04: Time_Series_with_regular_breaks_using_Facebook_Prophet.ipynb

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    "colab": {
      "name": "Time_Series_with_regular_breaks_using_Facebook_Prophet.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TgkuSlSxgEkh"
      },
      "source": [
        "####Help is available on video \"https://www.youtube.com/watch?v=hJ6sY17a-rI\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CY5G7SE9PLEB"
      },
      "source": [
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import os\n",
        "from datetime import datetime\n",
        "import pandas as pd\n",
        "import plotly.express as px\n",
        "\n",
        "mpl.rcParams['figure.figsize'] = (20, 20)\n",
        "mpl.rcParams['axes.grid'] = False"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PJaoc_EcR1pB"
      },
      "source": [
        "df = pd.read_csv('https://raw.githubusercontent.com/srivatsan88/YouTubeLI/master/dataset/energy_usage.csv', parse_dates=['date'], infer_datetime_format=True)"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gQjU-JsX58EB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "707b206a-cd42-42bc-f869-51dbf2c5fd78"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1372 entries, 0 to 1371\n",
            "Data columns (total 5 columns):\n",
            " #   Column    Non-Null Count  Dtype         \n",
            "---  ------    --------------  -----         \n",
            " 0   date      1372 non-null   datetime64[ns]\n",
            " 1   energy    1372 non-null   float64       \n",
            " 2   temp      1372 non-null   float64       \n",
            " 3   humidity  1372 non-null   float64       \n",
            " 4   day       1372 non-null   object        \n",
            "dtypes: datetime64[ns](1), float64(3), object(1)\n",
            "memory usage: 53.7+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ALsQm_eoVsh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "3839fa0e-17f5-4360-904e-70ef185b1eee"
      },
      "source": [
        "df"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>energy</th>\n",
              "      <th>temp</th>\n",
              "      <th>humidity</th>\n",
              "      <th>day</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2016-01-11 17:00:00</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.308333</td>\n",
              "      <td>92.000000</td>\n",
              "      <td>Monday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2016-01-11 18:00:00</td>\n",
              "      <td>176.666667</td>\n",
              "      <td>5.941667</td>\n",
              "      <td>91.583333</td>\n",
              "      <td>Monday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2016-01-12 09:00:00</td>\n",
              "      <td>43.333333</td>\n",
              "      <td>5.008333</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2016-01-12 10:00:00</td>\n",
              "      <td>230.000000</td>\n",
              "      <td>5.758333</td>\n",
              "      <td>88.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2016-01-12 11:00:00</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.650000</td>\n",
              "      <td>83.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "      <td>101.666667</td>\n",
              "      <td>21.916667</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "      <td>76.666667</td>\n",
              "      <td>22.216667</td>\n",
              "      <td>57.333333</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1369</th>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "      <td>135.000000</td>\n",
              "      <td>22.883333</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "      <td>180.000000</td>\n",
              "      <td>22.666667</td>\n",
              "      <td>55.833333</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "      <td>430.000000</td>\n",
              "      <td>22.200000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1372 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                    date      energy       temp   humidity      day\n",
              "0    2016-01-11 17:00:00   55.000000   6.308333  92.000000   Monday\n",
              "1    2016-01-11 18:00:00  176.666667   5.941667  91.583333   Monday\n",
              "2    2016-01-12 09:00:00   43.333333   5.008333  91.000000  Tuesday\n",
              "3    2016-01-12 10:00:00  230.000000   5.758333  88.916667  Tuesday\n",
              "4    2016-01-12 11:00:00   55.000000   6.650000  83.916667  Tuesday\n",
              "...                  ...         ...        ...        ...      ...\n",
              "1367 2016-05-27 14:00:00  101.666667  21.916667  59.000000   Friday\n",
              "1368 2016-05-27 15:00:00   76.666667  22.216667  57.333333   Friday\n",
              "1369 2016-05-27 16:00:00  135.000000  22.883333  55.000000   Friday\n",
              "1370 2016-05-27 17:00:00  180.000000  22.666667  55.833333   Friday\n",
              "1371 2016-05-27 18:00:00  430.000000  22.200000  57.000000   Friday\n",
              "\n",
              "[1372 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "id": "NmFsdBzigbce",
        "outputId": "f2cfa8c7-88f1-4064-89ce-2980353e1e27"
      },
      "source": [
        "df.head(15)"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>energy</th>\n",
              "      <th>temp</th>\n",
              "      <th>humidity</th>\n",
              "      <th>day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2016-01-11 17:00:00</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.308333</td>\n",
              "      <td>92.000000</td>\n",
              "      <td>Monday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2016-01-11 18:00:00</td>\n",
              "      <td>176.666667</td>\n",
              "      <td>5.941667</td>\n",
              "      <td>91.583333</td>\n",
              "      <td>Monday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2016-01-12 09:00:00</td>\n",
              "      <td>43.333333</td>\n",
              "      <td>5.008333</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2016-01-12 10:00:00</td>\n",
              "      <td>230.000000</td>\n",
              "      <td>5.758333</td>\n",
              "      <td>88.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2016-01-12 11:00:00</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.650000</td>\n",
              "      <td>83.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2016-01-12 12:00:00</td>\n",
              "      <td>186.666667</td>\n",
              "      <td>7.208333</td>\n",
              "      <td>80.166667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2016-01-12 13:00:00</td>\n",
              "      <td>151.666667</td>\n",
              "      <td>7.291667</td>\n",
              "      <td>79.833333</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2016-01-12 14:00:00</td>\n",
              "      <td>136.666667</td>\n",
              "      <td>6.958333</td>\n",
              "      <td>78.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2016-01-12 15:00:00</td>\n",
              "      <td>36.666667</td>\n",
              "      <td>6.650000</td>\n",
              "      <td>78.500000</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2016-01-12 16:00:00</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>6.383333</td>\n",
              "      <td>79.083333</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2016-01-12 17:00:00</td>\n",
              "      <td>218.333333</td>\n",
              "      <td>6.041667</td>\n",
              "      <td>79.166667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2016-01-12 18:00:00</td>\n",
              "      <td>58.333333</td>\n",
              "      <td>5.150000</td>\n",
              "      <td>87.500000</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2016-01-13 09:00:00</td>\n",
              "      <td>220.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>88.000000</td>\n",
              "      <td>Wednesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2016-01-13 10:00:00</td>\n",
              "      <td>66.666667</td>\n",
              "      <td>5.208333</td>\n",
              "      <td>85.083333</td>\n",
              "      <td>Wednesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2016-01-13 11:00:00</td>\n",
              "      <td>60.000000</td>\n",
              "      <td>5.708333</td>\n",
              "      <td>78.916667</td>\n",
              "      <td>Wednesday</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  date      energy      temp   humidity        day\n",
              "0  2016-01-11 17:00:00   55.000000  6.308333  92.000000     Monday\n",
              "1  2016-01-11 18:00:00  176.666667  5.941667  91.583333     Monday\n",
              "2  2016-01-12 09:00:00   43.333333  5.008333  91.000000    Tuesday\n",
              "3  2016-01-12 10:00:00  230.000000  5.758333  88.916667    Tuesday\n",
              "4  2016-01-12 11:00:00   55.000000  6.650000  83.916667    Tuesday\n",
              "5  2016-01-12 12:00:00  186.666667  7.208333  80.166667    Tuesday\n",
              "6  2016-01-12 13:00:00  151.666667  7.291667  79.833333    Tuesday\n",
              "7  2016-01-12 14:00:00  136.666667  6.958333  78.916667    Tuesday\n",
