Demo_Bar_Chart_Mass_of_Planets.ipynb

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  "metadata": {
    "colab": {
      "name": "Demo - Bar Chart - Mass of Planets.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/pbeens/OTF-Data-Analysis-2021-05/blob/main/Demo_Bar_Chart_Mass_of_Planets.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5KZcImhpLr3c"
      },
      "source": [
        "# Mass of Planets - Bar Chart\n",
        "\n",
        "---\n",
        "\n",
        "This notebook is based on the template found [here](https://github.com/pbeens/OTF-Data-Analysis-2021-05/blob/main/Data_Analysis_Template.ipynb).\n",
        "\n",
        "The original of this notebook can be found [here](https://colab.research.google.com/drive/1Svk_t4fKyOjVEgKZVNUi9CnNYeH2xymL?usp=sharing).\n",
        "\n",
        "A copy of this notebook is always also stored at https://github.com/pbeens/OTF-Data-Analysis-2021-05.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3dD2gVVjyodq"
      },
      "source": [
        "# What is the Objective?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j5OOAWhEy7qF"
      },
      "source": [
        "To produce various charts of the mass of the planets. Data source: https://en.wikipedia.org/wiki/Planet"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BjoOfabZyojV"
      },
      "source": [
        "# Get the Data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nf1cM4rJzmg8"
      },
      "source": [
        "- You need to import the Pandas library.\n",
        "- You need to define the source file or URL.\n",
        "- You need to create the dataframe.\n",
        "- The data can be from within the notebook or from a remote site.\n",
        "- You may want to include some additional notes here about the data."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IKSGDsTByyUn"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JrP4Z1Plfd5k"
      },
      "source": [
        "## From a Website"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z4288ey2z_Sl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "ef56370e-09cd-4491-f390-94ed80dc52b8"
      },
      "source": [
        "# enter the URL here\n",
        "url = 'https://en.wikipedia.org/wiki/Planet'\n",
        "\n",
        "df_list_of_tables = pd.read_html(url) \n",
        "df = df_list_of_tables[8] # enter the index number of the table\n",
        "\n",
        "# quick look at the data...\n",
        "df"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>Name</th>\n",
              "      <th>Equatorialdiameter[m]</th>\n",
              "      <th>Mass[m]</th>\n",
              "      <th>Semi-major axis (AU)</th>\n",
              "      <th>Orbital period(years)</th>\n",
              "      <th>Inclinationto Sun's equator (°)</th>\n",
              "      <th>Orbitaleccentricity</th>\n",
              "      <th>Rotation period(days)</th>\n",
              "      <th>Confirmedmoons</th>\n",
              "      <th>Axial tilt (°)</th>\n",
              "      <th>Rings</th>\n",
              "      <th>Atmosphere</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.</td>\n",
              "      <td>Mercury</td>\n",
              "      <td>0.383</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.39</td>\n",
              "      <td>0.24</td>\n",
              "      <td>3.38</td>\n",
              "      <td>0.206</td>\n",
              "      <td>58.65</td>\n",
              "      <td>0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>no</td>\n",
              "      <td>minimal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.</td>\n",
              "      <td>Venus</td>\n",
              "      <td>0.949</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.62</td>\n",
              "      <td>3.86</td>\n",
              "      <td>0.007</td>\n",
              "      <td>−243.02</td>\n",
              "      <td>0</td>\n",
              "      <td>177.30</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.</td>\n",
              "      <td>Earth(a)</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>7.25</td>\n",
              "      <td>0.017</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1</td>\n",
              "      <td>23.44</td>\n",
              "      <td>no</td>\n",
              "      <td>N2, O2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.</td>\n",
              "      <td>Mars</td>\n",
              "      <td>0.532</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1.52</td>\n",
              "      <td>1.88</td>\n",
              "      <td>5.65</td>\n",
              "      <td>0.093</td>\n",
              "      <td>1.03</td>\n",
              "      <td>2</td>\n",
              "      <td>25.19</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.</td>\n",
              "      <td>Jupiter</td>\n",
              "      <td>11.209</td>\n",
              "      <td>317.83</td>\n",
              "      <td>5.20</td>\n",
