{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pandas para usuarios de Microsoft Excel --- 19:50 min\n",
    "\n",
    "* 19:50 min | Última modificación: Octubre 6, 2021"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lectura de un archivo CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://raw.github.com/pandas-dev/pandas/master/pandas/tests/io/data/csv/tips.csv'\n",
    "tips = pd.read_csv(url)\n",
    "tips.head(n=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Autofiltro en Microsoft Excel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![autofilter](images/autofilter.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Ordenamiento de una columna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>28.17</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>34.81</td>\n",
       "      <td>5.20</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>34.83</td>\n",
       "      <td>5.17</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>29.85</td>\n",
       "      <td>5.14</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>35.26</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>25.28</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>27.05</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>43.11</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>35.83</td>\n",
       "      <td>4.67</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>16.32</td>\n",
       "      <td>4.30</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fri</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "214       28.17  6.50  Female    Yes   Sat  Dinner     3\n",
       "52        34.81  5.20  Female     No   Sun  Dinner     4\n",
       "85        34.83  5.17  Female     No  Thur   Lunch     4\n",
       "155       29.85  5.14  Female     No   Sun  Dinner     5\n",
       "11        35.26  5.00  Female     No   Sun  Dinner     4\n",
       "73        25.28  5.00  Female    Yes   Sat  Dinner     2\n",
       "143       27.05  5.00  Female     No  Thur   Lunch     6\n",
       "197       43.11  5.00  Female    Yes  Thur   Lunch     4\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "93        16.32  4.30  Female    Yes   Fri  Dinner     2"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.sort_values(\n",
    "    by=[\"sex\", \"tip\"],\n",
    "    ascending=[True, False],\n",
    ").head(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtrado"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![filtrado-excel](images/filtrado-excel.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>39.42</td>\n",
       "      <td>7.58</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>48.27</td>\n",
       "      <td>6.73</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>34.30</td>\n",
       "      <td>6.70</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>50.81</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>48.33</td>\n",
       "      <td>9.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill    tip   sex smoker   day    time  size\n",
       "23        39.42   7.58  Male     No   Sat  Dinner     4\n",
       "59        48.27   6.73  Male     No   Sat  Dinner     4\n",
       "141       34.30   6.70  Male     No  Thur   Lunch     6\n",
       "170       50.81  10.00  Male    Yes   Sat  Dinner     3\n",
       "212       48.33   9.00  Male     No   Sat  Dinner     4"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Filtro \"Mayor que\"\n",
    "#\n",
    "tips[tips['tip'] > 6.50].head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>39.42</td>\n",
       "      <td>7.58</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>48.27</td>\n",
       "      <td>6.73</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>34.30</td>\n",
       "      <td>6.70</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>50.81</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>48.33</td>\n",
       "      <td>9.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill    tip   sex smoker   day    time  size\n",
       "23        39.42   7.58  Male     No   Sat  Dinner     4\n",
       "59        48.27   6.73  Male     No   Sat  Dinner     4\n",
       "141       34.30   6.70  Male     No  Thur   Lunch     6\n",
       "170       50.81  10.00  Male    Yes   Sat  Dinner     3\n",
       "212       48.33   9.00  Male     No   Sat  Dinner     4"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Comando equivalente con query\n",
    "#\n",
    "tips.query('tip > 6.50').head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>39.42</td>\n",
       "      <td>7.58</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>48.27</td>\n",
       "      <td>6.73</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>50.81</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>48.33</td>\n",
       "      <td>9.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill    tip   sex smoker  day    time  size\n",
       "23        39.42   7.58  Male     No  Sat  Dinner     4\n",
       "59        48.27   6.73  Male     No  Sat  Dinner     4\n",
       "170       50.81  10.00  Male    Yes  Sat  Dinner     3\n",
       "212       48.33   9.00  Male     No  Sat  Dinner     4"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Filtro con condicional compuesto\n",
    "#\n",
    "tips[(tips['tip'] > 6.50) & (tips['time'] == 'Dinner')].head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>30.14</td>\n",
       "      <td>3.09</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>13.42</td>\n",
       "      <td>3.48</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fri</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>15.98</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Fri</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>20.45</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>15.69</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>11.61</td>\n",
       "      <td>3.39</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>15.53</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>35.83</td>\n",
       "      <td>4.67</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "219       30.14  3.09  Female    Yes   Sat  Dinner     4\n",
       "221       13.42  3.48  Female    Yes   Fri   Lunch     2\n",
       "223       15.98  3.00  Female     No   Fri   Lunch     3\n",
       "227       20.45  3.00    Male     No   Sat  Dinner     4\n",
       "231       15.69  3.00    Male    Yes   Sat  Dinner     3\n",
       "232       11.61  3.39    Male     No   Sat  Dinner     2\n",
       "234       15.53  3.00    Male    Yes   Sat  Dinner     2\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Filtro \"Por encima del promedio\"\n",
    "#\n",
    "tips[\n",
    "    tips['tip'] > tips['tip'].mean()\n",
    "].tail(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.99827868852459"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Cómputo del promedio\n",
    "#\n",
    "tips['tip'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>50.81</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>48.33</td>\n",
       "      <td>9.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>39.42</td>\n",
       "      <td>7.58</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>48.27</td>\n",
       "      <td>6.73</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>34.30</td>\n",
       "      <td>6.70</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>23.17</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>28.17</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>32.40</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>24.71</td>\n",
       "      <td>5.85</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill    tip     sex smoker   day    time  size\n",