              "8  2016-01-12 15:00:00   36.666667  6.650000  78.500000    Tuesday\n",
              "9  2016-01-12 16:00:00   40.000000  6.383333  79.083333    Tuesday\n",
              "10 2016-01-12 17:00:00  218.333333  6.041667  79.166667    Tuesday\n",
              "11 2016-01-12 18:00:00   58.333333  5.150000  87.500000    Tuesday\n",
              "12 2016-01-13 09:00:00  220.000000  5.000000  88.000000  Wednesday\n",
              "13 2016-01-13 10:00:00   66.666667  5.208333  85.083333  Wednesday\n",
              "14 2016-01-13 11:00:00   60.000000  5.708333  78.916667  Wednesday"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lkozon5gA6GI",
        "colab": {
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          "height": 542
        },
        "outputId": "b3ab98da-5d24-48a3-b765-6d7533840916"
      },
      "source": [
        "fig = px.line(df, x='date', y='energy', hover_data=['day','temp'], title='Energy Use')\n",
        "\n",
        "fig.update_xaxes(\n",
        "    rangeslider_visible=True,\n",
        "    rangeselector=dict(\n",
        "        buttons=list([\n",
        "            dict(count=1, label=\"1d\", step=\"day\", stepmode=\"backward\"),\n",
        "            dict(count=14, label=\"14d\", step=\"day\", stepmode=\"backward\"),\n",
        "            dict(count=1, label=\"1m\", step=\"month\", stepmode=\"backward\"),\n",
        "            dict(count=3, label=\"3m\", step=\"month\", stepmode=\"backward\"),\n",
        "            dict(step=\"all\")\n",
        "        ])\n",
        "    )\n",
        ")\n",
        "fig.show()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
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          "data": {
            "text/plain": [
              "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7f389d743438>,\n",
              "       <matplotlib.axes._subplots.AxesSubplot object at 0x7f389d6c56d8>,\n",
              "       <matplotlib.axes._subplots.AxesSubplot object at 0x7f389be776d8>],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vcWCMnvcv-DH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "818cfd86-bcb0-4683-d116-269145fea4e5"
      },
      "source": [
        "power_df"
      ],
      "execution_count": 9,
      "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>energy</th>\n",
              "      <th>temp</th>\n",
              "      <th>humidity</th>\n",
              "      <th>day</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2016-01-11 17:00:00</th>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.308333</td>\n",
              "      <td>92.000000</td>\n",
              "      <td>Monday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-01-11 18:00:00</th>\n",
              "      <td>176.666667</td>\n",
              "      <td>5.941667</td>\n",
              "      <td>91.583333</td>\n",
              "      <td>Monday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-01-12 09:00:00</th>\n",
              "      <td>43.333333</td>\n",
              "      <td>5.008333</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-01-12 10:00:00</th>\n",
              "      <td>230.000000</td>\n",
              "      <td>5.758333</td>\n",
              "      <td>88.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-01-12 11:00:00</th>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.650000</td>\n",
              "      <td>83.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-05-27 14:00:00</th>\n",
              "      <td>101.666667</td>\n",
              "      <td>21.916667</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-05-27 15:00:00</th>\n",
              "      <td>76.666667</td>\n",
              "      <td>22.216667</td>\n",
              "      <td>57.333333</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-05-27 16:00:00</th>\n",
              "      <td>135.000000</td>\n",
              "      <td>22.883333</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-05-27 17:00:00</th>\n",
              "      <td>180.000000</td>\n",
              "      <td>22.666667</td>\n",
              "      <td>55.833333</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-05-27 18:00:00</th>\n",
              "      <td>430.000000</td>\n",
              "      <td>22.200000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1372 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         energy       temp   humidity      day\n",
              "date                                                          \n",
              "2016-01-11 17:00:00   55.000000   6.308333  92.000000   Monday\n",
              "2016-01-11 18:00:00  176.666667   5.941667  91.583333   Monday\n",
              "2016-01-12 09:00:00   43.333333   5.008333  91.000000  Tuesday\n",
              "2016-01-12 10:00:00  230.000000   5.758333  88.916667  Tuesday\n",
              "2016-01-12 11:00:00   55.000000   6.650000  83.916667  Tuesday\n",
              "...                         ...        ...        ...      ...\n",
              "2016-05-27 14:00:00  101.666667  21.916667  59.000000   Friday\n",
              "2016-05-27 15:00:00   76.666667  22.216667  57.333333   Friday\n",
              "2016-05-27 16:00:00  135.000000  22.883333  55.000000   Friday\n",
              "2016-05-27 17:00:00  180.000000  22.666667  55.833333   Friday\n",
              "2016-05-27 18:00:00  430.000000  22.200000  57.000000   Friday\n",
              "\n",
              "[1372 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
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      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "1SfLVSsvwIAn"
      },
      "source": [
        "filter1=df['day'] == 'Saturday'\n",
        "filter2=df['day'] == 'Sunday'\n",
        "df['weekday']=np.where(filter1 | filter2, 0, 1)"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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          "height": 419
        },
        "id": "hD4BSm2cwb9k",
        "outputId": "5e80214a-dce9-4bd6-d0c1-cd9132dee6ec"
      },
      "source": [
        "df"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>energy</th>\n",
              "      <th>temp</th>\n",
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              "      <th>0</th>\n",
              "      <td>2016-01-11 17:00:00</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.308333</td>\n",
              "      <td>92.000000</td>\n",
              "      <td>Monday</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2016-01-11 18:00:00</td>\n",
              "      <td>176.666667</td>\n",
              "      <td>5.941667</td>\n",
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              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2016-01-12 09:00:00</td>\n",
              "      <td>43.333333</td>\n",
              "      <td>5.008333</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>Tuesday</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2016-01-12 10:00:00</td>\n",
              "      <td>230.000000</td>\n",
              "      <td>5.758333</td>\n",
              "      <td>88.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2016-01-12 11:00:00</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>6.650000</td>\n",
              "      <td>83.916667</td>\n",
              "      <td>Tuesday</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "      <td>101.666667</td>\n",
              "      <td>21.916667</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>Friday</td>\n",
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              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
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              "      <td>Friday</td>\n",
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              "    <tr>\n",
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              "      <td>2016-05-27 16:00:00</td>\n",
              "      <td>135.000000</td>\n",
              "      <td>22.883333</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>Friday</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "      <td>180.000000</td>\n",
              "      <td>22.666667</td>\n",
              "      <td>55.833333</td>\n",
              "      <td>Friday</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "      <td>430.000000</td>\n",
              "      <td>22.200000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>Friday</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1372 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                    date      energy       temp   humidity      day  weekday\n",
              "0    2016-01-11 17:00:00   55.000000   6.308333  92.000000   Monday        1\n",
              "1    2016-01-11 18:00:00  176.666667   5.941667  91.583333   Monday        1\n",
              "2    2016-01-12 09:00:00   43.333333   5.008333  91.000000  Tuesday        1\n",
              "3    2016-01-12 10:00:00  230.000000   5.758333  88.916667  Tuesday        1\n",
              "4    2016-01-12 11:00:00   55.000000   6.650000  83.916667  Tuesday        1\n",
              "...                  ...         ...        ...        ...      ...      ...\n",
              "1367 2016-05-27 14:00:00  101.666667  21.916667  59.000000   Friday        1\n",
              "1368 2016-05-27 15:00:00   76.666667  22.216667  57.333333   Friday        1\n",