              "      <td>11.86</td>\n",
              "      <td>6.09</td>\n",
              "      <td>0.048</td>\n",
              "      <td>0.41</td>\n",
              "      <td>79</td>\n",
              "      <td>3.12</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6.</td>\n",
              "      <td>Saturn</td>\n",
              "      <td>9.449</td>\n",
              "      <td>95.16</td>\n",
              "      <td>9.54</td>\n",
              "      <td>29.45</td>\n",
              "      <td>5.51</td>\n",
              "      <td>0.054</td>\n",
              "      <td>0.44</td>\n",
              "      <td>82</td>\n",
              "      <td>26.73</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7.</td>\n",
              "      <td>Uranus</td>\n",
              "      <td>4.007</td>\n",
              "      <td>14.54</td>\n",
              "      <td>19.19</td>\n",
              "      <td>84.02</td>\n",
              "      <td>6.48</td>\n",
              "      <td>0.047</td>\n",
              "      <td>−0.72</td>\n",
              "      <td>27</td>\n",
              "      <td>97.86</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He, CH4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8.</td>\n",
              "      <td>Neptune</td>\n",
              "      <td>3.883</td>\n",
              "      <td>17.15</td>\n",
              "      <td>30.07</td>\n",
              "      <td>164.79</td>\n",
              "      <td>6.43</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.67</td>\n",
              "      <td>14</td>\n",
              "      <td>29.60</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He, CH4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                          Unnamed: 0  ...                                         Atmosphere\n",
              "0                                                 1.  ...                                            minimal\n",
              "1                                                 2.  ...                                            CO2, N2\n",
              "2                                                 3.  ...                                         N2, O2, Ar\n",
              "3                                                 4.  ...                                        CO2, N2, Ar\n",
              "4                                                 5.  ...                                             H2, He\n",
              "5                                                 6.  ...                                             H2, He\n",
              "6                                                 7.  ...                                        H2, He, CH4\n",
              "7                                                 8.  ...                                        H2, He, CH4\n",
              "8  Color legend: .mw-parser-output .legend{page-b...  ...  Color legend: .mw-parser-output .legend{page-b...\n",
              "\n",
              "[9 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kwnZ532qyoni"
      },
      "source": [
        "# Quick Look at the Data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nATaBmVI1nGz"
      },
      "source": [
        "Common techniques are to look at the first few rows (head), the columns, and the data types (dtypes)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vTCcAGUt1mGJ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "outputId": "340c254b-7521-4733-ced1-62e0b352fb29"
      },
      "source": [
        "# The first few records\n",
        "\n",
        "df.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
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              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>Name</th>\n",
              "      <th>Equatorialdiameter[m]</th>\n",
              "      <th>Mass[m]</th>\n",
              "      <th>Semi-major axis (AU)</th>\n",
              "      <th>Orbital period(years)</th>\n",
              "      <th>Inclinationto Sun's equator (°)</th>\n",
              "      <th>Orbitaleccentricity</th>\n",
              "      <th>Rotation period(days)</th>\n",
              "      <th>Confirmedmoons</th>\n",
              "      <th>Axial tilt (°)</th>\n",
              "      <th>Rings</th>\n",
              "      <th>Atmosphere</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.</td>\n",
              "      <td>Mercury</td>\n",
              "      <td>0.383</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.39</td>\n",
              "      <td>0.24</td>\n",
              "      <td>3.38</td>\n",
              "      <td>0.206</td>\n",
              "      <td>58.65</td>\n",
              "      <td>0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>no</td>\n",
              "      <td>minimal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.</td>\n",
              "      <td>Venus</td>\n",
              "      <td>0.949</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.62</td>\n",