       "170       50.81  10.00    Male    Yes   Sat  Dinner     3\n",
       "212       48.33   9.00    Male     No   Sat  Dinner     4\n",
       "23        39.42   7.58    Male     No   Sat  Dinner     4\n",
       "59        48.27   6.73    Male     No   Sat  Dinner     4\n",
       "141       34.30   6.70    Male     No  Thur   Lunch     6\n",
       "183       23.17   6.50    Male    Yes   Sun  Dinner     4\n",
       "214       28.17   6.50  Female    Yes   Sat  Dinner     3\n",
       "47        32.40   6.00    Male     No   Sun  Dinner     4\n",
       "239       29.03   5.92    Male     No   Sat  Dinner     3\n",
       "88        24.71   5.85    Male     No  Thur   Lunch     2"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Diez mejores\n",
    "#\n",
    "tips.nlargest(10, 'tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
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       "      <th>sex</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>3.07</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>5.75</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fri</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>7.25</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>12.60</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>12.90</td>\n",
       "      <td>1.10</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>32.83</td>\n",
       "      <td>1.17</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>10.51</td>\n",
       "      <td>1.25</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>8.51</td>\n",
       "      <td>1.25</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>10.07</td>\n",
       "      <td>1.25</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "67         3.07  1.00  Female    Yes   Sat  Dinner     1\n",
       "92         5.75  1.00  Female    Yes   Fri  Dinner     2\n",
       "111        7.25  1.00  Female     No   Sat  Dinner     1\n",
       "236       12.60  1.00    Male    Yes   Sat  Dinner     2\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "215       12.90  1.10  Female    Yes   Sat  Dinner     2\n",
       "237       32.83  1.17    Male    Yes   Sat  Dinner     2\n",
       "75        10.51  1.25    Male     No   Sat  Dinner     2\n",
       "135        8.51  1.25  Female     No  Thur   Lunch     2\n",
       "235       10.07  1.25    Male     No   Sat  Dinner     2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Diez inferiores\n",
    "#\n",
    "tips.nsmallest(10, 'tip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Eliminación de una columna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
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       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker    time  size\n",
       "0         16.99  1.01  Female     No  Dinner     2\n",
       "1         10.34  1.66    Male     No  Dinner     3\n",
       "2         21.01  3.50    Male     No  Dinner     3\n",
       "3         23.68  3.31    Male     No  Dinner     2\n",
       "4         24.59  3.61  Female     No  Dinner     4\n",
       "..          ...   ...     ...    ...     ...   ...\n",
       "239       29.03  5.92    Male     No  Dinner     3\n",
       "240       27.18  2.00  Female    Yes  Dinner     2\n",
       "241       22.67  2.00    Male    Yes  Dinner     2\n",
       "242       17.82  1.75    Male     No  Dinner     2\n",
       "243       18.78  3.00  Female     No  Dinner     2\n",
       "\n",
       "[244 rows x 6 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.drop(\"day\", axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cambio del nombre de una columna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>is_smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</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>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex is_smoker   day    time  size\n",
       "0         16.99  1.01  Female        No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male        No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male        No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male        No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female        No   Sun  Dinner     4\n",
       "..          ...   ...     ...       ...   ...     ...   ...\n",
       "239       29.03  5.92    Male        No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female       Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male       Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male        No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female        No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.rename(\n",
    "    columns={\"smoker\": \"is_smoker\"},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subtotales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex\n",
       "Female     87\n",
       "Male      157\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Contar -- size()\n",
    "#\n",
    "tips.groupby('sex').size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</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>Female</th>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        total_bill  tip  smoker  day  time  size\n",
       "sex                                             \n",
       "Female          87   87      87   87    87    87\n",
       "Male           157  157     157  157   157   157"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Contar -- size() vs count()\n",
    "#\n",
    "tips.groupby('sex').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</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>Female</th>\n",
       "      <td>44.30</td>\n",
       "      <td>6.5</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>50.81</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        total_bill   tip smoker   day   time  size\n",
       "sex                                               \n",
       "Female       44.30   6.5    Yes  Thur  Lunch     6\n",
       "Male         50.81  10.0    Yes  Thur  Lunch     6"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Contar -- max(), min(), ...\n",
    "#\n",
    "tips.groupby('sex').max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>tip</th>\n",
       "      <th>total_bill</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Female</th>\n",
       "      <td>6.5</td>\n",
       "      <td>18.056897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>10.0</td>\n",
       "      <td>20.744076</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         tip  total_bill\n",
       "sex                     \n",
       "Female   6.5   18.056897\n",
       "Male    10.0   20.744076"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Funciones diferenciales por columna\n",
    "#\n",
    "tips.groupby(\"sex\").agg(\n",
    "    {\n",
    "        \"tip\": np.max,\n",
    "        \"total_bill\": np.mean,\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>tip</th>\n",
       "      <th>total_bill</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Female</th>\n",
       "      <td>6.5</td>\n",
       "      <td>18.056897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>10.0</td>\n",
       "      <td>20.744076</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         tip  total_bill\n",
       "sex                     \n",
       "Female   6.5   18.056897\n",
       "Male    10.0   20.744076"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby(\n",
    "    \"sex\", \n",
    "    as_index=True,\n",
    ").agg(\n",
    "    {\n",
    "        \"tip\": np.max,\n",
    "        \"total_bill\": np.mean,\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>tip</th>\n",