              "1369 2016-05-27 16:00:00  135.000000  22.883333  55.000000   Friday        1\n",
              "1370 2016-05-27 17:00:00  180.000000  22.666667  55.833333   Friday        1\n",
              "1371 2016-05-27 18:00:00  430.000000  22.200000  57.000000   Friday        1\n",
              "\n",
              "[1372 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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          "height": 419
        },
        "id": "6ulAhRF7weRx",
        "outputId": "5151e7c0-9a84-492b-8d3d-0550111d5e17"
      },
      "source": [
        "df.query(\"day=='Saturday' or day=='Sunday'\")"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>2016-01-16 09:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.591667</td>\n",
              "      <td>96.166667</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>0</td>\n",
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              "      <th>43</th>\n",
              "      <td>2016-01-16 10:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.625000</td>\n",
              "      <td>94.166667</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>2016-01-16 11:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>90.500000</td>\n",
              "      <td>Saturday</td>\n",
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              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>2016-01-16 12:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.200000</td>\n",
              "      <td>78.250000</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>2016-01-16 13:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.858333</td>\n",
              "      <td>71.833333</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1317</th>\n",
              "      <td>2016-05-22 14:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.550000</td>\n",
              "      <td>87.333333</td>\n",
              "      <td>Sunday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1318</th>\n",
              "      <td>2016-05-22 15:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.608333</td>\n",
              "      <td>87.083333</td>\n",
              "      <td>Sunday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1319</th>\n",
              "      <td>2016-05-22 16:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.325000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>Sunday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1320</th>\n",
              "      <td>2016-05-22 17:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.208333</td>\n",
              "      <td>91.666667</td>\n",
              "      <td>Sunday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1321</th>\n",
              "      <td>2016-05-22 18:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.925000</td>\n",
              "      <td>94.000000</td>\n",
              "      <td>Sunday</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>380 rows × 6 columns</p>\n",
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            ],
            "text/plain": [
              "                    date  energy       temp   humidity       day  weekday\n",
              "42   2016-01-16 09:00:00     0.0   1.591667  96.166667  Saturday        0\n",
              "43   2016-01-16 10:00:00     0.0   2.625000  94.166667  Saturday        0\n",
              "44   2016-01-16 11:00:00     0.0   4.000000  90.500000  Saturday        0\n",
              "45   2016-01-16 12:00:00     0.0   5.200000  78.250000  Saturday        0\n",
              "46   2016-01-16 13:00:00     0.0   5.858333  71.833333  Saturday        0\n",
              "...                  ...     ...        ...        ...       ...      ...\n",
              "1317 2016-05-22 14:00:00     0.0  16.550000  87.333333    Sunday        0\n",
              "1318 2016-05-22 15:00:00     0.0  16.608333  87.083333    Sunday        0\n",
              "1319 2016-05-22 16:00:00     0.0  16.325000  90.000000    Sunday        0\n",
              "1320 2016-05-22 17:00:00     0.0  16.208333  91.666667    Sunday        0\n",
              "1321 2016-05-22 18:00:00     0.0  15.925000  94.000000    Sunday        0\n",
              "\n",
              "[380 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
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        },
        "outputId": "bb93258b-a937-4a1e-d44e-d818f837e614"
      },
      "source": [
        "df['time_bin'] = pd.cut(df['date'].dt.hour,bins=3, labels=False)\n",
        "df['time_bin']"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       2\n",
              "1       2\n",
              "2       0\n",
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              "       ..\n",
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      "source": [
        "time_oh=pd.get_dummies(df['time_bin'], prefix='tbin')\n",
        "time_oh"
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      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
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              "    <tr>\n",
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              "<p>1372 rows × 3 columns</p>\n",
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              "      tbin_0  tbin_1  tbin_2\n",
              "0          0       0       1\n",
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              "1371       0       0       1\n",
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              "[1372 rows x 3 columns]"
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        "df=df.join(time_oh)"
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      "execution_count": 15,
      "outputs": []
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        "df_final=df[['date','energy','temp','humidity','weekday','tbin_0','tbin_1','tbin_2']].rename({'date':'ds','energy':'y'}, axis='columns')"
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      "execution_count": 17,
      "outputs": []
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      "source": [
        "train=df_final[(df_final['ds'] >= '2016-01-11') & (df_final['ds'] <= '2016-05-15')]\n",
        "test=df_final[(df_final['ds'] > '2016-05-15')]"
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      "outputs": []
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          "data": {
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          "data": {
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          "execution_count": 21
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1244</th>\n",
              "      <td>2016-05-15 11:00:00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>10.250000</td>\n",
              "      <td>59.750000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1245</th>\n",
              "      <td>2016-05-15 12:00:00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>10.891667</td>\n",
              "      <td>56.750000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1246</th>\n",
              "      <td>2016-05-15 13:00:00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>11.841667</td>\n",
              "      <td>52.500000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "      <td>101.666667</td>\n",
              "      <td>21.916667</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "      <td>76.666667</td>\n",
              "      <td>22.216667</td>\n",
              "      <td>57.333333</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1369</th>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "      <td>135.000000</td>\n",
              "      <td>22.883333</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "      <td>180.000000</td>\n",
              "      <td>22.666667</td>\n",
              "      <td>55.833333</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "      <td>430.000000</td>\n",
              "      <td>22.200000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>130 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds           y       temp  ...  tbin_0  tbin_1  tbin_2\n",
              "1242 2016-05-15 09:00:00    0.000000   8.575000  ...       1       0       0\n",
              "1243 2016-05-15 10:00:00    0.000000   9.475000  ...       1       0       0\n",
              "1244 2016-05-15 11:00:00    0.000000  10.250000  ...       1       0       0\n",
              "1245 2016-05-15 12:00:00    0.000000  10.891667  ...       1       0       0\n",
              "1246 2016-05-15 13:00:00    0.000000  11.841667  ...       0       1       0\n",
              "...                  ...         ...        ...  ...     ...     ...     ...\n",
              "1367 2016-05-27 14:00:00  101.666667  21.916667  ...       0       1       0\n",
              "1368 2016-05-27 15:00:00   76.666667  22.216667  ...       0       1       0\n",
              "1369 2016-05-27 16:00:00  135.000000  22.883333  ...       0       0       1\n",
              "1370 2016-05-27 17:00:00  180.000000  22.666667  ...       0       0       1\n",
              "1371 2016-05-27 18:00:00  430.000000  22.200000  ...       0       0       1\n",
              "\n",
              "[130 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ckWH1s5MdhcD"
      },
      "source": [
        "from fbprophet import Prophet\n",