              "      <td>3.86</td>\n",
              "      <td>0.007</td>\n",
              "      <td>−243.02</td>\n",
              "      <td>0</td>\n",
              "      <td>177.30</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.</td>\n",
              "      <td>Earth(a)</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>7.25</td>\n",
              "      <td>0.017</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1</td>\n",
              "      <td>23.44</td>\n",
              "      <td>no</td>\n",
              "      <td>N2, O2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.</td>\n",
              "      <td>Mars</td>\n",
              "      <td>0.532</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1.52</td>\n",
              "      <td>1.88</td>\n",
              "      <td>5.65</td>\n",
              "      <td>0.093</td>\n",
              "      <td>1.03</td>\n",
              "      <td>2</td>\n",
              "      <td>25.19</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.</td>\n",
              "      <td>Jupiter</td>\n",
              "      <td>11.209</td>\n",
              "      <td>317.83</td>\n",
              "      <td>5.20</td>\n",
              "      <td>11.86</td>\n",
              "      <td>6.09</td>\n",
              "      <td>0.048</td>\n",
              "      <td>0.41</td>\n",
              "      <td>79</td>\n",
              "      <td>3.12</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Unnamed: 0      Name Equatorialdiameter[m]  ... Axial tilt (°) Rings   Atmosphere\n",
              "0         1.   Mercury                 0.383  ...           0.10    no      minimal\n",
              "1         2.     Venus                 0.949  ...         177.30    no      CO2, N2\n",
              "2         3.  Earth(a)                 1.000  ...          23.44    no   N2, O2, Ar\n",
              "3         4.      Mars                 0.532  ...          25.19    no  CO2, N2, Ar\n",
              "4         5.   Jupiter                11.209  ...           3.12   yes       H2, He\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5kg19gjAy4Iz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "025cba99-f40d-4d68-894f-30bc1681e4e9"
      },
      "source": [
        "# The names of the columns\n",
        "\n",
        "df.columns"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Unnamed: 0', 'Name', 'Equatorialdiameter[m]', 'Mass[m]',\n",
              "       'Semi-major axis (AU)', 'Orbital period(years)',\n",
              "       'Inclinationto Sun's equator (°)', 'Orbitaleccentricity',\n",
              "       'Rotation period(days)', 'Confirmedmoons', 'Axial tilt (°)', 'Rings',\n",
              "       'Atmosphere'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CCA9Zp1o1y5w",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2c395ebd-ba51-4b58-9c21-ee50613a59df"
      },
      "source": [
        "# The datatypes\n",
        "\n",
        "df.dtypes"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0                         object\n",
              "Name                               object\n",
              "Equatorialdiameter[m]              object\n",
              "Mass[m]                            object\n",
              "Semi-major axis (AU)               object\n",
              "Orbital period(years)              object\n",
              "Inclinationto Sun's equator (°)    object\n",
              "Orbitaleccentricity                object\n",
              "Rotation period(days)              object\n",
              "Confirmedmoons                     object\n",
              "Axial tilt (°)                     object\n",
              "Rings                              object\n",
              "Atmosphere                         object\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z3ykknRwpyM-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "outputId": "88d90f5b-2625-494e-81c2-110ac49c84e6"
      },
      "source": [
        "# A statistical summary\n",
        "\n",
        "df.describe()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>Name</th>\n",
              "      <th>Equatorialdiameter[m]</th>\n",
              "      <th>Mass[m]</th>\n",
              "      <th>Semi-major axis (AU)</th>\n",
              "      <th>Orbital period(years)</th>\n",
              "      <th>Inclinationto Sun's equator (°)</th>\n",
              "      <th>Orbitaleccentricity</th>\n",
              "      <th>Rotation period(days)</th>\n",
              "      <th>Confirmedmoons</th>\n",
              "      <th>Axial tilt (°)</th>\n",
              "      <th>Rings</th>\n",
              "      <th>Atmosphere</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>3.</td>\n",
              "      <td>Saturn</td>\n",
              "      <td>0.949</td>\n",
              "      <td>17.15</td>\n",
              "      <td>30.07</td>\n",
