Python Data Science Numpy.ipynb

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  "metadata": {
    "colab": {
      "name": "Python_Data_Science_Numpy.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "gSnX12-sltjH",
        "2oZuKvWkltjJ",
        "v86aEyR2ltjR",
        "X1K5kisFltj1",
        "MUrQAf6Mltkm",
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        "aRfQfubxlto6",
        "VSmffnCklto6"
      ]
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.5"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "do3kUOLbltjE"
      },
      "source": [
        "# <font color=green> PYTHON PARA DATA SCIENCE - NUMPY\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "umSz9TLxltjG"
      },
      "source": [
        "# <font color=green> 1. INTRODUÇÃO AO PYTHON\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "gSnX12-sltjH"
      },
      "source": [
        "# 1.1 Introdução"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "SRG_k55kltjI"
      },
      "source": [
        "> Python é uma linguagem de programação de alto nível com suporte a múltiplos paradigmas de programação. É um projeto *open source* e desde seu surgimento, em 1991, vem se tornando uma das linguagens de programação interpretadas mais populares. \n",
        ">\n",
        "> Nos últimos anos Python desenvolveu uma comunidade ativa de processamento científico e análise de dados e vem se destacando como uma das linguagens mais relevantes quando o assunto é ciência de dados e machine learning, tanto no ambiente acadêmico como também no mercado."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "2oZuKvWkltjJ"
      },
      "source": [
        "# 1.2 Instalação e ambiente de desenvolvimento"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "v4P8bMEIltjK"
      },
      "source": [
        "### Instalação Local\n",
        "\n",
        "### https://www.python.org/downloads/\n",
        "### ou\n",
        "### https://www.anaconda.com/distribution/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "FZtu5tjrltjL"
      },
      "source": [
        "### Google Colaboratory\n",
        "\n",
        "### https://colab.research.google.com"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "C6vbfq8DltjM"
      },
      "source": [
        "### Verificando versão"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jeuAt-4NltjM",
        "outputId": "4f229ad1-dabc-4fd1-976c-5c1f4c4bb222",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!python -V"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Python 3.6.8\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "v86aEyR2ltjR"
      },
      "source": [
        "# 1.3 Trabalhando com arrays Numpy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OFaxgUptltjW",
        "scrolled": true,
        "colab": {}
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FXjYowRDltjZ",
        "colab": {}
      },
      "source": [
        "km = np.loadtxt('carros-km.txt')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "f_d2Ya-vltjb",
        "outputId": "494643d2-a998-4e1b-ed4f-ab0e9a22c40b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 901
        }
      },
      "source": [
        "km"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([4.44100e+04, 5.71200e+03, 3.71230e+04, 0.00000e+00, 2.57570e+04,\n",
              "       1.07280e+04, 0.00000e+00, 7.75990e+04, 9.91970e+04, 3.79780e+04,\n",
              "       1.28590e+04, 8.05200e+03, 8.97730e+04, 0.00000e+00, 4.14570e+04,\n",
              "       1.15607e+05, 4.64490e+04, 0.00000e+00, 3.70860e+04, 1.51730e+04,\n",
              "       1.01193e+05, 0.00000e+00, 9.80790e+04, 1.02959e+05, 0.00000e+00,\n",
              "       0.00000e+00, 5.79500e+03, 0.00000e+00, 5.88480e+04, 9.43810e+04,\n",
              "       3.01630e+04, 5.33320e+04, 1.77200e+04, 3.38080e+04, 9.06840e+04,\n",
              "       4.39750e+04, 0.00000e+00, 0.00000e+00, 5.52600e+03, 0.00000e+00,\n",
              "       9.34150e+04, 4.07620e+04, 0.00000e+00, 8.63020e+04, 0.00000e+00,\n",
              "       9.75500e+03, 6.99450e+04, 2.39500e+03, 0.00000e+00, 8.03490e+04,\n",
              "       8.55540e+04, 5.04960e+04, 6.77160e+04, 9.39470e+04, 3.53450e+04,\n",
              "       8.10070e+04, 1.19513e+05, 0.00000e+00, 0.00000e+00, 0.00000e+00,\n",
              "       0.00000e+00, 0.00000e+00, 1.18895e+05, 4.85090e+04, 1.00912e+05,\n",
              "       9.56490e+04, 0.00000e+00, 9.04950e+04, 0.00000e+00, 2.91320e+04,\n",
              "       2.38020e+04, 8.49920e+04, 5.43950e+04, 2.67310e+04, 4.43290e+04,\n",
              "       1.18236e+05, 1.13808e+05, 6.10000e+02, 0.00000e+00, 0.00000e+00,\n",
              "       1.28870e+04, 7.96070e+04, 9.09240e+04, 4.27330e+04, 0.00000e+00,\n",
              "       0.00000e+00, 1.17714e+05, 1.13885e+05, 0.00000e+00, 3.05110e+04,\n",
              "       7.48670e+04, 1.19760e+05, 8.35600e+03, 6.42470e+04, 8.86610e+04,\n",
              "       4.53900e+03, 1.10116e+05, 3.32150e+04, 9.20010e+04, 0.00000e+00,\n",
              "       8.17080e+04, 7.06410e+04, 0.00000e+00, 9.12770e+04, 2.65440e+04,\n",
              "       5.25960e+04, 4.75030e+04, 8.90560e+04, 2.88340e+04, 1.10564e+05,\n",
              "       5.66380e+04, 1.73570e+04, 7.40150e+04, 1.51960e+04, 0.00000e+00,\n",
              "       1.08210e+04, 0.00000e+00, 0.00000e+00, 9.59500e+03, 9.90520e+04,\n",
              "       5.23890e+04, 1.19945e+05, 9.60050e+04, 3.16390e+04, 0.00000e+00,\n",
              "       8.01870e+04, 0.00000e+00, 5.82120e+04, 6.16720e+04, 3.20170e+04,\n",
              "       0.00000e+00, 5.69440e+04, 0.00000e+00, 8.65190e+04, 4.82100e+03,\n",
              "       1.01025e+05, 3.07050e+04, 0.00000e+00, 3.25550e+04, 1.03389e+05,\n",
              "       0.00000e+00, 5.52890e+04, 0.00000e+00, 0.00000e+00, 1.15930e+05,\n",
              "       6.64370e+04, 9.68000e+04, 1.42370e+04, 1.98960e+04, 1.13045e+05,\n",
              "       1.14942e+05, 3.17300e+03, 8.36110e+04, 2.53560e+04, 8.86340e+04,\n",
              "       2.31400e+03, 2.62700e+03, 5.20340e+04, 0.00000e+00, 0.00000e+00,\n",
              "       7.95770e+04, 1.08201e+05, 7.64530e+04, 5.76830e+04, 9.66100e+04,\n",
              "       1.09001e+05, 2.62120e+04, 4.59710e+04, 4.91820e+04, 4.99070e+04,\n",
              "       3.86200e+04, 6.09960e+04, 7.39140e+04, 1.07392e+05, 9.14600e+03,\n",
              "       0.00000e+00, 1.79240e+04, 0.00000e+00, 1.16949e+05, 2.04760e+04,\n",
              "       5.28040e+04, 8.84900e+03, 9.17240e+04, 3.20560e+04, 7.48860e+04,\n",
              "       0.00000e+00, 0.00000e+00, 5.21890e+04, 8.35590e+04, 0.00000e+00,\n",
              "       2.03280e+04, 0.00000e+00, 7.55770e+04, 3.36590e+04, 1.04341e+05,\n",
              "       2.55100e+04, 1.89650e+04, 8.71610e+04, 6.65200e+03, 5.57380e+04,\n",
              "       0.00000e+00, 0.00000e+00, 0.00000e+00, 6.43200e+04, 0.00000e+00,\n",
              "       6.86780e+04, 7.16970e+04, 0.00000e+00, 3.47830e+04, 3.37720e+04,\n",
              "       8.51270e+04, 1.36060e+04, 3.56470e+04, 9.51280e+04, 1.40460e+04,\n",
              "       4.11940e+04, 0.00000e+00, 9.61000e+04, 1.03900e+05, 4.38140e+04,\n",
              "       2.46380e+04, 0.00000e+00, 1.10966e+05, 1.59870e+04, 5.33690e+04,\n",
              "       1.00770e+04, 7.15440e+04, 1.07000e+02, 8.39400e+03, 4.14980e+04,\n",
              "       1.16002e+05, 1.00858e+05, 6.74750e+04, 8.49700e+03, 4.42000e+03,\n",
              "       0.00000e+00, 5.85370e+04, 0.00000e+00, 0.00000e+00, 1.12016e+05,\n",
              "       9.18400e+04, 1.12787e+05, 0.00000e+00, 0.00000e+00, 9.29300e+03,\n",
              "       0.00000e+00, 5.50830e+04, 4.87960e+04, 0.00000e+00, 8.96850e+04,\n",
              "       8.53840e+04, 9.81080e+04, 7.12800e+04, 2.75050e+04, 2.99810e+04,\n",
              "       5.26370e+04, 7.68500e+03, 5.01880e+04])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "hxLZatdeltje",
        "colab": {}
      },
      "source": [
        "anos = np.loadtxt('carros-anos.txt', dtype = int)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GLsHBNakltjg",
        "outputId": "8c906abf-33da-4fe2-d08e-322ec41ddd99",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "anos"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2003, 1991, 1990, 2019, 2006, 2012, 2019, 2009, 2010, 2011, 2002,\n",
              "       2007, 2001, 2019, 2009, 2016, 2012, 2019, 2016, 2017, 2002, 2019,\n",
              "       1994, 1991, 2019, 2019, 2016, 2019, 2002, 1991, 1997, 1995, 2018,\n",
              "       1991, 2014, 1995, 2019, 2019, 2009, 2019, 2013, 2003, 2019, 2002,\n",
              "       2019, 2002, 2004, 2001, 2019, 2003, 2009, 2006, 2000, 2006, 2010,\n",
              "       1994, 2007, 2019, 2019, 2019, 2019, 2019, 2017, 2011, 2001, 1996,\n",
              "       2019, 1994, 2019, 2007, 1994, 2007, 1997, 2006, 2013, 1994, 2008,\n",
              "       2008, 2019, 2019, 1999, 2007, 1993, 1995, 2019, 2019, 2016, 2011,\n",
              "       2019, 2002, 2013, 2017, 2016, 2008, 2018, 2003, 2003, 2004, 2010,\n",
              "       2019, 2006, 2001, 2019, 2015, 2018, 2017, 1992, 2001, 1993, 1995,\n",
              "       2003, 2014, 2008, 2013, 2019, 2017, 2019, 2019, 2006, 2015, 2007,\n",
              "       2005, 2017, 1998, 2019, 1999, 2019, 2009, 2003, 1994, 2019, 1994,\n",
              "       2019, 2015, 1996, 1997, 1993, 2019, 1992, 1995, 2019, 1990, 2019,\n",
              "       2019, 1991, 1990, 2012, 2007, 2013, 2000, 2002, 1996, 1996, 2015,\n",
              "       1993, 2013, 2013, 2009, 2019, 2019, 2002, 1997, 1998, 2004, 1996,\n",
              "       2015, 2016, 2005, 1999, 1995, 1993, 2004, 2013, 1998, 2018, 2019,\n",
              "       2018, 2019, 1990, 2009, 1990, 2006, 2002, 1991, 1992, 2019, 2019,\n",
              "       2005, 2010, 2019, 2016, 2019, 2010, 1994, 2001, 2014, 1996, 1993,\n",
              "       1993, 2001, 2019, 2019, 2019, 2007, 2019, 2016, 2014, 2019, 2015,\n",
              "       2015, 1996, 2002, 2005, 1995, 1999, 2005, 2019, 1997, 1990, 2001,\n",
              "       2013, 2019, 2017, 2011, 2005, 2007, 1993, 1991, 1991, 1997, 2000,\n",
              "       2007, 2006, 2015, 2008, 2019, 1996, 2019, 2019, 2014, 2004, 2008,\n",
              "       2019, 2019, 2012, 2019, 1996, 2011, 2019, 2010, 2007, 1994, 2007,\n",
              "       2014, 1991, 2002, 1996, 1992])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "wMdUsAq4ltjs"
      },
      "source": [
        "### Obtendo a quilometragem média por ano"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "cD2M3s3Fltjt",
        "outputId": "cb753d94-8fee-4a17-8d6c-bde327774562",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "km_media = km / (2019 - anos)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "65IyPzKKltjv",
        "outputId": "b4a4bce1-f1c5-4e7d-ceae-df074654bec6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "km_media"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2.77562500e+03, 2.04000000e+02, 1.28010345e+03,            nan,\n",
              "       1.98130769e+03, 1.53257143e+03,            nan, 7.75990000e+03,\n",
              "       1.10218889e+04, 4.74725000e+03, 7.56411765e+02, 6.71000000e+02,\n",
              "       4.98738889e+03,            nan, 4.14570000e+03, 3.85356667e+04,\n",
              "       6.63557143e+03,            nan, 1.23620000e+04, 7.58650000e+03,\n",
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              "                  nan,            nan, 1.93166667e+03,            nan,\n",
              "       3.46164706e+03, 3.37075000e+03, 1.37104545e+03, 2.22216667e+03,\n",
              "       1.77200000e+04, 1.20742857e+03, 1.81368000e+04, 1.83229167e+03,\n",
              "                  nan,            nan, 5.52600000e+02,            nan,\n",
              "       1.55691667e+04, 2.54762500e+03,            nan, 5.07658824e+03,\n",
              "                  nan, 5.73823529e+02, 4.66300000e+03, 1.33055556e+02,\n",
              "                  nan, 5.02181250e+03, 8.55540000e+03, 3.88430769e+03,\n",
              "       3.56400000e+03, 7.22669231e+03, 3.92722222e+03, 3.24028000e+03,\n",
              "       9.95941667e+03,            nan,            nan,            nan,\n",
              "                  nan,            nan, 5.94475000e+04, 6.06362500e+03,\n",
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              "                  nan, 2.42766667e+03, 9.52080000e+02, 7.08266667e+03,\n",
              "       2.47250000e+03, 2.05623077e+03, 7.38816667e+03, 4.72944000e+03,\n",
              "       1.03461818e+04, 5.54545455e+01,            nan,            nan,\n",
              "       6.44350000e+02, 6.63391667e+03, 3.49707692e+03, 1.78054167e+03,\n",
              "                  nan,            nan, 3.92380000e+04, 1.42356250e+04,\n",
              "                  nan, 1.79476471e+03, 1.24778333e+04, 5.98800000e+04,\n",
              "       2.78533333e+03, 5.84063636e+03, 8.86610000e+04, 2.83687500e+02,\n",
              "       6.88225000e+03, 2.21433333e+03, 1.02223333e+04,            nan,\n",
              "       6.28523077e+03, 3.92450000e+03,            nan, 2.28192500e+04,\n",
              "       2.65440000e+04, 2.62980000e+04, 1.75937037e+03, 4.94755556e+03,\n",
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              "       6.72863636e+03, 2.53266667e+03,            nan, 5.41050000e+03,\n",
              "                  nan,            nan, 7.38076923e+02, 2.47630000e+04,\n",
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              "                  nan, 4.00935000e+03,            nan, 5.82120000e+03,\n",
              "       3.85450000e+03, 1.28068000e+03,            nan, 2.27776000e+03,\n",
              "                  nan, 2.16297500e+04, 2.09608696e+02, 4.59204545e+03,\n",
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              "       3.31600000e+03, 5.94973684e+03, 6.76129412e+03, 1.37956522e+02,\n",
              "       3.63526087e+03, 6.33900000e+03, 3.40900000e+03, 3.85666667e+02,\n",
              "       4.37833333e+02, 5.20340000e+03,            nan,            nan,\n",
              "       4.68100000e+03, 4.91822727e+03, 3.64061905e+03, 3.84553333e+03,\n",
              "       4.20043478e+03, 2.72502500e+04, 8.73733333e+03, 3.28364286e+03,\n",
              "       2.45910000e+03, 2.07945833e+03, 1.48538462e+03, 4.06640000e+03,\n",
              "       1.23190000e+04, 5.11390476e+03, 9.14600000e+03,            nan,\n",
              "       1.79240000e+04,            nan, 4.03272414e+03, 2.04760000e+03,\n",
              "       1.82082759e+03, 6.80692308e+02, 5.39552941e+03, 1.14485714e+03,\n",
              "       2.77355556e+03,            nan,            nan, 3.72778571e+03,\n",
              "       9.28433333e+03,            nan, 6.77600000e+03,            nan,\n",
              "       8.39744444e+03, 1.34636000e+03, 5.79672222e+03, 5.10200000e+03,\n",
              "       8.24565217e+02, 3.35234615e+03, 2.55846154e+02, 3.09655556e+03,\n",
              "                  nan,            nan,            nan, 5.36000000e+03,\n",
              "                  nan, 2.28926667e+04, 1.43394000e+04,            nan,\n",
              "       8.69575000e+03, 8.44300000e+03, 3.70117391e+03, 8.00352941e+02,\n",
              "       2.54621429e+03, 3.96366667e+03, 7.02300000e+02, 2.94242857e+03,\n",
              "                  nan, 4.36818182e+03, 3.58275862e+03, 2.43411111e+03,\n",
              "       4.10633333e+03,            nan, 5.54830000e+04, 1.99837500e+03,\n",
