introducao_matplotlib.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "introducao-matplotlib",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "8ciDrdnJCvlu"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "pHbZifhcC5Gy",
        "outputId": "305eb80c-c57d-4948-d233-43d7c906aabf"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {},
          "execution_count": 2
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot([1, 2, 3, 4, 5])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "YGbL4H0fC8VZ",
        "outputId": "7ec0bfb9-d84a-439b-89f6-7e49228439a3"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f25519e4710>]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deXxUhbnG8d8LhB3CDmEJYV+DCgFUrHsVkIKordRq3am2drFXAcWF4ka1tbV1oVTrhWqtbVhEQVGL+0IFlCysYd8DRMIayPLePzLtTdMAE5jkTCbP9/PJh5k5h5zHI/NwODnzHnN3RESk6qsRdAAREYkMFbqISIxQoYuIxAgVuohIjFChi4jEiFpBbbhFixaelJQU1OZFRKqkJUuW7Hb3lmUtC6zQk5KSWLx4cVCbFxGpksxs47GW6ZSLiEiMUKGLiMQIFbqISIxQoYuIxAgVuohIjAir0M1sg5mlm9lXZvZfl6ZYsd+ZWZaZpZlZ/8hHFRGR4ynPZYsXuPvuYywbBnQLfQ0Gngv9KiIilSRSp1xGATO82OdAEzNLiND3FhGJCfmFRTz7fhbLNu+tkO8fbqE78LaZLTGzsWUsbwdsLvF8S+i1/2BmY81ssZkt3rVrV/nTiohUURlbc7n8mU94/K1VvJmxo0K2Ee4pl3PcfauZtQLeMbOV7v5heTfm7tOAaQApKSm6s4aIxLy8/EJ+v3ANUz9YR9P6tXnue/0ZllwxJzDCKnR33xr6NdvMZgODgJKFvhXoUOJ5+9BrIiLV1uINOYybmca6XQf59oD23HdZb+Lrx1XY9k5Y6GbWAKjh7vtDjy8BJpdabS5wh5n9leIfhua6+/aIpxURqQIOHCngibdWMuPzjbSNr8eMmwZxbvcy52lFVDhH6K2B2Wb2r/X/4u5vmdltAO4+FZgPDAeygEPAjRUTV0Qkun2wehf3zkpnW+5hrj8ribsv7UGDOpUzB/GEW3H3dcBpZbw+tcRjB34U2WgiIlXH3kNHeeiNFcxcuoUuLRvw9x+cRUpSs0rNENj4XBGRWPFm+nbufy2TvYeOcscFXbnjwq7UjatZ6TlU6CIiJyl7Xx4PvJbJW5k76NuuMdNvGkiftvGB5VGhi4iUk7vz9yVbePiN5eQVFDF+aE9u/UYnatUMdjyWCl1EpBw25xzi3tnpfLRmN4OSmjHlymQ6t2wYdCxAhS4iEpbCImfGZxt4YsEqDHjo8r58b1AiNWpY0NH+TYUuInICWdn7GZeaxtJNezm/R0seGZ1Muyb1go71X1ToIiLHkF9YxB8+WMvv/pFF/To1+c3Vp3H56e0IfS4n6qjQRUTKkL4ll7tTl7Fyx34u65fAL0b2oUXDOkHHOi4VuohICXn5hfz23TX88aN1NG9Qmz9cN4BL+7QJOlZYVOgiIiGL1u1hwqx01u8+yJiBHbhneC/i61XcMK1IU6GLSLW3Py+fX761kpc+30SHZvV4+ZbBDOnaIuhY5aZCF5Fq7b2V2Uycnc72fXncfE4n/ueS7tSvXTWrsWqmFhE5RTkHj/LQG8uZ/eVWurVqyMzbz6Z/YtOgY50SFbqIVCvuzrz07Tz4Wia5h/P5yUXd+NEFXahTq/KHaUWaCl1Eqo2d+/K4b04G7yzfSb/28bx0y2B6JTQOOlbEqNBFJOa5O69+sZlH5q/gaEERE4f34sYhSYEP04q0sAvdzGoCi4Gt7j6i1LIbgCf4//uIPu3uz0cqpIjIydq05xATZqXx6do9DO7UjF9e2Y+kFg2CjlUhynOE/lNgBXCsf5+86u53nHokEZFTV1jkvPjJen719ipq1ajBo6OTGTOwQ1QN04q0sArdzNoDlwGPAD+v0EQiIqdo9c7iYVpfbd7LhT1b8cjoviTER98wrUgL9wj9t8A4oNFx1rnSzM4FVgN3uvvm0iuY2VhgLEBiYmI5o4qIHN/RgiKee38tT7+3hkZ143hqzOmMPK1t1A7TirQT/kTAzEYA2e6+5DirvQ4kuXs/4B1gelkrufs0d09x95SWLVueVGARkbIs27yXb/3+Y37z7mqGJyfwzp3nMiqKJyNWhHCO0IcAI81sOFAXaGxmL7n7tf9awd33lFj/eeDxyMYUESnb4aOFPPnOKl74eD2tGtXl+e+ncHHv1kHHCsQJC93d7wHuATCz84G7SpZ56PUEd98eejqS4h+eiohUqM/W7mHCrDQ27jnENYMTmTCsJ43rVp1hWpF20tehm9lkYLG7zwV+YmYjgQIgB7ghMvFERP7bvrx8Hpu/klf+uYmOzevzl1sHc3aXqjdMK9LM3QPZcEpKii9evDiQbYtI1fWPFTuZODuD7P153PKNztx5cXfq1a76H9sPl5ktcfeUspbpk6IiUiXsOXCEX7y+nLnLttGzTSP+cN0ATuvQJOhYUUWFLiJRzd2Zu2wbk+ZmcuBIAXde3J3bz+9C7Vqx9bH9SFChi0jU2p57mPtmZ/CPldmc3qEJj1/Vj+6tj/dxmOpNhS4iUaeoyHnli008Nn8lBUVF3HdZL24c0omaMfyx/UhQoYtIVNmw+yATZqXx+boczu7SnClX9COxef2gY1UJKnQRiQoFhUX86ZP1/Prt1dSuVYNfXpnMd1I6VKtPep4qFbqIBG7F9n2Mn5lG2pZcvtm7NQ9f3pfWjesGHavKUaGLSGCOFBTyzHtrefa9LOLrxfH0NWdwWXKCjspPkgpdRAKxdNPXjE9NY032AUaf0Y4HRvSmaYPaQceq0lToIlKpDh0t4Ndvr+ZPn6wnoXFdXrxhIBf0bBV0rJigQheRSvNJ1m4mzEpjc85hrjuzI+OG9qBRNR6mFWkqdBGpcLmH83l03gpeXbyZTi0a8OrYMxncuXnQsWKOCl1EKtTbmTu4b04Gew4e5bbzuvCzi7tRN676DNOqTCp0EakQu/YfYdLrmcxL206vhMa8cP1AktvHBx0rpqnQRSSi3J3ZX25l8hvLOXSkkLsv7cHYczsTV1PDtCqaCl1EImbr3sNMnJ3O+6t20T+xeJhW11YaplVZwi50M6sJLAa2uvuIUsvqADOAAcAe4Gp33xDBnCISxYqKnJcXbWTKmytxYNK3enPdWUkaplXJynOE/lOK7xXauIxlNwNfu3tXMxsD/BK4OgL5RCTKrdt1gAkz0/nnhhy+0a0Fj45OpkMzDdMKQliFbmbtgcuAR4Cfl7HKKGBS6HEq8LSZmQd1fzsRqXAFhUX88aP1/Obd1dStVYMnrurHVQPa62P7AQr3CP23wDjgWCfD2gGbAdy9wMxygebA7pIrmdlYYCxAYmLiyeQVkSiQuS2X8TPTyNi6j6F92jB5VB9aaZhW4E5Y6GY2Ash29yVmdv6pbMzdpwHToPgm0afyvUSk8uXlF/L7hWuY+sE6mtavzXPf68+w5ISgY0lIOEfoQ4CRZjYcqAs0NrOX3P3aEutsBToAW8ysFhBP8Q9HRSRGLNmYw7jUNNbuOsiV/dtz/4heNKmvYVrR5ISF7u73APcAhI7Q7ypV5gBzgeuBz4CrgIU6fy4SGw4eKeCJBauY/tkG2sbXY/pNgzive8ugY0kZTvo6dDObDCx297nAC8CfzSwLyAHGRCifiATow9W7uGdWOttyD/P9Mzty99CeNKyjj69Eq3L9n3H394H3Q48fKPF6HvDtSAYTkeDkHsrnoXnLSV2yhc4tG/C3H5zFwKRmQceSE9BftSLyH97K2M79r2WSc/AoP7qgCz++UMO0qgoVuogAkL0/jwdfy+TNjB30aduY/71xIH3aaphWVaJCF6nm3J3UJVt4eN4KDucXMm5oD279hoZpVUUqdJFqbHPOIe6dnc5Ha3YzMKkpU67sR5eWDYOOJSdJhS5SDRUVOTM+28DjC1ZhwORRfbh2cEdqaJhWlaZCF6lmsrIPMGFmGos3fs253Vvy6Oi+tG+qYVqxQIUuUk3kFxYx7cN1PPXuGurVrsmvv30aV/Rvp2FaMUSFLlINZGzNZVxqGsu372N4cht+MbIvLRvVCTqWRJgKXSSG5eUX8tQ/1jDtw3U0a1CbqdcOYGjfNkHHkgqiQheJUV9syGF8ahrrdh/kOyntmTi8N/H144KOJRVIhS4SYw4cKeDxt1Yy47ONtG9aj5duHsw53VoEHUsqgQpdJIa8vyqbibMz2JZ7mBuHJHHXJT1ooGFa1Yb+T4vEgK8PHuWhecuZtXQrXVs1JPW2sxnQsWnQsaSSqdBFqjB3Z376Dh6cm8HeQ/n8+MKu3HFhV+rU0jCt6kiFLlJFZe/L4745Gby9fCfJ7eKZcdNgerdtHHQsCVA49xStC3wI1Amtn+ruD5Za5wbgCYpvRQfwtLs/H9moIgLFR+V/X7yFh+Yt52hBEfcM68nN53SiloZpVXvhHKEfAS509wNmFgd8bGZvuvvnpdZ71d3viHxEEfmXzTmHuGdWOh9n7WZQp2ZMuSKZzhqmJSHh3FPUgQOhp3GhL90vVKQSFRY50z/dwBMLVlGzhvHw5X25ZlCihmnJfwjrHLqZ1QSWAF2BZ9x9URmrXWlm5wKrgTvdfXMZ32csMBYgMTHxpEOLVCdrdu5n3Mw0vty0l/N7tOTR0cm0bVIv6FgShaz4ADzMlc2aALOBH7t7RonXmwMH3P2Imf0AuNrdLzze90pJSfHFixefZGyR2He0oIipH6zl6YVZNKhTkwe/1YdRp7fVMK1qzsyWuHtKWcvKe5PovWb2HjAUyCjx+p4Sqz0PPH4yQUWkWNqWvYxLTWPljv2M6JfApJF9aNFQw7Tk+MK5yqUlkB8q83rAN4Ffllonwd23h56OBFZEPKlINZCXX8hv3lnNHz9aR4uGdZh23QAu6aNhWhKecI7QE4DpofPoNYC/ufsbZjYZWOzuc4GfmNlIoADIAW6oqMAiserzdXuYMDONDXsO8d1BHZgwrBfx9TRMS8JXrnPokaRz6CLF9uflM+XNlby8aBOJzeoz5Ypkzu6qYVpStoidQxeRyFq4cicTZ2ewc18et5zTiZ9f0p36tfW2lJOjPzkiAcg5eJTJr2cy56ttdGvVkGdvP5szEjVMS06NCl2kErk7r6dtZ9LcTPYdzuenF3Xjhxd00TAtiQgVukgl2ZFbPEzr3RU76dc+nsdvHUzPNhqmJZGjQhepYO7OX7/YzKPzVnC0sIiJw3tx45AkDdOSiFOhi1SgjXsOMmFmOp+t28OZnZsx5Yp+JLVoEHQsiVEqdJEKUFjkvPjJen719iriatTg0dHJjBnYQcO0pEKp0EUibNWO4mFayzbv5aKerXh4dF8S4jVMSyqeCl0kQo4WFPHs+1k8814WjerG8dSY0xl5moZpSeVRoYtEwFeb9zI+NY1VO/cz6vS2PDCiN801TEsqmQpd5BQcPlrIk++s4oWP19OqUV2e/34KF/duHXQsqaZU6CIn6dO1