Mamografia_branca_RJ.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#importar o mat \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#colocar o conjunto de dados que vai plotar os dados \n",
    "labels = [2019, 2020, 2021, 2022, 2023]\n",
    "vals = [30.225, 20.706, 39.563, 61.367, 97.637]\n",
    "\n",
    "#construção dos gráficos\n",
    "fig, ax = plt.subplots(figsize= (8, 8))\n",
    "\n",
    "# tipo do gráfico\n",
    "ax.bar(labels, vals)\n",
    "\n",
    "#nome do titulo 1 em cima no meio\n",
    "ax.set_title('Número de mamografias realizadas pela população branca no RJ', fontsize=13)\n",
    "#nome do titulo 2 na vertical lado esquerdo\n",
    "ax.set_ylabel( \"Pacientes (valores entre 0 a 97.637 mil)\" , fontsize=13 )\n",
    "# titulo embaixo no meio\n",
    "ax.set_xlabel( 'Ano' , fontsize=13 )\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}