P33: Gráfico de barras agrupadas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b703adfb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#P33: Gráfico de barras agrupadas\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "674a73c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({\"mulheres\": [40, 10, 30],\n",
    "                  \"homens\": [30, 15, 20],\n",
    "                  }, index=[\"teatro\", \"escultura\", \"pintura\"])\n",
    "\n",
    "barras = df.plot(kind=\"bar\", legend=True, color=[\"yellow\", \"blue\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23a6d875",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}