u5kwM51NOYe4ZnAiE4b1pHFdDdOS4KjQRcppX14+j81fySv/3ETH5vX5y62DObuLhmlJ8FToIuXw7vKdTJyTzq79Rxh7bmfuvLg79WrrY/sSHVToImHYc+AIk15fzuvLttGzTSOmXZfCaR2aBB1L5D+o0EWOw92Zu2wbk+ZmcuBIAXde3J3bz+9C7Vr62L5En3BuQVcX+BCoE1o/1d0fLLVOHWAGMADYQ/FNojdEPK1IJdq29zD3zclg4cpsTu/QhMev6kf31o2CjiVyTOEcoR8BLnT3A2YWB3xsZm+6++cl1rkZ+Nrdu5rZGIrvOXp1BeQVqXBFRc4rX2zisfkrKSgq4r7LenHjkE7U1Mf2JcqdsNC9+B51B0JP40Jfpe9bNwqYFHqcCjxtZuZB3d9O5CSt332QCTPTWLQ+h7O7NGfKFf1IbF4/6FgiYQnrHHroBtFLgK7AM+6+qNQq7YDNAO5eYGa5QHNgd6nvMxYYC5CYmHhqyUUiqKCwiBc+Xs+T76ymds0aTLkimasHdtDH9qVKCavQ3b0QON3MmgCzzayvu2eUd2PuPg2YBsU3iS7v7xepCCu272P8zDTStuRyca/WPHx5X9rE1w06lki5lesqF3ffa2bvAUOBkoW+FegAbDGzWkA8xT8cFYlaRwoKeWZhFs++v5b4enE8fc0ZXJacoKNyqbLCucqlJZAfKvN6wDcp/qFnSXOB64HPgKuAhTp/LtFs6aavGZ+axprsA4w+ox0PjOhN0wa1g44lckrCOUJPAKaHzqPXAP7m7m+Y2WRgsbvPBV4A/mxmWUAOMKbCEoucgkNHC/jVgtW8+Ol62jSuy4s3DOSCnq2CjiUSEeFc5ZIGnFHG6w+UeJwHfDuy0UQi65Os3UyYlcbmnMNce2Yi44f2pJGGaUkM0SdFJeblHs7n0XkreHXxZjq1aMCrY89kcOfmQccSiTgVusS0BZk7uH9OBnsOHuW287rws4u7UTdOw7QkNqnQJSbt2n+ESXMzmZe+nV4JjXnh+oEkt48POpZIhVKhS0xxd2Z/uZXJbyzn0JFC7rqkOz84rwtxNTVMS2KfCl1ixta9h5k4O533V+2if2LxMK2urTRMS6oPFbpUeUVFzsuLNjLlzZUUOTz4rd58/6wkDdOSakeFLlXaul0HmDAznX9uyOGcri147IpkOjTTMC2pnlToUiUVFBbxx4/W85t3V1O3Vg0ev6of3x7QXh/bl2pNhS5VTua2XMbPTCNj6z4u7dOah0b1pVVjDdMSUaFLlZGXX8jvF65h6gfraFq/Ns99rz/DkhOCjiUSNVToUiUs2ZjDuNQ01u46yJX923P/iF40qa9hWiIlqdAlqh08UsATC1Yx/bMNtI2vx/SbBnFe95ZBxxKJSip0iVofrt7FPbPS2br3MNef1ZG7h/akYR39kRU5Fr07JOrkHsrnoXnLSV2yhc4tG/D3285iYFKzoGOJRD0VukSVtzK2c/9rmeQcPMoPz+/CTy7SMC2RcKnQJSpk78/jwdcyeTNjB70TGvPiDQPp207DtETKI5xb0HUAZgCtAQemuftTpdY5H3gNWB96aZa7T45sVIlF7k7qki08PG8Fh/MLufvSHow9t7OGaYmchHCO0AuA/3H3pWbWCFhiZu+4+/JS633k7iMiH1Fi1eacQ9w7O52P1uwmpWNTplzZj66tGgYdS6TKCucWdNuB7aHH+81sBdAOKF3oImEpKnJmfLaBxxesAuAXI/tw3ZkdqaFhWiKnpFzn0M0sieL7iy4qY/FZZrYM2Abc5e6ZZfz+scBYgMTExPJmlRiQlX2ACTPTWLzxa87t3pJHR/elfVMN0xKJhLAL3cwaAjOBn7n7vlKLlwId3f2AmQ0H5gDdSn8Pd58GTANISUnxk04tVU5+YRHTPlzHU++uoV7tmvz626dxRf92GqYlEkFhFbqZxVFc5i+7+6zSy0sWvLvPN7NnzayFu++OXFSpqjK25jIuNY3l2/cxPLkNvxjZl5aN6gQdSyTmhHOViwEvACvc/cljrNMG2OnubmaDgBrAnogmlSonL7+Qp/6xhmkfrqNZg9pMvbY/Q/tqmJZIRQnnCH0IcB2QbmZfhV67F0gEcPepwFXA7WZWABwGxri7TqlUY19syGF8ahrrdh/k2wPac99lvYmvHxd0LJGYFs5VLh8Dxz3R6e5PA09HKpRUXQeOFPD4WyuZ8dlG2jetx59vHsQ3ummYlkhl0CdFJWLeX5XNxNkZbMs9zI1Dkrjrkh400DAtkUqjd5ucsq8PHuWhecuZtXQrXVs1JPW2sxnQsWnQsUSqHRW6nDR3582MHTzwWgZ7D+Xz4wu7cseFXalTS8O0RIKgQpeTkr0vj/tfy2BB5k6S28Uz46bB9G7bOOhYItWaCl3Kxd35++ItPDxvOUcKipgwrCe3nNOJWhqmJRI4FbqEbXPOIe6Zlc7HWbsZ1KkZU65IpnNLDdMSiRYqdDmhwiJn+qcbeGLBKmrWMB6+vC/XDErUMC2RKKNCl+Nas3M/42emsXTTXs7v0ZJHRyfTtkm9oGOJSBlU6FKm/MIipr6/lt8vzKJBnZr89urTGXV6Ww3TEoliKnT5L+lbcrk7dRkrd+xnRL8EJo3sQ4uGGqYlEu1U6PJvefmF/Obd1fzxw3W0aFiHadcN4JI+bYKOJSJhUqELAIvW7WHCrHTW7z7Idwd1YMKwXsTX0zAtkapEhV7N7c/L55dvreSlzzeR2Kw+f7llMGd3bRF0LBE5CSr0auy9ldncOzudnfvyuOWcTvz8ku7Ur60/EiJVld691VDOwaNMfj2TOV9to1urhjx7+9mckahhWiJVXTh3LOoAzABaAw5Mc/enSq1jwFPAcOAQcIO7L418XDkV7s4baduZNDeT3MP5/PSibvzwgi4apiUSI8I5Qi8A/sfdl5pZI2CJmb3j7stLrDOM4ptCdwMGA8+FfpUosXNfHhNnZ/Duip30ax/Py7cOpmcbDdMSiSXh3LFoO7A99Hi/ma0A2gElC30UMCN027nPzayJmSWEfq8EyN159YvNPDJ/BfmFRUwc3osbhyRpmJZIDCrXOXQzSwLOABaVWtQO2Fzi+ZbQa/9R6GY2FhgLkJiYWL6kUm4b9xzknlnpfLp2D2d2bsaUK/qR1KJB0LFEpIKEXehm1hCYCfzM3fedzMbcfRowDSAlJUU3ka4ghUXOi5+s51dvryKuRg0eGd2X7w7UMC2RWBdWoZtZHMVl/rK7zypjla1AhxLP24dek0q2asd+xs1MY9nmvVzUsxUPj+5LQryGaYlUB+Fc5WLAC8AKd3/yGKvNBe4ws79S/MPQXJ0/r1xHC4p49v0snnkvi0Z143hqzOmMPE3DtESqk3CO0IcA1wHpZvZV6LV7gUQAd58KzKf4ksUsii9bvDHyUeVYlm3ey7jUNFbt3M+o09vywIjeNNcwLZFqJ5yrXD4GjnuYF7q65UeRCiXhOXy0kCffWcULH6+nVaO6vHB9Chf1ah10LBEJiD4pWkV9unY3E2amsynnENcMTmTCsJ40rqthWiLVmQq9itmXl89j81fyyj830bF5fV659UzO6tI86FgiEgVU6FXIu8t3MnFOOrv2H2HsuZ258+Lu1Kutj+2LSDEVehWw58ARfvH6cuYu20bPNo2Ydl0Kp3VoEnQsEYkyKvQo5u7MXbaNSXMzOXCkgJ9/szu3ndeF2rX0sX0R+W8q9Ci1be9h7puTwcKV2ZzeoQmPX9WP7q0bBR1LRKKYCj3KFBU5r3yxicfmr6SwyLl/RG9uODuJmvrYvoicgAo9iqzffZAJM9NYtD6HIV2b89jofiQ2rx90LBGpIlToUaCgsIg/fbKeX7+9mtq1avDLK5P5TkoHfWxfRMpFhR6wFdv3MX5mGmlbcvlm79Y8fHlfWjeuG3QsEamCVOgBOVJQyDMLs3j2/bXE14vj6WvO4LLkBB2Vi8hJU6EHYOmmrxmfmsaa7ANccUY77h/Rm6YNagcdS0SqOBV6JTp0tIBfLVjNi5+uJ6FxXV68cSAX9GgVdCwRiREq9ErySdZuJsxKY3POYa47syPjhvagkYZpiUgEqdArWO7hfB6dt4JXF2+mU4sGvDr2TAZ31jAtEYk8FXoFWpC5g/vnZLDn4FFuO68LP7u4G3XjNExLRCpGOLeg+xMwAsh2975lLD8feA1YH3pplrtPjmTIqmbX/iNMmpvJvPTt9EpozAvXDyS5fXzQsUQkxoVzhP6/wNPAjOOs85G7j4hIoirM3Zn95VYmv7GcQ0cKufvSHow9tzNxNTVMS0QqXji3oPvQzJIqPkrVtnXvYSbOTuf9Vbvon1g8TKtrKw3TEpHKE6lz6GeZ2TJgG3CXu2eWtZKZjQXGAiQmJkZo08EqKnJeXrSRKW+uxIFJ3+rNdWdpmJaIVL5IFPpSoKO7HzCz4cAcoFtZK7r7NGAaQEpKikdg24Fau+sAE2am8cWGr/lGtxY8OjqZDs00TEtEgnHKhe7u+0o8nm9mz5pZC3fffarfO1oVFBYx7aN1/PbdNdStVYMnrurHVQPa62P7IhKoUy50M2sD7HR3N7NBQA1gzykni1KZ23IZPzONjK37GNqnDZMv70OrRhqmJSLBC+eyxVeA84EWZrYFeBCIA3D3qcBVwO1mVgAcBsa4e5U/nVJaXn4hv1+4hqkfrKNp/do8973+DEtOCDqWiMi/hXOVy3dPsPxpii9rjFmLN+QwfmYaa3cd5Mr+7bl/RC+a1NcwLRGJLvqk6HEcPFLAEwtWMf2zDbSNr8f0mwZxXveWQccSESmTCv0YPly9i3tmpbMt9zDXn5XEXZf2oGEd7S4RiV5qqFL2HjrKw/NWkLpkC51bNuDvPziLlKRmQccSETkhFXoJb6Zv5/7XMvn60FF+dEEXfnyhhmmJSNWhQgey9+XxwGuZvJW5gz5tGzP9poH0aathWiJStVTrQnd3Upds4aE3lpNXUMS4oT249RsapiUiVVO1LfTNOYe4d3Y6H63ZzcCkpky5sh9dWjYMOpaIyEmrdoVeVOTM+GwDjy9YhQEPjerD9wZ3pIaGaYlIFVetCj0rez/jZ6azZOPXnNe9JY+M7kv7phqmJSKxoVoUen5hEX/4YC2/+0cW9evU5MnvnMboM9ppmJaIxJSYL/SMrbncnZrGiu37uCw5gUkj+9CyUZ2gY4mIRFzMFnpefiG/fXcNf/xoHc0a1GbqtQMY2rdN0LFERCpMTBb6P9fnMGFmGut2H+TqlA7cO7wX8fXjgo4lIlKhYqrQ9+fl8/hbq/jz5xtp37QeL908mHO6tQg6lohIpYiZQn9vVTYTZ6WzfV8eNw3pxF2Xdqd+7Zj5zxMROaEq33hfHzzKQ28sZ9aXW+naqiGpt53NgI5Ng44lIlLpwrlj0Z+AEUC2u/ctY7kBTwHDgUPADe6+NNJBS3N35qVv58HXMsk9nM9PLuzKjy7sSp1aGqYlItVTOEfo/0vxHYlmHGP5MKBb6Gsw8Fzo1wqzc18e98/J4O3lO0luF89LtwymV0LjitykiEjUC+cWdB+aWdJxVhkFzAjdR/RzM2tiZgnuvj1CGf/Deyuz+clfv+RoQRH3DOvJzed0opaGaYmIROQcejtgc4nnW0Kv/Vehm9lYYCxAYmLiSW2sU4sG9E9syqSRfejUosFJfQ8RkVhUqYe27j7N3VPcPaVlyyPTcycAAASnSURBVJO7N2dSiwZMv2mQylxEpJRIFPpWoEOJ5+1Dr4mISCWKRKHPBb5vxc4Ecivq/LmIiBxbOJctvgKcD7Qwsy3Ag0AcgLtPBeZTfMliFsWXLd5YUWFFROTYwrnK5bsnWO7AjyKWSEREToqu9xMRiREqdBGRGKFCFxGJESp0EZEYYcU/0wxgw2a7gI0n+dtbALsjGCdSojUXRG825Sof5SqfWMzV0d3L/GRmYIV+KsxssbunBJ2jtGjNBdGbTbnKR7nKp7rl0ikXEZEYoUIXEYkRVbXQpwUd4BiiNRdEbzblKh/lKp9qlatKnkMXEZH/VlWP0EVEpBQVuohIjIjqQjezoWa2ysyyzGxCGcvrmNmroeWLTnCrvMrMdYOZ7TKzr0Jft1RSrj+ZWbaZZRxjuZnZ70K508ysf5TkOt/MckvsrwcqIVMHM3vPzJabWaaZ/bSMdSp9f4WZq9L3V2i7dc3sn2a2LJTtF2WsU+nvyTBzBfWerGlmX5rZG2Usi/y+cveo/AJqAmuBzkBtYBnQu9Q6PwSmhh6PAV6Nklw3AE8HsM/OBfoDGcdYPhx4EzDgTGBRlOQ6H3ijkvdVAtA/9LgRsLqM/4+Vvr/CzFXp+yu0XQMahh7HAYuAM0utE8R7MpxcQb0nfw78paz/XxWxr6L5CH0QkOXu69z9KPBXim9IXdIoYHrocSpwkZlZFOQKhLt/COQcZ5V/39Db3T8HmphZQhTkqnTuvt3dl4Ye7wdWUHwv3JIqfX+FmSsQof1wIPQ0LvRV+qqKSn9Phpmr0plZe+Ay4PljrBLxfRXNhX6sm0+XuY67FwC5QPMoyAVwZeif6alm1qGM5UEIN3sQzgr9k/lNM+tTmRsO/VP3DIqP7EoKdH8dJxcEtL9CpxC+ArKBd9z9mPusEt+T4eSCyn9P/hYYBxQdY3nE91U0F3pV9jqQ5O79gHf4/7+FpWxLKZ5PcRrwe2BOZW3YzBoCM4Gfufu+ytruiZwgV2D7y90L3f10iu8dPMjM+lbWto8njFyV+p40sxFAtrsvqcjtlBbNhR7Ozaf/vY6Z1QLigT1B53L3Pe5+JPT0eWBABWcKV1Te0Nvd9/3rn8zuPh+IM7MWFb1dM4ujuDRfdvdZZawSyP46Ua6g9lepDHuB94ChpRYF8Z48Ya4A3pNDgJFmtoHi07IXmtlLpdaJ+L6K5kL/AuhmZp3MrDbFPzSYW2qducD1ocdXAQs99BOGIHOVOs86kuLzoNEgKm/obWZt/nXu0MwGUfznskJLILS9F4AV7v7kMVar9P0VTq4g9ldoWy3NrEnocT3gm8DKUqtV+nsynFyV/Z5093vcvb27J1HcEQvd/dpSq0V8X53wnqJBcfcCM7sDWEDxlSV/cvdMM5sMLHb3uRT/wf+zmWVR/EO3MVGS6ydmNhIoCOW6oaJzQfTe0DuMXFcBt5tZAXAYGFMJfzEPAa4D0kPnXgHuBRJL5Apif4WTK4j9BcVX4Ew3s5oU/yXyN3d/I+j3ZJi5AnlPllbR+0of/RcRiRHRfMpFRETKQYUuIhIjVOgiIjFChS4iEiNU6CIiMUKFLiISI1ToIiIx4v8AyBGl3O9sDOIAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x = [1, 2, 3, 4, 5]\n",
        "y = [10, 20, 30, 40, 50]\n",
        "\n",
        "plt.plot(x, y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "9glHai2LFPeA",
        "outputId": "da205685-7ca7-40d5-b439-9ccd07bee805"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# versão OO\n",
        "\n",
        "fig = plt.figure()\n",
        "ax = fig.add_subplot()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "2kPkohD8Geti",
        "outputId": "72da38d5-e5f3-47d2-c4b2-7a29f3c464cc"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure()\n",
        "ax = fig.add_axes([1, 1, 1, 1])\n",
        "ax.plot(x, y)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 336
        },
        "id": "Sg3ZUfZwH701",
        "outputId": "ed303ca8-c227-4c3d-9ed4-cbd37395755d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdIAAAE/CAYAAADyukJqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAXCElEQVR4nO3df7DldV3H8ed7YRMnMEZ3XTfW2y1raowIlhtjQ0OEPzLYASqHdBGhoW72Y9IU5ccfaZQzOpUouWA3UddSAVGCGC0Jl5iditrVFSmKNmfNZdbdzRZcJobc3Xd/3O/q8XLPnu+953zP+f54Pmbu3HPO93v2vD984b72db7fe4jMRJIkLc+KSQ8gSVKTGaSSJA3BIJUkaQgGqSRJQzBIJUkagkEqSdIQjh/ni61atSqnp6fH+ZKSJA1t+/bt/52ZqxfbNtYgnZ6eZtu2beN8SUmShhYRX+m3zbd2JUkagkEqSdIQDFJJkoZgkEqSNASDVJKkIRikkiQNwSCVJGkIpX6PNCJ2AQeBw8ChzJyJiOcCtwHTwC7gksw8UM2YkiTV01Ia6c9k5umZOVPcvwa4LzN/CLivuC9JUqcM89buRcDm4vZm4OLhx5EkaXhPHzo8ttcqG6QJfDYitkfEbPHYmszcU9z+GrBm5NNJkrQEhw4fYdOWnbzs3X/HE//7zbG8ZtnP2v2pzHwsIp4P3BsR/9a7MTMzInKxJxbBOwswNTU11LCSJPXz6N6DvOUTX+SLu5/g/B97AUdy0VgauVJBmpmPFd/3RcSdwFnA3ohYm5l7ImItsK/Pc+eAOYCZmZnxrEqS1BmHDh/hTx/4Mu/92//gxBOOZ9PG9Vxw2tqxvf7AII2I7wZWZObB4vYrgOuBu4HLgXcW3++qclBJkhZa2EKvv+hUVp34rLHOUKaRrgHujIij+38sM/86Iv4ZuD0irgS+AlxS3ZiSJH3bpFtor4FBmplfBn58kce/Dry0iqEkSeqnDi2011j/x96SJC1XnVpoL4NUklR7dWuhvQxSSVJt1bWF9jJIJUm1VOcW2ssglSTVShNaaC+DVJJUG01pob0MUknSxDWthfYySCVJE9XEFtrLIJUkTUSTW2gvg1SSNHZNb6G9DFJJ0ti0pYX2MkglSWPRphbayyCVJFWqjS20l0EqSapMW1toL4NUkjRybW+hvQxSSdJIdaGF9jJIJUkj0aUW2ssglSQNrWsttJdBKklatq620F4GqSRpWbrcQnsZpJKkJbGFfieDVJJUmi30mQxSSdJAttD+DFJJ0jHZQo+tdJBGxHHANuCxzNwQER8Gfhp4otjliszcMfoRJUmTYAstZymN9A3AI8Bzeh57S2beMdqRJEmTZgstr1SQRsQ64ALgHcCbKp1IkjQxttClK9tI3wO8FThpwePviIjfBe4DrsnMp0c5nCRpfGyhy7Ni0A4RsQHYl5nbF2y6FvgR4CeA5wJX93n+bERsi4ht+/fvH3ZeSdKIHTp8hE1bdrLhxq189cBTbNq4npsuPdMQLalMIz0buDAizgdOAJ4TEX+Rma8ttj8dER8CrlrsyZk5B8wBzMzM5AhmliSNiC10eAODNDOvZb59EhHnAldl5msjYm1m7omIAC4GHq50UknSyHgudHSG+T3Sj0bEaiCAHcDrRzOSJKlKttDRWlKQZub9wP3F7fMqmEeSVBFbaDX8ZCNJ6gBbaHUMUklqMVto9QxSSWopW+h4GKSS1DK20PEySCWpRWyh42eQSlIL2EInxyCVpIazhU6WQSpJDWULrQeDVJIayBZaHwapJDWILbR+DFJJaghbaD0ZpJJUc7bQejNIJanGbKH1Z5BKUg3ZQpvDIJWkmrGFNotBKkk1YQttJoNUkmrAFtpcBqkkTZAttPkMUkmaEFtoOxikkjRmttB2MUglaYxsoe1jkErSGNhC28sglaSK2ULbzSCVpIrYQruhdJBGxHHANuCxzNwQEd8P3Ao8D9gOXJaZ/1fNmJLULLbQ7lixhH3fADzSc/9dwA2Z+YPAAeDKUQ4mSU106PARNm3ZyYYbt/LVA0+xaeN6brr0TEO0xUoFaUSsAy4APlDcD+A84I5il83AxVUMKElN8ejeg/zizX/PH/7Nv/OyFz+fz/7OOb6V2wFl39p9D/BW4KTi/vOAxzPzUHF/N3DKYk+MiFlgFmBqamr5k0pSTXkutNsGBmlEbAD2Zeb2iDh3qS+QmXPAHMDMzEwueUJJqjHPhapMIz0buDAizgdOAJ4DvBc4OSKOL1rpOuCx6saUpHqxheqogUGamdcC1wIUjfSqzLw0Ij4BvIr5K3cvB+6qcE5Jqg1bqHoN83ukVwO3RsQfAF8AbhnNSJJUT7ZQLWZJQZqZ9wP3F7e/DJw1+pEkqX5soerHTzaSpGOwhWoQg1SS+rCFqgyDVJIWsIVqKQxSSephC9VSGaSShC1Uy2eQSuo8W6iGYZBK6ixbqEbBIJXUSbZQjYpBKqlTbKEaNYNUUmfYQlUFg1RS69lCVSWDVFKr2UJVNYNUUivZQjUuBqmk1rGFapwMUkmtYQvVJBikklrBFqpJMUglNZotVJNmkEpqLFuo6sAgldQ4tlDViUEqqVFsoaobg1RSI9hCVVcGqaTas4WqzgxSSbVlC1UTDAzSiDgBeAB4VrH/HZn5toj4MPDTwBPFrldk5o6qBpXULbZQNUWZRvo0cF5mPhkRK4GtEfGZYttbMvOO6saT1DW2UDXNwCDNzASeLO6uLL6yyqEkdZMtVE20osxOEXFcROwA9gH3ZuaDxaZ3RMRDEXFDRPhvu6RlOXT4CJu27GTDjVv56oGn2LRxPTddeqYhqkYodbFRZh4GTo+Ik4E7I+JU4Frga8B3AXPA1cD1C58bEbPALMDU1NSIxpbUFrZQNV2pRnpUZj4ObAFemZl7ct7TwIeAs/o8Zy4zZzJzZvXq1cNPLKkVbKFqizJX7a4GvpmZj0fEs4GXA++KiLWZuSciArgYeLjiWSW1hC1UbVLmrd21wOaIOI75Bnt7Zt4TEZ8rQjaAHcDrK5xTUgt4Ra7aqMxVuw8BZyzy+HmVTCSplWyhais/2UhSpWyhajuDVFJlbKHqAoNU0sjZQtUlBqmkkbKFqmsMUkkjYQtVVxmkkoZmC1WXGaSSlm1hC33fxjPYcNr3TnosaawMUknL0ttCf+7UF/D7F9tC1U0GqaQlsYVK38kglVSaLVR6JoNU0kC2UKk/g1TSMdlCpWMzSCUtyhYqlWOQSnoGW6hUnkEq6VtsodLSGaSSAFuotFwGqdRxtlBpOAap1GG2UGl4BqnUQbZQaXQMUqljbKHSaBmkUkfYQqVqGKRSB9hCpeoYpFKL2UKl6hmkUkvZQqXxGBikEXEC8ADwrGL/OzLzbRHx/cCtwPOA7cBlmfl/VQ4raTBbqDReZRrp08B5mflkRKwEtkbEZ4A3ATdk5q0R8X7gSuDmCmeVNIAtVBq/gUGamQk8WdxdWXwlcB6wsXh8M/B2DFJpImyh0uSUOkcaEccx//btDwKbgP8EHs/MQ8Uuu4FTKplQ0jHZQqXJKhWkmXkYOD0iTgbuBH6k7AtExCwwCzA1NbWcGSUtwhYq1cOSrtrNzMcjYgvwk8DJEXF80UrXAY/1ec4cMAcwMzOTQ84rCVuoVCdlrtpdDXyzCNFnAy8H3gVsAV7F/JW7lwN3VTmoJFuoVEdlGulaYHNxnnQFcHtm3hMR/wrcGhF/AHwBuKXCOaXOs4VK9VTmqt2HgDMWefzLwFlVDCXp22yhUr35