              "       3.81207143e+03, 8.39750000e+02, 2.75169231e+03, 3.82142857e+00,\n",
              "       2.99785714e+02, 1.88627273e+03, 6.10536842e+03, 8.40483333e+03,\n",
              "       5.19038462e+03, 2.12425000e+03, 4.01818182e+02,            nan,\n",
              "       2.54508696e+03,            nan,            nan, 2.24032000e+04,\n",
              "       6.12266667e+03, 1.02533636e+04,            nan,            nan,\n",
              "       1.32757143e+03,            nan, 2.39491304e+03, 6.09950000e+03,\n",
              "                  nan, 9.96500000e+03, 7.11533333e+03, 3.92432000e+03,\n",
              "       5.94000000e+03, 5.50100000e+03, 1.07075000e+03, 3.09629412e+03,\n",
              "       3.34130435e+02, 1.85881481e+03])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Z0JCmAWvltjy",
        "outputId": "a93b3e09-e3ab-4323-f346-3e7d1b7d3ddd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(km_media)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "KdG5NmmGltj0"
      },
      "source": [
        "# <font color=green> 2. CARACTERÍSTICAS BÁSICAS DA LINGUAGEM\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "X1K5kisFltj1"
      },
      "source": [
        "# 2.1 Operações matemáticas\n",
        "\n",
        "### Operadores aritméticos: $+$, $-$, $*$, $/$, $**$, $\\%$, $//$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "8YCDVpbYltj1"
      },
      "source": [
        "### Adição ($+$)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "h6DsMqhaltj2",
        "outputId": "d4e854ec-ec80-4888-e80e-59b57a735e82",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "2 + 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "WeJG-WJBltj8"
      },
      "source": [
        "### Subtração ($-$)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "zoB7_OcRltj9",
        "outputId": "a174e1ff-d3ac-4ad7-8dac-590ea8dfbfbc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "2 - 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "zuv8N7fjltkC"
      },
      "source": [
        "### Multiplicação ($*$)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "TAWG7xSTltkD",
        "outputId": "23a81347-93e2-47e3-fac8-ce89233850a1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "2 * 3"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "dMp7BsnwltkF"
      },
      "source": [
        "### Divisão ($/$) e ($//$)\n",
        "A operação divisão sempre retorna um número de ponto flutuante"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "DD5kx3H3ltkF",
        "outputId": "1d843fad-24bc-4ef7-bd52-28069b2c3f08",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "10 / 3"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.3333333333333335"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ji0CYH3UltkI",
        "outputId": "ef83c856-5092-4c70-99cc-bd4127b5a3a2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "10 // 3"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "3DSO7TcvltkL"
      },
      "source": [
        "### Exponenciação ($**$)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "tBKvl2TWltkM",
        "outputId": "08487867-0734-4524-87ed-3b11fdca4854",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "2 ** 3"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "MhD56p-9ltkQ"
      },
      "source": [
        "### Resto da divisão ($\\%$)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bfa7phO6ltkR",
        "outputId": "7011a218-ebff-480b-f979-b6c482ace0c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "10 % 3"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "khIEx6olltkT",
        "outputId": "324bfb8f-b7f9-4bfb-8103-5631cc9466c7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "10 % 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "8pVVp5fsltkV"
      },
      "source": [
        "### Expressões matemáticas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jlQTk4gNltkW",
        "outputId": "bf6013d0-cea3-4736-b12a-d93e3b3bd5c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "5 * 2 + 3 * 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "kkCb6Crgltka",
        "outputId": "f2b8f28a-e014-4fcf-8cb8-2ef01e6c1aaf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "(5 * 2) + (3 * 2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "UD12tlgAltkd",
        "outputId": "ba77fe6e-2d30-4ac4-b727-77c39a753dcb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "5 * (2 + 3) * 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "50"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "a5tKQ5Beltkf"
      },
      "source": [
        "### A variável _\n",
        "\n",
        "No modo interativo, o último resultado impresso é atribuído à variável _"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "VkHEx516ltkg",
        "outputId": "202f9d1b-b7d6-4f8a-b43e-6809939a4903",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "5 * 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "dFShsobXltki",
        "outputId": "81df8600-c28f-4681-98fe-5ee679f220e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "_ + 3 * 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "hJIpR3KUltkk",
        "outputId": "77f14278-b05b-4264-eea6-b5e64bb9da14",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "_ / 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "MUrQAf6Mltkm"
      },
      "source": [
        "# 2.2 Variáveis "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "qaVLKIeultkn"
      },
      "source": [
        "### Nomes de variáveis\n",
        "\n",
        "- Nomes de variáveis pode começar com letras (a - z, A - Z) ou o caractere *underscore* (_):\n",
        "\n",
        "    > Altura\n",
        "    >\n",
        "    > _peso\n",
        "    \n",
        "- O restante do nome pode conter letras, números e o caractere \"_\":\n",
        "\n",
        "    > nome_da_variavel\n",
        "    >\n",
        "    > _valor\n",
        "    >\n",
        "    > dia_28_11_\n",
        "    \n",
        "\n",
        "- O nomes são *case sensitive*:\n",
        "\n",
        "    > Nome_Da_Variável $\\ne$ nome_da_variavel $\\ne$ NOME_DA_VARIAVEL\n",
        "    \n",
        "### <font color=red>Observações:\n",
        "- Existem algumas palavras reservadas da linguagem que não podem ser utilizadas como nomes de variável:\n",
        "\n",
        "| |Lista de palavras <br>reservadas em Python| |\n",
        "|:-------------:|:------------:|:-------------:|\n",
        "| and           | as           | not           | \n",
        "| assert        | finally      | or            | \n",
        "| break         | for          | pass          | \n",
        "| class         | from         | nonlocal      | \n",
        "| continue      | global       | raise         | \n",
        "| def           | if           | return        | \n",
        "| del           | import       | try           | \n",
        "| elif          | in           | while         | \n",
        "| else          | is           | with          | \n",
        "| except        | lambda       | yield         | \n",
        "| False         | True         | None          | "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "3frWjfAtltkn"
      },
      "source": [
        "### Declaração de variáveis\n",
        "\n",
        "### Operadores de atribuição: $=$, $+=$, $-=$, $*=$, $/=$, $**=$, $\\%=$, $//=$"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "7VIcrXNHltko",
        "colab": {}
      },
      "source": [
        "ano_atual = 2019\n",
        "ano_fabricacao = 2003\n",
        "km_total = 44410.0"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "atVoqp6bltkq",
        "outputId": "c59ab41b-e879-4bef-b549-52b6f9dd81df",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2019"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_t82qXrOltkt",
        "outputId": "87cc0a97-4afe-49e9-ef04-d565a8acbbc8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_fabricacao"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2003"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "1anwuDHiltkv",
        "outputId": "1106956e-b488-4210-aa2a-a8b93bc5373b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km_total"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "44410.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "gCBkfq_8ltky"
      },
      "source": [
        "# $$km_{média} = \\frac {km_{total}}{(Ano_{atual} - Ano_{fabricação})}$$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "zswWS4hNltky"
      },
      "source": [
        "### Operações com variáveis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "HxxU0rnfltkz",
        "outputId": "de839912-3b7d-4c2b-9516-67db353a3312",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km_media = km_total / (ano_atual - ano_fabricacao)\n",
        "km_media"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2775.625"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_2Qhb32jltk1",
        "outputId": "b6dfa863-e402-4082-8720-a4bc34a5f7e3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual = 2019\n",
        "ano_fabricacao = 2003\n",
        "km_total = 44410.0\n",
        "km_media = km_total / (ano_atual - ano_fabricacao)\n",
        "km_media"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2775.625"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "nCJzA7dyltk3",
        "outputId": "61493fcf-81f9-41fb-bb66-3edab20a80b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual = 2019\n",
        "ano_fabricacao = 2003\n",
        "km_total = 44410.0\n",
        "km_media = km_total / (ano_atual - ano_fabricacao)\n",
        "\n",
        "km_total = km_total + km_media\n",
        "km_total"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "47185.625"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ifRwQ0vEltk9",
        "outputId": "da5b61f5-8590-4cbc-8321-a280319d07e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual = 2019\n",
        "ano_fabricacao = 2003\n",
        "km_total = 44410.0\n",
        "km_media = km_total / (ano_atual - ano_fabricacao)\n",
        "\n",
        "km_total += km_media\n",
        "km_total"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "47185.625"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "fDBrHWSBltlB"
      },
      "source": [
        "### Conclusão:\n",
        "```\n",
        "\"valor = valor + 1\" é equivalente a \"valor += 1\"\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "uVAyJbmAltlC"
      },
      "source": [
        "### Declaração múltipla"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "oMWEzjPOltlC",
        "colab": {}
      },
      "source": [
        "ano_atual, ano_fabricacao, km_total = 2019, 2003, 44410.0"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "9ZKlHkLultlE",
        "outputId": "5211def2-8347-4680-e5f7-e8f73b7ae32e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2019"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "-mcMuW9nltlG",
        "outputId": "edabc55d-1835-45c0-c1ee-f6d336f6f08b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_fabricacao"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2003"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "WFFavLIvltlL",
        "outputId": "216f6700-944a-4060-cadb-7a3d5f773c12",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km_total"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "44410.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "iFawOJe6ltlO",
        "outputId": "e712c9fd-b813-48c1-83d4-47bcbb5dd773",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual, ano_fabricacao, km_total = 2019, 2003, 44410.0\n",
        "km_media = km_total / (ano_atual - ano_fabricacao)\n",
        "km_media"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2775.625"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "uoRXMeRDltlQ"
      },
      "source": [
        "# 2.3 Tipos de dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "sW_G6EjWltlQ"
      },
      "source": [
        "Os tipos de dados especificam como números e caracteres serão armazenados e manipulados dentro de um programa. Os tipos de dados básicos do Python são:\n",
        "\n",
        "1. **Números**\n",
        "    1. ***int*** - Inteiros\n",
        "    - ***float*** - Ponto flutuante\n",
        "- **Booleanos** - Assume os valores True ou False. Essencial quando começarmos a trabalhar com declarações condicionais\n",
        "- ***Strings*** - Sequência de um ou mais caracteres que pode incluir letras, números e outros tipos de caracteres. Representa um texto.\n",
        "- **None** - Representa a ausência de valor"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "-HRRxQOtltlQ"
      },
      "source": [
        "### Números"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5PKIcIuUltlR",
        "colab": {}
      },
      "source": [
        "ano_atual = 2019"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "G32Yd1g0ltlT",
        "outputId": "c4069c75-32b4-4369-812c-03c17b8638de",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(ano_atual)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "b9_v__dEltlV",
        "colab": {}
      },
      "source": [
        "km_total = 44410.0"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "A0nySb3LltlZ",
        "outputId": "9545941c-a94d-4dd2-aab4-bad0e4310800",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(km_total)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "float"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "7X9iheAnltld"
      },
      "source": [
        "### Booleanos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "liUYdchPltle",
        "colab": {}
      },
      "source": [
        "zero_km = True"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "oZIQAghaltlh",
        "outputId": "8fc5457f-9de0-41ee-e59a-d51fb0473f5c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(zero_km)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "XCAYApe3ltlj",
        "colab": {}
      },
      "source": [
        "zero_km = False"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mJ0nGEV7ltll",
        "outputId": "d71ffc45-7015-42b3-9a96-36ddebbe7532",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(zero_km)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Ipjq4eiSltlp"
      },
      "source": [
        "### Strings"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OeW_GQzOltlr",
        "outputId": "ba9a34d4-2feb-457d-a90d-0d44075c3108",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "nome = 'Jetta Variant'\n",
        "nome"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Jetta Variant'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xF1Bi-Rkltlu",
        "outputId": "9e48d51f-e5e5-4749-87d2-4cede82484f1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "nome = \"Jetta Variant\"\n",
        "nome"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Jetta Variant'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "QlobSFUtltlw",
        "outputId": "02224b5c-a6b5-452e-84f1-75dbd6978fd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "nome = 'Jetta \"Variant\"'\n",
        "nome"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Jetta \"Variant\"'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "8LBWzzfbltly",
        "outputId": "ee2ade92-7b5b-4ec3-89d2-6b9f6baf87d6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "nome = \"Jetta 'Variant'\"\n",
        "nome"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"Jetta 'Variant'\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ycEhoxtUltl0",
        "colab": {}
      },
      "source": [
        "carro = '''\n",
        "  Nome\n",
        "  Idade\n",
        "  Nota\n",
