Introduction_to_Plotly.ipynb

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      "authorship_tag": "ABX9TyOY9gloHHHXJjCkS1XrmQxu",
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      "name": "python3",
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/SuperDataWorld/Python/blob/main/Introduction_to_Plotly.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "source": [
        "## Imports"
      ],
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        "id": "tW33f7qUC6sQ"
      }
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        "id": "9QkUS4DddS2x"
      },
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import plotly.offline as pyo\n",
        "import plotly.graph_objs as go\n",
        "import plotly.express as px"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Plotly Express. It is a high-level interface to Plotly, which is a powerful and interactive data visualization library in Python. With Plotly Express, you can create a wide range of static, animated, and interactive visualizations with just a few lines of code."
      ],
      "metadata": {
        "id": "4jgc3CYTC3ub"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## What's Possible with Plotly Express\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "uTSy_XiJB96z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = px.data.gapminder()\n",
        "fig = px.scatter(df, x=\"gdpPercap\", y=\"lifeExp\", size=\"pop\", color=\"continent\",\n",
        "                 hover_name=\"country\", log_x = True, size_max=80)\n",
        "fig.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "PR9U4Gb0-jt8",
        "outputId": "0806c3b6-ef3d-4ae7-f78f-735a232ebea0"
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      "execution_count": 2,
      "outputs": [
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          },
          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = px.data.gapminder()\n",
        "fig = px.scatter(df, x=\"gdpPercap\", y=\"lifeExp\", size=\"pop\", color=\"continent\",\n",
        "                 hover_name=\"country\", log_x=True, size_max=60,\n",
        "                 animation_frame=\"year\", range_x=[100, 100000], range_y=[20, 90])\n",
        "fig.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "oJ0Mixxp-ke1",
        "outputId": "3338a7cc-ba47-44ee-f16e-a7871bbd4a04"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Importing Data"
      ],
      "metadata": {
        "id": "AgeNH_EWDIZF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('https://raw.githubusercontent.com/SuperDataWorld/Python/main/Data/bikerental.csv')"
      ],
      "metadata": {
        "id": "xO5Bgy1yCNFR"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "1Dkaxtkl-xWS",
        "outputId": "bdfa413d-61ee-4cc3-d908-ff678a0b5844"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
              "0        1  2011-01-01       1   0     1        0        6           0   \n",
              "1        2  2011-01-02       1   0     1        0        0           0   \n",
              "2        3  2011-01-03       1   0     1        0        1           1   \n",
              "3        4  2011-01-04       1   0     1        0        2           1   \n",
              "4        5  2011-01-05       1   0     1        0        3           1   \n",
              "\n",
              "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
              "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
              "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
              "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
              "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
              "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
              "\n",
              "    cnt  \n",
              "0   985  \n",
              "1   801  \n",
              "2  1349  \n",
              "3  1562  \n",
              "4  1600  "
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              "      <td>2011-01-03</td>\n",
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              "      <td>2011-01-05</td>\n",
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          "metadata": {},
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    {
      "cell_type": "markdown",
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        "#Scatterplot"
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      "metadata": {
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    {
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      "source": [
        "fig = px.scatter(df, x = 'casual', y = 'windspeed')\n",
        "fig.show()"
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      "execution_count": 6,
      "outputs": [
        {
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# https://plotly.com/python/builtin-colorscales/\n",
        "\n",
        "fig = px.scatter(\n",
        "    df, \n",
        "    x = 'casual', \n",
        "    y = 'windspeed', \n",
        "    color ='season',\n",
        "    color_continuous_scale=px.colors.sequential.Turbo)\n",
        "\n",
        "fig.update_layout(\n",
        "    title = 'Casual Bike Rentals V Windspeed',\n",
        "    width = 1000,\n",
        "    height = 500,\n",
        "    xaxis_title = 'Casual Bike Rentals',\n",
        "    yaxis_title = 'Windspeed',\n",
        "    template=\"simple_white\",\n",
        ")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "4Tv-VGzwDz-2",
        "outputId": "0d012c0d-abfe-4344-8075-383cd3b7815d"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data Cleaning before Barplot"
      ],
      "metadata": {
        "id": "rUV80aFqFCoH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['yr'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YK556bk4-2HZ",
        "outputId": "8c789b63-2348-4631-b580-17354cebdc3e"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    366\n",
              "0    365\n",
              "Name: yr, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['year'] = df['yr'].apply(lambda x: '2011' if x==0 else '2012')\n",
        "df['Month'] = df['year'] + \"-\" + df['mnth'].map(str)"