yUZSjdlCpfozSKUasoVKzWGQSjVjC5WaxSCVasIWKjWTQSrVgC1Uai6DVJogW6jUfAapNCG2UKkdDFJpzGyhUrsYpNIY2UKl9jFIpTGwhUrtZZBKFbOFSu1mkEoVsYVK3WCQShWwhUrdYZBKI2QLlbrHIJVGxBYqdZNBKg3JFip1m0EqDcEWKskglZbBFirpKINUWiJbqKReBqlUki1U0mIMUqkEW6ikfgxS6RhsoZIGMUilPmyhksowSKUFbKGSlmJgkEbEC4GPAGuABOYy870R8XbgV4H9xa7XZeanqxpUGgdbqKSlKtNIDwFvzszPR8RJwPaIuLfYdkNm/lF140njYQuVtFwDgzQz9wB7itsHI+IR4JSqB5PG5dG9B7nqE1/kIVuopGVY0jnSiJgGzgAeBM4GfisiXgdsY761Hhj1gFJVbKGSRmFF2R0j4kTgk8AbM/MbwM3Ai4DTmW+sf9znebMRsS0itu3fv3+xXaSxe3TvQX7h5r/nD//m33nZi5/PZ3/nHENU0rKUaqQRsZL5EP1oZn4KIDP39mz/M+CexZ6bmXPAHMDMzEwOO7A0jIUtdNPG9Vxw2tpJjyWpwcpctRvALcAjmfnunsfXFudPAX4eeLiaEaXR6D0Xev6PvYDrL/JcqKThlWmkZwOXAV+KiB3FY9cBr4mI05n/lZhdwK9VMqE0JFuopCqVuWp3KxCLbPJ3RlV7tlBJVfOTjdRKtlBJ42KQqnVsoZLGySBVa9hCJU2CQapWsIVKmhSDVI1mC5U0aQapGssWKqkODFI1ji1UUp0YpGoUW6ikujFI1Qi2UEl1ZZCq9myhkurMIFVt2UIlNYFBqlqyhUpqCoNUtWILldQ0BqlqwxYqqYkMUk2cLVRSkxmkmihbqKSmM0g1EbZQSW1hkGrsbKGS2sQg1djYQiW1kUGqsbCFSmorg1SVsoVKajuDVJWxhUrqAoNUI2cLldQlBqlGyhYqqWsGBmlEvBD4CLAGSGAuM98bEc8FbgOmgV3AJZl5oLpRVWe2UEldVaaRHgLenJmfj4iTgO0RcS9wBXBfZr4zIq4BrgGurm5U1ZUtVFKXDQzSzNwD7CluH4yIR4BTgIuAc4vdNgP3Y5B2ii1UkpZ4jjQipoEzgAeBNUXIAnyN+bd+F3vOLDALMDU1tdw5VTO2UEmaVzpII+JE4JPAGzPzGxHxrW2ZmRGRiz0vM+eAOYCZmZlF91Fz2EIl6TuVCtKIWMl8iH40Mz9VPLw3ItZm5p6IWAvsq2pI1YMtVJKeqcxVuwHcAjySme/u2XQ3cDnwzuL7XZVMqImzhUpSf2Ua6dnAZcCXImJH8dh1zAfo7RFxJfAV4JJqRtQk2UIl6djKXLW7FYg+m1862nFUF7ZQSSrHTzbSM9hCJak8g1TfYguVpKUzSAXYQiVpuQzSjrOFStJwDNIOs4VK0vAM0g6yhUrS6BikHWMLlaTRMkg7whYqSdUwSDvAFipJ1TFIW8wWKknVM0hbyhYqSeNhkLaMLVSSxssgbRFbqCSNn0HaArZQSZocg7ThbKGSNFkGaUPZQiWpHgzSBrKFSlJ9GKQNYguVpPoxSBvCFipJ9WSQ1pwtVJLqzSCtMVuoJNWfQVpDtlBJag6DtGZsoZLULAODNCI+CGwA9mXmqcVjbwd+Fdhf7HZdZn66qiG7wBYqSc1UppF+GHgf8JEFj9+QmX808ok6yBYqSc01MEgz84GImK5+lO6xhUpS8w1zjvS3IuJ1wDbgzZl5YEQzdYItVJLaYcUyn3cz8CLgdGAP8Mf9doyI2YjYFhHb9u/f32+3zjh0+Aibtuxkw41b2X3gKTZtXM9Nl55piEpSQy2rkWbm3qO3I+LPgHuOse8cMAcwMzOTy3m9trCFSlL7LCtII2JtZu4p7v488PDoRmofz4VKUnuV+fWXjwPnAqsiYjfwNuDciDgdSGAX8GsVzthotlBJarcyV+2+ZpGHb6lgllaxhUpSN/jJRhWwhUpSdxikI2QLlaTuMUhHxBYqSd1kkA7JFipJ3WaQDsEWKkkySJfBFipJOsogXSJbqCSpl0Faki1UkrQYg7QEW6gkqR+D9BhsoZKkQQzSPmyhkqQyDNIFbKGSpKUwSHvYQiVJS2WQYguVJC1f54PUFipJGkZng9QWKkkahU4GqS1UkjQqnQpSW6gkadQ6E6S2UElSFVofpLZQSVKVWh2ktlBJUtVaGaS2UEnSuLQuSG2hkqRxak2Q2kIlSZMwMEgj4oPABmBfZp5aPPZc4DZgGtgFXJKZB6ob89hsoZKkSVlRYp8PA69c8Ng1wH2Z+UPAfcX9sTt0+Aibtuxkw41b2X3gKTZtXM9Nl55piEqSxmZgI83MByJiesHDFwHnFrc3A/cDV49wroFsoZKkOljuOdI1mbmnuP01YM2I5inlC/91gF/603/0XKgkaeKGvtgoMzMist/2iJgFZgGmpqaGfTkATlt3MrPn/ABXnD1tC5UkTVSZc6SL2RsRawGK7/v67ZiZc5k5k5kzq1evXubLfafjVgRX/ewPG6KSpIlbbpDeDVxe3L4cuGs040iS1CwDgzQiPg78A/DDEbE7Iq4E3gm8PCL+A3hZcV+SpM4pc9Xua/pseumIZ5EkqXGW+9auJEnCIJUkaSgGqSRJQzBIJUkagkEqSdIQDFJJkoZgkEqSNASDVJKkIURm38+bH/2LRewHvjLCP3IV8N8j/PMmwTXUg2uoB9dQD67hmb4vMxf9wPixBumoRcS2zJyZ9BzDcA314BrqwTXUg2tYGt/alSRpCAapJElDaHqQzk16gBFwDfXgGurBNdSDa1iCRp8jlSRp0preSCVJmqjaB2lEfDAi9kXEw322R0TcGBE7I+KhiFg/7hkHKbGGcyPiiYjYUXz97rhnHCQiXhgRWyLiXyPiXyLiDYvsU+tjUXINtT4WEXFCRPxTRHyxWMPvLbLPsyLituI4PBgR0+OftL+Sa7giIvb3HIdfmcSsg0TEcRHxhYi4Z5FttT4ORw1YQ+2PQ0TsiogvFfNtW2R79T+XMrPWX8A5wHrg4T7bzwc+AwTwEuDBSc+8jDWcC9wz6TkHrGEtsL64fRLwKPDiJh2Lkmuo9bEo/tmeWNxeCTwIvGTBPr8BvL+4/WrgtknPvYw1XAG8b9KzlljLm4CPLfbvTN2PQ8k11P44ALuAVcfYXvnPpdo30sx8APifY+xyEfCRnPePwMkRsXY805VTYg21l5l7MvPzxe2DwCPAKQt2q/WxKLmGWiv+2T5Z3F1ZfC280OEiYHNx+w7gpRERYxpxoJJrqL2IWAdcAHygzy61Pg5Qag1tUPnPpdoHaQmnAF/tub+bhv1wLPxk8VbXZyLiRyc9zLEUb1GdwXyT6NWYY3GMNUDNj0XxVtwOYB9wb2b2PQ6ZeQh4AnjeeKc8thJrAPjF4q24OyLihWMesYz3AG8FjvTZXvvjwOA1QP2PQwKfjYjtETG7yPbKfy61IUjb4PPMf/zUjwN/AvzlhOfpKyJOBD4JvDEzvzHpeZZjwBpqfywy83Bmng6sA86KiFMnPdNSlVjDXwHTmXkacC/fbna1EBEbgH2ZuX3SsyxXyTXU+jgUfioz1wM/B/xmRJwz7gHaEKSPAb1/S1pXPNYYmfmNo291ZeangZURsWrCYz1DRKxkPoA+mpmfWmSX2h+LQWtoyrEAyMzHgS3AKxds+tZxiIjjge8Bvj7e6crpt4bM/HpmPl3c/QBw5rhnG+Bs4MKI2AXcCpwXEX+xYJ+6H4eBa2jAcSAzHyu+7wPuBM5asEvlP5faEKR3A68rrsx6CfBEZu6Z9FBLEREvOHruJCLOYv641Ok/OIr5bgEeycx399mt1seizBrqfiwiYnVEnFzcfjbwcuDfFux2N3B5cftVwOeyuOqiDsqsYcE5rAuZP59dG5l5bWauy8xp5i8k+lxmvnbBbrU+DmXWUPfjEBHfHREnHb0NvAJY+NsRlf9cOn6Uf1gVIuLjzF9JuSoidgNvY/7iBDLz/cCnmb8qayfwv8AvT2bS/kqs4VXAr0fEIeAp4NV1+g+ucDZwGfCl4twWwHXAFDTmWJRZQ92PxVpgc0Qcx3zI356Z90TE9cC2zLyb+b8s/HlE7GT+IrdXT27cRZVZw29HxIXAIebXcMXEpl2Chh2HRTXsOKwB7iz+7ns88LHM/OuIeD2M7+eSn2wkSdIQ2vDWriRJE2OQSpI0BINUkqQhGKSSJA3BIJUkaQgGqSRJQzBIJUkagkEqSdIQ/h/AQ0rX4fRVvwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots()\n",
        "ax.plot(x, y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "Z8W1bqXHJBHM",
        "outputId": "e7b10c82-d235-45aa-89c6-3d376cb9693a"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Anatomia e workflow"
      ],
      "metadata": {
        "id": "x3_mqrndbGsy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# importe da biblioteca\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# preparando os dados\n",
        "x = [1, 2, 3, 4, 5]\n",
        "y = [10, 20, 30, 40, 50]\n",
        "\n",
        "# configuração do plot\n",
        "fig, ax = plt.subplots(figsize=(10, 10))\n",
        "\n",
        "# plotando os dados\n",
        "ax.plot(x, y)\n",
        "\n",
        "# customizando o plot\n",
        "ax.set(title=\"Exemplo de plot customizado\", xlabel=\"axis x\", ylabel=\"axis y\")\n",
        "\n",
        "# exibindo o plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "iRjvG5WgKz8s",
        "outputId": "06e0b37a-a18e-4ba9-eedf-059794bbed9e"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "AzvgRz69b-y9"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Tipos de plots mais utilizados"
      ],
      "metadata": {
        "id": "do_lxfWl_39f"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
      ],
      "metadata": {
        "id": "DFGgqr2i_7bt"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = np.linspace(0, 10, 100)\n",
        "x[:10]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T4yY0fwA_-1R",
        "outputId": "efeccaf0-7ea3-44ea-ba64-a55e060be10b"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.        , 0.1010101 , 0.2020202 , 0.3030303 , 0.4040404 ,\n",