              "      <td>1.00</td>\n",
              "      <td>3.86</td>\n",
              "      <td>0.007</td>\n",
              "      <td>58.65</td>\n",
              "      <td>0</td>\n",
              "      <td>26.73</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Unnamed: 0    Name Equatorialdiameter[m]  ... Axial tilt (°) Rings Atmosphere\n",
              "count           9       9                     9  ...              9     9          9\n",
              "unique          9       9                     9  ...              9     3          7\n",
              "top            3.  Saturn                 0.949  ...          26.73   yes     H2, He\n",
              "freq            1       1                     1  ...              1     4          2\n",
              "\n",
              "[4 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8r3Pfb2-L6FE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f96ae54a-b83f-4bcc-efb6-7d818a64a85f"
      },
      "source": [
        "# Looking at one column only\n",
        "\n",
        "df['Mass[m]'] "
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                                                 0.06\n",
              "1                                                 0.81\n",
              "2                                                 1.00\n",
              "3                                                 0.11\n",
              "4                                               317.83\n",
              "5                                                95.16\n",
              "6                                                14.54\n",
              "7                                                17.15\n",
              "8    Color legend: .mw-parser-output .legend{page-b...\n",
              "Name: Mass[m], dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "id": "vten5elLP96o",
        "outputId": "08262dc3-ef6f-4d34-d90d-a5f3039be855"
      },
      "source": [
        "# Looking at multiple columns\n",
        "\n",
        "df[['Name', 'Mass[m]']]"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Name</th>\n",
              "      <th>Mass[m]</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mercury</td>\n",
              "      <td>0.06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Venus</td>\n",
              "      <td>0.81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Earth(a)</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Mars</td>\n",
              "      <td>0.11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Jupiter</td>\n",
              "      <td>317.83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Saturn</td>\n",
              "      <td>95.16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Uranus</td>\n",
              "      <td>14.54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Neptune</td>\n",
              "      <td>17.15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "      <td>Color legend: .mw-parser-output .legend{page-b...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                Name                                            Mass[m]\n",
              "0                                            Mercury                                               0.06\n",
              "1                                              Venus                                               0.81\n",
              "2                                           Earth(a)                                               1.00\n",
              "3                                               Mars                                               0.11\n",
              "4                                            Jupiter                                             317.83\n",
              "5                                             Saturn                                              95.16\n",
              "6                                             Uranus                                              14.54\n",
              "7                                            Neptune                                              17.15\n",
              "8  Color legend: .mw-parser-output .legend{page-b...  Color legend: .mw-parser-output .legend{page-b..."
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3H6PpQpQy4_A",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "839ecf11-b2b3-4781-9b6a-bf1dcd307e10"
      },
      "source": [
        "# Want to look at unique values?\n",
        "\n",
        "df['Rings'].unique() # insert the name of the column! "
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['no', 'yes',\n",
              "       'Color legend: .mw-parser-output .legend{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .legend-color{display:inline-block;min-width:1.25em;height:1.25em;line-height:1.25;margin:1px 0;text-align:center;border:1px solid black;background-color:transparent;color:black}.mw-parser-output .legend-text{} terrestrial planets gas giants ice giants (both are giant planets). (a) Find absolute values in article Earth'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jUHJ26tZyorH"
