{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JOh9YAI5XEMk",
        "outputId": "18e7a89b-96ca-4bff-ce50-67f9a58266d6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-12-14 03:16:45--  https://github.com/00ber/ml-weather-prediction/blob/main/training/src/data/weather-data.tar.gz?raw=true\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://github.com/00ber/ml-weather-prediction/raw/main/training/src/data/weather-data.tar.gz [following]\n",
            "--2022-12-14 03:16:46--  https://github.com/00ber/ml-weather-prediction/raw/main/training/src/data/weather-data.tar.gz\n",
            "Reusing existing connection to github.com:443.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://raw.githubusercontent.com/00ber/ml-weather-prediction/main/training/src/data/weather-data.tar.gz [following]\n",
            "--2022-12-14 03:16:46--  https://raw.githubusercontent.com/00ber/ml-weather-prediction/main/training/src/data/weather-data.tar.gz\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 38169226 (36M) [application/octet-stream]\n",
            "Saving to: ‘./data/weather-data.tar.gz’\n",
            "\n",
            "./data/weather-data 100%[===================>]  36.40M  --.-KB/s    in 0.09s   \n",
            "\n",
            "2022-12-14 03:16:46 (384 MB/s) - ‘./data/weather-data.tar.gz’ saved [38169226/38169226]\n",
            "\n",
            "weather_api_cache.sqlite\n",
            "weather-raw.db\n",
            "weather-clean.db\n",
            "weather_api_cache.sqlite  weather-clean.db  weather-data.tar.gz  weather-raw.db\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (1.3.5)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (1.21.6)\n",
            "Requirement already satisfied: requests-cache in /usr/local/lib/python3.8/dist-packages (0.9.7)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas) (2022.6)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)\n",
            "Requirement already satisfied: appdirs>=1.4.4 in /usr/local/lib/python3.8/dist-packages (from requests-cache) (1.4.4)\n",
            "Requirement already satisfied: attrs>=21.2 in /usr/local/lib/python3.8/dist-packages (from requests-cache) (22.1.0)\n",
            "Requirement already satisfied: url-normalize>=1.4 in /usr/local/lib/python3.8/dist-packages (from requests-cache) (1.4.3)\n",
            "Requirement already satisfied: cattrs>=22.2 in /usr/local/lib/python3.8/dist-packages (from requests-cache) (22.2.0)\n",
            "Requirement already satisfied: requests>=2.22 in /usr/local/lib/python3.8/dist-packages (from requests-cache) (2.23.0)\n",
            "Requirement already satisfied: urllib3>=1.25.5 in /usr/local/lib/python3.8/dist-packages (from requests-cache) (1.25.11)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.8/dist-packages (from cattrs>=22.2->requests-cache) (1.0.4)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests>=2.22->requests-cache) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests>=2.22->requests-cache) (2022.9.24)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests>=2.22->requests-cache) (2.10)\n",
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "# %%capture\n",
        "!rm -rf ./data/\n",
        "!mkdir -p ./data/\n",
        "!wget -c -O ./data/weather-data.tar.gz \"https://github.com/00ber/ml-weather-prediction/blob/main/training/src/data/weather-data.tar.gz?raw=true\"\n",
        "!tar xvfz ./data/weather-data.tar.gz --directory ./data\n",
        "!ls data\n",
        "!pip install pandas numpy requests-cache\n",
        "\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "E9S8unt_XIcL"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import sqlite3\n",
        "import IPython\n",
        "import IPython.display\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import tensorflow as tf\n",
        "import requests\n",
        "import requests_cache\n",
        "from requests_cache.backends.sqlite import SQLiteCache\n",
        "import sqlite3\n",
        "import datetime\n",
        "from datetime import date, timedelta, timezone\n",
        "import time\n",
        "import pytz\n",
        "\n",
        "local_tz = pytz.timezone('America/New_York')\n",