              "       0.50505051, 0.60606061, 0.70707071, 0.80808081, 0.90909091])"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots()\n",
        "ax.plot(x, x**2);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "8K6tjQ2YApFq",
        "outputId": "e8a312e7-4a0e-4df9-b864-dd4c2cecf61a"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots()\n",
        "ax.scatter(x, np.sin(x));"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "v-EpWiEIAyxQ",
        "outputId": "546edca3-dbcf-43bb-ed01-4ae0210292f5"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "produtos = {\"Pão\": 10,\n",
        "            \"Leite\": 8,\n",
        "            \"Sorvete\": 12}\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "ax.bar(produtos.keys(), produtos.values())\n",
        "ax.set(title=\"Lista de produtos\", ylabel=\"Preço\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "JcbprMgHCBsR",
        "outputId": "f0aea704-121a-488e-fa0a-ee7660b4646f"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots()\n",
        "ax.barh(list(produtos.keys()), list(produtos.values()));"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "yb8SVof7DiVn",
        "outputId": "5444e697-8ec6-4861-8747-2e58852045a4"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x = np.random.randn(1000)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "ax.hist(x);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "ydN3Mz6JEDn3",
        "outputId": "62fcec13-6f14-4a17-afd3-b0df2918faec"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2,\n",
        "                                             ncols=2,\n",
        "                                             figsize=(10, 5))\n",
        "ax1.plot(x, x/2)\n",
        "ax2.scatter(np.random.random(10), np.random.random(10))\n",
        "ax3.bar(produtos.keys(), produtos.values())\n",
        "ax4.hist(np.random.randn(1000));"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "-8ciEIhlErEj",
        "outputId": "bca68a50-d423-49c2-c5a4-78623bebfac5"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x360 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(10, 5))\n",
        "\n",
        "ax[0, 0].plot(x, x/2) #line\n",
        "ax[0, 1].scatter(np.random.random(10), np.random.random(10)) #scatter\n",
        "ax[1, 0].bar(produtos.keys(), produtos.values()) #bar\n",
        "ax[1, 1].hist(np.random.randn(1000)); #hist"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "aYjIPd1ZGd5i",
        "outputId": "438402f3-95e1-48d4-db6c-3ab74f11f964"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x360 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Plotando dados com pandas"
      ],
      "metadata": {
        "id": "ufToonuAZPUo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "venda_de_carros = pd.read_csv(\"venda-de-carros-formatado.csv\")\n",
        "venda_de_carros.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "gVxmsnYPHW2V",
        "outputId": "c1344689-d24f-457b-cc95-d8923c88ac76"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-04481162-fabd-4462-a37c-d6ffa29aeef9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Fabricante</th>\n",
              "      <th>Cor</th>\n",
              "      <th>Quilometragem</th>\n",
              "      <th>Portas</th>\n",
              "      <th>Preco</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Toyota</td>\n",
              "      <td>Branco</td>\n",
              "      <td>150043</td>\n",
              "      <td>4</td>\n",
              "      <td>24000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Honda</td>\n",
              "      <td>Vermelho</td>\n",
              "      <td>87899</td>\n",
              "      <td>4</td>\n",
              "      <td>25000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Toyota</td>\n",
              "      <td>Azul</td>\n",
              "      <td>32549</td>\n",
              "      <td>3</td>\n",
              "      <td>27000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>BMW</td>\n",
              "      <td>Preto</td>\n",
              "      <td>11179</td>\n",
              "      <td>5</td>\n",
              "      <td>122000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Nissan</td>\n",
              "      <td>Branco</td>\n",
              "      <td>213095</td>\n",
              "      <td>4</td>\n",
              "      <td>13500.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-04481162-fabd-4462-a37c-d6ffa29aeef9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-04481162-fabd-4462-a37c-d6ffa29aeef9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-04481162-fabd-4462-a37c-d6ffa29aeef9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  Fabricante       Cor  Quilometragem  Portas     Preco\n",
              "0     Toyota    Branco         150043       4   24000.0\n",
              "1      Honda  Vermelho          87899       4   25000.0\n",
              "2     Toyota      Azul          32549       3   27000.0\n",
              "3        BMW     Preto          11179       5  122000.0\n",
              "4     Nissan    Branco         213095       4   13500.0"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "venda_de_carros[\"Data da venda\"] = pd.date_range(\"1/1/2021\", periods=len(venda_de_carros))\n",
        "venda_de_carros.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Npi9yAndZZId",
        "outputId": "a980dc8a-fbfd-41a6-b17f-8026c7869749"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-b3a3980f-24d9-4e25-8630-efacf5a26603\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Fabricante</th>\n",
              "      <th>Cor</th>\n",
              "      <th>Quilometragem</th>\n",
              "      <th>Portas</th>\n",
              "      <th>Preco</th>\n",
              "      <th>Data da venda</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Toyota</td>\n",