        "'''"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bjZQzpuUltl2",
        "outputId": "3562f52e-15bc-41a9-cb48-9807a6e82d38",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(carro)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "w6bJU-R9ltl5"
      },
      "source": [
        "### None"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "RgeVhXGxltl5",
        "colab": {}
      },
      "source": [
        "quilometragem = None\n",
        "quilometragem"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "MJI6PKS6ltl8",
        "outputId": "fabb3db4-16dc-477e-c4c2-e37d60958192",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(quilometragem)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NoneType"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "_ilupwV-ltl-"
      },
      "source": [
        "# 2.4 Conversão de tipos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "D5hq5Qbvltl-",
        "colab": {}
      },
      "source": [
        "a = 10\n",
        "b = 20\n",
        "c = 'Python é '\n",
        "d = 'legal'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "aJ0vi8_Nltl_",
        "outputId": "702d6c37-9c1b-4208-ce2f-ddf5f534d678",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(a)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "29FVH7p7ltmB",
        "outputId": "560d1b8d-916d-4f38-c3ee-3f6c658d4844",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(b)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "NGseTO2SltmC",
        "outputId": "a5e26450-c3a9-4c10-e31d-c21d40a41d93",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(c)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "yaSBhwNWltmE",
        "outputId": "1d880a9f-4ed0-41ac-b93f-ff812c33cfe7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(d)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5zMXVwLHltmF",
        "outputId": "0618f3a9-c5cc-45f7-bac2-9ecbc31886a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "a + b"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "30"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "JJrqKRZFltmJ",
        "outputId": "176a4521-9c2c-4264-94bd-dc5554dfc1e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "c + d"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Python é legal'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QDZzu0A813ax",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# c + a"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "dByigpENltmO"
      },
      "source": [
        "### Conversões de tipo\n",
        "\n",
        "Funções int(), float(), str()"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "MtecvWlsltmP",
        "outputId": "017f3720-1110-4b94-bd69-42b7c8d9fbd4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "str(a)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'10'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "S1NuIhDVltmS",
        "outputId": "f32a4fbf-f7bd-4764-825a-47106dfbd2ba",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(str(a))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "3kCUD1X-ltmT",
        "outputId": "25192a17-a9c2-4867-a1d9-b76c7852778c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "c + str(a)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Python é 10'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "TTjSEVRaltmU",
        "outputId": "374090c0-2053-4330-abac-9d0ebbed0975",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "float(a)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "P1P1bXaYltmV",
        "colab": {}
      },
      "source": [
        "var = 3.141592"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "F_8Cn0aAltmW",
        "outputId": "89b9db44-1651-425b-becb-1f98e2288a50",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "int(var)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_KA6MUgmltmY",
        "colab": {}
      },
      "source": [
        "var = 3.99"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "7uiCxqUcltma",
        "outputId": "c46a11fb-793c-4c6d-be41-3366dbf10515",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "int(var)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "gGpflJMYltmd"
      },
      "source": [
        "# 2.5 Indentação, comentários e formatação de *strings*"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "XbijUgqVltmw"
      },
      "source": [
        "### Indentação\n",
        "\n",
        "Na linguagem Python os programas são estruturados por meio de indentação. Em qualquer linguagem de programação a prática da indentação é bastante útil, facilitando a leitura e também a manutenção do código. Em Python a indentação não é somente uma questão de organização e estilo, mas sim um requisito da linguagem."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "DqXANnyultmw",
        "outputId": "21588926-d3a1-4bca-ef68-9219f9edb3a4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ano_atual = 2019\n",
        "ano_fabricacao = 2019\n",
        "\n",
        "if (ano_atual == ano_fabricacao):\n",
        "  print('Verdadeiro')\n",
        "else:\n",
        "  print('Falso')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Verdadeiro\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "dNBfv7x7ltmy"
      },
      "source": [
        "### Comentários\n",
        "\n",
        "Comentários são extremamente importantes em um programa. Consiste em um texto que descreve o que o programa ou uma parte específica do programa está fazendo. Os comentários são ignorados pelo interpretador Python. \n",
        "\n",
        "Podemos ter comentários de uma única linha ou de múltiplas linhas."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GN3DfwiRltmy",
        "outputId": "0e63d7be-7502-4db0-a374-94be2844d848",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Isto é um comentário\n",
        "ano_atual = 2019\n",
        "ano_atual"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2019"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "PICBiohFltm2",
        "outputId": "1eaac9d6-2346-4d52-f025-978224474139",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Isto\n",
        "# é um \n",
        "# comentário\n",
        "ano_atual = 2019\n",
        "ano_atual"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2019"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "PTkJ4Vjultm4",
        "outputId": "ec90e2be-2cdd-44a8-ce7e-f0a08c9a0271",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "'''Isto é um\n",
        "comentário'''\n",
        "ano_atual = 2019\n",
        "ano_atual"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2019"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "SYEGdALxltm5",
        "outputId": "12e109f7-28ef-45e2-fa1c-01ae3fe203f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Definindo variáveis\n",
        "ano_atual = 2019\n",
        "ano_fabricacao = 2019\n",
        "\n",
        "'''\n",
        "Estrutura condicional que vamos \n",
        "aprender na próxima aula\n",
        "'''\n",
        "if (ano_atual == ano_fabricacao):   # Testando se condição é verdadeira\n",
        "  print('Verdadeiro')\n",
        "else:                               # Testando se condição é falsa\n",
        "  print('Falso')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Verdadeiro\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "8--bcJ01ltm8"
      },
      "source": [
        "### Formatação de *strings*"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "CMovhJZ_ltnG"
      },
      "source": [
        "## *str.format()*\n",
        "\n",
        "https://docs.python.org/3.6/library/stdtypes.html#str.format"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "N12xmMehltnG",
        "outputId": "116afa55-c3b8-4782-a7d2-da8c9fd65ef5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print('Olá, {}!'.format('Rodrigo'))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Olá, Rodrigo!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mRBmU9G1ltnJ",
        "outputId": "1dd3bffd-ecc9-42fc-b86c-0425ca6f4aec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print('Olá, {}! Este é seu acesso de número {}'.format('Rodrigo', 32))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Olá, Rodrigo! Este é seu acesso de número 32\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wpqEsTwnltnL",
        "outputId": "39afc7bd-81ab-4dec-b8f2-893b50fb33a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print('Olá, {nome}! Este é seu acesso de número {acessos}'.format(nome = 'Rodrigo', acessos = 32))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Olá, Rodrigo! Este é seu acesso de número 32\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "V-wPNUN9ltnN"
      },
      "source": [
        "## *f-Strings*\n",
        "\n",
        "https://docs.python.org/3.6/reference/lexical_analysis.html#f-strings"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "7Fq_WPv0ltnO",
        "colab": {}
      },
      "source": [
        "nome = 'Rodrigo'\n",
        "acessos = 32"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bE3qbd6WltnR",
        "outputId": "ded2fdba-79cc-4879-d30f-0468b203d244",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(f'Olá, {nome}! Este é seu acesso de número {acessos}')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Olá, Rodrigo! Este é seu acesso de número 32\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "_IZuNE48ltnS"
      },
      "source": [
        "# <font color=green> 3. TRABALHANDO COM LISTAS\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "zhS89xysltnS"
      },
      "source": [
        "# 3.1 Criando listas\n",
        "\n",
        "Listas são sequências **mutáveis** que são utilizadas para armazenar coleções de itens, geralmente homogêneos. Podem ser construídas de várias formas:\n",
        "```\n",
        "- Utilizando um par de colchetes: [ ], [ 1 ]\n",
        "- Utilizando um par de colchetes com itens separados por vírgulas: [ 1, 2, 3 ]\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "aE4UWF10ltnS",
        "outputId": "5c5b7a02-1049-4c16-becd-23fe6d4a76d6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios = ['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva']\n",
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pP7P-9Nfq-Pp",
        "colab_type": "code",
        "outputId": "80f3bf75-ce3e-49fc-ac35-b3d7a0b1646d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(Acessorios)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "list"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Mmlkh5TVltnT"
      },
      "source": [
        "### Lista com tipos de dados variados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Mfpu7NoJltnT",
        "colab": {}
      },
      "source": [
        "Carro_1 = ['Jetta Variant', 'Motor 4.0 Turbo', 2003, 44410.0, False, ['Rodas de liga', 'Travas elétricas', 'Piloto automático'], 88078.64]\n",
        "Carro_2 = ['Passat', 'Motor Diesel', 1991, 5712.0, False, ['Central multimídia', 'Teto panorâmico', 'Freios ABS'], 106161.94]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "EJSJFJjKltnV",
        "outputId": "b4984e9b-3051-40d1-83bb-0e37a71ba775",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Carro_1"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Jetta Variant',\n",
              " 'Motor 4.0 Turbo',\n",
              " 2003,\n",
              " 44410.0,\n",
              " False,\n",
              " ['Rodas de liga', 'Travas elétricas', 'Piloto automático'],\n",
              " 88078.64]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "7MMG7L8VltnX",
        "outputId": "7f6d6a23-6e63-4b42-c771-9c9cb9b15efe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Carro_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Passat',\n",
              " 'Motor Diesel',\n",
              " 1991,\n",
              " 5712.0,\n",
              " False,\n",
              " ['Central multimídia', 'Teto panorâmico', 'Freios ABS'],\n",
              " 106161.94]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "7E8erLgZltnZ",
        "outputId": "30c63abf-ab3a-4a16-b2dd-485398b045a3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "Carros = [Carro_1, Carro_2]\n",
        "Carros"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant',\n",
              "  'Motor 4.0 Turbo',\n",
              "  2003,\n",
              "  44410.0,\n",
              "  False,\n",
              "  ['Rodas de liga', 'Travas elétricas', 'Piloto automático'],\n",
              "  88078.64],\n",
              " ['Passat',\n",
              "  'Motor Diesel',\n",
              "  1991,\n",
              "  5712.0,\n",
              "  False,\n",
              "  ['Central multimídia', 'Teto panorâmico', 'Freios ABS'],\n",
              "  106161.94]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "5yMXJ0xdltna"
      },
      "source": [
        "# 3.2 Operações com listas\n",
        "\n",
        "https://docs.python.org/3.6/library/stdtypes.html#common-sequence-operations"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "YSorJOGlltna"
      },
      "source": [
        "## *x in A*\n",
        "\n",
        "Retorna **True** se um elemento da lista *A* for igual a *x*."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GgSP_nlHltnb",
        "outputId": "560f1de6-8ccb-4abc-8182-ae6a2f2aea10",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_JyyHPmWltnd",
        "outputId": "11d33b84-c01e-4958-b8cc-900652b31311",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "'Rodas de liga' in Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "tebg9gAyltne",
        "outputId": "1dbff7bf-a4ad-4052-86de-946c09696aec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "'4 X 4' in Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "W_1PKJYsltnf",
        "outputId": "2c456315-259b-492d-fddc-888913034b9a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "'Rodas de liga' not in Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "1WNsBXFyltng",
        "outputId": "6773f4d4-838b-4bc6-ff15-116136ada09b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "'4 X 4' not in Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RF6_rf90ltnh"
      },
      "source": [
        "## *A + B*\n",
        "\n",
        "Concatena as listas *A* e *B*."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "8lnzbYnRltnh",
        "colab": {}
      },
      "source": [
        "A = ['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro']\n",
        "B = ['Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "SzbiHHF4ltni",
        "outputId": "c14f70bb-2b70-40d6-fc25-1090d8f81a4e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "A"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "It5Cn5aXltni",
        "outputId": "7e11b36b-2ca2-486b-99ec-5d28d041a100",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "B"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "l7gF4Ph5ltnj",
        "outputId": "8c6e74a9-bb8f-42c5-91bd-21da2fa9dd74",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "A + B"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "iTv5t7zAltnk"
      },
      "source": [
        "## *len(A)*\n",
        "\n",
        "Tamanho da lista A."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "dtbuCDSOltnk",
        "outputId": "847af476-3a75-4b33-cef6-f6d7348b1fa5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "len(Acessorios)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "k7wWCbAmltnl"
      },
      "source": [
        "# 3.3 Seleções em listas"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "uF3NmgUaltnl"
      },
      "source": [
        "## *A[ i ]*\n",
        "\n",
        "Retorna o i-ésimo item da lista *A*.\n",
