{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copyright 2025 Google LLC\n",
    "#\n",
    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "#     https://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BigFrames AI Forecast\n",
    "\n",
    "<table align=\"left\">\n",
    "\n",
    "  <td>\n",
    "    <a href=\"https://colab.research.google.com/github/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_ai_forecast.ipynb\">\n",
    "      <img src=\"https://raw.githubusercontent.com/googleapis/python-bigquery-dataframes/refs/heads/main/third_party/logo/colab-logo.png\" alt=\"Colab logo\"> Run in Colab\n",
    "    </a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a href=\"https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_ai_forecast.ipynb\">\n",
    "      <img src=\"https://raw.githubusercontent.com/googleapis/python-bigquery-dataframes/refs/heads/main/third_party/logo/github-logo.png\" width=\"32\" alt=\"GitHub logo\">\n",
    "      View on GitHub\n",
    "    </a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a href=\"https://console.cloud.google.com/bigquery/import?url=https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_ai_forecast.ipynb\">\n",
    "      <img src=\"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTW1gvOovVlbZAIZylUtf5Iu8-693qS1w5NJw&s\" alt=\"BQ logo\" width=\"35\">\n",
    "      Open in BQ Studio\n",
    "    </a>\n",
    "  </td>\n",
    "</table>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This Notebook introduces forecasting with GenAI Fundation Model with BigFrames AI."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "PROJECT = \"bigframes-dev\" # replace with your project\n",
    "\n",
    "import bigframes.pandas as bpd\n",
    "bpd.options.bigquery.project = PROJECT\n",
    "bpd.options.display.progress_bar = None\n",
    "\n",
    "# Optional, but recommended: partial ordering mode can accelerate executions and save costs.\n",
    "bpd.options.bigquery.ordering_mode = \"partial\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Create a BigFrames DataFrames from BigQuery public data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "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>trip_id</th>\n",
       "      <th>duration_sec</th>\n",
       "      <th>start_date</th>\n",
       "      <th>start_station_name</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>end_date</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>bike_number</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>...</th>\n",
       "      <th>c_subscription_type</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>member_birth_year</th>\n",
       "      <th>member_gender</th>\n",
       "      <th>bike_share_for_all_trip</th>\n",
       "      <th>start_station_geom</th>\n",
       "      <th>end_station_geom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20171215164722144</td>\n",
       "      <td>501</td>\n",
       "      <td>2017-12-15 16:47:22+00:00</td>\n",
       "      <td>10th St at Fallon St</td>\n",
       "      <td>201</td>\n",
       "      <td>2017-12-15 16:55:44+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>144</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.797673</td>\n",
       "      <td>-122.262997</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1984</td>\n",
       "      <td>Male</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.263 37.79767)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>201708052346051585</td>\n",
       "      <td>712</td>\n",
       "      <td>2017-08-05 23:46:05+00:00</td>\n",
       "      <td>10th St at Fallon St</td>\n",
       "      <td>201</td>\n",
       "      <td>2017-08-05 23:57:57+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>1585</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.797673</td>\n",
       "      <td>-122.262997</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.263 37.79767)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>201711111447202880</td>\n",
       "      <td>272</td>\n",
       "      <td>2017-11-11 14:47:20+00:00</td>\n",
       "      <td>12th St at 4th Ave</td>\n",
       "      <td>233</td>\n",
       "      <td>2017-11-11 14:51:53+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>2880</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.795812</td>\n",
       "      <td>-122.255555</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1965</td>\n",
       "      <td>Female</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.25555 37.79581)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>201804251726273755</td>\n",
       "      <td>757</td>\n",
       "      <td>2018-04-25 17:26:27+00:00</td>\n",
       "      <td>13th St at Franklin St</td>\n",
       "      <td>338</td>\n",
       "      <td>2018-04-25 17:39:05+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>3755</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.803189</td>\n",
       "      <td>-122.270579</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1982</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "      <td>POINT (-122.27058 37.80319)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20180408155601183</td>\n",
       "      <td>1105</td>\n",
       "      <td>2018-04-08 15:56:01+00:00</td>\n",
       "      <td>13th St at Franklin St</td>\n",
       "      <td>338</td>\n",
       "      <td>2018-04-08 16:14:26+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>183</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.803189</td>\n",
       "      <td>-122.270579</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1987</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>POINT (-122.27058 37.80319)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>201804191648501560</td>\n",