              "      <td>Branco</td>\n",
              "      <td>150043</td>\n",
              "      <td>4</td>\n",
              "      <td>24000.0</td>\n",
              "      <td>2021-01-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Honda</td>\n",
              "      <td>Vermelho</td>\n",
              "      <td>87899</td>\n",
              "      <td>4</td>\n",
              "      <td>25000.0</td>\n",
              "      <td>2021-01-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Toyota</td>\n",
              "      <td>Azul</td>\n",
              "      <td>32549</td>\n",
              "      <td>3</td>\n",
              "      <td>27000.0</td>\n",
              "      <td>2021-01-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>BMW</td>\n",
              "      <td>Preto</td>\n",
              "      <td>11179</td>\n",
              "      <td>5</td>\n",
              "      <td>122000.0</td>\n",
              "      <td>2021-01-04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Nissan</td>\n",
              "      <td>Branco</td>\n",
              "      <td>213095</td>\n",
              "      <td>4</td>\n",
              "      <td>13500.0</td>\n",
              "      <td>2021-01-05</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b3a3980f-24d9-4e25-8630-efacf5a26603')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b3a3980f-24d9-4e25-8630-efacf5a26603 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b3a3980f-24d9-4e25-8630-efacf5a26603');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  Fabricante       Cor  Quilometragem  Portas     Preco Data da venda\n",
              "0     Toyota    Branco         150043       4   24000.0    2021-01-01\n",
              "1      Honda  Vermelho          87899       4   25000.0    2021-01-02\n",
              "2     Toyota      Azul          32549       3   27000.0    2021-01-03\n",
              "3        BMW     Preto          11179       5  122000.0    2021-01-04\n",
              "4     Nissan    Branco         213095       4   13500.0    2021-01-05"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "venda_de_carros[\"Total\"] = venda_de_carros[\"Preco\"].cumsum()\n",
        "venda_de_carros.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "eWgHh3YQcCHj",
        "outputId": "203d9542-a2c5-45a1-eafa-9f34c0d2accd"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-3f5011e6-76f9-446c-b43a-60fe651f51ae\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Fabricante</th>\n",
              "      <th>Cor</th>\n",
              "      <th>Quilometragem</th>\n",
              "      <th>Portas</th>\n",
              "      <th>Preco</th>\n",
              "      <th>Data da venda</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Toyota</td>\n",
              "      <td>Branco</td>\n",
              "      <td>150043</td>\n",
              "      <td>4</td>\n",
              "      <td>24000.0</td>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>24000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Honda</td>\n",
              "      <td>Vermelho</td>\n",
              "      <td>87899</td>\n",
              "      <td>4</td>\n",
              "      <td>25000.0</td>\n",
              "      <td>2021-01-02</td>\n",
              "      <td>49000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Toyota</td>\n",
              "      <td>Azul</td>\n",
              "      <td>32549</td>\n",
              "      <td>3</td>\n",
              "      <td>27000.0</td>\n",
              "      <td>2021-01-03</td>\n",
              "      <td>76000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>BMW</td>\n",
              "      <td>Preto</td>\n",
              "      <td>11179</td>\n",
              "      <td>5</td>\n",
              "      <td>122000.0</td>\n",
              "      <td>2021-01-04</td>\n",
              "      <td>198000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Nissan</td>\n",
              "      <td>Branco</td>\n",
              "      <td>213095</td>\n",
              "      <td>4</td>\n",
              "      <td>13500.0</td>\n",
              "      <td>2021-01-05</td>\n",
              "      <td>211500.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3f5011e6-76f9-446c-b43a-60fe651f51ae')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3f5011e6-76f9-446c-b43a-60fe651f51ae button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3f5011e6-76f9-446c-b43a-60fe651f51ae');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  Fabricante       Cor  Quilometragem  Portas     Preco Data da venda     Total\n",
              "0     Toyota    Branco         150043       4   24000.0    2021-01-01   24000.0\n",
              "1      Honda  Vermelho          87899       4   25000.0    2021-01-02   49000.0\n",
              "2     Toyota      Azul          32549       3   27000.0    2021-01-03   76000.0\n",
              "3        BMW     Preto          11179       5  122000.0    2021-01-04  198000.0\n",
              "4     Nissan    Branco         213095       4   13500.0    2021-01-05  211500.0"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "venda_de_carros.plot(x=\"Data da venda\", y=\"Total\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "Kj_96lZzdgp1",
        "outputId": "d8f49544-a2e6-46c8-b857-2219986a3ca9"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "venda_de_carros.plot(x=\"Quilometragem\", y=\"Preco\", kind=\"scatter\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "y_c56ADdd4rI",
        "outputId": "995ae244-301e-44ca-a86d-911ff67b7b4c"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "venda_de_carros.plot(x=\"Fabricante\", y=\"Quilometragem\", kind=\"bar\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "lGEMI73ugTCL",