        "\n",
        "<font color=red>**Observação:**</font> Listas têm indexação com origem no zero."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "f5ct7w1Wltnm",
        "outputId": "3d07ee79-81bc-407d-dfce-7aaabc753fdf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "-BLG7yifltnn",
        "outputId": "81b67355-4a4d-4138-e68a-446dcfdbc093",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios[0]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Rodas de liga'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "SoL6PIjJltno",
        "outputId": "6b39d8a8-e3d1-48f4-c8ca-b35fa820e9e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios[1]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Travas elétricas'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "pGMDc5FLltnq",
        "outputId": "dde88c39-7207-4d89-8d1e-71ea8d6396ea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios[-1]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Sensor de chuva'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "m3AaFe73ltnr",
        "outputId": "48574e4c-dabe-43b5-b27b-4da082f7299e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "Carros"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant',\n",
              "  'Motor 4.0 Turbo',\n",
              "  2003,\n",
              "  44410.0,\n",
              "  False,\n",
              "  ['Rodas de liga', 'Travas elétricas', 'Piloto automático'],\n",
              "  88078.64],\n",
              " ['Passat',\n",
              "  'Motor Diesel',\n",
              "  1991,\n",
              "  5712.0,\n",
              "  False,\n",
              "  ['Central multimídia', 'Teto panorâmico', 'Freios ABS'],\n",
              "  106161.94]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "AeDJviqoltns",
        "outputId": "14e03d44-b334-4681-a471-c39fcaf94847",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Carros[0]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Jetta Variant',\n",
              " 'Motor 4.0 Turbo',\n",
              " 2003,\n",
              " 44410.0,\n",
              " False,\n",
              " ['Rodas de liga', 'Travas elétricas', 'Piloto automático'],\n",
              " 88078.64]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "KdenG1BZltnt",
        "outputId": "509aa465-99d4-4985-d1ad-2bed627764e4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Carros[0][0]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Jetta Variant'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "iOjsfrlFltnu",
        "outputId": "455a370e-31f7-43a7-f3ea-07c2713891dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Carros[0][-2]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga', 'Travas elétricas', 'Piloto automático']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "6BrON70Zltnu",
        "outputId": "b060e6d7-74ec-4719-b9f5-53be2748d115",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Carros[0][-2][1]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Travas elétricas'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "9WgwxPIMltnv"
      },
      "source": [
        "## *A[ i : j ]*\n",
        "\n",
        "Recorta a lista *A* do índice i até o j. Neste fatiamento o elemento com índice i é **incluído** e o elemento com índice j **não é incluído** no resultado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bJzL2PMiltnv",
        "outputId": "b446fd4e-c984-47a1-c23c-a6717cdf8c2e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "sFAlJ4u_ltnw",
        "outputId": "5ebb64bb-9042-4805-d4cc-69655fcda274",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios[2:5]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Piloto automático', 'Bancos de couro', 'Ar condicionado']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "dFdTBWa9ltnz",
        "outputId": "28bf571c-f5aa-43b4-b877-d839ad042418",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "Acessorios[2:]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "yxxB2-_Dltn0",
        "outputId": "9d7fb840-a7df-438b-dfd1-eba42265a268",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "Acessorios[:5]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "R-S-LCPGltn0"
      },
      "source": [
        "# 3.4 Métodos de listas\n",
        "\n",
        "https://docs.python.org/3.6/library/stdtypes.html#mutable-sequence-types"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2siXqYSlAjHR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Acessorios = ['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "j9s2OyyPltn1"
      },
      "source": [
        "## *A.sort()*\n",
        "\n",
        "Ordena a lista *A*."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "A2dJGhFsltn1",
        "outputId": "36e4ddbf-e35c-4336-dfa1-0dc55fe5e058",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "VDWCHlTcltn2",
        "outputId": "73b03d01-80cf-47f1-8943-80aaffe3e5b1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios.sort()\n",
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Rodas de liga',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "N9Spp7-xltn3"
      },
      "source": [
        "## *A.append(x)*\n",
        "\n",
        "Adiciona o elemento *x* no final da lista *A*."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "l7I_U-sRltn4",
        "outputId": "9d9cceee-2650-45d9-9ed8-936d06f051b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        }
      },
      "source": [
        "Acessorios.append('4 X 4')\n",
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Rodas de liga',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas',\n",
              " '4 X 4']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "eiP3oACPltn6"
      },
      "source": [
        "## *A.pop(i)*\n",
        "\n",
        "Remove e retorna o elemento de índice i da lista *A*.\n",
        "\n",
        "<font color=red>**Observação:**</font> Por *default* o método *pop()* remove e retorna o último elemento de uma lista."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "BoCKa5Hqltn6",
        "outputId": "56cab851-1645-40a5-dc22-3dfca7c9ede5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios.pop()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'4 X 4'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GfGX1jw-ltn9",
        "outputId": "58df8e05-e334-416a-8150-3439c0ad6c73",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Rodas de liga',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "tppe9tqbltn-",
        "outputId": "5ac13350-b474-4636-bec3-38d928ef3790",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios.pop(3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Rodas de liga'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Ku6ZHTdJltn_",
        "outputId": "d5f2d24a-9493-4fd6-dd53-2355e922c561",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "NySIp62hltoC"
      },
      "source": [
        "## *A.copy()*\n",
        "\n",
        "Cria uma cópia da lista *A*.\n",
        "\n",
        "<font color=red>**Observação:**</font> O mesmo resultado pode ser obtido com o seguinte código: \n",
        "```\n",
        "A[:]\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "yP9ODygcltoC",
        "outputId": "e0fb860c-d727-42d0-ebdc-e9cbefd78cb1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios_2 = Acessorios\n",
        "Acessorios_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "W3eQdVWkltoF",
        "outputId": "dd2321cf-50a7-4320-88ae-431fb4b917ec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios_2.append('4 X 4')\n",
        "Acessorios_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas',\n",
              " '4 X 4']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OVbvjjmdltoG",
        "outputId": "94423891-c43c-4aed-9feb-7a49b0d74b59",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas',\n",
              " '4 X 4']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "P-MN1JfAltoH",
        "outputId": "2cd4779f-b29e-4cee-e999-588a1bd30bac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios.pop()\n",
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ZVQ38eqVltoJ",
        "outputId": "cd12f600-4f9b-4dd9-b8db-c12683dcacd8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bqPiw5wSltoM",
        "outputId": "f823bea2-eb00-4ea4-a8ca-1c0e7fbed63f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios_2 = Acessorios.copy()\n",
        "Acessorios_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Lo9WgzF6ltoP",
        "outputId": "641e3225-14c5-4bef-e47b-1ebb100dee40",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios_2.append('4 X 4')\n",
        "Acessorios_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas',\n",
              " '4 X 4']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "r2LPHB34ltoQ",
        "outputId": "fb7adddf-6ed2-4deb-d694-2cfcc6969f04",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "UQqUkO8YltoR",
        "outputId": "586f7875-bf0c-4cda-a72d-3aaa6b066045",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "Acessorios_2 = Acessorios[:]\n",
        "Acessorios_2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ar condicionado',\n",
              " 'Bancos de couro',\n",
              " 'Piloto automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Sensor de estacionamento',\n",
              " 'Travas elétricas']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "8zMZNsg2ltoU"
      },
      "source": [
        "# <font color=green> 4. ESTRUTURAS DE REPETIÇÃO E CONDICIONAIS\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "gxUmCLyJltoU"
      },
      "source": [
        "# 4.1 Instrução *for*\n",
        "\n",
        "#### Formato padrão\n",
        "\n",
        "```\n",
        "for <variável> in <coleção>:\n",
        "    <instruções>\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Irl5oa0altoU"
      },
      "source": [
        "### Loops com listas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BaXtCB-IJDf5",
        "colab_type": "code",
        "outputId": "ab6fa9e8-bd8b-4af0-dfd0-106b073530e5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "Acessorios = ['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva']\n",
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Z459QqsFltoY",
        "outputId": "01ae0a1d-6ef7-40f4-ced5-68d809850f87",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "for item in Acessorios:\n",
        "  print(item)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Rodas de liga\n",
            "Travas elétricas\n",
            "Piloto automático\n",
            "Bancos de couro\n",
            "Ar condicionado\n",
            "Sensor de estacionamento\n",
            "Sensor crepuscular\n",
            "Sensor de chuva\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Gbztj9T4ltoZ"
      },
      "source": [
        "###  List comprehensions\n",
        "\n",
        "https://docs.python.org/3.6/tutorial/datastructures.html#list-comprehensions"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "4Y8g0cSHjbof"
      },
      "source": [
        "*range()* -> https://docs.python.org/3.6/library/functions.html#func-range"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xDo9TLdYltoZ",
        "outputId": "8b27c1e2-e61e-41e1-81fa-f4459c05d613",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "range(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "range(0, 10)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "V12p_CQBltoc",
        "outputId": "58d393b6-90ea-48c3-8014-55dc0e82b91b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "list(range(10))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 128
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OOzHHRWHltof",
        "outputId": "a8c755e1-a433-4172-b81a-bd28c9053c03",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        }
      },
      "source": [
        "for i in range(10):\n",
        "  print(i ** 2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0\n",
            "1\n",
            "4\n",
            "9\n",
            "16\n",
            "25\n",
            "36\n",
            "49\n",
            "64\n",
            "81\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "TKynwnxgltog",
        "outputId": "f5dbfc06-fa0d-4175-a778-97c6f847d54a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "quadrado = []\n",
        "for i in range(10):\n",
        "  quadrado.append(i ** 2)\n",
        "  \n",
        "quadrado"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "d77YH_dVltoh",
        "outputId": "6c65b4df-5c8e-4e16-e10a-3cc8825f1a62",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "[i ** 2 for i in range(10)]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 131
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "AcAcaKFXltom"
      },
      "source": [
        "# 4.2 Loops aninhados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mjgJCo3dlton",
        "outputId": "e2be5fa0-8106-461a-fcde-eb540cda459c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "dados = [ \n",
        "    ['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva'],\n",
        "    ['Central multimídia', 'Teto panorâmico', 'Freios ABS', '4 X 4', 'Painel digital', 'Piloto automático', 'Bancos de couro', 'Câmera de estacionamento'],\n",
        "    ['Piloto automático', 'Controle de estabilidade', 'Sensor crepuscular', 'Freios ABS', 'Câmbio automático', 'Bancos de couro', 'Central multimídia', 'Vidros elétricos']\n",
        "]\n",
        "dados"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Rodas de liga',\n",
              "  'Travas elétricas',\n",
              "  'Piloto automático',\n",
              "  'Bancos de couro',\n",
              "  'Ar condicionado',\n",
              "  'Sensor de estacionamento',\n",
              "  'Sensor crepuscular',\n",
              "  'Sensor de chuva'],\n",
              " ['Central multimídia',\n",
              "  'Teto panorâmico',\n",
              "  'Freios ABS',\n",
              "  '4 X 4',\n",
              "  'Painel digital',\n",
              "  'Piloto automático',\n",
              "  'Bancos de couro',\n",
              "  'Câmera de estacionamento'],\n",
              " ['Piloto automático',\n",
              "  'Controle de estabilidade',\n",
              "  'Sensor crepuscular',\n",
              "  'Freios ABS',\n",
              "  'Câmbio automático',\n",
              "  'Bancos de couro',\n",
              "  'Central multimídia',\n",
              "  'Vidros elétricos']]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "pLgxwApVltop",
        "outputId": "9736c8d3-422d-49e6-ccfd-3bcfd4b8d1c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "for lista in dados:\n",
        "  print(lista)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva']\n",
            "['Central multimídia', 'Teto panorâmico', 'Freios ABS', '4 X 4', 'Painel digital', 'Piloto automático', 'Bancos de couro', 'Câmera de estacionamento']\n",
            "['Piloto automático', 'Controle de estabilidade', 'Sensor crepuscular', 'Freios ABS', 'Câmbio automático', 'Bancos de couro', 'Central multimídia', 'Vidros elétricos']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OYnDRvcYltor",
        "outputId": "15bff9d8-0cf9-4e0a-c5b3-f3d0f56d15c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "for lista in dados:\n",
        "  for item in lista:\n",
        "    print(item)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Rodas de liga\n",
            "Travas elétricas\n",
            "Piloto automático\n",
            "Bancos de couro\n",
            "Ar condicionado\n",
            "Sensor de estacionamento\n",
            "Sensor crepuscular\n",