       "      <td>857</td>\n",
       "      <td>2018-04-19 16:48:50+00:00</td>\n",
       "      <td>13th St at Franklin St</td>\n",
       "      <td>338</td>\n",
       "      <td>2018-04-19 17:03:08+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>1560</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.803189</td>\n",
       "      <td>-122.270579</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1982</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "      <td>POINT (-122.27058 37.80319)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20170810204454839</td>\n",
       "      <td>1256</td>\n",
       "      <td>2017-08-10 20:44:54+00:00</td>\n",
       "      <td>2nd Ave at E 18th St</td>\n",
       "      <td>200</td>\n",
       "      <td>2017-08-10 21:05:50+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>839</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.800214</td>\n",
       "      <td>-122.25381</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.25381 37.80021)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20171012204438666</td>\n",
       "      <td>630</td>\n",
       "      <td>2017-10-12 20:44:38+00:00</td>\n",
       "      <td>2nd Ave at E 18th St</td>\n",
       "      <td>200</td>\n",
       "      <td>2017-10-12 20:55:09+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>666</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.800214</td>\n",
       "      <td>-122.25381</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.25381 37.80021)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>201711181823281960</td>\n",
       "      <td>353</td>\n",
       "      <td>2017-11-18 18:23:28+00:00</td>\n",
       "      <td>2nd Ave at E 18th St</td>\n",
       "      <td>200</td>\n",
       "      <td>2017-11-18 18:29:22+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>1960</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.800214</td>\n",
       "      <td>-122.25381</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1988</td>\n",
       "      <td>Male</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.25381 37.80021)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20170806183917510</td>\n",
       "      <td>298</td>\n",
       "      <td>2017-08-06 18:39:17+00:00</td>\n",
       "      <td>2nd Ave at E 18th St</td>\n",
       "      <td>200</td>\n",
       "      <td>2017-08-06 18:44:15+00:00</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>222</td>\n",
       "      <td>510</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>37.800214</td>\n",
       "      <td>-122.25381</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.24878</td>\n",
       "      <td>1969</td>\n",
       "      <td>Male</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>POINT (-122.25381 37.80021)</td>\n",
       "      <td>POINT (-122.24878 37.79271)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 21 columns</p>\n",
       "</div>[1947417 rows x 21 columns in total]"
      ],
      "text/plain": [
       "           trip_id  duration_sec                start_date  \\\n",
       " 20171215164722144           501 2017-12-15 16:47:22+00:00   \n",
       "201708052346051585           712 2017-08-05 23:46:05+00:00   \n",
       "201711111447202880           272 2017-11-11 14:47:20+00:00   \n",
       "201804251726273755           757 2018-04-25 17:26:27+00:00   \n",
       " 20180408155601183          1105 2018-04-08 15:56:01+00:00   \n",
       "201804191648501560           857 2018-04-19 16:48:50+00:00   \n",
       " 20170810204454839          1256 2017-08-10 20:44:54+00:00   \n",
       " 20171012204438666           630 2017-10-12 20:44:38+00:00   \n",
       "201711181823281960           353 2017-11-18 18:23:28+00:00   \n",
       " 20170806183917510           298 2017-08-06 18:39:17+00:00   \n",
       "\n",
       "    start_station_name  start_station_id                  end_date  \\\n",
       "  10th St at Fallon St               201 2017-12-15 16:55:44+00:00   \n",
       "  10th St at Fallon St               201 2017-08-05 23:57:57+00:00   \n",
       "    12th St at 4th Ave               233 2017-11-11 14:51:53+00:00   \n",
       "13th St at Franklin St               338 2018-04-25 17:39:05+00:00   \n",
       "13th St at Franklin St               338 2018-04-08 16:14:26+00:00   \n",
       "13th St at Franklin St               338 2018-04-19 17:03:08+00:00   \n",
       "  2nd Ave at E 18th St               200 2017-08-10 21:05:50+00:00   \n",
       "  2nd Ave at E 18th St               200 2017-10-12 20:55:09+00:00   \n",
       "  2nd Ave at E 18th St               200 2017-11-18 18:29:22+00:00   \n",
       "  2nd Ave at E 18th St               200 2017-08-06 18:44:15+00:00   \n",
       "\n",
       "     end_station_name  end_station_id  bike_number zip_code  ...  \\\n",
       "10th Ave at E 15th St             222          144     <NA>  ...   \n",
       "10th Ave at E 15th St             222         1585     <NA>  ...   \n",
       "10th Ave at E 15th St             222         2880     <NA>  ...   \n",
       "10th Ave at E 15th St             222         3755     <NA>  ...   \n",
       "10th Ave at E 15th St             222          183     <NA>  ...   \n",
       "10th Ave at E 15th St             222         1560     <NA>  ...   \n",
       "10th Ave at E 15th St             222          839     <NA>  ...   \n",
       "10th Ave at E 15th St             222          666     <NA>  ...   \n",
       "10th Ave at E 15th St             222         1960     <NA>  ...   \n",
       "10th Ave at E 15th St             222          510     <NA>  ...   \n",