      },
      "source": [
        "# Clean/Fix/Filter the Data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8KUkxE6m185n"
      },
      "source": [
        "This will depend on the data we're looking at. Some issues may be:\n",
        "\n",
        "- extraneous text in the data\n",
        "- incorrect data type\n",
        "- invalid (or no) data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 368
        },
        "id": "XUybRYoss_u6",
        "outputId": "3ec09658-5515-4977-8789-aca6efa0134d"
      },
      "source": [
        "# We need to get rid of the last row\n",
        "\n",
        "df = df.loc[0:7] # note: loc[] is end-inclusive! (vs Python which is end-exclusive)\n",
        "df"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>Name</th>\n",
              "      <th>Equatorialdiameter[m]</th>\n",
              "      <th>Mass[m]</th>\n",
              "      <th>Semi-major axis (AU)</th>\n",
              "      <th>Orbital period(years)</th>\n",
              "      <th>Inclinationto Sun's equator (°)</th>\n",
              "      <th>Orbitaleccentricity</th>\n",
              "      <th>Rotation period(days)</th>\n",
              "      <th>Confirmedmoons</th>\n",
              "      <th>Axial tilt (°)</th>\n",
              "      <th>Rings</th>\n",
              "      <th>Atmosphere</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.</td>\n",
              "      <td>Mercury</td>\n",
              "      <td>0.383</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.39</td>\n",
              "      <td>0.24</td>\n",
              "      <td>3.38</td>\n",
              "      <td>0.206</td>\n",
              "      <td>58.65</td>\n",
              "      <td>0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>no</td>\n",
              "      <td>minimal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.</td>\n",
              "      <td>Venus</td>\n",
              "      <td>0.949</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.62</td>\n",
              "      <td>3.86</td>\n",
              "      <td>0.007</td>\n",
              "      <td>−243.02</td>\n",
              "      <td>0</td>\n",
              "      <td>177.30</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.</td>\n",
              "      <td>Earth(a)</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>7.25</td>\n",
              "      <td>0.017</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1</td>\n",
              "      <td>23.44</td>\n",
              "      <td>no</td>\n",
              "      <td>N2, O2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.</td>\n",
              "      <td>Mars</td>\n",
              "      <td>0.532</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1.52</td>\n",
              "      <td>1.88</td>\n",
              "      <td>5.65</td>\n",
              "      <td>0.093</td>\n",
              "      <td>1.03</td>\n",
              "      <td>2</td>\n",
              "      <td>25.19</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.</td>\n",
              "      <td>Jupiter</td>\n",
              "      <td>11.209</td>\n",
              "      <td>317.83</td>\n",
              "      <td>5.20</td>\n",
              "      <td>11.86</td>\n",
              "      <td>6.09</td>\n",
              "      <td>0.048</td>\n",
              "      <td>0.41</td>\n",
              "      <td>79</td>\n",
              "      <td>3.12</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6.</td>\n",
              "      <td>Saturn</td>\n",
              "      <td>9.449</td>\n",
              "      <td>95.16</td>\n",
              "      <td>9.54</td>\n",
              "      <td>29.45</td>\n",
              "      <td>5.51</td>\n",
              "      <td>0.054</td>\n",
              "      <td>0.44</td>\n",
              "      <td>82</td>\n",
              "      <td>26.73</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7.</td>\n",
              "      <td>Uranus</td>\n",
              "      <td>4.007</td>\n",
              "      <td>14.54</td>\n",
              "      <td>19.19</td>\n",
              "      <td>84.02</td>\n",
              "      <td>6.48</td>\n",
              "      <td>0.047</td>\n",
              "      <td>−0.72</td>\n",
              "      <td>27</td>\n",
              "      <td>97.86</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He, CH4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8.</td>\n",
              "      <td>Neptune</td>\n",
              "      <td>3.883</td>\n",
              "      <td>17.15</td>\n",
              "      <td>30.07</td>\n",
              "      <td>164.79</td>\n",
              "      <td>6.43</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.67</td>\n",
              "      <td>14</td>\n",