        "outputId": "dcdecb32-c050-41fb-ab1b-078f5e298828"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "venda_de_carros[\"Quilometragem\"].plot(kind=\"hist\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "T_QNguJthPm8",
        "outputId": "55bc173b-fce7-4e3c-aa20-9be6a13fed1c"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Customizando plots"
      ],
      "metadata": {
        "id": "RfZziIB0l8ny"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"heart-disease.csv\")\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "T_ZJV_Bjiw_f",
        "outputId": "a227bff2-9589-4309-d169-d25db4285613"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-7b6d2c6c-bddd-4733-abb3-9c6f12238ffb\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>age</th>\n",
              "      <th>sex</th>\n",
              "      <th>cp</th>\n",
              "      <th>trestbps</th>\n",
              "      <th>chol</th>\n",
              "      <th>fbs</th>\n",
              "      <th>restecg</th>\n",
              "      <th>thalach</th>\n",
              "      <th>exang</th>\n",
              "      <th>oldpeak</th>\n",
              "      <th>slope</th>\n",
              "      <th>ca</th>\n",
              "      <th>thal</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>250</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>187</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>130</td>\n",
              "      <td>204</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>172</td>\n",
              "      <td>0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>120</td>\n",
              "      <td>236</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>57</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>120</td>\n",
              "      <td>354</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>1</td>\n",
              "      <td>0.6</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7b6d2c6c-bddd-4733-abb3-9c6f12238ffb')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7b6d2c6c-bddd-4733-abb3-9c6f12238ffb button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7b6d2c6c-bddd-4733-abb3-9c6f12238ffb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   age  sex  cp  trestbps  chol  fbs  ...  exang  oldpeak  slope  ca  thal  target\n",
              "0   63    1   3       145   233    1  ...      0      2.3      0   0     1       1\n",
              "1   37    1   2       130   250    0  ...      0      3.5      0   0     2       1\n",
              "2   41    0   1       130   204    0  ...      0      1.4      2   0     2       1\n",
              "3   56    1   1       120   236    0  ...      0      0.8      2   0     2       1\n",
              "4   57    0   0       120   354    0  ...      1      0.6      2   0     2       1\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mais_de_50 = df[df[\"age\"] > 50]\n",
        "mais_de_50.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "PDM3n3o0mRCr",
        "outputId": "23a1ecc4-df24-4e01-e944-4cc388d535c3"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0d2aeb51-01c7-414c-9cae-3d83268cc9ca\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>age</th>\n",
              "      <th>sex</th>\n",
              "      <th>cp</th>\n",
              "      <th>trestbps</th>\n",
              "      <th>chol</th>\n",
              "      <th>fbs</th>\n",
              "      <th>restecg</th>\n",
              "      <th>thalach</th>\n",
              "      <th>exang</th>\n",
              "      <th>oldpeak</th>\n",
              "      <th>slope</th>\n",
              "      <th>ca</th>\n",
              "      <th>thal</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>120</td>\n",
              "      <td>236</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>57</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>120</td>\n",
              "      <td>354</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>1</td>\n",
              "      <td>0.6</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>57</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>192</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>148</td>\n",
              "      <td>0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>56</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>140</td>\n",
              "      <td>294</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>153</td>\n",
              "      <td>0</td>\n",
              "      <td>1.3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0d2aeb51-01c7-414c-9cae-3d83268cc9ca')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-0d2aeb51-01c7-414c-9cae-3d83268cc9ca button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-0d2aeb51-01c7-414c-9cae-3d83268cc9ca');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   age  sex  cp  trestbps  chol  fbs  ...  exang  oldpeak  slope  ca  thal  target\n",
              "0   63    1   3       145   233    1  ...      0      2.3      0   0     1       1\n",
              "3   56    1   1       120   236    0  ...      0      0.8      2   0     2       1\n",
              "4   57    0   0       120   354    0  ...      1      0.6      2   0     2       1\n",
              "5   57    1   0       140   192    0  ...      0      0.4      1   0     1       1\n",
              "6   56    0   1       140   294    0  ...      0      1.3      1   0     2       1\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "mais_de_50.plot(kind=\"scatter\",\n",
        "                x=\"age\",\n",
        "                y=\"chol\",\n",
        "                c=\"target\",\n",
        "                ax=ax)\n",
        "ax.set_xlim([45, 100]);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "id": "JMbk9sVanj9N",
        "outputId": "d534968e-a67b-4d7d-eb58-d55755876fe8"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "\n",
        "scatter = ax.scatter(mais_de_50[\"age\"],\n",
        "                     mais_de_50[\"chol\"],\n",