       "\n",
       "c_subscription_type start_station_latitude  start_station_longitude  \\\n",
       "               <NA>              37.797673              -122.262997   \n",
       "               <NA>              37.797673              -122.262997   \n",
       "               <NA>              37.795812              -122.255555   \n",
       "               <NA>              37.803189              -122.270579   \n",
       "               <NA>              37.803189              -122.270579   \n",
       "               <NA>              37.803189              -122.270579   \n",
       "               <NA>              37.800214               -122.25381   \n",
       "               <NA>              37.800214               -122.25381   \n",
       "               <NA>              37.800214               -122.25381   \n",
       "               <NA>              37.800214               -122.25381   \n",
       "\n",
       " end_station_latitude  end_station_longitude  member_birth_year  \\\n",
       "            37.792714             -122.24878               1984   \n",
       "            37.792714             -122.24878               <NA>   \n",
       "            37.792714             -122.24878               1965   \n",
       "            37.792714             -122.24878               1982   \n",
       "            37.792714             -122.24878               1987   \n",
       "            37.792714             -122.24878               1982   \n",
       "            37.792714             -122.24878               <NA>   \n",
       "            37.792714             -122.24878               <NA>   \n",
       "            37.792714             -122.24878               1988   \n",
       "            37.792714             -122.24878               1969   \n",
       "\n",
       " member_gender bike_share_for_all_trip          start_station_geom  \\\n",
       "          Male                    <NA>   POINT (-122.263 37.79767)   \n",
       "          <NA>                    <NA>   POINT (-122.263 37.79767)   \n",
       "        Female                    <NA> POINT (-122.25555 37.79581)   \n",
       "         Other                      No POINT (-122.27058 37.80319)   \n",
       "        Female                      No POINT (-122.27058 37.80319)   \n",
       "         Other                      No POINT (-122.27058 37.80319)   \n",
       "          <NA>                    <NA> POINT (-122.25381 37.80021)   \n",
       "          <NA>                    <NA> POINT (-122.25381 37.80021)   \n",
       "          Male                    <NA> POINT (-122.25381 37.80021)   \n",
       "          Male                    <NA> POINT (-122.25381 37.80021)   \n",
       "\n",
       "           end_station_geom  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "POINT (-122.24878 37.79271)  \n",
       "...\n",
       "\n",
       "[1947417 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = bpd.read_gbq(\"bigquery-public-data.san_francisco_bikeshare.bikeshare_trips\")\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Preprocess Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only take the start_date after 2018 and the \"Subscriber\" category as input. start_date are truncated to each hour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df[\"start_date\"] >= \"2018-01-01\"]\n",
    "df = df[df[\"subscriber_type\"] == \"Subscriber\"]\n",
    "df[\"trip_hour\"] = df[\"start_date\"].dt.floor(\"h\")\n",
    "df = df[[\"trip_hour\", \"trip_id\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Group and count each hour's num of trips."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "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>trip_hour</th>\n",
       "      <th>num_trips</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01 00:00:00+00:00</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-01 01:00:00+00:00</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-01 02:00:00+00:00</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-01 03:00:00+00:00</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-01 05:00:00+00:00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-01-01 06:00:00+00:00</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-01-01 07:00:00+00:00</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-01-01 08:00:00+00:00</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-01-01 09:00:00+00:00</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-01-01 10:00:00+00:00</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 2 columns</p>\n",
       "</div>[2842 rows x 2 columns in total]"
      ],
      "text/plain": [
       "                trip_hour  num_trips\n",
       "2018-01-01 00:00:00+00:00         20\n",
       "2018-01-01 01:00:00+00:00         25\n",
       "2018-01-01 02:00:00+00:00         13\n",
       "2018-01-01 03:00:00+00:00         11\n",
       "2018-01-01 05:00:00+00:00          4\n",
       "2018-01-01 06:00:00+00:00          8\n",
       "2018-01-01 07:00:00+00:00          8\n",
       "2018-01-01 08:00:00+00:00         20\n",
       "2018-01-01 09:00:00+00:00         30\n",
       "2018-01-01 10:00:00+00:00         41\n",
       "...\n",
       "\n",
       "[2842 rows x 2 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_grouped = df.groupby(\"trip_hour\").count()\n",
    "df_grouped = df_grouped.reset_index().rename(columns={\"trip_id\": \"num_trips\"})\n",
    "df_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Make forecastings for next 1 week with DataFrames.ai.forecast API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "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>forecast_timestamp</th>\n",