            "Sensor de chuva\n",
            "Central multimídia\n",
            "Teto panorâmico\n",
            "Freios ABS\n",
            "4 X 4\n",
            "Painel digital\n",
            "Piloto automático\n",
            "Bancos de couro\n",
            "Câmera de estacionamento\n",
            "Piloto automático\n",
            "Controle de estabilidade\n",
            "Sensor crepuscular\n",
            "Freios ABS\n",
            "Câmbio automático\n",
            "Bancos de couro\n",
            "Central multimídia\n",
            "Vidros elétricos\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "DbJa5_cJltos",
        "outputId": "562bb546-bda1-43aa-d9fa-10927b330425",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "Acessorios = []\n",
        "\n",
        "for lista in dados:\n",
        "  for item in lista:\n",
        "    Acessorios.append(item)\n",
        "    \n",
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Central multimídia',\n",
              " 'Teto panorâmico',\n",
              " 'Freios ABS',\n",
              " '4 X 4',\n",
              " 'Painel digital',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Câmera de estacionamento',\n",
              " 'Piloto automático',\n",
              " 'Controle de estabilidade',\n",
              " 'Sensor crepuscular',\n",
              " 'Freios ABS',\n",
              " 'Câmbio automático',\n",
              " 'Bancos de couro',\n",
              " 'Central multimídia',\n",
              " 'Vidros elétricos']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 135
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RrGAOy1rn1Dj"
      },
      "source": [
        "## *set()*\n",
        "\n",
        "https://docs.python.org/3.6/library/stdtypes.html#types-set\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "CuB-9ClSltos",
        "outputId": "e3100f75-c94c-4e17-a126-300bec145f45",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "list(set(Acessorios))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Teto panorâmico',\n",
              " 'Sensor de estacionamento',\n",
              " 'Freios ABS',\n",
              " 'Câmbio automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " '4 X 4',\n",
              " 'Painel digital',\n",
              " 'Sensor de chuva',\n",
              " 'Controle de estabilidade',\n",
              " 'Piloto automático',\n",
              " 'Ar condicionado',\n",
              " 'Central multimídia',\n",
              " 'Câmera de estacionamento',\n",
              " 'Bancos de couro',\n",
              " 'Vidros elétricos']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "9hHKKABhltot"
      },
      "source": [
        "### List comprehensions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "T6t79LTlltot",
        "outputId": "44dc9fa6-b753-454e-d614-6b1b1265e9f8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "[item for lista in dados for item in lista]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Ar condicionado',\n",
              " 'Sensor de estacionamento',\n",
              " 'Sensor crepuscular',\n",
              " 'Sensor de chuva',\n",
              " 'Central multimídia',\n",
              " 'Teto panorâmico',\n",
              " 'Freios ABS',\n",
              " '4 X 4',\n",
              " 'Painel digital',\n",
              " 'Piloto automático',\n",
              " 'Bancos de couro',\n",
              " 'Câmera de estacionamento',\n",
              " 'Piloto automático',\n",
              " 'Controle de estabilidade',\n",
              " 'Sensor crepuscular',\n",
              " 'Freios ABS',\n",
              " 'Câmbio automático',\n",
              " 'Bancos de couro',\n",
              " 'Central multimídia',\n",
              " 'Vidros elétricos']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 137
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vhvuh3l8bvHZ",
        "colab_type": "code",
        "outputId": "21f57f6f-69a9-412f-fe7a-e3b37d166cf1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "list(set([item for lista in dados for item in lista]))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Teto panorâmico',\n",
              " 'Sensor de estacionamento',\n",
              " 'Freios ABS',\n",
              " 'Câmbio automático',\n",
              " 'Sensor crepuscular',\n",
              " 'Rodas de liga',\n",
              " 'Travas elétricas',\n",
              " '4 X 4',\n",
              " 'Painel digital',\n",
              " 'Sensor de chuva',\n",
              " 'Controle de estabilidade',\n",
              " 'Piloto automático',\n",
              " 'Ar condicionado',\n",
              " 'Central multimídia',\n",
              " 'Câmera de estacionamento',\n",
              " 'Bancos de couro',\n",
              " 'Vidros elétricos']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "cJ4fPdj5ltou"
      },
      "source": [
        "# 4.3 Instrução *if*\n",
        "\n",
        "#### Formato padrão\n",
        "\n",
        "```\n",
        "if <condição>:\n",
        "     <instruções caso a condição seja verdadeira>\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "bqOYDJiWltou"
      },
      "source": [
        "### Operadores de comparação: $==$, $!=$, $>$, $<$, $>=$, $<=$\n",
        "### e\n",
        "### Operadores lógicos: $and$, $or$, $not$"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5eY_XPmrltov",
        "outputId": "190aa63b-c1bd-4567-8c1a-79fde2fa1867",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        }
      },
      "source": [
        "# 1º item da lista - Nome do veículo\n",
        "# 2º item da lista - Ano de fabricação\n",
        "# 3º item da lista - Veículo é zero km?\n",
        "\n",
        "dados = [\n",
        "    ['Jetta Variant', 2003, False],\n",
        "    ['Passat', 1991, False],\n",
        "    ['Crossfox', 1990, False],\n",
        "    ['DS5', 2019, True],\n",
        "    ['Aston Martin DB4', 2006, False],\n",
        "    ['Palio Weekend', 2012, False],\n",
        "    ['A5', 2019, True],\n",
        "    ['Série 3 Cabrio', 2009, False],\n",
        "    ['Dodge Jorney', 2019, False],\n",
        "    ['Carens', 2011, False]\n",
        "]\n",
        "dados"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant', 2003, False],\n",
              " ['Passat', 1991, False],\n",
              " ['Crossfox', 1990, False],\n",
              " ['DS5', 2019, True],\n",
              " ['Aston Martin DB4', 2006, False],\n",
              " ['Palio Weekend', 2012, False],\n",
              " ['A5', 2019, True],\n",
              " ['Série 3 Cabrio', 2009, False],\n",
              " ['Dodge Jorney', 2019, False],\n",
              " ['Carens', 2011, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "nyb0iDH1ltoy",
        "outputId": "ba456b77-fe06-4081-eaf7-868a4ce3b204",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "zero_km_Y = []\n",
        "\n",
        "for lista in dados:\n",
        "  if(lista[2] == True):\n",
        "    zero_km_Y.append(lista)\n",
        "    \n",
        "zero_km_Y"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['DS5', 2019, True], ['A5', 2019, True]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5MlITJppltoy",
        "outputId": "0f11340d-dadc-4239-bf77-617d38e18c1d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "zero_km_N = []\n",
        "\n",
        "for lista in dados:\n",
        "  if(lista[2] == False):\n",
        "    zero_km_N.append(lista)\n",
        "    \n",
        "zero_km_N"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant', 2003, False],\n",
              " ['Passat', 1991, False],\n",
              " ['Crossfox', 1990, False],\n",
              " ['Aston Martin DB4', 2006, False],\n",
              " ['Palio Weekend', 2012, False],\n",
              " ['Série 3 Cabrio', 2009, False],\n",
              " ['Dodge Jorney', 2019, False],\n",
              " ['Carens', 2011, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "51Js0kXD0aRH"
      },
      "source": [
        "### List comprehensions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Ly4QUX5J0aRI",
        "outputId": "db5f7f54-935a-4c1e-b0d9-6cc32ece769e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "[lista for lista in dados if lista[2] == True]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['DS5', 2019, True], ['A5', 2019, True]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "CKjrvO5Tltoz"
      },
      "source": [
        "# 4.4 Instruções *if-else* e *if-elif-else*\n",
        "\n",
        "#### Formato padrão\n",
        "\n",
        "```\n",
        "if <condição>:\n",
        "    <instruções caso a condição seja verdadeira>\n",
        "else:\n",
        "    <instruções caso a condição não seja verdadeira>\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "K_VORb47ltoz",
        "colab": {}
      },
      "source": [
        "zero_km_Y, zero_km_N = [], []\n",
        "\n",
        "for lista in dados:\n",
        "  if(lista[2] == True):\n",
        "    zero_km_Y.append(lista)\n",
        "  else:\n",
        "    zero_km_N.append(lista)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "vhz5T7jDlto1",
        "outputId": "89b68261-a7a8-455a-926c-214b4113fae6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "zero_km_Y"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['DS5', 2019, True], ['A5', 2019, True]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "XlvlpPjhlto1",
        "outputId": "a06c1e79-2298-4c2b-999a-ecc5a900fdec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "zero_km_N"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant', 2003, False],\n",
              " ['Passat', 1991, False],\n",
              " ['Crossfox', 1990, False],\n",
              " ['Aston Martin DB4', 2006, False],\n",
              " ['Palio Weekend', 2012, False],\n",
              " ['Série 3 Cabrio', 2009, False],\n",
              " ['Dodge Jorney', 2019, False],\n",
              " ['Carens', 2011, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Z2-8WeN1lto2"
      },
      "source": [
        "#### Formato padrão\n",
        "\n",
        "```\n",
        "if <condição 1>:\n",
        "    <instruções caso a condição 1 seja verdadeira>\n",
        "elif <condição 2>:\n",
        "    <instruções caso a condição 2 seja verdadeira>\n",
        "elif <condição 3>:\n",
        "    <instruções caso a condição 3 seja verdadeira>\n",
        "                        .\n",
        "                        .\n",
        "                        .\n",
        "else:\n",
        "    <instruções caso as condições anteriores não sejam verdadeiras>\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ggrbaB4Tlto2",
        "outputId": "1a051d58-845a-41ef-e404-1b542d0672e7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        }
      },
      "source": [
        "dados"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant', 2003, False],\n",
              " ['Passat', 1991, False],\n",
              " ['Crossfox', 1990, False],\n",
              " ['DS5', 2019, True],\n",
              " ['Aston Martin DB4', 2006, False],\n",
              " ['Palio Weekend', 2012, False],\n",
              " ['A5', 2019, True],\n",
              " ['Série 3 Cabrio', 2009, False],\n",
              " ['Dodge Jorney', 2019, False],\n",
              " ['Carens', 2011, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "KJgRc1F9lto3",
        "outputId": "6a7d9930-d052-4490-e595-842893bb8bac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "print('AND')\n",
        "print(f'(True and True) o resultado é: {True and True}')\n",
        "print(f'(True and False) o resultado é: {True and False}')\n",
        "print(f'(False and True) o resultado é: {False and True}')\n",
        "print(f'(False and False) o resultado é: {False and False}')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "AND\n",
            "(True and True) o resultado é: True\n",
            "(True and False) o resultado é: False\n",
            "(False and True) o resultado é: False\n",
            "(False and False) o resultado é: False\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "sb0mSh-o0aRM",
        "outputId": "1261ee67-ebde-43d5-daec-3834168db759",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "print('OR')\n",
        "print(f'(True or True) o resultado é: {True or True}')\n",
        "print(f'(True or False) o resultado é: {True or False}')\n",
        "print(f'(False or True) o resultado é: {False or True}')\n",
        "print(f'(False or False) o resultado é: {False or False}')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "OR\n",
            "(True or True) o resultado é: True\n",
            "(True or False) o resultado é: True\n",
            "(False or True) o resultado é: True\n",
            "(False or False) o resultado é: False\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "AfNdTPzElto3",
        "colab": {}
      },
      "source": [
        "A, B, C = [], [], []\n",
        "\n",
        "for lista in dados:\n",
        "  if(lista[1] <=2000):\n",
        "    A.append(lista)\n",
        "  elif(lista[1] > 2000 and lista[1] <= 2010):\n",
        "    B.append(lista)\n",
        "  else:\n",
        "    C.append(lista)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5bN7SuvTlto4",
        "outputId": "c1f31eb7-d512-4302-fe64-1f9d843acd1d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "A"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Passat', 1991, False], ['Crossfox', 1990, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "dDEl3Vfglto4",
        "outputId": "7c38a301-d325-4024-fbdc-b7e5682f9bb3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "B"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Jetta Variant', 2003, False],\n",
              " ['Aston Martin DB4', 2006, False],\n",
              " ['Série 3 Cabrio', 2009, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 151
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Ot4HLQlelto5",
        "outputId": "a9fb06a5-f72b-45a4-954e-baf403e189ea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "C"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['DS5', 2019, True],\n",
              " ['Palio Weekend', 2012, False],\n",
              " ['A5', 2019, True],\n",
              " ['Dodge Jorney', 2019, False],\n",
              " ['Carens', 2011, False]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 152
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FN26ZBKJlto5",
        "colab": {}
      },
      "source": [
        "A, B, C = [], [], []\n",
        "\n",
        "for lista in dados:\n",
        "  if(lista[1] <=2000):\n",
        "    A.append(lista)\n",
        "  elif(2000 < lista[1] <= 2010):\n",
        "    B.append(lista)\n",
        "  else:\n",
        "    C.append(lista)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "aRfQfubxlto6"
      },
      "source": [
        "# <font color=green> 5. NUMPY BÁSICO\n",
        "---\n",
        "\n",
        "Numpy é a abreviação de Numerical Python e é um dos pacotes mais importantes para processamento numérico em Python. Numpy oferece a base para a maioria dos pacotes de aplicações científicas que utilizem dados numéricos em Python (estruturas de dados e algoritmos). Pode-se destacar os seguintes recursos que o pacote Numpy contém:\n",
        "\n",
        "- Um poderoso objeto array multidimensional;\n",
        "- Funções matemáticas sofisticadas para operações com arrays sem a necessidade de utilização de laços *for*;\n",
        "- Recursos de algebra linear e geração de números aleatórios\n",
        "\n",