              "      <td>29.60</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He, CH4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Unnamed: 0      Name Equatorialdiameter[m]  ... Axial tilt (°) Rings   Atmosphere\n",
              "0         1.   Mercury                 0.383  ...           0.10    no      minimal\n",
              "1         2.     Venus                 0.949  ...         177.30    no      CO2, N2\n",
              "2         3.  Earth(a)                 1.000  ...          23.44    no   N2, O2, Ar\n",
              "3         4.      Mars                 0.532  ...          25.19    no  CO2, N2, Ar\n",
              "4         5.   Jupiter                11.209  ...           3.12   yes       H2, He\n",
              "5         6.    Saturn                 9.449  ...          26.73   yes       H2, He\n",
              "6         7.    Uranus                 4.007  ...          97.86   yes  H2, He, CH4\n",
              "7         8.   Neptune                 3.883  ...          29.60   yes  H2, He, CH4\n",
              "\n",
              "[8 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_xR5HLMlsL0S",
        "outputId": "7a0d5e84-69af-450f-953d-33c9d42ab200"
      },
      "source": [
        "# Let's rename Earth(a) to Earth\n",
        "\n",
        "df.loc[2,'Name'] = 'Earth'\n",
        "df.loc[2]"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:670: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  iloc._setitem_with_indexer(indexer, value)\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0                                 3.\n",
              "Name                                    Earth\n",
              "Equatorialdiameter[m]                   1.000\n",
              "Mass[m]                                  1.00\n",
              "Semi-major axis (AU)                     1.00\n",
              "Orbital period(years)                    1.00\n",
              "Inclinationto Sun's equator (°)          7.25\n",
              "Orbitaleccentricity                     0.017\n",
              "Rotation period(days)                    1.00\n",
              "Confirmedmoons                              1\n",
              "Axial tilt (°)                          23.44\n",
              "Rings                                      no\n",
              "Atmosphere                         N2, O2, Ar\n",
              "Name: 2, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "id": "qDx-QX8UQbKT",
        "outputId": "40673ad9-6237-4381-ac0f-2168df28d281"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>Name</th>\n",
              "      <th>Equatorialdiameter[m]</th>\n",
              "      <th>Mass[m]</th>\n",
              "      <th>Semi-major axis (AU)</th>\n",
              "      <th>Orbital period(years)</th>\n",
              "      <th>Inclinationto Sun's equator (°)</th>\n",
              "      <th>Orbitaleccentricity</th>\n",
              "      <th>Rotation period(days)</th>\n",
              "      <th>Confirmedmoons</th>\n",
              "      <th>Axial tilt (°)</th>\n",
              "      <th>Rings</th>\n",
              "      <th>Atmosphere</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.</td>\n",
              "      <td>Mercury</td>\n",
              "      <td>0.383</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.39</td>\n",
              "      <td>0.24</td>\n",
              "      <td>3.38</td>\n",
              "      <td>0.206</td>\n",
              "      <td>58.65</td>\n",
              "      <td>0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>no</td>\n",
              "      <td>minimal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.</td>\n",
              "      <td>Venus</td>\n",
              "      <td>0.949</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.62</td>\n",
              "      <td>3.86</td>\n",
              "      <td>0.007</td>\n",
              "      <td>−243.02</td>\n",
              "      <td>0</td>\n",
              "      <td>177.30</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.</td>\n",
              "      <td>Earth</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>7.25</td>\n",
              "      <td>0.017</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1</td>\n",
              "      <td>23.44</td>\n",
              "      <td>no</td>\n",
              "      <td>N2, O2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.</td>\n",
              "      <td>Mars</td>\n",
              "      <td>0.532</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1.52</td>\n",
              "      <td>1.88</td>\n",
              "      <td>5.65</td>\n",
              "      <td>0.093</td>\n",
              "      <td>1.03</td>\n",
              "      <td>2</td>\n",
              "      <td>25.19</td>\n",
              "      <td>no</td>\n",
              "      <td>CO2, N2, Ar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.</td>\n",