       "      <th>forecast_value</th>\n",
       "      <th>confidence_level</th>\n",
       "      <th>prediction_interval_lower_bound</th>\n",
       "      <th>prediction_interval_upper_bound</th>\n",
       "      <th>ai_forecast_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-04-24 12:00:00+00:00</td>\n",
       "      <td>147.023743</td>\n",
       "      <td>0.95</td>\n",
       "      <td>98.736624</td>\n",
       "      <td>195.310862</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-04-25 00:00:00+00:00</td>\n",
       "      <td>6.955032</td>\n",
       "      <td>0.95</td>\n",
       "      <td>-6.094232</td>\n",
       "      <td>20.004297</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-04-26 05:00:00+00:00</td>\n",
       "      <td>-37.196533</td>\n",
       "      <td>0.95</td>\n",
       "      <td>-88.759566</td>\n",
       "      <td>14.366499</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-04-26 14:00:00+00:00</td>\n",
       "      <td>115.635132</td>\n",
       "      <td>0.95</td>\n",
       "      <td>30.120832</td>\n",
       "      <td>201.149432</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-04-27 02:00:00+00:00</td>\n",
       "      <td>2.516006</td>\n",
       "      <td>0.95</td>\n",
       "      <td>-69.095591</td>\n",
       "      <td>74.127604</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-04-29 03:00:00+00:00</td>\n",
       "      <td>22.503326</td>\n",
       "      <td>0.95</td>\n",
       "      <td>-38.714378</td>\n",
       "      <td>83.721031</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-04-24 04:00:00+00:00</td>\n",
       "      <td>-12.259079</td>\n",
       "      <td>0.95</td>\n",
       "      <td>-45.377262</td>\n",
       "      <td>20.859104</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-04-24 14:00:00+00:00</td>\n",
       "      <td>126.519211</td>\n",
       "      <td>0.95</td>\n",
       "      <td>96.837778</td>\n",
       "      <td>156.200644</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-04-26 11:00:00+00:00</td>\n",
       "      <td>120.90567</td>\n",
       "      <td>0.95</td>\n",
       "      <td>35.781735</td>\n",
       "      <td>206.029606</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-04-27 13:00:00+00:00</td>\n",
       "      <td>162.023026</td>\n",
       "      <td>0.95</td>\n",
       "      <td>103.946307</td>\n",
       "      <td>220.099744</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 6 columns</p>\n",
       "</div>[168 rows x 6 columns in total]"
      ],
      "text/plain": [
       "       forecast_timestamp  forecast_value  confidence_level  \\\n",
       "2018-04-24 12:00:00+00:00      147.023743              0.95   \n",
       "2018-04-25 00:00:00+00:00        6.955032              0.95   \n",
       "2018-04-26 05:00:00+00:00      -37.196533              0.95   \n",
       "2018-04-26 14:00:00+00:00      115.635132              0.95   \n",
       "2018-04-27 02:00:00+00:00        2.516006              0.95   \n",
       "2018-04-29 03:00:00+00:00       22.503326              0.95   \n",
       "2018-04-24 04:00:00+00:00      -12.259079              0.95   \n",
       "2018-04-24 14:00:00+00:00      126.519211              0.95   \n",
       "2018-04-26 11:00:00+00:00       120.90567              0.95   \n",
       "2018-04-27 13:00:00+00:00      162.023026              0.95   \n",
       "\n",
       " prediction_interval_lower_bound  prediction_interval_upper_bound  \\\n",
       "                       98.736624                       195.310862   \n",
       "                       -6.094232                        20.004297   \n",
       "                      -88.759566                        14.366499   \n",
       "                       30.120832                       201.149432   \n",
       "                      -69.095591                        74.127604   \n",
       "                      -38.714378                        83.721031   \n",
       "                      -45.377262                        20.859104   \n",
       "                       96.837778                       156.200644   \n",
       "                       35.781735                       206.029606   \n",
       "                      103.946307                       220.099744   \n",
       "\n",
       "ai_forecast_status  \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "                    \n",
       "...\n",
       "\n",
       "[168 rows x 6 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import bigframes.bigquery as bbq\n",
    "\n",
    "# Using all the data except the last week (2842-168) for training. And predict the last week (168).\n",
    "result = bbq.ai.forecast(df_grouped.head(2842-168), timestamp_col=\"trip_hour\", data_col=\"num_trips\", horizon=168) \n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Process the raw result and draw a line plot along with the training data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = result.sort_values(\"forecast_timestamp\")\n",
    "result = result[[\"forecast_timestamp\", \"forecast_value\"]]\n",
    "result = result.rename(columns={\"forecast_timestamp\": \"trip_hour\", \"forecast_value\": \"num_trips_forecast\"})\n",
    "df_all = bpd.concat([df_grouped, result])\n",
    "df_all = df_all.tail(672) # 4 weeks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot a line chart and compare with the actual result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='trip_hour'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_all = df_all.set_index(\"trip_hour\")\n",
    "df_all.plot.line(figsize=(16, 8))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv (3.10.17)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}