        "m = Prophet()"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EdYcBXljzlcm",
        "outputId": "255928e9-3f43-471d-f0fb-b5ff703abb30"
      },
      "source": [
        "m.fit(train)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<fbprophet.forecaster.Prophet at 0x7f389bd56c50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Z2sJ_t1SzlVb",
        "outputId": "cd6611cd-6117-49c0-f9e0-53e34af0a150"
      },
      "source": [
        "future = m.make_future_dataframe(periods=130, freq='H')\n",
        "future.tail(50)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\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>ds</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1322</th>\n",
              "      <td>2016-05-18 03:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1323</th>\n",
              "      <td>2016-05-18 04:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1324</th>\n",
              "      <td>2016-05-18 05:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1325</th>\n",
              "      <td>2016-05-18 06:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1326</th>\n",
              "      <td>2016-05-18 07:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1327</th>\n",
              "      <td>2016-05-18 08:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1328</th>\n",
              "      <td>2016-05-18 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1329</th>\n",
              "      <td>2016-05-18 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1330</th>\n",
              "      <td>2016-05-18 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1331</th>\n",
              "      <td>2016-05-18 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1332</th>\n",
              "      <td>2016-05-18 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1333</th>\n",
              "      <td>2016-05-18 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1334</th>\n",
              "      <td>2016-05-18 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1335</th>\n",
              "      <td>2016-05-18 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1336</th>\n",
              "      <td>2016-05-18 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1337</th>\n",
              "      <td>2016-05-18 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1338</th>\n",
              "      <td>2016-05-18 19:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1339</th>\n",
              "      <td>2016-05-18 20:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1340</th>\n",
              "      <td>2016-05-18 21:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1341</th>\n",
              "      <td>2016-05-18 22:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1342</th>\n",
              "      <td>2016-05-18 23:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1343</th>\n",
              "      <td>2016-05-19 00:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1344</th>\n",
              "      <td>2016-05-19 01:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1345</th>\n",
              "      <td>2016-05-19 02:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1346</th>\n",
              "      <td>2016-05-19 03:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1347</th>\n",
              "      <td>2016-05-19 04:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1348</th>\n",
              "      <td>2016-05-19 05:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1349</th>\n",
              "      <td>2016-05-19 06:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1350</th>\n",
              "      <td>2016-05-19 07:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1351</th>\n",
              "      <td>2016-05-19 08:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1352</th>\n",
              "      <td>2016-05-19 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1353</th>\n",
              "      <td>2016-05-19 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1354</th>\n",
              "      <td>2016-05-19 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1355</th>\n",
              "      <td>2016-05-19 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1356</th>\n",
              "      <td>2016-05-19 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1357</th>\n",
              "      <td>2016-05-19 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1358</th>\n",
              "      <td>2016-05-19 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1359</th>\n",
              "      <td>2016-05-19 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1360</th>\n",
              "      <td>2016-05-19 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1361</th>\n",
              "      <td>2016-05-19 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1362</th>\n",
              "      <td>2016-05-19 19:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1363</th>\n",
              "      <td>2016-05-19 20:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1364</th>\n",
              "      <td>2016-05-19 21:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1365</th>\n",
              "      <td>2016-05-19 22:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1366</th>\n",
              "      <td>2016-05-19 23:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>2016-05-20 00:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>2016-05-20 01:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1369</th>\n",
              "      <td>2016-05-20 02:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>2016-05-20 03:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>2016-05-20 04:00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds\n",
              "1322 2016-05-18 03:00:00\n",
              "1323 2016-05-18 04:00:00\n",
              "1324 2016-05-18 05:00:00\n",
              "1325 2016-05-18 06:00:00\n",
              "1326 2016-05-18 07:00:00\n",
              "1327 2016-05-18 08:00:00\n",
              "1328 2016-05-18 09:00:00\n",
              "1329 2016-05-18 10:00:00\n",
              "1330 2016-05-18 11:00:00\n",
              "1331 2016-05-18 12:00:00\n",
              "1332 2016-05-18 13:00:00\n",
              "1333 2016-05-18 14:00:00\n",
              "1334 2016-05-18 15:00:00\n",
              "1335 2016-05-18 16:00:00\n",
              "1336 2016-05-18 17:00:00\n",
              "1337 2016-05-18 18:00:00\n",
              "1338 2016-05-18 19:00:00\n",
              "1339 2016-05-18 20:00:00\n",
              "1340 2016-05-18 21:00:00\n",
              "1341 2016-05-18 22:00:00\n",
              "1342 2016-05-18 23:00:00\n",
              "1343 2016-05-19 00:00:00\n",
              "1344 2016-05-19 01:00:00\n",
              "1345 2016-05-19 02:00:00\n",
              "1346 2016-05-19 03:00:00\n",
              "1347 2016-05-19 04:00:00\n",
              "1348 2016-05-19 05:00:00\n",
              "1349 2016-05-19 06:00:00\n",
              "1350 2016-05-19 07:00:00\n",
              "1351 2016-05-19 08:00:00\n",
              "1352 2016-05-19 09:00:00\n",
              "1353 2016-05-19 10:00:00\n",
              "1354 2016-05-19 11:00:00\n",
              "1355 2016-05-19 12:00:00\n",
              "1356 2016-05-19 13:00:00\n",
              "1357 2016-05-19 14:00:00\n",
              "1358 2016-05-19 15:00:00\n",
              "1359 2016-05-19 16:00:00\n",
              "1360 2016-05-19 17:00:00\n",
              "1361 2016-05-19 18:00:00\n",
              "1362 2016-05-19 19:00:00\n",
              "1363 2016-05-19 20:00:00\n",
              "1364 2016-05-19 21:00:00\n",
              "1365 2016-05-19 22:00:00\n",
              "1366 2016-05-19 23:00:00\n",
              "1367 2016-05-20 00:00:00\n",
              "1368 2016-05-20 01:00:00\n",
              "1369 2016-05-20 02:00:00\n",
              "1370 2016-05-20 03:00:00\n",
              "1371 2016-05-20 04:00:00"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "qXe0D4HczlR4",
        "outputId": "c94c57f4-c5bc-4a26-f376-b55ead8cc5d0"
      },
      "source": [
        "future = m.make_future_dataframe(periods=312, freq='H')\n",
        "future"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ds</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2016-01-11 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2016-01-11 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2016-01-12 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2016-01-12 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2016-01-12 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1549</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1550</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1551</th>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1552</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1553</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1554 rows × 1 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds\n",
              "0    2016-01-11 17:00:00\n",
              "1    2016-01-11 18:00:00\n",
              "2    2016-01-12 09:00:00\n",
              "3    2016-01-12 10:00:00\n",
              "4    2016-01-12 11:00:00\n",
              "...                  ...\n",
              "1549 2016-05-27 14:00:00\n",
              "1550 2016-05-27 15:00:00\n",
              "1551 2016-05-27 16:00:00\n",