       "      <th>total_bill</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Female</th>\n",
       "      <td>6.5</td>\n",
       "      <td>18.056897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>10.0</td>\n",
       "      <td>20.744076</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         tip  total_bill\n",
       "sex                     \n",
       "Female   6.5   18.056897\n",
       "Male    10.0   20.744076"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Opción as_index\n",
    "#\n",
    "tips.groupby(\n",
    "    \"sex\",\n",
    "    as_index=True,\n",
    ").agg({\"tip\": np.max, \"total_bill\": np.mean})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
       "      <th>tip</th>\n",
       "      <th>total_bill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Female</td>\n",
       "      <td>6.5</td>\n",
       "      <td>18.056897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20.744076</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      sex   tip  total_bill\n",
       "0  Female   6.5   18.056897\n",
       "1    Male  10.0   20.744076"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby(\n",
    "    \"sex\",\n",
    "    as_index=False,\n",
    ").agg({\"tip\": np.max, \"total_bill\": np.mean})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Computos sobre las columnas de una tabla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'], dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "      <th>tax10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>1.699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "      <td>1.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "      <td>2.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>2.368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "      <td>2.459</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "      <td>2.903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>2.718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>2.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>1.782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>1.878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size  tax10\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2  1.699\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3  1.034\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3  2.101\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2  2.368\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4  2.459\n",
       "..          ...   ...     ...    ...   ...     ...   ...    ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3  2.903\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2  2.718\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2  2.267\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2  1.782\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2  1.878\n",
       "\n",
       "[244 rows x 8 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Una nueva columna\n",
    "#\n",
    "tips.assign(tax10=0.1 * tips.total_bill)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Valores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Valores\n",
       "0       10\n",
       "1       21\n",
       "2       32\n",
       "3       42\n",
       "4       55\n",
       "5       61\n",
       "6       74"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Computos con valores respecto a otras filas\n",
    "#\n",
    "x = pd.DataFrame([10, 21, 32, 42, 55, 61, 74], columns=['Valores'])\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Valores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Valores\n",
       "0        0\n",
       "1        0\n",
       "2       10\n",
       "3       21\n",
       "4       32\n",
       "5       42\n",
       "6       55"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shift(periods=2, fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Valores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Valores\n",
       "0       32\n",
       "1       42\n",
       "2       55\n",
       "3       61\n",
       "4       74\n",
       "5        0\n",
       "6        0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shift(periods=-2, fill_value=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Escenarios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Alternativa 1\n",
    "#\n",
    "escenarios = [\n",
    "    (1, 2, 3),\n",
    "    (4, 5, 6),\n",
    "    (7, 8, 9),\n",
    "    (10, 11, 12),\n",
    "]\n",
    "a, b, c = escenarios[1]\n",
    "a + b + c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Alterantiva 2\n",
    "#\n",
    "def f(a, b, c):\n",
    "    return a + b + c\n",
    "\n",
    "\n",
    "escenarios = [\n",
    "    {\"a\": 1, \"b\": 2, \"c\": 3},\n",
    "    {\"a\": 4, \"b\": 5, \"c\": 6},\n",
    "    {\"a\": 7, \"b\": 8, \"c\": 9},\n",
    "    {\"a\": 10, \"b\": 11, \"c\": 12},\n",
    "]\n",
    "f(**escenarios[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tablas dinámicas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Escenario</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Escenario\n",
       "0          0\n",
       "1          1\n",
       "2          2\n",
       "3          3"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Del ejemplo anterior\n",
    "# \n",
    "def f(a, b, c):\n",
    "    return a + b + c\n",
    "\n",
    "escenarios = [\n",
    "    {\"a\": 1, \"b\": 2, \"c\": 3},\n",
    "    {\"a\": 4, \"b\": 5, \"c\": 6},\n",
    "    {\"a\": 7, \"b\": 8, \"c\": 9},\n",
    "    {\"a\": 10, \"b\": 11, \"c\": 12},\n",
    "]\n",
    "\n",
    "z = pd.DataFrame(range(len(escenarios)), columns=['Escenario'])\n",
    "z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Escenario</th>\n",
       "      <th>f</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Escenario   f\n",
       "0          0   6\n",
       "1          1  15\n",
       "2          2  24\n",
       "3          3  33"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z['f'] = [f(**escenarios[i]) for i in z['Escenario']]\n",
    "z"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f0(x):\n",
    "    return sum([i**2 for i in x])\n",
    "\n",
    "# 1^2 + 2^2 + 3^2 = 14\n",
    "f0([1, 2, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1.17452324e-08, -8.75678727e-09, -3.66353142e-09])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.optimize import minimize\n",
    "\n",
    "minimize(f0, x0=[1, 2, 3]).x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Styles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Basado en:\n",
    "\n",
    "https://pandas.pydata.org/pandas-docs/stable/user_guide/style.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.329212</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.316280</td>\n",
       "      <td>-0.990810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.070816</td>\n",
       "      <td>-1.438713</td>\n",
       "      <td>0.564417</td>\n",
       "      <td>0.295722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>-1.626404</td>\n",
       "      <td>0.219565</td>\n",
       "      <td>0.678805</td>\n",
       "      <td>1.889273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.961538</td>\n",
       "      <td>0.104011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.850229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.453425</td>\n",
       "      <td>1.057737</td>\n",
       "      <td>0.165562</td>\n",
       "      <td>0.515018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>-1.336936</td>\n",
       "      <td>0.562861</td>\n",
       "      <td>1.392855</td>\n",
       "      <td>-0.063328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>0.121668</td>\n",
       "      <td>1.207603</td>\n",
       "      <td>-0.002040</td>\n",
