Sesion-05/Ejemplo-03/vectorizacion_con_dataframes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ejemplo 3: Funciones vectorizadas y agregaciones con `DataFrames`\n",
    "\n",
    "### 1. Objetivos:\n",
    "    - Aprender cómo usar Funciones vectorizadas y agregaciones aplicadas a `DataFrames` completos\n",
    " \n",
    "---\n",
    "    \n",
    "### 2. Desarrollo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tenemos el siguiente dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "datos = {\n",
    "    'precio': [34, 54, 223, 78, 56, 12, 34],\n",
    "    'cantidad_en_stock': [3, 6, 10, 2, 5, 45, 2],\n",
    "    'productos_vendidos': [3, 45, 23, 76, 24, 6, 2]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(datos, index=[\"Pokemaster\", \"Cegatron\", \"Pikame Mucho\", \"Lazarillo de Tormes\", \"Stevie Wonder\", \"Needle\", \"El AyMeDuele\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>precio</th>\n",
       "      <th>cantidad_en_stock</th>\n",
       "      <th>productos_vendidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pokemaster</th>\n",
       "      <td>34</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cegatron</th>\n",
       "      <td>54</td>\n",
       "      <td>6</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pikame Mucho</th>\n",
       "      <td>223</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazarillo de Tormes</th>\n",
       "      <td>78</td>\n",
       "      <td>2</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stevie Wonder</th>\n",
       "      <td>56</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Needle</th>\n",
       "      <td>12</td>\n",
       "      <td>45</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El AyMeDuele</th>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     precio  cantidad_en_stock  productos_vendidos\n",
       "Pokemaster               34                  3                   3\n",
       "Cegatron                 54                  6                  45\n",
       "Pikame Mucho            223                 10                  23\n",
       "Lazarillo de Tormes      78                  2                  76\n",
       "Stevie Wonder            56                  5                  24\n",
       "Needle                   12                 45                   6\n",
       "El AyMeDuele             34                  2                   2"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si aplicamos operaciones aritméticas a nuestro `DataFrame` la operación se aplicará elemento por elemento a nuestro `DataFrame` completo:"
   ]
  },
  {
   "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>precio</th>\n",
       "      <th>cantidad_en_stock</th>\n",
       "      <th>productos_vendidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pokemaster</th>\n",
       "      <td>3400</td>\n",
       "      <td>300</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cegatron</th>\n",
       "      <td>5400</td>\n",
       "      <td>600</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pikame Mucho</th>\n",
       "      <td>22300</td>\n",
       "      <td>1000</td>\n",
       "      <td>2300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazarillo de Tormes</th>\n",
       "      <td>7800</td>\n",
       "      <td>200</td>\n",
       "      <td>7600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stevie Wonder</th>\n",
       "      <td>5600</td>\n",
       "      <td>500</td>\n",
       "      <td>2400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Needle</th>\n",
       "      <td>1200</td>\n",
       "      <td>4500</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El AyMeDuele</th>\n",
       "      <td>3400</td>\n",
       "      <td>200</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     precio  cantidad_en_stock  productos_vendidos\n",
       "Pokemaster             3400                300                 300\n",
       "Cegatron               5400                600                4500\n",
       "Pikame Mucho          22300               1000                2300\n",
       "Lazarillo de Tormes    7800                200                7600\n",
       "Stevie Wonder          5600                500                2400\n",
       "Needle                 1200               4500                 600\n",
       "El AyMeDuele           3400                200                 200"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df * 100"
   ]
  },
  {
   "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>precio</th>\n",
       "      <th>cantidad_en_stock</th>\n",
       "      <th>productos_vendidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pokemaster</th>\n",
       "      <td>67.0</td>\n",
       "      <td>51.5</td>\n",
       "      <td>51.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cegatron</th>\n",
       "      <td>77.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>72.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pikame Mucho</th>\n",
       "      <td>161.5</td>\n",
       "      <td>55.0</td>\n",
       "      <td>61.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazarillo de Tormes</th>\n",
       "      <td>89.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stevie Wonder</th>\n",
       "      <td>78.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Needle</th>\n",
       "      <td>56.0</td>\n",
       "      <td>72.5</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El AyMeDuele</th>\n",
       "      <td>67.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     precio  cantidad_en_stock  productos_vendidos\n",
       "Pokemaster             67.0               51.5                51.5\n",
       "Cegatron               77.0               53.0                72.5\n",
       "Pikame Mucho          161.5               55.0                61.5\n",
       "Lazarillo de Tormes    89.0               51.0                88.0\n",
       "Stevie Wonder          78.0               52.5                62.0\n",
       "Needle                 56.0               72.5                53.0\n",
       "El AyMeDuele           67.0               51.0                51.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df + 100) / 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "También podemos aplicar funciones vectorizadas con el mismo resultado:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "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>precio</th>\n",
       "      <th>cantidad_en_stock</th>\n",
       "      <th>productos_vendidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pokemaster</th>\n",
       "      <td>1156</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cegatron</th>\n",
       "      <td>2916</td>\n",
       "      <td>36</td>\n",
       "      <td>2025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pikame Mucho</th>\n",
       "      <td>49729</td>\n",
       "      <td>100</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazarillo de Tormes</th>\n",
       "      <td>6084</td>\n",
       "      <td>4</td>\n",
       "      <td>5776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stevie Wonder</th>\n",
       "      <td>3136</td>\n",
       "      <td>25</td>\n",
       "      <td>576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Needle</th>\n",
       "      <td>144</td>\n",