        "Além de seus óbvios usos científicos, o pacote NumPy também é muito utilizado em análise de dados como um eficiente contêiner multidimensional de dados genéricos para transporte entre diversos algoritmos e bibliotecas em Python.\n",
        "\n",
        "**Versão:** 1.16.5\n",
        "\n",
        "**Instalação:** https://scipy.org/install.html\n",
        "\n",
        "**Documentação:** https://numpy.org/doc/1.16/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RtG2-g1ultme"
      },
      "source": [
        "### Pacotes\n",
        "\n",
        "Existem diversos pacotes Python disponíveis para download na internet. Cada pacote tem como objetivo a solução de determinado tipo de problema e para isso são desenvolvidos novos tipos, funções e métodos.\n",
        "\n",
        "Alguns pacotes são bastante utilizados em um contexto de ciência de dados como por exemplo:\n",
        "\n",
        "- Numpy\n",
        "- Pandas\n",
        "- Scikit-learn\n",
        "- Matplotlib\n",
        "\n",
        "Alguns pacotes não são distribuídos com a instalação default do Python. Neste caso devemos instalar os pacotes que necessitamos em nosso sistema para podermos utilizar suas funcionalidades."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "b8prsQjmltme"
      },
      "source": [
        "### Importando todo o pacote"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "lP0tqXHLltmf",
        "colab": {}
      },
      "source": [
        "import numpy"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ESliJKAaQMRY",
        "colab_type": "text"
      },
      "source": [
        "https://numpy.org/doc/1.16/reference/generated/numpy.arange.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Y40UP3K7ltmg",
        "outputId": "4bc20af2-67b1-4f8f-cf46-27fe313eedcb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "numpy.arange(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 155
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "84-53f4Lltmh"
      },
      "source": [
        "### Importando todo o pacote e atribuindo um novo nome "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "CzESWck7ltmi",
        "colab": {}
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "RC7Dr5Viltmj",
        "outputId": "23f030c8-efba-424d-9152-68df78f93bb9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "np.arange(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 157
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "WWawttSpltml"
      },
      "source": [
        "### Importando parte do pacote"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "8kTeo3Ltltmo",
        "colab": {}
      },
      "source": [
        "from numpy import arange"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "4LPnpiEwltmt",
        "outputId": "68f50f02-b83c-4d03-f1c3-adfc14fe097e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "arange(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 159
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "VSmffnCklto6"
      },
      "source": [
        "# 5.1 Criando arrays Numpy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Wqpin_-Plto8",
        "colab": {}
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ock4Ku-Ulto8"
      },
      "source": [
        "### A partir de listas\n",
        "\n",
        "https://numpy.org/doc/1.16/user/basics.creation.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "82H-09CQlto9",
        "colab": {}
      },
      "source": [
        "km = np.array([1000, 2300, 4987, 1500])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "8VYE3JSYlto9",
        "outputId": "4b854bf7-f50f-4c6b-f114-f982465a3812",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1000, 2300, 4987, 1500])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OBsa5Cfplto-",
        "outputId": "d61e1fc9-be50-4909-d77d-8f00b99cee14",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "type(km)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 163
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RfQ3jJSAlto-"
      },
      "source": [
        "https://numpy.org/doc/1.16/user/basics.types.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "6yLpkJcAlto-",
        "outputId": "76287c4d-5b11-4ec9-ba8f-cd3b4e5cbe92",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km.dtype"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('int64')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 164
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "1pFx86QPlto_"
      },
      "source": [
        "### A partir de dados externos\n",
        "\n",
        "https://numpy.org/doc/1.16/reference/generated/numpy.loadtxt.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "26pQLNgrlto_",
        "colab": {}
      },
      "source": [
        "km = np.loadtxt(fname = 'carros-km.txt', dtype = int)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FoP42bdpltpA",
        "scrolled": true,
        "outputId": "130eafba-b380-4232-f4c5-3507ad60f65b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 578
        }
      },
      "source": [
        "km"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 44410,   5712,  37123,      0,  25757,  10728,      0,  77599,\n",
              "        99197,  37978,  12859,   8052,  89773,      0,  41457, 115607,\n",
              "        46449,      0,  37086,  15173, 101193,      0,  98079, 102959,\n",
              "            0,      0,   5795,      0,  58848,  94381,  30163,  53332,\n",
              "        17720,  33808,  90684,  43975,      0,      0,   5526,      0,\n",
              "        93415,  40762,      0,  86302,      0,   9755,  69945,   2395,\n",
              "            0,  80349,  85554,  50496,  67716,  93947,  35345,  81007,\n",
              "       119513,      0,      0,      0,      0,      0, 118895,  48509,\n",
              "       100912,  95649,      0,  90495,      0,  29132,  23802,  84992,\n",
              "        54395,  26731,  44329, 118236, 113808,    610,      0,      0,\n",
              "        12887,  79607,  90924,  42733,      0,      0, 117714, 113885,\n",
              "            0,  30511,  74867, 119760,   8356,  64247,  88661,   4539,\n",
              "       110116,  33215,  92001,      0,  81708,  70641,      0,  91277,\n",
              "        26544,  52596,  47503,  89056,  28834, 110564,  56638,  17357,\n",
              "        74015,  15196,      0,  10821,      0,      0,   9595,  99052,\n",
              "        52389, 119945,  96005,  31639,      0,  80187,      0,  58212,\n",
              "        61672,  32017,      0,  56944,      0,  86519,   4821, 101025,\n",
              "        30705,      0,  32555, 103389,      0,  55289,      0,      0,\n",
              "       115930,  66437,  96800,  14237,  19896, 113045, 114942,   3173,\n",
              "        83611,  25356,  88634,   2314,   2627,  52034,      0,      0,\n",
              "        79577, 108201,  76453,  57683,  96610, 109001,  26212,  45971,\n",
              "        49182,  49907,  38620,  60996,  73914, 107392,   9146,      0,\n",
              "        17924,      0, 116949,  20476,  52804,   8849,  91724,  32056,\n",
              "        74886,      0,      0,  52189,  83559,      0,  20328,      0,\n",
              "        75577,  33659, 104341,  25510,  18965,  87161,   6652,  55738,\n",
              "            0,      0,      0,  64320,      0,  68678,  71697,      0,\n",
              "        34783,  33772,  85127,  13606,  35647,  95128,  14046,  41194,\n",
              "            0,  96100, 103900,  43814,  24638,      0, 110966,  15987,\n",
              "        53369,  10077,  71544,    107,   8394,  41498, 116002, 100858,\n",
              "        67475,   8497,   4420,      0,  58537,      0,      0, 112016,\n",
              "        91840, 112787,      0,      0,   9293,      0,  55083,  48796,\n",
              "            0,  89685,  85384,  98108,  71280,  27505,  29981,  52637,\n",
              "         7685,  50188])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "MNPjZJbYltpA",
        "outputId": "2ba7968f-9e73-43f1-db42-a34919905f9e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km.dtype"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('int64')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 167
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "_wnTg0wJltpB"
      },
      "source": [
        "### Arrays com duas dimensões"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Gt1dL27GltpB",
        "scrolled": true,
        "outputId": "1532662c-fb68-4046-fcd8-67651d0a11aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "dados = [ \n",
        "    ['Rodas de liga', 'Travas elétricas', 'Piloto automático', 'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento', 'Sensor crepuscular', 'Sensor de chuva'],\n",
        "    ['Central multimídia', 'Teto panorâmico', 'Freios ABS', '4 X 4', 'Painel digital', 'Piloto automático', 'Bancos de couro', 'Câmera de estacionamento'],\n",
        "    ['Piloto automático', 'Controle de estabilidade', 'Sensor crepuscular', 'Freios ABS', 'Câmbio automático', 'Bancos de couro', 'Central multimídia', 'Vidros elétricos']\n",
        "]\n",
        "dados"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Rodas de liga',\n",
              "  'Travas elétricas',\n",
              "  'Piloto automático',\n",
              "  'Bancos de couro',\n",
              "  'Ar condicionado',\n",
              "  'Sensor de estacionamento',\n",
              "  'Sensor crepuscular',\n",
              "  'Sensor de chuva'],\n",
              " ['Central multimídia',\n",
              "  'Teto panorâmico',\n",
              "  'Freios ABS',\n",
              "  '4 X 4',\n",
              "  'Painel digital',\n",
              "  'Piloto automático',\n",
              "  'Bancos de couro',\n",
              "  'Câmera de estacionamento'],\n",
              " ['Piloto automático',\n",
              "  'Controle de estabilidade',\n",
              "  'Sensor crepuscular',\n",
              "  'Freios ABS',\n",
              "  'Câmbio automático',\n",
              "  'Bancos de couro',\n",
              "  'Central multimídia',\n",
              "  'Vidros elétricos']]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 168
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "IlbYeZPkltpC",
        "colab": {}
      },
      "source": [
        "Acessorios = np.array(dados)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FgjmWozgltpD",
        "scrolled": true,
        "outputId": "5e0b834a-664d-4fd3-c399-1ffebf8b80a7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        }
      },
      "source": [
        "Acessorios"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([['Rodas de liga', 'Travas elétricas', 'Piloto automático',\n",
              "        'Bancos de couro', 'Ar condicionado', 'Sensor de estacionamento',\n",
              "        'Sensor crepuscular', 'Sensor de chuva'],\n",
              "       ['Central multimídia', 'Teto panorâmico', 'Freios ABS', '4 X 4',\n",
              "        'Painel digital', 'Piloto automático', 'Bancos de couro',\n",
              "        'Câmera de estacionamento'],\n",
              "       ['Piloto automático', 'Controle de estabilidade',\n",
              "        'Sensor crepuscular', 'Freios ABS', 'Câmbio automático',\n",
              "        'Bancos de couro', 'Central multimídia', 'Vidros elétricos']],\n",
              "      dtype='<U24')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "TDM9HskUltpD",
        "outputId": "d06665fe-379b-4e90-a248-ba67c0b482b7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "km.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(258,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 171
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bBmnzpF5ltpE",
        "outputId": "ee4fbd2a-b36b-4a39-f788-a3047cba9ed6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "Acessorios.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3, 8)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 172
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "cPbkST9pltpE"
      },
      "source": [
        "### Comparando desempenho com listas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "tTPC-G4vltpE",
        "colab": {}
      },
      "source": [
        "np_array = np.arange(1000000)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "PIC-ndg9ltpF",
        "colab": {}
      },
      "source": [
        "py_list = list(range(1000000))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "vXy57nk2ltpF",
        "outputId": "ce240fa1-b8c5-49da-95a5-e7bc5f50c5d7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "%time for _ in range(100): np_array *= 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 65.1 ms, sys: 0 ns, total: 65.1 ms\n",
            "Wall time: 71.9 ms\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "I94lVgCRltpG",
        "outputId": "5a3c2923-272b-4278-c29e-43f60193479a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "%time for _ in range(100): py_list = [x * 2 for x in py_list]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 7.91 s, sys: 1.7 s, total: 9.61 s\n",
            "Wall time: 9.81 s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ul4MuKyTltpG"
      },
      "source": [
        "# 5.2 Operações aritméticas com arrays Numpy"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "QwnxO_rYltpH"
      },
      "source": [
        "### Operações entre arrays e constantes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "63KVHPK0ltpH",
        "colab": {}
      },
      "source": [
        "km = [44410., 5712., 37123., 0., 25757.]\n",
        "anos = [2003, 1991, 1990, 2019, 2006]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "AryIZaBIltpH",
        "outputId": "f0760f64-de9d-4bb9-f937-d06e89ef9286",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 164
        }
      },
      "source": [
        "# idade = 2019 - anos"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-213-4084c5e6fc93>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0midade\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2019\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0manos\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for -: 'int' and 'list'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "s8GvEk4HltpI",
        "colab": {}
      },
      "source": [
        "km = np.array([44410., 5712., 37123., 0., 25757.])\n",
        "anos = np.array([2003, 1991, 1990, 2019, 2006])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "aUnYV7OultpI",
        "colab": {}
      },
      "source": [
        "idade = 2019 - anos"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "vg5yZ9IpltpJ",
        "outputId": "a2435cc8-d520-4dc7-c9a1-55f5ab59cf43",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "idade"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([16, 28, 29,  0, 13])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 216
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "qn1PUsM9ltpJ"
      },
      "source": [
        "### Operações entre arrays"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "gU_d5aZkltpJ",
        "outputId": "367edac6-328c-457e-cc8e-8acd91db9cbf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "km_media = km / idade"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c0JFxj3GWbPc",
        "colab_type": "code",
        "outputId": "92714bc3-1efc-4dc6-de0e-d5dc1687b0f1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "km_media"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2775.625     ,  204.        , 1280.10344828,           nan,\n",