              "1552 2016-05-27 17:00:00\n",
              "1553 2016-05-27 18:00:00\n",
              "\n",
              "[1554 rows x 1 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "DQ5aipJCFIH4",
        "outputId": "871be456-4b24-48b9-dbc5-6fccb8f86ced"
      },
      "source": [
        "fcst = m.predict(future)\n",
        "fig = m.plot(fcst)"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 669
        },
        "id": "JKcWckCveEKV",
        "outputId": "b4859c91-438b-41b2-b0dc-3357fff12af7"
      },
      "source": [
        "fcst[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(20)"
      ],
      "execution_count": 28,
      "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>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1534</th>\n",
              "      <td>2016-05-26 23:00:00</td>\n",
              "      <td>68.842427</td>\n",
              "      <td>-29.040286</td>\n",
              "      <td>178.347000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1535</th>\n",
              "      <td>2016-05-27 00:00:00</td>\n",
              "      <td>84.642408</td>\n",
              "      <td>-18.192907</td>\n",
              "      <td>190.291430</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1536</th>\n",
              "      <td>2016-05-27 01:00:00</td>\n",
              "      <td>117.869630</td>\n",
              "      <td>12.397760</td>\n",
              "      <td>226.535568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1537</th>\n",
              "      <td>2016-05-27 02:00:00</td>\n",
              "      <td>141.712202</td>\n",
              "      <td>39.305314</td>\n",
              "      <td>247.601450</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1538</th>\n",
              "      <td>2016-05-27 03:00:00</td>\n",
              "      <td>139.643126</td>\n",
              "      <td>33.185376</td>\n",
              "      <td>245.581937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1539</th>\n",
              "      <td>2016-05-27 04:00:00</td>\n",
              "      <td>116.624552</td>\n",
              "      <td>12.833742</td>\n",
              "      <td>225.416443</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1540</th>\n",
              "      <td>2016-05-27 05:00:00</td>\n",
              "      <td>92.091693</td>\n",
              "      <td>-18.894334</td>\n",
              "      <td>199.203219</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1541</th>\n",
              "      <td>2016-05-27 06:00:00</td>\n",
              "      <td>82.776661</td>\n",
              "      <td>-25.975730</td>\n",
              "      <td>180.439037</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1542</th>\n",
              "      <td>2016-05-27 07:00:00</td>\n",
              "      <td>91.012269</td>\n",
              "      <td>-19.695735</td>\n",
              "      <td>195.823522</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1543</th>\n",
              "      <td>2016-05-27 08:00:00</td>\n",
              "      <td>107.076293</td>\n",
              "      <td>1.309135</td>\n",
              "      <td>216.323643</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1544</th>\n",
              "      <td>2016-05-27 09:00:00</td>\n",
              "      <td>120.397683</td>\n",
              "      <td>16.080172</td>\n",
              "      <td>226.276428</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1545</th>\n",
              "      <td>2016-05-27 10:00:00</td>\n",
              "      <td>127.575017</td>\n",
              "      <td>18.195380</td>\n",
              "      <td>238.001536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1546</th>\n",
              "      <td>2016-05-27 11:00:00</td>\n",
              "      <td>130.815635</td>\n",
              "      <td>27.548189</td>\n",
              "      <td>233.683013</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1547</th>\n",
              "      <td>2016-05-27 12:00:00</td>\n",
              "      <td>131.446762</td>\n",
              "      <td>23.272621</td>\n",
              "      <td>233.175838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1548</th>\n",
              "      <td>2016-05-27 13:00:00</td>\n",
              "      <td>127.653298</td>\n",
              "      <td>18.111432</td>\n",
              "      <td>235.791360</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1549</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "      <td>119.304839</td>\n",
              "      <td>13.642532</td>\n",
              "      <td>222.789226</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1550</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "      <td>113.170961</td>\n",
              "      <td>9.652800</td>\n",
              "      <td>222.180940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1551</th>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "      <td>120.041926</td>\n",
              "      <td>12.665555</td>\n",
              "      <td>235.646539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1552</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "      <td>143.917671</td>\n",
              "      <td>36.793723</td>\n",
              "      <td>249.177849</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1553</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "      <td>173.575134</td>\n",
              "      <td>64.357092</td>\n",
              "      <td>276.913868</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds        yhat  yhat_lower  yhat_upper\n",
              "1534 2016-05-26 23:00:00   68.842427  -29.040286  178.347000\n",
              "1535 2016-05-27 00:00:00   84.642408  -18.192907  190.291430\n",
              "1536 2016-05-27 01:00:00  117.869630   12.397760  226.535568\n",
              "1537 2016-05-27 02:00:00  141.712202   39.305314  247.601450\n",
              "1538 2016-05-27 03:00:00  139.643126   33.185376  245.581937\n",
              "1539 2016-05-27 04:00:00  116.624552   12.833742  225.416443\n",
              "1540 2016-05-27 05:00:00   92.091693  -18.894334  199.203219\n",
              "1541 2016-05-27 06:00:00   82.776661  -25.975730  180.439037\n",
              "1542 2016-05-27 07:00:00   91.012269  -19.695735  195.823522\n",
              "1543 2016-05-27 08:00:00  107.076293    1.309135  216.323643\n",
              "1544 2016-05-27 09:00:00  120.397683   16.080172  226.276428\n",
              "1545 2016-05-27 10:00:00  127.575017   18.195380  238.001536\n",
              "1546 2016-05-27 11:00:00  130.815635   27.548189  233.683013\n",
              "1547 2016-05-27 12:00:00  131.446762   23.272621  233.175838\n",
              "1548 2016-05-27 13:00:00  127.653298   18.111432  235.791360\n",
              "1549 2016-05-27 14:00:00  119.304839   13.642532  222.789226\n",
              "1550 2016-05-27 15:00:00  113.170961    9.652800  222.180940\n",
              "1551 2016-05-27 16:00:00  120.041926   12.665555  235.646539\n",
              "1552 2016-05-27 17:00:00  143.917671   36.793723  249.177849\n",
              "1553 2016-05-27 18:00:00  173.575134   64.357092  276.913868"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3Sr9UgtUzlKa",
        "outputId": "3db0b428-0bcc-453d-9773-77b2e859e986"
      },
      "source": [
        "future_final = future.copy()\n",
        "future_final = future_final[future_final['ds'].dt.hour > 8][future_final['ds'].dt.hour < 19]"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: UserWarning:\n",
            "\n",
            "Boolean Series key will be reindexed to match DataFrame index.\n",
            "\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ROnCV0gaEa2O",
        "outputId": "d56eacf4-4b53-40cf-ee2a-7c74f7139561"
      },
      "source": [
        "future_final.tail(50)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ds</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1448</th>\n",
              "      <td>2016-05-23 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1449</th>\n",
              "      <td>2016-05-23 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1450</th>\n",
              "      <td>2016-05-23 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1451</th>\n",
              "      <td>2016-05-23 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1452</th>\n",
              "      <td>2016-05-23 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1453</th>\n",
              "      <td>2016-05-23 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1454</th>\n",
              "      <td>2016-05-23 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1455</th>\n",
              "      <td>2016-05-23 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1456</th>\n",
              "      <td>2016-05-23 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1457</th>\n",
              "      <td>2016-05-23 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1472</th>\n",
              "      <td>2016-05-24 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1473</th>\n",
              "      <td>2016-05-24 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1474</th>\n",
              "      <td>2016-05-24 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1475</th>\n",
              "      <td>2016-05-24 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1476</th>\n",