       "      <td>1.627796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>0.354493</td>\n",
       "      <td>1.037528</td>\n",
       "      <td>-0.385684</td>\n",
       "      <td>0.519818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.686583</td>\n",
       "      <td>-1.325963</td>\n",
       "      <td>1.428984</td>\n",
       "      <td>-2.089354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>-0.129820</td>\n",
       "      <td>0.631523</td>\n",
       "      <td>-0.586538</td>\n",
       "      <td>0.290720</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      A         B         C         D         E\n",
       "0   1.0  1.329212       NaN -0.316280 -0.990810\n",
       "1   2.0 -1.070816 -1.438713  0.564417  0.295722\n",
       "2   3.0 -1.626404  0.219565  0.678805  1.889273\n",
       "3   4.0  0.961538  0.104011       NaN  0.850229\n",
       "4   5.0  1.453425  1.057737  0.165562  0.515018\n",
       "5   6.0 -1.336936  0.562861  1.392855 -0.063328\n",
       "6   7.0  0.121668  1.207603 -0.002040  1.627796\n",
       "7   8.0  0.354493  1.037528 -0.385684  0.519818\n",
       "8   9.0  1.686583 -1.325963  1.428984 -2.089354\n",
       "9  10.0 -0.129820  0.631523 -0.586538  0.290720"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.random.seed(24)\n",
    "df = pd.DataFrame({'A': np.linspace(1, 10, 10)})\n",
    "df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],\n",
    "               axis=1)\n",
    "df.iloc[3, 3] = np.nan\n",
    "df.iloc[0, 2] = np.nan\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "            color:  red;\n",
       "        }</style><table id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_66e2f960_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03d506c780>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def color_negative_red(val):\n",
    "    color = 'red' if val < 0 else 'black'\n",
    "    return 'color: %s' % color\n",
    "\n",
    "df.style.applymap(color_negative_red)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_66e76248_2b84_11ec_a3a8_0242ac110002row2_col4,#T_66e76248_2b84_11ec_a3a8_0242ac110002row6_col2,#T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col1,#T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col3,#T_66e76248_2b84_11ec_a3a8_0242ac110002row9_col0{\n",
       "            background-color:  yellow;\n",
       "        }</style><table id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_66e76248_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb79dc50>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def highlight_max(s):\n",
    "    is_max = s == s.max()\n",
    "    return ['background-color: yellow' if v else '' for v in is_max]\n",
    "\n",
    "df.style.apply(highlight_max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col0,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col4{\n",
       "            color:  black;\n",
       "        }#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col3{\n",
       "            color:  red;\n",
       "        }#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col4,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col2,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col1,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col3,#T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col0{\n",
       "            color:  black;\n",
       "            background-color:  yellow;\n",
       "        }</style><table id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_66ed91fe_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb79d898>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.\\\n",
    "    applymap(color_negative_red).\\\n",
    "    apply(highlight_max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_66f1e04c_2b84_11ec_a3a8_0242ac110002row6_col2,#T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col1,#T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col3{\n",
       "            background-color:  yellow;\n",
       "        }</style><table id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_66f1e04c_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb73fac8>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.apply(highlight_max, subset=['B', 'C', 'D'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col1,#T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col1{\n",
       "            color:  red;\n",
       "        }#T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col3,#T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col1,#T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col3,#T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col1,#T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col3,#T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col3{\n",
       "            color:  black;\n",
       "        }</style><table id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_66f58f30_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb790ba8>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.applymap(color_negative_red, subset=pd.IndexSlice[2:5, [\"B\", \"D\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >100.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >132.92%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-31.63%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-99.08%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >200.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-107.08%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-143.87%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >56.44%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >29.57%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >300.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-162.64%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >21.96%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >67.88%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >188.93%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >400.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >96.15%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >10.40%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >85.02%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >500.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >145.34%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >105.77%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >16.56%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >51.50%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >600.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-133.69%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >56.29%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >139.29%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-6.33%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >700.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >12.17%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >120.76%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.20%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >162.78%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >800.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >35.45%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >103.75%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-38.57%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >51.98%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >900.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >168.66%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-132.60%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >142.90%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-208.94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >1000.00%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-12.98%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >63.15%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-58.65%</td>\n",