        "\n",
        "\n",
        "mpl.rcParams['figure.figsize'] = (8, 6)\n",
        "mpl.rcParams['axes.grid'] = False\n",
        "\n",
        "# initialize cache\n",
        "requests_cache.install_cache('./data/weather_api_cache')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H_iKHPASrJWo",
        "outputId": "15523f99-4756-4d58-9faf-d5812f793c78"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "key                          247349\n",
              "class                        247349\n",
              "expire_time_gmt              247349\n",
              "obs_id                       247349\n",
              "obs_name                     247349\n",
              "valid_time_gmt               247349\n",
              "day_ind                      247349\n",
              "temp                         247318\n",
              "wx_icon                      247326\n",
              "icon_extd                    247337\n",
              "wx_phrase                    247326\n",
              "pressure_tend                 64965\n",
              "pressure_desc                 64965\n",
              "dewPt                        244841\n",
              "heat_index                   245428\n",
              "rh                           247320\n",
              "pressure                     247318\n",
              "vis                          247329\n",
              "wc                           246913\n",
              "wdir                         222524\n",
              "wdir_cardinal                247234\n",
              "gust                          29738\n",
              "wspd                         233964\n",
              "max_temp                      27730\n",
              "min_temp                      27522\n",
              "precip_total                   1075\n",
              "precip_hourly                128700\n",
              "snow_hrly                       209\n",
              "uv_desc                      174677\n",
              "feels_like                   246998\n",
              "uv_index                     247335\n",
              "qualifier                         0\n",
              "qualifier_svrty                   0\n",
              "blunt_phrase                      0\n",
              "terse_phrase                      0\n",
              "clds                         247320\n",
              "water_temp                        0\n",
              "primary_wave_period               0\n",
              "primary_wave_height               0\n",
              "primary_swell_period              0\n",
              "primary_swell_height              0\n",
              "primary_swell_direction           0\n",
              "secondary_swell_period            0\n",
              "secondary_swell_height            0\n",
              "secondary_swell_direction         0\n",
              "obs_timestamp                247349\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "#@title Exploratory Data Analysis\n",
        "\n",
        "conn = sqlite3.connect(\"./data/weather-raw.db\")\n",
        "df = pd.read_sql(\"\"\"\n",
        "SELECT *\n",
        "FROM weather_raw;\n",
        "\"\"\",\n",
        "  conn,\n",
        "  parse_dates=[\"obs_timestamp\"]\n",
        ")\n",
        "df.count()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 527
        },
        "id": "YmZLurEtzfYj",
        "outputId": "9fb5a829-75c2-4e8f-c742-377af33f0cb7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'NaN counts by column')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pylab as plt\n",
        "\n",
        "ds =  df.isna().sum().sort_values(ascending=False).to_frame()\n",
        "ds = ds.reset_index()\n",
        "ds.columns\n",
        "ds.columns = [\"Field Name\", \"NaN Counts\"]\n",
        "ax = sns.barplot(data=ds, x=\"Field Name\", y=\"NaN Counts\")\n",
        "plt.xticks(rotation=90)\n",
        "ax.set_xlabel(\"NaN counts by column\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 397
        },
        "id": "ykqO9SfV9t7x",