              "      <td>2016-05-24 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1477</th>\n",
              "      <td>2016-05-24 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1478</th>\n",
              "      <td>2016-05-24 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1479</th>\n",
              "      <td>2016-05-24 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1480</th>\n",
              "      <td>2016-05-24 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1481</th>\n",
              "      <td>2016-05-24 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1496</th>\n",
              "      <td>2016-05-25 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1497</th>\n",
              "      <td>2016-05-25 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1498</th>\n",
              "      <td>2016-05-25 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1499</th>\n",
              "      <td>2016-05-25 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1500</th>\n",
              "      <td>2016-05-25 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1501</th>\n",
              "      <td>2016-05-25 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1502</th>\n",
              "      <td>2016-05-25 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1503</th>\n",
              "      <td>2016-05-25 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1504</th>\n",
              "      <td>2016-05-25 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1505</th>\n",
              "      <td>2016-05-25 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1520</th>\n",
              "      <td>2016-05-26 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1521</th>\n",
              "      <td>2016-05-26 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1522</th>\n",
              "      <td>2016-05-26 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1523</th>\n",
              "      <td>2016-05-26 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1524</th>\n",
              "      <td>2016-05-26 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1525</th>\n",
              "      <td>2016-05-26 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1526</th>\n",
              "      <td>2016-05-26 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1527</th>\n",
              "      <td>2016-05-26 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1528</th>\n",
              "      <td>2016-05-26 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1529</th>\n",
              "      <td>2016-05-26 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1544</th>\n",
              "      <td>2016-05-27 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1545</th>\n",
              "      <td>2016-05-27 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1546</th>\n",
              "      <td>2016-05-27 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1547</th>\n",
              "      <td>2016-05-27 12:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1548</th>\n",
              "      <td>2016-05-27 13:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1549</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1550</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1551</th>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1552</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1553</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds\n",
              "1448 2016-05-23 09:00:00\n",
              "1449 2016-05-23 10:00:00\n",
              "1450 2016-05-23 11:00:00\n",
              "1451 2016-05-23 12:00:00\n",
              "1452 2016-05-23 13:00:00\n",
              "1453 2016-05-23 14:00:00\n",
              "1454 2016-05-23 15:00:00\n",
              "1455 2016-05-23 16:00:00\n",
              "1456 2016-05-23 17:00:00\n",
              "1457 2016-05-23 18:00:00\n",
              "1472 2016-05-24 09:00:00\n",
              "1473 2016-05-24 10:00:00\n",
              "1474 2016-05-24 11:00:00\n",
              "1475 2016-05-24 12:00:00\n",
              "1476 2016-05-24 13:00:00\n",
              "1477 2016-05-24 14:00:00\n",
              "1478 2016-05-24 15:00:00\n",
              "1479 2016-05-24 16:00:00\n",
              "1480 2016-05-24 17:00:00\n",
              "1481 2016-05-24 18:00:00\n",
              "1496 2016-05-25 09:00:00\n",
              "1497 2016-05-25 10:00:00\n",
              "1498 2016-05-25 11:00:00\n",
              "1499 2016-05-25 12:00:00\n",
              "1500 2016-05-25 13:00:00\n",
              "1501 2016-05-25 14:00:00\n",
              "1502 2016-05-25 15:00:00\n",
              "1503 2016-05-25 16:00:00\n",
              "1504 2016-05-25 17:00:00\n",
              "1505 2016-05-25 18:00:00\n",
              "1520 2016-05-26 09:00:00\n",
              "1521 2016-05-26 10:00:00\n",
              "1522 2016-05-26 11:00:00\n",
              "1523 2016-05-26 12:00:00\n",
              "1524 2016-05-26 13:00:00\n",
              "1525 2016-05-26 14:00:00\n",
              "1526 2016-05-26 15:00:00\n",
              "1527 2016-05-26 16:00:00\n",
              "1528 2016-05-26 17:00:00\n",
              "1529 2016-05-26 18:00:00\n",
              "1544 2016-05-27 09:00:00\n",
              "1545 2016-05-27 10:00:00\n",
              "1546 2016-05-27 11:00:00\n",
              "1547 2016-05-27 12:00:00\n",
              "1548 2016-05-27 13:00:00\n",
              "1549 2016-05-27 14:00:00\n",
              "1550 2016-05-27 15:00:00\n",
              "1551 2016-05-27 16:00:00\n",
              "1552 2016-05-27 17:00:00\n",
              "1553 2016-05-27 18:00:00"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "hiUP1SQ5HPod",
        "outputId": "5b71165f-4aa4-4b87-f996-81f43afee1ce"
      },
      "source": [
        "fcst = m.predict(future_final)\n",
        "fig = m.plot(fcst)"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 657
        },
        "id": "lxtXTdO1olhW",
        "outputId": "1bcb5c65-9bc6-4a3e-de56-a665da3ea150"
      },
      "source": [
        "fig2 = m.plot_components(fcst)"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x648 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 669
        },
        "id": "Y5AtWmSarYUW",
        "outputId": "c64780c1-6ace-471c-f653-65f127304f1e"
      },
      "source": [
        "fcst[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(20)"
      ],
      "execution_count": 33,
      "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>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1352</th>\n",
              "      <td>2016-05-26 09:00:00</td>\n",
              "      <td>81.359654</td>\n",
              "      <td>-27.999993</td>\n",
              "      <td>185.762250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1353</th>\n",
              "      <td>2016-05-26 10:00:00</td>\n",
              "      <td>88.986999</td>\n",
              "      <td>-18.503448</td>\n",
              "      <td>187.379629</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1354</th>\n",
              "      <td>2016-05-26 11:00:00</td>\n",
              "      <td>93.219755</td>\n",
              "      <td>-8.713316</td>\n",
              "      <td>206.373354</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1355</th>\n",
              "      <td>2016-05-26 12:00:00</td>\n",
              "      <td>95.421074</td>\n",
              "      <td>-15.505952</td>\n",
              "      <td>199.791496</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1356</th>\n",
              "      <td>2016-05-26 13:00:00</td>\n",
              "      <td>93.805897</td>\n",
              "      <td>-0.627139</td>\n",
              "      <td>197.964445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1357</th>\n",
              "      <td>2016-05-26 14:00:00</td>\n",
              "      <td>88.267350</td>\n",
              "      <td>-24.432942</td>\n",
              "      <td>197.525181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1358</th>\n",
              "      <td>2016-05-26 15:00:00</td>\n",
              "      <td>85.591462</td>\n",
              "      <td>-22.915809</td>\n",
              "      <td>186.554521</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1359</th>\n",
              "      <td>2016-05-26 16:00:00</td>\n",
              "      <td>96.577394</td>\n",
              "      <td>-5.458352</td>\n",
              "      <td>208.299119</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1360</th>\n",
              "      <td>2016-05-26 17:00:00</td>\n",
              "      <td>125.226041</td>\n",
              "      <td>20.460064</td>\n",
              "      <td>224.226107</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1361</th>\n",
              "      <td>2016-05-26 18:00:00</td>\n",
              "      <td>160.307060</td>\n",
              "      <td>52.955473</td>\n",
              "      <td>258.137603</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1362</th>\n",
              "      <td>2016-05-27 09:00:00</td>\n",
              "      <td>120.397683</td>\n",
              "      <td>11.397547</td>\n",
              "      <td>224.160874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1363</th>\n",
              "      <td>2016-05-27 10:00:00</td>\n",
              "      <td>127.575017</td>\n",