      ],
      "metadata": {
        "id": "DgJ2YRwF_IuC"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
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        "id": "UIECl4GMB4LK",
        "outputId": "bcfee068-e84d-4f13-ede6-5970fdb0a0ac"
      },
      "execution_count": 10,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
              "0        1  2011-01-01       1   0     1        0        6           0   \n",
              "1        2  2011-01-02       1   0     1        0        0           0   \n",
              "2        3  2011-01-03       1   0     1        0        1           1   \n",
              "3        4  2011-01-04       1   0     1        0        2           1   \n",
              "4        5  2011-01-05       1   0     1        0        3           1   \n",
              "\n",
              "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
              "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
              "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
              "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
              "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
              "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
              "\n",
              "    cnt  year   Month  \n",
              "0   985  2011  2011-1  \n",
              "1   801  2011  2011-1  \n",
              "2  1349  2011  2011-1  \n",
              "3  1562  2011  2011-1  \n",
              "4  1600  2011  2011-1  "
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "      <th>year</th>\n",
              "      <th>Month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.344167</td>\n",
              "      <td>0.363625</td>\n",
              "      <td>0.805833</td>\n",
              "      <td>0.160446</td>\n",
              "      <td>331</td>\n",
              "      <td>654</td>\n",
              "      <td>985</td>\n",
              "      <td>2011</td>\n",
              "      <td>2011-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>2011-01-02</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.363478</td>\n",
              "      <td>0.353739</td>\n",
              "      <td>0.696087</td>\n",
              "      <td>0.248539</td>\n",
              "      <td>131</td>\n",
              "      <td>670</td>\n",
              "      <td>801</td>\n",
              "      <td>2011</td>\n",
              "      <td>2011-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>2011-01-03</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.196364</td>\n",
              "      <td>0.189405</td>\n",
              "      <td>0.437273</td>\n",
              "      <td>0.248309</td>\n",
              "      <td>120</td>\n",
              "      <td>1229</td>\n",
              "      <td>1349</td>\n",
              "      <td>2011</td>\n",
              "      <td>2011-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>2011-01-04</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0.212122</td>\n",
              "      <td>0.590435</td>\n",
              "      <td>0.160296</td>\n",
              "      <td>108</td>\n",
              "      <td>1454</td>\n",
              "      <td>1562</td>\n",
              "      <td>2011</td>\n",
              "      <td>2011-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>2011-01-05</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.226957</td>\n",
              "      <td>0.229270</td>\n",
              "      <td>0.436957</td>\n",
              "      <td>0.186900</td>\n",
              "      <td>82</td>\n",
              "      <td>1518</td>\n",
              "      <td>1600</td>\n",
              "      <td>2011</td>\n",
              "      <td>2011-1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-094d5375-4b54-47b8-9e51-0e5fb4e66ae9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-094d5375-4b54-47b8-9e51-0e5fb4e66ae9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-094d5375-4b54-47b8-9e51-0e5fb4e66ae9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bar_data = df[['Month','cnt']].groupby(by=[\"Month\"]).sum().reset_index()"
      ],
      "metadata": {
        "id": "1FXGSx1eFMj-"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bar_data.columns = [\"Month of Rental\",\"Count of Rentals\"]"
      ],
      "metadata": {
        "id": "xojunppYFfmk"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bar_data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "XVQiJYvSL8bW",
        "outputId": "fef0d8c2-36f6-4a2d-c233-c2904f48b31f"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Month of Rental  Count of Rentals\n",
              "0          2011-1             38189\n",
              "1         2011-10            123511\n",
              "2         2011-11            102167\n",
              "3         2011-12             87323\n",
              "4          2011-2             48215"
            ],
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              "\n",
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Month of Rental</th>\n",
              "      <th>Count of Rentals</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2011-1</td>\n",
              "      <td>38189</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2011-10</td>\n",
              "      <td>123511</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2011-11</td>\n",
              "      <td>102167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2011-12</td>\n",
              "      <td>87323</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2011-2</td>\n",
              "      <td>48215</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e2b7c2b5-abb6-460d-b291-2e6efd96d51c')\"\n",
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              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "      gap: 12px;\n",
              "    }\n",
              "\n",
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              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e2b7c2b5-abb6-460d-b291-2e6efd96d51c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e2b7c2b5-abb6-460d-b291-2e6efd96d51c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Basic Bar Plot"