              "       1981.30769231])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 218
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "U9DXntUEltpK",
        "outputId": "3cafeea3-1910-4381-f8ef-1d22bee421da",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "44410 / (2019 - 2003)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2775.625"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 219
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "n0rPxgY1ltpL",
        "outputId": "30442b2a-d0e8-4d79-f09a-a092880a392f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "5712 / (2019 - 1991)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "204.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 220
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "o4-gsGICltpN"
      },
      "source": [
        "### Operações com arrays de duas dimensões"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "VT71Pbb3ltpN",
        "colab": {}
      },
      "source": [
        "dados = np.array([km, anos])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bgDe00q8ltpO",
        "outputId": "cb302512-1e5b-464e-90a1-52a0dfeb7834",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "dados"
      ],
      "execution_count": 228,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 228
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jIQU2ugKltpP",
        "outputId": "94f656e0-abf2-4c6e-9588-1acdb01cc5a6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dados.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 5)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 223
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "dsgz-E5ZltpP"
      },
      "source": [
        "![1410-img01.png](https://caelum-online-public.s3.amazonaws.com/1410-pythondatascience/01/1410-img01.png)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "imANn6HultpQ",
        "outputId": "df9a1d82-7833-4e72-fbc2-e1444e7d3d4e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dados[0]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([44410.,  5712., 37123.,     0., 25757.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 224
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Nkp9ljkvltpQ",
        "outputId": "c3d36db8-b53f-4376-f6ae-555eccc9bbaf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dados[1]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2003., 1991., 1990., 2019., 2006.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 225
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "njJ2z3HJltpR",
        "outputId": "886b7799-dbcc-452e-e442-e976732362a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "km_media = dados[0] / (2019 - dados[1])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ryS0CQnqXzUl",
        "colab_type": "code",
        "outputId": "b4976326-01fc-4feb-da6e-bf60c8cb9170",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "km_media"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2775.625     ,  204.        , 1280.10344828,           nan,\n",
              "       1981.30769231])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 227
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "4CAwtS0-ltpR"
      },
      "source": [
        "# 5.3 Seleções com arrays Numpy"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "QDAT1vODltpS"
      },
      "source": [
        "![1410-img01.png](https://caelum-online-public.s3.amazonaws.com/1410-pythondatascience/01/1410-img01.png)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "nZpPGS2TltpS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "dad558ba-b297-49e7-826f-f1eb9f2d70c8"
      },
      "source": [
        "dados"
      ],
      "execution_count": 259,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 259
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "b--BIPcOltpT"
      },
      "source": [
        "![1410-img02.png](https://caelum-online-public.s3.amazonaws.com/1410-pythondatascience/01/1410-img02.png)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "86-hOHa7ltpT"
      },
      "source": [
        "### Indexação \n",
        "\n",
        "<font color=red>**Observação:**</font> A indexação tem origem no zero."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mr0Q_X0JltpT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "12734486-8d3f-49eb-f384-b09706c9b00c"
      },
      "source": [
        "contador = np.arange(10)\n",
        "contador"
      ],
      "execution_count": 260,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 260
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "VxiR_IgdltpU",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "953101a0-0ca7-4637-bf0c-d9ec4c27a3a2"
      },
      "source": [
        "contador[0]"
      ],
      "execution_count": 261,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 261
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xGDomIyAltpU",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "20c944bc-4ef3-475d-c522-2ad9db101eb6"
      },
      "source": [
        "item = 6\n",
        "index = item - 1\n",
        "contador[index]"
      ],
      "execution_count": 264,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 264
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "QEO5Za5PltpV",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "3fdc3cde-250c-42ed-9a8e-61c79af16f9c"
      },
      "source": [
        "contador[-1]"
      ],
      "execution_count": 265,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 265
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "rvkeMK8KltpV",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "eaf42c1d-9743-46fd-de27-f0e58339c25f"
      },
      "source": [
        "dados[0]"
      ],
      "execution_count": 266,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([44410.,  5712., 37123.,     0., 25757.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 266
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "X8c-lJRJltpW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "08a9a52c-1283-4153-960e-f284405c00b0"
      },
      "source": [
        "dados[1]"
      ],
      "execution_count": 267,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2003., 1991., 1990., 2019., 2006.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 267
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "fCWUSI1zltpZ"
      },
      "source": [
        "## <font color=green>**Dica:**</font>\n",
        "### *ndarray[ linha ][ coluna ]* ou *ndarray[ linha, coluna ]*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Nxc3uY-ZltpZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "639eaf96-0c6e-4152-d1c9-12db31afb48f"
      },
      "source": [
        "dados[1][2]"
      ],
      "execution_count": 268,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1990.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 268
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xp8ByjualtpZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "63441441-6827-4630-9bfd-6b4e7322445f"
      },
      "source": [
        "dados[1, 2]"
      ],
      "execution_count": 269,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1990.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 269
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "7osmTUC4ltpa"
      },
      "source": [
        " ### Fatiamentos\n",
        " \n",
        "A sintaxe para realizar fatiamento em um array Numpy é $i : j : k$ onde $i$ é o índice inicial, $j$ é o índice de parada, e $k$ é o indicador de passo ($k\\neq0$)\n",
        " \n",
        "<font color=red>**Observação:**</font> Nos fatiamentos (*slices*) o item com índice i é **incluído** e o item com índice j **não é incluído** no resultado."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "HEx4TbNlltpa"
      },
      "source": [
        "![1410-img01.png](https://caelum-online-public.s3.amazonaws.com/1410-pythondatascience/01/1410-img01.png)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "tlaD1SENltpb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "87ec2957-25f2-4f08-8a5e-9a1e41d52113"
      },
      "source": [
        "contador = np.arange(10)\n",
        "contador"
      ],
      "execution_count": 270,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 270
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "vXLIO1cVltpc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "4e4f2558-0649-40f3-829b-929ecb8d69a2"
      },
      "source": [
        "contador[1:4]"
      ],
      "execution_count": 271,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 2, 3])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 271
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "kYLgsQcHltpc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "79fec448-fe6a-4d74-b02a-c9ef83fce0c2"
      },
      "source": [
        "contador[1:8:2]"
      ],
      "execution_count": 272,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 3, 5, 7])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 272
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "H2MJpIasltpd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "043d42d0-fc55-4f54-bcae-9e4ad6070e21"
      },
      "source": [
        "contador[::2]"
      ],
      "execution_count": 273,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 2, 4, 6, 8])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 273
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "YVzf4fNCltpe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "69d71f33-373c-4576-fa52-63b8e6378946"
      },
      "source": [
        "contador[1::2]"
      ],
      "execution_count": 274,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 3, 5, 7, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 274
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bPyQsUFPltpf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "2822cb28-ae29-4fb0-87d4-23984777ad78"
      },
      "source": [
        "dados"
      ],
      "execution_count": 275,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 275
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "IRxfixG-ltpg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "15e3c2f7-f857-4cac-ad06-5a8fbdda8f03"
      },
      "source": [
        "dados[:, 1:3]"
      ],
      "execution_count": 277,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 5712., 37123.],\n",
              "       [ 1991.,  1990.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 277
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wfoJ84haltph",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "16103cd9-c737-4a5a-f373-28c1086e563a"
      },
      "source": [
        "dados[:, 1:3][0] / (2019 - dados[:, 1:3][1])"
      ],
      "execution_count": 280,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 204.        , 1280.10344828])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 280
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "UeejSXUAltph",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "9a35896c-56a0-4535-ecc0-a7704dc89bd7"
      },
      "source": [
        "dados[0] / (2019 - dados[1])"
      ],
      "execution_count": 281,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2775.625     ,  204.        , 1280.10344828,           nan,\n",
              "       1981.30769231])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 281
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "-fW4EXIqltpi"
      },
      "source": [
        "### Indexação com array booleano\n",
        "\n",
        "<font color=red>**Observação:**</font> Seleciona um grupo de linhas e colunas segundo os rótulos ou um array booleano."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "MgmH-rCSltpi",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5be86ecf-58f8-4793-d1ee-ff154c5081fb"
      },
      "source": [
        "contador = np.arange(10)\n",
        "contador"
      ],
      "execution_count": 282,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 282
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "HN1i-BlLltpj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "d115f272-b3e7-47dc-ca76-72388da6fb84"
      },
      "source": [
        "contador > 5"
      ],
      "execution_count": 283,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([False, False, False, False, False, False,  True,  True,  True,\n",
              "        True])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 283
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "iXJa9tL4ltpj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "0e405090-1181-470e-a2e3-2b1072036078"
      },
      "source": [
        "contador[contador > 5]"
      ],
      "execution_count": 284,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 284
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "54gH6X5eltpk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "21b6726b-9269-4f69-fba5-66b02598968a"
      },
      "source": [
        "contador[[False, False, False, False, False, False,  True,  True,  True, True]]"
      ],
      "execution_count": 285,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 285
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "F3z6zMELltpk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "c65506f7-2711-4d81-b676-7548e31653ea"
      },
      "source": [
        "dados"
      ],
      "execution_count": 286,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 286
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "pk8A68z1ltpl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "8948253f-c44f-4b05-90c5-902b94099b5a"
      },
      "source": [
        "dados[1] > 2000"
      ],
      "execution_count": 288,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ True, False, False,  True,  True])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 288
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "WUVMN29_ltpm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "e6eb2c94-480a-4874-a9af-f4e965a2edef"
      },
      "source": [
        "dados[:, dados[1] > 2000]"
      ],
      "execution_count": 289,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,     0., 25757.],\n",
              "       [ 2003.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 289
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Acw1DffHltpn"
      },
      "source": [
        "# 5.4 Atributos e métodos de arrays Numpy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kEoY55E4ooAx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "491592a8-9639-4ddd-d757-c006d7c87728"
      },
      "source": [
        "dados = np.array([[44410., 5712., 37123., 0., 25757.],\n",
        "                  [2003, 1991, 1990, 2019, 2006]])\n",
        "dados"
      ],
      "execution_count": 329,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 329
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RBnSne6Eltpo"
      },
      "source": [
        "### Atributos\n",
        "\n",
        "https://numpy.org/doc/1.16/reference/arrays.ndarray.html#array-attributes"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "uKqPxg2Zltpo"
      },
      "source": [
        "## *ndarray.shape*\n",
        "\n",
        "Retorna uma tupla com as dimensões do array."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "gmaZhF04ltpp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "dc33bea8-05b6-48ec-e5fa-58869874a7ad"
      },
      "source": [
        "dados.shape"
      ],
      "execution_count": 330,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 5)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 330
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "XaY6oXkmltpp"
      },
      "source": [
        "## *ndarray.ndim*\n",
        "\n",