       "                        <td id=\"T_66f7e3de_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >29.07%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb790c18>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.format(\"{:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.32</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-100</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >+0.56</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-200</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >+0.68</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >1000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >+nan</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >+0.17</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-100</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >+1.39</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.00</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.39</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >2000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >+1.43</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-000</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.59</td>\n",
       "                        <td id=\"T_66fabb90_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03d506c518>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.format({'B': \"{:0<4.0f}\", 'D': '{:+.2f}'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >±1.33</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >±1.07</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >±1.63</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >±0.96</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >±1.45</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >±1.34</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >±0.12</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >±0.35</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >±1.69</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >±0.13</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_66fd440a_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb790f28>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.format({\"B\": lambda x: \"±{:.2f}\".format(abs(x))})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >100.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >132.92%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >-</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-31.63%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-99.08%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >200.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-107.08%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-143.87%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >56.44%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >29.57%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >300.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-162.64%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >21.96%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >67.88%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >188.93%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >400.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >96.15%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >10.40%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >-</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >85.02%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >500.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >145.34%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >105.77%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >16.56%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >51.50%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >600.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-133.69%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >56.29%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >139.29%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-6.33%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >700.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >12.17%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >120.76%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.20%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >162.78%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >800.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >35.45%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >103.75%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-38.57%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >51.98%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >900.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >168.66%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-132.60%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >142.90%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-208.94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >1000.00%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-12.98%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >63.15%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-58.65%</td>\n",
       "                        <td id=\"T_66ffb4f6_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >29.07%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb790c50>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.format(\"{:.2%}\", na_rep=\"-\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_670449f8_2b84_11ec_a3a8_0242ac110002row0_col2,#T_670449f8_2b84_11ec_a3a8_0242ac110002row3_col3{\n",
       "            background-color:  red;\n",
       "        }</style><table id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_670449f8_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03cb73f710>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.highlight_null(null_color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
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       "            background-color:  #ebf3eb;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col1{\n",
       "            background-color:  #198c19;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col2,#T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col3{\n",
       "            background-color:  #000000;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col3{\n",
       "            background-color:  #cbe4cb;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col4{\n",
       "            background-color:  #aad3aa;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col0{\n",
       "            background-color:  #d1e6d1;\n",
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       "            background-color:  #c4e0c4;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col3{\n",
       "            background-color:  #64b164;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col4,#T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col1,#T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col4{\n",
       "            background-color:  #5eae5e;\n",
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       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col0{\n",
       "            background-color:  #b7dab7;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col2,#T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col3{\n",
       "            background-color:  #57ab57;\n",
       "            color:  #000000;\n",
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       "            background-color:  #008000;\n",