        "outputId": "e201d4ea-aff2-4c07-a3fe-4501d3caf922"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcbbb383cd0>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "kept_cols = [\"temp\", \"pressure\", \"wspd\", \"heat_index\", \"dewPt\", \"rh\", \"vis\", \"wc\", \"clds\", \"wdir_cardinal\"]\n",
        "df2 = df[kept_cols].head(2000)\n",
        "sns.heatmap(df2.corr(), annot = True, fmt='.2g',cmap= 'coolwarm')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "1XtcSGkxQvDU",
        "outputId": "133fcbe9-d623-43b2-ffa8-2ef96ccbde52"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Count of observations')"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "df[\"obs_time\"] = df.apply(lambda x: str(x[\"obs_timestamp\"])[-5:], axis=1)\n",
        "dfx = df.value_counts(subset=['obs_time']).to_frame()\n",
        "dfx = dfx.reset_index()\n",
        "dfx.columns = [\"obs_time\", \"counts\"]\n",
        "ax = sns.barplot(data=dfx.head(20), x=\"obs_time\", y=\"counts\")\n",
        "plt.xticks(rotation=45)\n",
        "ax.set_xlabel(\"Time of hour\")\n",
        "ax.set_ylabel(\"Count of observations\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "P35ZwtdaH5Y7"
      },
      "outputs": [],
      "source": [
        "\n",
        "# DATE_FORMAT = \"%Y-%m-%d %H:%M:%S\"\n",
        "# API_KEY = \"e1f10a1e78da46f5b10a1e78da96f525\"\n",
        "# BASE_URL = \"https://api.weather.com/v1/location/KDCA:9:US/observations/historical.json?apiKey={api_key}&units=e&startDate={start_date}&endDate={end_date}\"\n",
        "\n",
        "# # Field descriptions here\n",
        "# # https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/511371/1/LapamonpinyoEtAl_engrXiv_2021.pdf    \n",
        "# # Sample\n",
        "# # {\n",
        "# #     'key': 'KDCA', 'class': 'observation', 'expire_time_gmt': 946709460, 'obs_id': 'KDCA', 'obs_name': 'Washington/Natl', \n",
        "# #     'valid_time_gmt': 946702260, 'day_ind': 'N', 'temp': 41, 'wx_icon': 33, 'icon_extd': 3300, 'wx_phrase': 'Fair', 'pressure_tend': None,\n",
        "# #     'pressure_desc': None, 'dewPt': 34, 'heat_index': 41, 'rh': 76, 'pressure': 30.19, 'vis': 5, 'wc': 41, 'wdir': None, \n",
        "# #     'wdir_cardinal': 'CALM', 'gust': None, 'wspd': None, 'max_temp': 57, 'min_temp': 41, 'precip_total': None, \n",
        "# #     'precip_hrly': None, 'snow_hrly': None, 'uv_desc': 'Low', 'feels_like': 41, 'uv_index': 0, 'qualifier': None, 'qualifier_svrty': None,\n",
        "# #     'blunt_phrase': None, 'terse_phrase': None, 'clds': 'CLR', 'water_temp': None, 'primary_wave_period': None, 'primary_wave_height': None, \n",
        "# #     'primary_swell_period': None, 'primary_swell_height': None, 'primary_swell_direction': None, 'secondary_swell_period': None, \n",
        "# #     'secondary_swell_height': None, 'secondary_swell_direction': None\n",
        "# # }\n",
        "\n",
        "# conn = sqlite3.connect(\"./data/weather-raw.db\")\n",
        "# cur = conn.cursor()\n",
        "\n",
        "\n",
        "# def create_weather_table(cur, table_name):\n",
        "#     cur.execute(\"\"\"\n",
        "#     CREATE TABLE IF NOT EXISTS {table_name}(\n",
        "#         key, class, expire_time_gmt, obs_id, obs_name, valid_time_gmt INTEGER NOT NULL PRIMARY KEY, day_ind, temp, wx_icon, icon_extd, \n",
        "#         wx_phrase, pressure_tend, pressure_desc, dewPt, heat_index, rh, pressure, vis, wc, wdir, wdir_cardinal, \n",
        "#         gust, wspd, max_temp, min_temp, precip_total, precip_hourly, snow_hrly, uv_desc, feels_like, uv_index,\n",
        "#         qualifier, qualifier_svrty, blunt_phrase, terse_phrase, clds, water_temp, primary_wave_period, \n",
        "#         primary_wave_height, primary_swell_period, primary_swell_height, primary_swell_direction, \n",
        "#         secondary_swell_period, secondary_swell_height, secondary_swell_direction, obs_timestamp)\n",
        "#     \"\"\".format(table_name=table_name))\n",
        "\n",
        "# # Create tables for raw & cleaned data respectively (if they don't exist already)\n",
        "# create_weather_table(cur, \"weather_raw\")\n",
        "\n",
        "\n",
        "# # Get the latest date that data has been downloaded for and start downloading new data from that timestamp\n",