        "Retorna o número de dimensões do array."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "inJ4HDjaltpq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "288de8b7-1ae1-409c-ad8d-a1e895e76b97"
      },
      "source": [
        "dados.ndim"
      ],
      "execution_count": 331,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 331
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ESgVt5xOltpq"
      },
      "source": [
        "## *ndarray.size*\n",
        "\n",
        "Retorna o número de elementos do array."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "BWr4efoiltpq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b88d68a3-7a85-4fa2-b646-90f0d47eaf28"
      },
      "source": [
        "dados.size"
      ],
      "execution_count": 332,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 332
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Ox8JlBM3ltpr"
      },
      "source": [
        "## *ndarray.dtype*\n",
        "\n",
        "Retorna o tipo de dados dos elementos do array."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "npiL84Vfltpu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "9ebfea4a-c46b-408b-b9bd-89476db27f6c"
      },
      "source": [
        "dados.dtype"
      ],
      "execution_count": 333,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('float64')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 333
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "j7uPN16oltpv"
      },
      "source": [
        "## *ndarray.T*\n",
        "\n",
        "Retorna o array transposto, isto é, converte linhas em colunas e vice versa."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bLjrrx56ltpv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "902b1c28-8b47-4d87-ab0a-a9f269c55820"
      },
      "source": [
        "dados.T"
      ],
      "execution_count": 334,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  2003.],\n",
              "       [ 5712.,  1991.],\n",
              "       [37123.,  1990.],\n",
              "       [    0.,  2019.],\n",
              "       [25757.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 334
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5A9SlJQvltpw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "8ae844f5-5093-40db-dc26-235d2bf7b5f7"
      },
      "source": [
        "dados.transpose()"
      ],
      "execution_count": 335,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  2003.],\n",
              "       [ 5712.,  1991.],\n",
              "       [37123.,  1990.],\n",
              "       [    0.,  2019.],\n",
              "       [25757.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 335
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "e9r6ryTrltpw"
      },
      "source": [
        "### Métodos\n",
        "\n",
        "https://numpy.org/doc/1.16/reference/arrays.ndarray.html#array-methods"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "SR9KYy-0ltpw"
      },
      "source": [
        "## *ndarray.tolist()*\n",
        "\n",
        "Retorna o array como uma lista Python."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "C2aTAwOXltpw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "dce3693b-cc04-487b-ce6a-1bc88ddf3ae2"
      },
      "source": [
        "dados.tolist()"
      ],
      "execution_count": 336,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[[44410.0, 5712.0, 37123.0, 0.0, 25757.0],\n",
              " [2003.0, 1991.0, 1990.0, 2019.0, 2006.0]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 336
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "bHxcxugPltpx"
      },
      "source": [
        "## *ndarray.reshape(shape[, order])*\n",
        "\n",
        "Retorna um array que contém os mesmos dados com uma nova forma."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "lwESxO71ltpx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "838bc92a-5964-4e73-9032-40d7da2b666e"
      },
      "source": [
        "contador = np.arange(10)\n",
        "contador"
      ],
      "execution_count": 337,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 337
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "sh9poyfzltpy",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "6319b496-2d14-4348-b95a-bd8b3660f10f"
      },
      "source": [
        "contador.reshape((5, 2))"
      ],
      "execution_count": 338,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 1],\n",
              "       [2, 3],\n",
              "       [4, 5],\n",
              "       [6, 7],\n",
              "       [8, 9]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 338
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5332Xu8-ltpy",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "a96f8cfd-5b1c-4d05-b558-005e67d694c3"
      },
      "source": [
        "contador.reshape((5, 2), order='C')"
      ],
      "execution_count": 339,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 1],\n",
              "       [2, 3],\n",
              "       [4, 5],\n",
              "       [6, 7],\n",
              "       [8, 9]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 339
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "2RoZvbgHltpz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "87827a01-64d1-4272-c28e-829a9c34b1d1"
      },
      "source": [
        "contador.reshape((5, 2), order='F')"
      ],
      "execution_count": 340,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 5],\n",
              "       [1, 6],\n",
              "       [2, 7],\n",
              "       [3, 8],\n",
              "       [4, 9]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 340
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "6q0dJZ-dltp0",
        "colab": {}
      },
      "source": [
        "km = [44410, 5712, 37123, 0, 25757]\n",
        "anos = [2003, 1991, 1990, 2019, 2006]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bs56aGrkltp0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "9d53b8f7-4482-47b4-a879-98f5f984d1a6"
      },
      "source": [
        "info_carros = km + anos\n",
        "info_carros"
      ],
      "execution_count": 342,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[44410, 5712, 37123, 0, 25757, 2003, 1991, 1990, 2019, 2006]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 342
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "s_GkTk2fltp1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "f4717e99-b542-45a6-e5be-622799ffb9c8"
      },
      "source": [
        "np.array(info_carros).reshape((2, 5))"
      ],
      "execution_count": 344,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410,  5712, 37123,     0, 25757],\n",
              "       [ 2003,  1991,  1990,  2019,  2006]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 344
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xodm8DVZltp1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "6c27169d-c1b1-48ce-b2cd-ce3c5ec982dd"
      },
      "source": [
        "np.array(info_carros).reshape((5, 2), order='F')"
      ],
      "execution_count": 346,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410,  2003],\n",
              "       [ 5712,  1991],\n",
              "       [37123,  1990],\n",
              "       [    0,  2019],\n",
              "       [25757,  2006]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 346
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Tdj5iArbltp2"
      },
      "source": [
        "## *ndarray.resize(new_shape[, refcheck])*\n",
        "\n",
        "Altera a forma e o tamanho do array."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "vB2zxCDtltp2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "55be215e-ca3e-4ed6-f3b8-f4a9da481062"
      },
      "source": [
        "dados_new = dados.copy()\n",
        "dados_new"
      ],
      "execution_count": 347,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 347
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "IMv0m4Multp2",
        "colab": {}
      },
      "source": [
        "dados_new.resize((3, 5), refcheck=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wpAi9928ltp3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "d0227da8-f9e6-4e35-adf4-5ac29911f5d8"
      },
      "source": [
        "dados_new"
      ],
      "execution_count": 350,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.,  5712., 37123.,     0., 25757.],\n",
              "       [ 2003.,  1991.,  1990.,  2019.,  2006.],\n",
              "       [    0.,     0.,     0.,     0.,     0.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 350
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "CJyuKqaFltp3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "392ce0ff-b3ed-4c8a-f77f-b219ebcb4bb0"
      },
      "source": [
        "dados_new[2] = dados_new[0] / (2019 - dados_new[1])"
      ],
      "execution_count": 351,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bj_iPZAultp4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        },
        "outputId": "a58a97c8-7d6d-438f-9e27-30f2ea63e0c7"
      },
      "source": [
        "dados_new"
      ],
      "execution_count": 352,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[44410.        ,  5712.        , 37123.        ,     0.        ,\n",
              "        25757.        ],\n",
              "       [ 2003.        ,  1991.        ,  1990.        ,  2019.        ,\n",
              "         2006.        ],\n",
              "       [ 2775.625     ,   204.        ,  1280.10344828,            nan,\n",
              "         1981.30769231]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 352
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "GPSk7Q_Dltp4"
      },
      "source": [
        "# 5.5 Estatísticas com arrays Numpy\n",
        "\n",
        "https://numpy.org/doc/1.16/reference/arrays.ndarray.html#calculation\n",
        "\n",
        "e\n",
        "\n",
        "https://numpy.org/doc/1.16/reference/routines.statistics.html\n",
        "\n",
        "e\n",
        "\n",
        "https://numpy.org/doc/1.16/reference/routines.math.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "RH2u1orXltp5",
        "colab": {}
      },
      "source": [
        "anos = np.loadtxt(fname = \"carros-anos.txt\", dtype = int)\n",
        "km = np.loadtxt(fname = \"carros-km.txt\")\n",
        "valor = np.loadtxt(fname = \"carros-valor.txt\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wbITF7r6ltp5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e481012c-3c40-4581-d9e5-1345bf22ee5e"
      },
      "source": [
        "anos.shape"
      ],
      "execution_count": 383,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(258,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 383
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "U_x3SOVDltp7"
      },
      "source": [
        "https://numpy.org/doc/1.16/reference/generated/numpy.column_stack.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wefxl-XBltp8",
        "colab": {}
      },
      "source": [
        "dataset = np.column_stack((anos, km, valor))\n",
        "dataset"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OzDTTmj8ltp_",
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "dfd5e38f-3b8e-4483-e499-fc9c6dd0c89f"
      },
      "source": [
        "dataset.shape"
      ],
      "execution_count": 385,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(258, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 385
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Me6yUU_RltqA"
      },
      "source": [
        "## *np.mean()*\n",
        "\n",
        "Retorna a média dos elementos do array ao longo do eixo especificado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "MNEKcP38ltqA",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ebfb4f95-53dc-4a17-cbe9-a06da07960ae"
      },
      "source": [
        "np.mean(dataset, axis = 0)"
      ],
      "execution_count": 387,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 2007.51162791, 44499.41472868, 98960.51310078])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 387
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "sekHQ84zltqB",
        "colab": {}
      },
      "source": [
        "np.mean(dataset, axis = 1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "RpyETIVSltqC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ad0f4796-4a99-4c8c-aa2b-25fd87699403"
      },
      "source": [
        "np.mean(dataset[:, 1])"
      ],
      "execution_count": 389,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "44499.41472868217"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 389
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_-kpcTI8ltqD",
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "db5534ab-205f-4c16-c63c-66892f8fb001"
      },
      "source": [
        "np.mean(dataset[:, 2])"
      ],
      "execution_count": 390,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "98960.51310077519"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 390
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "71jViVBUltqE"
      },
      "source": [
        "## *np.std()*\n",
        "\n",
        "Retorna o desvio padrão dos elementos do array ao longo do eixo especificado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "lEwUbPx2ltqE",
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e1af82b1-48ce-47d0-e4e4-74aca16fb6ae"
      },
      "source": [
        "np.std(dataset[:, 2])"
      ],
      "execution_count": 391,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "29754.101150388564"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 391
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "JTUH-vAeltqG"
      },
      "source": [
        "## *ndarray.sum()*\n",
        "\n",
        "Retorna a soma dos elementos do array ao longo do eixo especificado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jIi3yoaWltqG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "683ada10-3ccf-4d89-8353-490827794c9b"
      },
      "source": [
        "dataset.sum(axis = 0)"
      ],
      "execution_count": 392,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([  517938.        , 11480849.        , 25531812.37999999])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 392
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "X3QYbdYLltqH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "06dc1c60-76a8-4d30-a996-81b57f96d9f0"
      },
      "source": [
        "dataset[:, 1].sum()"
      ],
      "execution_count": 393,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "11480849.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 393
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "WbBD5ixaltqH"
      },
      "source": [
        "## *np.sum()*\n",
        "\n",
        "Retorna a soma dos elementos do array ao longo do eixo especificado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "omB6kgWgltqH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "79072194-1d0b-4d71-ea1c-402f24af77b8"
      },
      "source": [
        "np.sum(dataset, axis = 0)"
      ],
      "execution_count": 394,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([  517938.        , 11480849.        , 25531812.37999999])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 394
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "LiD4G3kQltqI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "8c0d6631-f0bd-4021-c48a-dcb552fe354f"
      },
      "source": [
        "np.sum(dataset[:, 2])"
      ],
      "execution_count": 395,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "25531812.38"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 395
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QpRSQ4Ic2gIp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}