      ],
      "metadata": {
        "id": "1kuGmJZa_xkT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.express as px\n",
        "fig = px.bar(bar_data, x='Month of Rental', y='Count of Rentals')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "Egz4PfOu-YZL",
        "outputId": "f54b5964-2af6-4bb2-991b-13726b8d8700"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "<head><meta charset=\"utf-8\" /></head>\n",
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Upgrade the Layout"
      ],
      "metadata": {
        "id": "KKEczGo6_3Kq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.bar(bar_data, x='Month of Rental', y='Count of Rentals')\n",
        "fig.update_layout(\n",
        "    bargap = 0.0075, \n",
        "    title = 'Bike Rentals By Month',\n",
        "    width = 1000,\n",
        "    height = 500,\n",
        "    xaxis_title = 'Month',\n",
        "    yaxis_title = 'Bike Rentals',\n",
        "    template=\"simple_white\",\n",
        "    hoverlabel=dict(\n",
        "        bgcolor=\"white\",\n",
        "        font_size=12,\n",
        "        font_family=\"Arial\"\n",
        "    )\n",
        ")\n",
        "fig.update_traces(marker_color='#AAAAAA')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "KE5s35CnGnjB",
        "outputId": "880d2fe4-530d-49d5-8d41-0e9952b04c09"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Simple Histogram"
      ],
      "metadata": {
        "id": "NW6upXSj_-rn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.histogram(df, x = 'cnt',color='season')\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "DD9dw2TOAPeZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "bf1ab412-2804-4fe1-a890-7bc9027af224"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Upgraded Histogram with Styling Shape and Annotation "
      ],
      "metadata": {
        "id": "2C486NuYAQoQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Histogram \n",
        "\n",
        "average = df['cnt'].mean()\n",
        "fig = px.histogram(df, x = 'cnt',color='season', color_discrete_sequence=px.colors.qualitative.Dark24)\n",
        "\n",
        "fig.update_layout(\n",
        "    bargap = 0.005, \n",
        "    title = 'Rentals',\n",
        "    width = 1000,\n",
        "    height = 500,\n",
        "    xaxis_title = 'Count of Bike Rentals',\n",
        "    yaxis_title = 'Count of Days',\n",
        "    template=\"simple_white\")\n",
        "\n",
        "fig.add_shape(type=\"circle\",\n",
        "    xref=\"x\", yref=\"y\",\n",
        "    fillcolor=\"PaleTurquoise\",\n",
        "    x0=3500, y0=70, x1=5500, y1=90,\n",
        "    line_color=\"LightSeaGreen\",\n",
        ")\n",
        "\n",
        "fig.add_annotation(x=4500, y=91,\n",
        "            text=\"Highest Frequency @ Approx 4500\",\n",
        "            showarrow=True,\n",
        "            arrowhead=4)\n",
        "\n",
        "\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "lYh8QoOldrGs",
        "outputId": "ca1d8440-26a8-4701-9cce-13a23944ba8f"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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    {
      "cell_type": "markdown",
      "source": [
        "## Simple LineChart"
      ],
      "metadata": {
        "id": "ZvuJwI85Aj1X"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.line(df, x = 'dteday',y='cnt')\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "hT02GTGcAjW6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "7005babc-d01e-43c4-a678-917920ddf1d7"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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    },
    {
      "cell_type": "markdown",
      "source": [
        "## Upgraded LineChart W / Average Line"
      ],
      "metadata": {
        "id": "AjSDP2kEApWg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "avg = df['cnt'].mean()\n",
        "time = df['dteday'].min()\n",
        "\n",
        "fig = px.line(df, x = 'dteday',y='cnt')\n",
        "\n",
        "fig.update_layout(\n",
        "    title = 'Bike Rentals 2011 / 2012',\n",
        "    width = 1000,\n",
        "    height = 500,\n",
        "    xaxis_title = 'Count of Bike Rentals',\n",
        "    yaxis_title = 'Date',\n",
        "    template=\"simple_white\")\n",
        "\n",
        "fig['data'][0]['line']['color']='#AAAAAA'\n",
        "\n",
        "fig.add_shape( # add a horizontal \"target\" line\n",
        "    type=\"line\", line_color=\"black\", line_width=3, opacity=1, line_dash=\"dot\",\n",
        "    x0=0, x1=1, xref=\"paper\", y0=avg, y1=avg, yref=\"y\"\n",
        ")\n",
        "\n",
        "fig.add_annotation(x=time, y=avg,\n",
        "            text=\"Average Rentals\",\n",
        "            showarrow=False,\n",
        "            arrowhead=4,\n",
        "            xshift = 70,\n",
        "            yshift = 10)\n",
        "\n",
        "\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "MtwLdOQpyr8A",
        "outputId": "f1dc2264-390c-4476-f009-bd34e2276fd4"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "                            \n",
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              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Multiple Line Plots from the Same Dataset"
      ],
      "metadata": {
        "id": "LljB0nLuLFmH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.line(df, x = 'dteday',y=['casual','registered'])\n",
        "\n",
        "fig['data'][0]['line']['color']=\"#F2CC8F\"\n",
        "fig['data'][1]['line']['color']=\"#033F63\"\n",
        "\n",
        "fig.update_layout(\n",
        "    title = 'Casual & Registered Bike Rentals 2011 / 2012',\n",
        "    width = 1000,\n",
        "    height = 500,\n",
        "    xaxis_title = 'Count of Bike Rentals',\n",
        "    yaxis_title = 'Date',\n",
        "    template=\"simple_white\")\n",
        "fig.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "meukscWmttAI",
        "outputId": "9f9b7c15-110d-49ec-9eb7-e951b9f3fa8d"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
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