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       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col0{\n",
       "            background-color:  #9ccd9c;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col1,#T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col0{\n",
       "            background-color:  #349934;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col2{\n",
       "            background-color:  #61b061;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col4{\n",
       "            background-color:  #3d9e3d;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col0{\n",
       "            background-color:  #83c083;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col1{\n",
       "            background-color:  #118811;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col2{\n",
       "            background-color:  #0d860d;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col3{\n",
       "            background-color:  #93c893;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col4,#T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col4{\n",
       "            background-color:  #51a851;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col0{\n",
       "            background-color:  #68b368;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col1{\n",
       "            background-color:  #d6e9d6;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col2{\n",
       "            background-color:  #399c39;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col3{\n",
       "            background-color:  #048204;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col4{\n",
       "            background-color:  #73b873;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col0{\n",
       "            background-color:  #4ea64e;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col1{\n",
       "            background-color:  #6eb66e;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col3{\n",
       "            background-color:  #a6d2a6;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col4,#T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col2{\n",
       "            background-color:  #0f870f;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col3{\n",
       "            background-color:  #d4e8d4;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col0{\n",
       "            background-color:  #1a8d1a;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col2{\n",
       "            background-color:  #e1eee1;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col1{\n",
       "            background-color:  #81bf81;\n",
       "            color:  #000000;\n",
       "        }#T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col2{\n",
       "            background-color:  #339933;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_6733d272_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c9138748>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "cm = sns.light_palette(\"green\", as_cmap=True)\n",
    "\n",
    "df.style.background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
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       "            background-color:  #440154;\n",
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       "            background-color:  #e5e419;\n",
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       "            background-color:  #000000;\n",
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       "            color:  #000000;\n",
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       "            background-color:  #95d840;\n",
       "            color:  #000000;\n",
       "        }#T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col2{\n",
       "            background-color:  #26ad81;\n",
       "            color:  #000000;\n",
       "        }#T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col4{\n",
       "            background-color:  #2cb17e;\n",
       "            color:  #000000;\n",
       "        }#T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col3{\n",
       "            background-color:  #228c8d;\n",
       "            color:  #000000;\n",
       "        }#T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col4{\n",
       "            background-color:  #1f958b;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_673a3bee_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c88a2588>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[:4].style.background_gradient(cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  yellow;\n",
       "        }</style><table id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
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       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
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       "            <tr>\n",
       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
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       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
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       "            <tr>\n",
       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
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       "            <tr>\n",
       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
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       "            <tr>\n",
       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
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       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_673eeb76_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c88a21d0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.highlight_max(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
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       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
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       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_6742a48c_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c88c2ac8>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.bar(subset=['A', 'B'], color='#d65f5f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
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       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
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       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_6746ecea_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c8857908>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.bar(subset=['A', 'B'], align='mid', color=['#d65f5f', '#5fba7d'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><table id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col2\" >C</th>        <th class=\"col_heading level0 col3\" >D</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
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       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
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       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "                        <td id=\"T_6749a21e_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c8857eb8>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.hide_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >A</th>        <th class=\"col_heading level0 col1\" >B</th>        <th class=\"col_heading level0 col4\" >E</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "                                        <td id=\"T_674c40aa_2b84_11ec_a3a8_0242ac110002row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f03c8857240>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.hide_columns(['C','D'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}