{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4a86ee8c-7c0b-4c22-af77-ed3047d9dc22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product</th>\n",
       "      <th>price</th>\n",
       "      <th>wpu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pomme</td>\n",
       "      <td>1.99</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>poire</td>\n",
       "      <td>2.49</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>banane</td>\n",
       "      <td>2.99</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pêche</td>\n",
       "      <td>3.49</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  product  price  wpu\n",
       "0   pomme   1.99  200\n",
       "1   poire   2.49  180\n",
       "2  banane   2.99  140\n",
       "3   pêche   3.49  200"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='product'>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = pd.DataFrame(data={\n",
    "    \"product\": [\"pomme\", \"poire\", \"banane\", \"pêche\"],\n",
    "    \"price\": [1.99, 2.49, 2.99, 3.49],\n",
    "    \"wpu\": [200, 180, 140, 200]\n",
    "})\n",
    "display(data)\n",
    "display(data.plot.bar(x=\"product\", y=\"price\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7d1ba1d-2c90-4e35-a44d-f717f26911c6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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