " 'Enterprise,Canada,Montana,None,345.0,5,125,43125.0,0.0,43125.0,41400.0,1725.0,2013-10-01,10,October,2013\\n']"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = os.path.join('files','lowsold-noindex.csv')\n",
    "lowsold.to_csv(file,index=False)\n",
    "open(file).readlines()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "56211b13-a695-46b7-b5eb-15095e7d61a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Midmarket,Germany,Carretera,None,888.0,3,15,13320.0,0.0,13320.0,8880.0,4440.0,2014-06-01,6,June,2014\\n',\n",
       " 'Midmarket,Germany,Montana,None,921.0,5,15,13815.0,0.0,13815.0,9210.0,4605.0,2014-03-01,3,March,2014\\n',\n",
       " 'Small Business,Mexico,Montana,None,958.0,5,300,287400.0,0.0,287400.0,239500.0,47900.0,2014-08-01,8,August,2014\\n',\n",
       " 'Enterprise,Canada,Montana,None,345.0,5,125,43125.0,0.0,43125.0,41400.0,1725.0,2013-10-01,10,October,2013\\n',\n",
       " 'Midmarket,United States of America,Montana,None,615.0,5,15,9225.0,0.0,9225.0,6150.0,3075.0,2014-12-01,12,December,2014\\n']"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = os.path.join('files','lowsold-noindex.csv')\n",
    "lowsold.to_csv(file,index=False,header=False)\n",
    "open(file).readlines()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70f52a45-e4c1-4d1e-9ae8-e1ed435aa8af",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}