        "                     c=mais_de_50[\"target\"])\n",
        "\n",
        "ax.set(title=\"Doença cardíaca e níveis de colesterol\",\n",
        "       xlabel=\"Idade\",\n",
        "       ylabel=\"Colesterol\")\n",
        "\n",
        "ax.legend(*scatter.legend_elements(), title=\"Alvo\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "eyVG9noDorFF",
        "outputId": "6cdc6a8f-7c85-4c0f-9100-0cd49a35562d"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Criando o plot\n",
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "\n",
        "# Plotando os dados\n",
        "scatter = ax.scatter(mais_de_50[\"age\"],\n",
        "                     mais_de_50[\"chol\"],\n",
        "                     c=mais_de_50[\"target\"])\n",
        "\n",
        "# Customizando o plot\n",
        "ax.set(title=\"Doença cardíaca e níveis de colesterol\",\n",
        "       xlabel=\"Idade\",\n",
        "       ylabel=\"Colesterol\")\n",
        "ax.legend(*scatter.legend_elements(), title=\"Alvo\")\n",
        "\n",
        "# Adicionando a linha média horizontal para colesterol\n",
        "ax.axhline(mais_de_50[\"chol\"].mean(),\n",
        "           linestyle=\"--\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "dWuv8faTurGX",
        "outputId": "f69fe1fa-62ee-4f1a-cd78-b58ac91223a9"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Adicionando outro plot ao existente"
      ],
      "metadata": {
        "id": "7EIk_6js6rzg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Criando o plot\n",
        "fig, (ax0, ax1) = plt.subplots(nrows=2,\n",
        "                               ncols=1,\n",
        "                               sharex=True,\n",
        "                               figsize=(10, 10))\n",
        "\n",
        "# Adicionando os dados para ax0\n",
        "scatter = ax0.scatter(mais_de_50[\"age\"],\n",
        "                      mais_de_50[\"chol\"],\n",
        "                      c=mais_de_50[\"target\"])\n",
        "\n",
        "# Customizando ax0\n",
        "ax0.set(title=\"Doença cardíaca e níveis de colesterol\",\n",
        "       xlabel=\"Idade\",\n",
        "       ylabel=\"Colesterol\")\n",
        "ax0.legend(*scatter.legend_elements(), title=\"Alvo\")\n",
        "\n",
        "# Adicionando a linha média horizontal para colesterol em ax0\n",
        "ax0.axhline(mais_de_50[\"chol\"].mean(),\n",
        "           linestyle=\"--\")\n",
        "\n",
        "# Adicionando os dados para ax1\n",
        "scatter = ax1.scatter(mais_de_50[\"age\"],\n",
        "                      mais_de_50[\"thalach\"],\n",
        "                      c=mais_de_50[\"target\"])\n",
        "\n",
        "# Customizando ax1\n",
        "ax1.set(title=\"Doença cardíaca e níveis máximos de frequência cardíaca\",\n",
        "        xlabel=\"Idade\",\n",
        "        ylabel=\"Frequência cardíaca máxima\")\n",
        "ax1.legend(*scatter.legend_elements(), title=\"Alvo\")\n",
        "\n",
        "# Adicionando a linha média para frequência cardíaca\n",
        "ax1.axhline(mais_de_50[\"thalach\"].mean(),\n",
        "            linestyle=\"--\")\n",
        "\n",
        "# Título da figura\n",
        "fig.suptitle(\"Análise de Doenças Cardíacas\", fontsize=16, fontweight=\"bold\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 677
        },
        "id": "e-S_Ycrm3mKR",
        "outputId": "0ae2b412-48d1-4a0e-ad79-7b07a3a87f00"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Definindo um novo estilo com grid\n",
        "plt.style.use(\"seaborn-whitegrid\")\n",
        "\n",
        "# Criando o plot\n",
        "fig, (ax0, ax1) = plt.subplots(nrows=2,\n",
        "                               ncols=1,\n",
        "                               sharex=True,\n",
        "                               figsize=(10, 10))\n",
        "\n",
        "# Adicionando os dados para ax0\n",
        "scatter = ax0.scatter(mais_de_50[\"age\"],\n",
        "                      mais_de_50[\"chol\"],\n",
        "                      c=mais_de_50[\"target\"],\n",
        "                      cmap='winter')\n",
        "\n",
        "# Customizando ax0\n",
        "ax0.set(title=\"Doenças cardíacas e níveis de colesterol\",\n",
        "        ylabel=\"Colesterol\")\n",
        "ax0.set_xlim([50, 80])\n",
        "ax0.legend(*scatter.legend_elements(), title=\"Alvo\")\n",
        "\n",
        "# Adicionando a linha média horizontal para colesterol em ax0\n",
        "ax0.axhline(mais_de_50[\"chol\"].mean(),\n",
        "            color=\"r\",\n",
        "            linestyle=\"--\")\n",
        "\n",
        "# Adicionando os dados para ax1\n",
        "scatter = ax1.scatter(mais_de_50[\"age\"],\n",
        "                      mais_de_50[\"thalach\"],\n",
        "                      c=mais_de_50[\"target\"],\n",
        "                      cmap='winter')\n",
        "\n",
        "# Customizando ax1\n",
        "ax1.set(title=\"Doença cardíaca e níveis máximos de frequência cardíaca\",\n",
        "        ylabel=\"Frequência cardíaca máxima\",\n",
        "        xlabel=\"Idade\",\n",
        "        ylim=[60, 200])\n",
        "ax1.legend(*scatter.legend_elements(), title=\"Alvo\")\n",
        "\n",
        "# Adicionando a linha média para frequência cardíaca\n",
        "ax1.axhline(mais_de_50[\"thalach\"].mean(),\n",
        "            color=\"r\",\n",
        "            linestyle=\"--\")\n",
        "\n",
        "# Título da figura\n",
        "fig.suptitle(\"Análise de Doenças Cardíacas\", fontsize=16, fontweight=\"bold\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674
        },
        "id": "xfdmIxI_9oel",
        "outputId": "c8685fb3-594d-447d-fbf2-539bdbfbd8b2"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "UM2lGPE_Auve"
      },
      "execution_count": 31,
      "outputs": []
    }
  ]
}