              "      <td>Jupiter</td>\n",
              "      <td>11.209</td>\n",
              "      <td>317.83</td>\n",
              "      <td>5.20</td>\n",
              "      <td>11.86</td>\n",
              "      <td>6.09</td>\n",
              "      <td>0.048</td>\n",
              "      <td>0.41</td>\n",
              "      <td>79</td>\n",
              "      <td>3.12</td>\n",
              "      <td>yes</td>\n",
              "      <td>H2, He</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Unnamed: 0     Name Equatorialdiameter[m]  ... Axial tilt (°) Rings   Atmosphere\n",
              "0         1.  Mercury                 0.383  ...           0.10    no      minimal\n",
              "1         2.    Venus                 0.949  ...         177.30    no      CO2, N2\n",
              "2         3.    Earth                 1.000  ...          23.44    no   N2, O2, Ar\n",
              "3         4.     Mars                 0.532  ...          25.19    no  CO2, N2, Ar\n",
              "4         5.  Jupiter                11.209  ...           3.12   yes       H2, He\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UdLz4ekmzWPp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c9512ab4-9f53-4c1d-f2f0-cf1dfd2db09c"
      },
      "source": [
        "# Convert Mass column to numbers so they can be graphed\n",
        "\n",
        "df['Mass[m]'] = pd.to_numeric(df['Mass[m]'])\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "63oA3YHMSGUa",
        "outputId": "c8ddc1c4-4c8b-4493-f398-647c5eb39ad5"
      },
      "source": [
        "df['Mass[m]']"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      0.06\n",
              "1      0.81\n",
              "2      1.00\n",
              "3      0.11\n",
              "4    317.83\n",
              "5     95.16\n",
              "6     14.54\n",
              "7     17.15\n",
              "Name: Mass[m], dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4MX4IWHuTLTc"
      },
      "source": [
        "# Set the Index to the Names of the Planets\n",
        "# (necessary to label the pie graph properly)\n",
        "\n",
        "df.index = df.Name"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TQ6TzpTryouO"
      },
      "source": [
        "# Plot the Data (Using Pandas Library)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ACrnP6OB20A_"
      },
      "source": [
        "Types of plots:\n",
        "\n",
        "- ‘bar’ or ‘barh’ for bar plots\n",
        "- ‘hist’ for histogram\n",
        "- ‘box’ for boxplot\n",
        "- ‘kde’ or ‘density’ for density plots\n",
        "- ‘area’ for area plots\n",
        "- ‘scatter’ for scatter plots\n",
        "- ‘hexbin’ for hexagonal bin plots\n",
        "- ‘pie’ for pie plots\n",
        "\n",
        "The following code is a good starting point to modify:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2ej63Xzpzatd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "outputId": "b971e579-160c-46c7-c62b-1aad7bf85b9e"
      },
      "source": [
        "# Plot the data. Be sure to edit all the options!\n",
        "plot = df.plot(kind='pie', \n",
        "          y='Mass[m]', # if plotting more than one column, use a list\n",
        "          figsize=(10, 5),  # in inches\n",
        "          ylabel='Mass (Relative to Earth)',\n",
        "          title='Relative Mass of Planets')"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b_FMLHMRbhd3"
      },
      "source": [
        "# Want to save the plot?\n",
        "fig = plot.get_figure()\n",
        "fig.savefig(\"mass-of-plants.png\")"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vaUPlgW9Hewj"
      },
      "source": [
        "# Plot the Data (Using matplotlib Library)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dm3QTGL7HnNA"
      },
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FJCnwRyJ6m-H"
      },
      "source": [
        "## Pie Chart"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "J0cXhzYQH06m",
        "outputId": "96aadaa5-297c-49d3-bd01-3c72f9ad2f1d"
      },
      "source": [
        "labels = df['Name']\n",
        "\n",
        "plt.pie(df['Mass[m]'], labels=None)\n",
        "plt.legend(labels=labels, loc=\"upper center\", ncol=4)\n",
        "plt.title('Relative Mass of Planets')\n",
        "plt.tight_layout() # makes it a little larger\n",
        "plt.savefig(\"mass-of-plants_2.png\")\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-392K8q86tyX"
      },
      "source": [
        "## Bar Chart"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "RFgY6OFb6vM3",
        "outputId": "3368bd52-7e58-4b4c-d586-440c4dfed0ef"
      },
      "source": [
        "plt.bar(df['Name'], df['Mass[m]'])\n",
        "plt.ylabel(\"Relative Mass (to Earth)\")\n",
        "plt.title('Relative Mass of Planets')\n",
        "plt.yscale('log') # log y-axis\n",
        "plt.grid(color='gray', linestyle='dashed', axis='y')\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}