        "# cur.execute(\"SELECT MAX(obs_timestamp) FROM weather_raw\")\n",
        "# max_date = cur.fetchone()[0]\n",
        "# target_date = datetime.datetime.strptime(max_date, DATE_FORMAT).date() if max_date else date(2000, 1, 1)\n",
        "\n",
        "# print(f\"Starting Date: {target_date}\")  \n",
        "# print(\"--------------------------------\")\n",
        "# defaults = {\n",
        "#     'key': None,'class': None,'expire_time_gmt': None,'obs_id': None,'obs_name': None,'valid_time_gmt': None,\n",
        "#     'day_ind': None,'temp': None,'wx_icon': None,'icon_extd': None,'wx_phrase': None,'pressure_tend': None,\n",
        "#     'pressure_desc': None,'dewPt': None,'heat_index': None,'rh': None,'pressure': None,'vis': None,'wc': None,\n",
        "#     'wdir': None,'wdir_cardinal': None,'gust': None,'wspd': None,'max_temp': None,'min_temp': None,'precip_total': None,\n",
        "#     'precip_hrly': None,'snow_hrly': None,'uv_desc': None,'feels_like': None,'uv_index': None,'qualifier': None,\n",
        "#     'qualifier_svrty': None,'blunt_phrase': None,'terse_phrase': None,'clds': None,'water_temp': None,\n",
        "#     'primary_wave_period': None,'primary_wave_height': None,'primary_swell_period': None,'primary_swell_height': None,\n",
        "#     'primary_swell_direction': None,'secondary_swell_period': None,'secondary_swell_height': None,'secondary_swell_direction': None\n",
        "# }\n",
        "\n",
        "\n",
        "# INSERT_SQL = \"\"\"\n",
        "# INSERT OR IGNORE INTO weather_raw VALUES (\n",
        "#     :key, :class, :expire_time_gmt, :obs_id, :obs_name, :valid_time_gmt, :day_ind, :temp, :wx_icon, :icon_extd, :wx_phrase,\n",
        "#     :pressure_tend, :pressure_desc, :dewPt, :heat_index, :rh, :pressure, :vis, :wc, :wdir, :wdir_cardinal,\n",
        "#     :gust, :wspd, :max_temp, :min_temp, :precip_total, :precip_hrly, :snow_hrly, :uv_desc, :feels_like, :uv_index,\n",
        "#     :qualifier, :qualifier_svrty, :blunt_phrase, :terse_phrase, :clds, :water_temp, :primary_wave_period,\n",
        "#     :primary_wave_height, :primary_swell_period, :primary_swell_height, :primary_swell_direction,\n",
        "#     :secondary_swell_period, :secondary_swell_height, :secondary_swell_direction, :obs_timestamp\n",
        "# )\n",
        "# \"\"\"\n",
        "\n",
        "# def augment_data(rec):\n",
        "#     rec[\"obs_timestamp\"] = datetime.datetime.fromtimestamp(rec[\"valid_time_gmt\"]).strftime(DATE_FORMAT)\n",
        "#     return rec\n",
        "\n",
        "# today = datetime.date.today()\n",
        "# if target_date == today:\n",
        "#     print(\"Already up to date!\")\n",
        "   \n",
        "# while target_date != today:\n",
        "#     print(\"----- inside loop\")\n",
        "#     end_date = target_date + timedelta(days=1) \n",
        "#     start_date_str = target_date.strftime(\"%Y%m%d\")\n",
        "#     end_date_str = end_date.strftime(\"%Y%m%d\")\n",
        "#     target_url = BASE_URL.format(api_key=API_KEY, start_date=start_date_str, end_date=start_date_str)\n",
        "#     res = requests.get(target_url)\n",
        "#     target_date = end_date\n",
        "\n",
        "#     data = res.json()\n",
        "#     if not \"observations\" in data:\n",
        "#         print(f\"Date: {target_date} NF\", end=\"\\r\")\n",
        "#         continue\n",
        "#     params = ({k: d.get(k, defaults[k])  for k in defaults} for d in data[\"observations\"])\n",
        "#     params = list(map(augment_data, params))\n",
        "\n",
        "#     cur.executemany(INSERT_SQL, params)\n",
        "#     conn.commit()\n",
        "#     # time.sleep(0.05)\n",
        "#     # was_cached = \"Cache HIT\" if res.from_cache else \"Cache MISS\"\n",
        "#     print(f\"Date: {target_date} OK\", end=\"\\r\")\n",
        "#     target_date = end_date\n",
        "\n",
        "# conn.close()\n",
        "\n",
        "# # print(\"-------- getting data from db\")\n",
        "# # SQL_CLEANED_DATA = \"\"\"\n",
        "# #     WITH RECURSIVE generate_series(x) AS (\n",