       "      <td>2025</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El AyMeDuele</th>\n",
       "      <td>1156</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     precio  cantidad_en_stock  productos_vendidos\n",
       "Pokemaster             1156                  9                   9\n",
       "Cegatron               2916                 36                2025\n",
       "Pikame Mucho          49729                100                 529\n",
       "Lazarillo de Tormes    6084                  4                5776\n",
       "Stevie Wonder          3136                 25                 576\n",
       "Needle                  144               2025                  36\n",
       "El AyMeDuele           1156                  4                   4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.power(df, 2)"
   ]
  },
  {
   "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",
       "    }\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>precio</th>\n",
       "      <th>cantidad_en_stock</th>\n",
       "      <th>productos_vendidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pokemaster</th>\n",
       "      <td>5.830952</td>\n",
       "      <td>1.732051</td>\n",
       "      <td>1.732051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cegatron</th>\n",
       "      <td>7.348469</td>\n",
       "      <td>2.449490</td>\n",
       "      <td>6.708204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pikame Mucho</th>\n",
       "      <td>14.933185</td>\n",
       "      <td>3.162278</td>\n",
       "      <td>4.795832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazarillo de Tormes</th>\n",
       "      <td>8.831761</td>\n",
       "      <td>1.414214</td>\n",
       "      <td>8.717798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stevie Wonder</th>\n",
       "      <td>7.483315</td>\n",
       "      <td>2.236068</td>\n",
       "      <td>4.898979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Needle</th>\n",
       "      <td>3.464102</td>\n",
       "      <td>6.708204</td>\n",
       "      <td>2.449490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El AyMeDuele</th>\n",
       "      <td>5.830952</td>\n",
       "      <td>1.414214</td>\n",
       "      <td>1.414214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        precio  cantidad_en_stock  productos_vendidos\n",
       "Pokemaster            5.830952           1.732051            1.732051\n",
       "Cegatron              7.348469           2.449490            6.708204\n",
       "Pikame Mucho         14.933185           3.162278            4.795832\n",
       "Lazarillo de Tormes   8.831761           1.414214            8.717798\n",
       "Stevie Wonder         7.483315           2.236068            4.898979\n",
       "Needle                3.464102           6.708204            2.449490\n",
       "El AyMeDuele          5.830952           1.414214            1.414214"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sqrt(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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",
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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>precio</th>\n",
       "      <th>cantidad_en_stock</th>\n",
       "      <th>productos_vendidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pokemaster</th>\n",
       "      <td>100.529083</td>\n",
       "      <td>100.141120</td>\n",
       "      <td>100.141120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cegatron</th>\n",
       "      <td>99.441211</td>\n",
       "      <td>99.720585</td>\n",
       "      <td>100.850904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pikame Mucho</th>\n",
       "      <td>100.053053</td>\n",
       "      <td>99.455979</td>\n",
       "      <td>99.153780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazarillo de Tormes</th>\n",
       "      <td>100.513978</td>\n",
       "      <td>100.909297</td>\n",
       "      <td>100.566108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stevie Wonder</th>\n",
       "      <td>99.478449</td>\n",
       "      <td>99.041076</td>\n",
       "      <td>99.094422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Needle</th>\n",
       "      <td>99.463427</td>\n",
       "      <td>100.850904</td>\n",
       "      <td>99.720585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El AyMeDuele</th>\n",
       "      <td>100.529083</td>\n",
       "      <td>100.909297</td>\n",
       "      <td>100.909297</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         precio  cantidad_en_stock  productos_vendidos\n",
       "Pokemaster           100.529083         100.141120          100.141120\n",
       "Cegatron              99.441211          99.720585          100.850904\n",
       "Pikame Mucho         100.053053          99.455979           99.153780\n",
       "Lazarillo de Tormes  100.513978         100.909297          100.566108\n",
       "Stevie Wonder         99.478449          99.041076           99.094422\n",
       "Needle                99.463427         100.850904           99.720585\n",
       "El AyMeDuele         100.529083         100.909297          100.909297"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sin(df) + 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si usamos agregaciones, las agregaciones se hacen de manera automática por columna:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "precio                491\n",
       "cantidad_en_stock      73\n",
       "productos_vendidos    179\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aunque podemos cambiar ese comportamiento usando `axis=1` para hacerlo por fila:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pokemaster              40\n",
       "Cegatron               105\n",
       "Pikame Mucho           256\n",
       "Lazarillo de Tormes    156\n",
       "Stevie Wonder           85\n",
       "Needle                  63\n",
       "El AyMeDuele            38\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sum(axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todas las demás agregaciones funcionan también. El default (o `axis=0`) es hacerlo por columna, pero todas pueden funcionar por fila usando `axis=1`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "precio                12\n",
       "cantidad_en_stock      2\n",
       "productos_vendidos     2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pokemaster              3\n",
       "Cegatron                6\n",
       "Pikame Mucho           10\n",
       "Lazarillo de Tormes     2\n",
       "Stevie Wonder           5\n",
       "Needle                  6\n",
       "El AyMeDuele            2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.min(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "precio                223\n",
       "cantidad_en_stock      45\n",
       "productos_vendidos     76\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pokemaster              34\n",
       "Cegatron                54\n",
       "Pikame Mucho           223\n",
       "Lazarillo de Tormes     78\n",
       "Stevie Wonder           56\n",
       "Needle                  45\n",
       "El AyMeDuele            34\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.max(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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