              "      <td>15.643381</td>\n",
              "      <td>230.938152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1364</th>\n",
              "      <td>2016-05-27 11:00:00</td>\n",
              "      <td>130.815635</td>\n",
              "      <td>31.318316</td>\n",
              "      <td>240.963334</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1365</th>\n",
              "      <td>2016-05-27 12:00:00</td>\n",
              "      <td>131.446762</td>\n",
              "      <td>17.460968</td>\n",
              "      <td>234.111263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1366</th>\n",
              "      <td>2016-05-27 13:00:00</td>\n",
              "      <td>127.653298</td>\n",
              "      <td>14.599865</td>\n",
              "      <td>228.771867</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "      <td>119.304839</td>\n",
              "      <td>12.213515</td>\n",
              "      <td>220.997042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "      <td>113.170961</td>\n",
              "      <td>9.789293</td>\n",
              "      <td>220.483185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1369</th>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "      <td>120.041926</td>\n",
              "      <td>7.369936</td>\n",
              "      <td>224.834873</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "      <td>143.917671</td>\n",
              "      <td>33.850822</td>\n",
              "      <td>244.884520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "      <td>173.575134</td>\n",
              "      <td>67.510966</td>\n",
              "      <td>280.686305</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds        yhat  yhat_lower  yhat_upper\n",
              "1352 2016-05-26 09:00:00   81.359654  -27.999993  185.762250\n",
              "1353 2016-05-26 10:00:00   88.986999  -18.503448  187.379629\n",
              "1354 2016-05-26 11:00:00   93.219755   -8.713316  206.373354\n",
              "1355 2016-05-26 12:00:00   95.421074  -15.505952  199.791496\n",
              "1356 2016-05-26 13:00:00   93.805897   -0.627139  197.964445\n",
              "1357 2016-05-26 14:00:00   88.267350  -24.432942  197.525181\n",
              "1358 2016-05-26 15:00:00   85.591462  -22.915809  186.554521\n",
              "1359 2016-05-26 16:00:00   96.577394   -5.458352  208.299119\n",
              "1360 2016-05-26 17:00:00  125.226041   20.460064  224.226107\n",
              "1361 2016-05-26 18:00:00  160.307060   52.955473  258.137603\n",
              "1362 2016-05-27 09:00:00  120.397683   11.397547  224.160874\n",
              "1363 2016-05-27 10:00:00  127.575017   15.643381  230.938152\n",
              "1364 2016-05-27 11:00:00  130.815635   31.318316  240.963334\n",
              "1365 2016-05-27 12:00:00  131.446762   17.460968  234.111263\n",
              "1366 2016-05-27 13:00:00  127.653298   14.599865  228.771867\n",
              "1367 2016-05-27 14:00:00  119.304839   12.213515  220.997042\n",
              "1368 2016-05-27 15:00:00  113.170961    9.789293  220.483185\n",
              "1369 2016-05-27 16:00:00  120.041926    7.369936  224.834873\n",
              "1370 2016-05-27 17:00:00  143.917671   33.850822  244.884520\n",
              "1371 2016-05-27 18:00:00  173.575134   67.510966  280.686305"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u8SD-RfXXlJp",
        "outputId": "52160528-d00d-4f00-c7d5-7b8d8a294c67"
      },
      "source": [
        "fcst['day'] = fcst['ds'].dt.day_name()\n",
        "fcst['day']"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        Monday\n",
              "1        Monday\n",
              "2       Tuesday\n",
              "3       Tuesday\n",
              "4       Tuesday\n",
              "         ...   \n",
              "1367     Friday\n",
              "1368     Friday\n",
              "1369     Friday\n",
              "1370     Friday\n",
              "1371     Friday\n",
              "Name: day, Length: 1372, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "0JuTDP4gsqDv",
        "outputId": "0ca08cb1-951b-4dad-e445-7ef21606f5bb"
      },
      "source": [
        "fcst[['ds','day', 'yhat', 'yhat_lower', 'yhat_upper']].query(\"day == 'Saturday'\")"
      ],
      "execution_count": 35,
      "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>ds</th>\n",
              "      <th>day</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>2016-01-16 09:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>7.397032</td>\n",
              "      <td>-100.908758</td>\n",
              "      <td>117.507669</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>2016-01-16 10:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>6.024094</td>\n",
              "      <td>-101.648992</td>\n",
              "      <td>112.726460</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>2016-01-16 11:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>1.235380</td>\n",
              "      <td>-105.330057</td>\n",
              "      <td>111.991055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>2016-01-16 12:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-5.549542</td>\n",
              "      <td>-109.561039</td>\n",
              "      <td>101.444443</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>2016-01-16 13:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-16.056961</td>\n",
              "      <td>-119.466288</td>\n",
              "      <td>92.844074</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1307</th>\n",
              "      <td>2016-05-21 14:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-31.146074</td>\n",
              "      <td>-128.392444</td>\n",
              "      <td>75.841185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1308</th>\n",
              "      <td>2016-05-21 15:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-42.384407</td>\n",
              "      <td>-148.161363</td>\n",
              "      <td>56.757263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1309</th>\n",
              "      <td>2016-05-21 16:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-39.680837</td>\n",
              "      <td>-151.811443</td>\n",
              "      <td>58.367520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1310</th>\n",
              "      <td>2016-05-21 17:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-18.970789</td>\n",
              "      <td>-133.396920</td>\n",
              "      <td>87.474598</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1311</th>\n",
              "      <td>2016-05-21 18:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>8.579030</td>\n",
              "      <td>-103.355399</td>\n",
              "      <td>110.114752</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>190 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds       day       yhat  yhat_lower  yhat_upper\n",
              "42   2016-01-16 09:00:00  Saturday   7.397032 -100.908758  117.507669\n",
              "43   2016-01-16 10:00:00  Saturday   6.024094 -101.648992  112.726460\n",
              "44   2016-01-16 11:00:00  Saturday   1.235380 -105.330057  111.991055\n",
              "45   2016-01-16 12:00:00  Saturday  -5.549542 -109.561039  101.444443\n",
              "46   2016-01-16 13:00:00  Saturday -16.056961 -119.466288   92.844074\n",
              "...                  ...       ...        ...         ...         ...\n",
              "1307 2016-05-21 14:00:00  Saturday -31.146074 -128.392444   75.841185\n",
              "1308 2016-05-21 15:00:00  Saturday -42.384407 -148.161363   56.757263\n",
              "1309 2016-05-21 16:00:00  Saturday -39.680837 -151.811443   58.367520\n",
              "1310 2016-05-21 17:00:00  Saturday -18.970789 -133.396920   87.474598\n",
              "1311 2016-05-21 18:00:00  Saturday   8.579030 -103.355399  110.114752\n",
              "\n",
              "[190 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e1M2P3JOHPZD",
        "outputId": "f4704bc2-bf41-45ee-9c23-a01d6676bb0c"
      },
      "source": [
        "m = Prophet(seasonality_mode='multiplicative', daily_seasonality=True, interval_width=0.95)\n",
        "m.add_regressor('weekday',standardize=False)\n",
        "m.add_regressor('temp',standardize=False )\n",
        "m.add_regressor('tbin_0',standardize=False)\n",
        "m.add_regressor('tbin_1',standardize=False)\n",
        "m.add_regressor('tbin_2',standardize=False)"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<fbprophet.forecaster.Prophet at 0x7f388c13c1d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lb_b2S7BFFDo",
        "outputId": "3b73121d-4f86-4641-befc-52b8c4f3f67b"
      },
      "source": [
        "m.fit(train)"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<fbprophet.forecaster.Prophet at 0x7f388c13c1d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZAfsH5pDKS1I",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "3cef793a-77e0-49fe-f78f-20678ed770c5"
      },
      "source": [
        "future_final=future_final.reset_index()\n",