        "# #         SELECT 0\n",
        "# #         UNION ALL\n",
        "# #         SELECT x+1 FROM generate_series LIMIT 24\n",
        "# #     ), distinct_dates AS (\n",
        "# #         SELECT DISTINCT DATE(obs_timestamp) AS obs_date\n",
        "# #         FROM weather_raw wr \n",
        "# #         WHERE obs_timestamp >= '2000-01-01'\n",
        "# #     ), hours AS (\n",
        "# #         SELECT x AS hrs FROM generate_series\n",
        "# #     )\n",
        "# #     SELECT w.temp, w.obs_timestamp, w.pressure, w.wspd\n",
        "# #     FROM weather_raw w \n",
        "# #     JOIN (\n",
        "# #         SELECT d.obs_date, COUNT(*)\n",
        "# #         FROM distinct_dates d \n",
        "# #         CROSS JOIN hours h \n",
        "# #         INNER JOIN (SELECT * FROM weather_raw WHERE STRFTIME('%M', obs_timestamp) in ('51', '52')) wr \n",
        "# #             ON DATE(STRFTIME('%Y-%m-%d', wr.obs_timestamp)) = d.obs_date \n",
        "# #             AND CAST(STRFTIME('%H', obs_timestamp) AS INTEGER) = h.hrs\n",
        "# #         GROUP BY d.obs_date\n",
        "# #         HAVING COUNT(*) = 24\n",
        "# #     ) d ON d.obs_date = STRFTIME('%Y-%m-%d', w.obs_timestamp) \n",
        "# #     WHERE STRFTIME('%M', w.obs_timestamp) in ('51', '52');\n",
        "# # \"\"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Nu2FKxKyXTGp",
        "outputId": "042e7e99-4085-4582-9427-ebb0d82a55c0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   temp  pressure  wspd  heat_index  dewPt    rh   vis    wc  wdir_degree  \\\n",
              "0  53.0     30.08   9.0        53.0   38.0  57.0  10.0  53.0        320.0   \n",
              "1  52.0     30.08   8.0        52.0   37.0  57.0  10.0  52.0        340.0   \n",
              "2  50.0     30.10   6.0        50.0   37.0  61.0  10.0  50.0        320.0   \n",
              "3  48.0     30.11   0.0        48.0   37.0  66.0  10.0  48.0          0.0   \n",
              "4  48.0     30.11   6.0        48.0   37.0  66.0  10.0  46.0        320.0   \n",
              "\n",
              "   clds_ordinal   day_sin   day_cos  year_sin  year_cos  wdir_sin  wdir_cos  \n",
              "0           3.0  0.224951  0.974370 -0.002561  0.999997 -0.428155  0.903705  \n",
              "1           3.0  0.469472  0.882948 -0.001845  0.999998  0.650311  0.759668  \n",
              "2           1.0  0.681998  0.731354 -0.001128  0.999999 -0.428155  0.903705  \n",
              "3           1.0  0.848048  0.529919 -0.000411  1.000000  0.000000  1.000000  \n",
              "4           2.0  0.956305  0.292372  0.000306  1.000000 -0.428155  0.903705  "
            ],
            "text/html": [
              "\n",
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              "      <div>\n",
              "<style scoped>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>temp</th>\n",
              "      <th>pressure</th>\n",
              "      <th>wspd</th>\n",
              "      <th>heat_index</th>\n",
              "      <th>dewPt</th>\n",
              "      <th>rh</th>\n",
              "      <th>vis</th>\n",
              "      <th>wc</th>\n",
              "      <th>wdir_degree</th>\n",
              "      <th>clds_ordinal</th>\n",
              "      <th>day_sin</th>\n",
              "      <th>day_cos</th>\n",
              "      <th>year_sin</th>\n",
              "      <th>year_cos</th>\n",
              "      <th>wdir_sin</th>\n",
              "      <th>wdir_cos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>53.0</td>\n",
              "      <td>30.08</td>\n",
              "      <td>9.0</td>\n",
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              "      <td>0.903705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>52.0</td>\n",
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              "      <td>52.0</td>\n",
              "      <td>37.0</td>\n",
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              "      <td>0.882948</td>\n",
              "      <td>-0.001845</td>\n",
              "      <td>0.999998</td>\n",
              "      <td>0.650311</td>\n",