        "future_final"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>ds</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2016-01-11 17:00:00</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2016-01-11 18:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>2016-01-12 09:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>2016-01-12 10:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>2016-01-12 11:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>1549</td>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>1550</td>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1369</th>\n",
              "      <td>1551</td>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>1552</td>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>1553</td>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1372 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      index                  ds\n",
              "0         0 2016-01-11 17:00:00\n",
              "1         1 2016-01-11 18:00:00\n",
              "2         2 2016-01-12 09:00:00\n",
              "3         3 2016-01-12 10:00:00\n",
              "4         4 2016-01-12 11:00:00\n",
              "...     ...                 ...\n",
              "1367   1549 2016-05-27 14:00:00\n",
              "1368   1550 2016-05-27 15:00:00\n",
              "1369   1551 2016-05-27 16:00:00\n",
              "1370   1552 2016-05-27 17:00:00\n",
              "1371   1553 2016-05-27 18:00:00\n",
              "\n",
              "[1372 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GAWeDcbPIGuN"
      },
      "source": [
        "future_final['weekday'] = df_final['weekday']\n",
        "future_final['temp'] = df_final['temp']\n",
        "future_final['tbin_0'] = df_final['tbin_0']\n",
        "future_final['tbin_1'] = df_final['tbin_1']\n",
        "future_final['tbin_2'] = df_final['tbin_2']"
      ],
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "O7cnsj-qIaJ7",
        "outputId": "4972200a-5090-4c9a-8c71-ecb035266de1"
      },
      "source": [
        "future_final"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>ds</th>\n",
              "      <th>weekday</th>\n",
              "      <th>temp</th>\n",
              "      <th>tbin_0</th>\n",
              "      <th>tbin_1</th>\n",
              "      <th>tbin_2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2016-01-11 17:00:00</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2016-01-11 18:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>5.941667</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>2016-01-12 09:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>5.008333</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>2016-01-12 10:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>5.758333</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>2016-01-12 11:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>6.650000</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>1549</td>\n",
              "      <td>2016-05-27 14:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>21.916667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1368</th>\n",
              "      <td>1550</td>\n",
              "      <td>2016-05-27 15:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>22.216667</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1369</th>\n",
              "      <td>1551</td>\n",
              "      <td>2016-05-27 16:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>22.883333</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1370</th>\n",
              "      <td>1552</td>\n",
              "      <td>2016-05-27 17:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>22.666667</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1371</th>\n",
              "      <td>1553</td>\n",
              "      <td>2016-05-27 18:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>22.200000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1372 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      index                  ds  weekday       temp  tbin_0  tbin_1  tbin_2\n",
              "0         0 2016-01-11 17:00:00        1   6.308333       0       0       1\n",
              "1         1 2016-01-11 18:00:00        1   5.941667       0       0       1\n",
              "2         2 2016-01-12 09:00:00        1   5.008333       1       0       0\n",
              "3         3 2016-01-12 10:00:00        1   5.758333       1       0       0\n",
              "4         4 2016-01-12 11:00:00        1   6.650000       1       0       0\n",
              "...     ...                 ...      ...        ...     ...     ...     ...\n",
              "1367   1549 2016-05-27 14:00:00        1  21.916667       0       1       0\n",
              "1368   1550 2016-05-27 15:00:00        1  22.216667       0       1       0\n",
              "1369   1551 2016-05-27 16:00:00        1  22.883333       0       0       1\n",
              "1370   1552 2016-05-27 17:00:00        1  22.666667       0       0       1\n",
              "1371   1553 2016-05-27 18:00:00        1  22.200000       0       0       1\n",
              "\n",
              "[1372 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "7cl348wCFE3-",
        "outputId": "e8e74b85-debe-4d7b-ca5c-1b6c3634d27b"
      },
      "source": [
        "fcst = m.predict(future_final)\n",
        "fig  = m.plot(fcst)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "A-R6ZMdDml0h",
        "outputId": "ae782462-f065-44ce-fccc-7342366973f5"
      },
      "source": [
        "fcst['day'] = fcst['ds'].dt.day_name()\n",
        "fcst[['ds','day', 'yhat', 'yhat_lower', 'yhat_upper']].query(\"day == 'Saturday'\")"
      ],
      "execution_count": 42,
      "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>ds</th>\n",
              "      <th>day</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>2016-01-16 09:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>10.439543</td>\n",
              "      <td>-155.255663</td>\n",
              "      <td>158.396909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>2016-01-16 10:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>8.263593</td>\n",
              "      <td>-146.016632</td>\n",
              "      <td>162.600818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>2016-01-16 11:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>7.617236</td>\n",
              "      <td>-144.892853</td>\n",
              "      <td>164.870687</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>2016-01-16 12:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>2.249481</td>\n",
              "      <td>-150.591437</td>\n",
              "      <td>155.864536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>2016-01-16 13:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>1.065888</td>\n",
              "      <td>-165.016645</td>\n",
              "      <td>151.173361</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1307</th>\n",
              "      <td>2016-05-21 14:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-13.387063</td>\n",
              "      <td>-166.247053</td>\n",
              "      <td>146.277328</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1308</th>\n",
              "      <td>2016-05-21 15:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-19.001277</td>\n",
              "      <td>-182.053817</td>\n",
              "      <td>142.033565</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1309</th>\n",
              "      <td>2016-05-21 16:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>-17.672665</td>\n",
              "      <td>-182.405239</td>\n",
              "      <td>148.966920</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1310</th>\n",
              "      <td>2016-05-21 17:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>4.068098</td>\n",
              "      <td>-152.095848</td>\n",
              "      <td>160.803597</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1311</th>\n",
              "      <td>2016-05-21 18:00:00</td>\n",
              "      <td>Saturday</td>\n",
              "      <td>22.698640</td>\n",
              "      <td>-127.098125</td>\n",
              "      <td>182.813085</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>190 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ds       day       yhat  yhat_lower  yhat_upper\n",
              "42   2016-01-16 09:00:00  Saturday  10.439543 -155.255663  158.396909\n",
              "43   2016-01-16 10:00:00  Saturday   8.263593 -146.016632  162.600818\n",
              "44   2016-01-16 11:00:00  Saturday   7.617236 -144.892853  164.870687\n",
              "45   2016-01-16 12:00:00  Saturday   2.249481 -150.591437  155.864536\n",
              "46   2016-01-16 13:00:00  Saturday   1.065888 -165.016645  151.173361\n",
              "...                  ...       ...        ...         ...         ...\n",
              "1307 2016-05-21 14:00:00  Saturday -13.387063 -166.247053  146.277328\n",
              "1308 2016-05-21 15:00:00  Saturday -19.001277 -182.053817  142.033565\n",
              "1309 2016-05-21 16:00:00  Saturday -17.672665 -182.405239  148.966920\n",
              "1310 2016-05-21 17:00:00  Saturday   4.068098 -152.095848  160.803597\n",
              "1311 2016-05-21 18:00:00  Saturday  22.698640 -127.098125  182.813085\n",
              "\n",
              "[190 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vrcN9JTQbDl1"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}