              "      <td>0.759668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>50.0</td>\n",
              "      <td>30.10</td>\n",
              "      <td>6.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>61.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>320.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.681998</td>\n",
              "      <td>0.731354</td>\n",
              "      <td>-0.001128</td>\n",
              "      <td>0.999999</td>\n",
              "      <td>-0.428155</td>\n",
              "      <td>0.903705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>48.0</td>\n",
              "      <td>30.11</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>66.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.848048</td>\n",
              "      <td>0.529919</td>\n",
              "      <td>-0.000411</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>48.0</td>\n",
              "      <td>30.11</td>\n",
              "      <td>6.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>66.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>46.0</td>\n",
              "      <td>320.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.956305</td>\n",
              "      <td>0.292372</td>\n",
              "      <td>0.000306</td>\n",
              "      <td>1.000000</td>\n",
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          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "\n",
        "def get_NaN_counts(df):    \n",
        "    nan_counts = df.isna().sum()\n",
        "    return pd.concat([nan_counts, ((nan_counts/len(df))*100).round(2)], \n",
        "                     axis=1, \n",
        "                     keys=[\"NaN count\", \"Percentage\"])\n",
        "    \n",
        "def clds_to_ordinal(row):\n",
        "  mapping = {\n",
        "      \"SKC\": 0,\n",
        "      \"CLR\": 0,\n",
        "      \"FEW\": 1,\n",
        "      \"SCT\": 2,\n",
        "      \"BKN\": 3,\n",
        "      \"OVC\": 4,\n",
        "      \"VV\": 5\n",
        "  }\n",
        "  clds = row[\"clds\"]\n",
        "  if pd.isnull(clds):\n",
        "      return np.NaN \n",
        "  return mapping[clds]\n",
        "\n",
        "def clean_wspd(row):\n",
        "  if row[\"wdir_cardinal\"] == \"CALM\":\n",
        "    return 0\n",
        "  return row[\"wspd\"]\n",
        "\n",
        "def restrict_wspd(row):\n",
        "  if row[\"wspd\"] < 0:\n",
        "    return 0\n",
        "  return row[\"wspd\"]\n",
        "\n",
        "def restrict_rh(row):\n",
        "  if row[\"rh\"] < 0:\n",
        "    return 0\n",
        "  if row[\"rh\"] > 100:\n",
        "    return 100\n",
        "  return row[\"rh\"]\n",
        "\n",
        "def clean_wdir(row):\n",
        "  if row[\"wdir_cardinal\"] == \"CALM\":\n",
        "    return 0\n",
        "  return row[\"wdir\"]\n",
        "\n",
        "def wdir_cardinal_to_deg(row):\n",
        "    wdir = row[\"wdir\"]\n",
        "    if not pd.isnull(wdir):\n",
        "      return wdir \n",
        "    cardinal_directions = {\n",
        "        'N': 0,\n",
        "        'NNE': 22.5,\n",
        "        'NE': 45,\n",
        "        'ENE': 67.5,\n",
        "        'E': 90,\n",
        "        'ESE': 112.5,\n",
        "        'SE': 135,\n",
        "        'SSE': 157.5,\n",
        "        'S': 180,\n",
        "        'SSW': 202.5,\n",
        "        'SW': 225,\n",
        "        'WSW': 247.5,\n",
        "        'W': 270,\n",
        "        'WNW': 292.5,\n",
        "        'NW': 315,\n",
        "        'NNW': 337.5,\n",
        "        'CALM': 0,\n",
        "        'VAR': -1\n",
        "    }\n",
        "    wdir_cardinal = row[\"wdir_cardinal\"]\n",
        "   \n",
        "    return cardinal_directions[wdir_cardinal] if wdir_cardinal in cardinal_directions else np.NaN\n",
        "\n",
        "def convert_mins_to_52(row):\n",
        "  d = row[\"obs_timestamp\"]\n",
        "  if d.minute == 51:\n",
        "    d = d.replace(minute=52)\n",
        "  return d\n",
        "\n",
        "def prepare_dataframe(_df, start_timestamp, end_timestamp):\n",
        "  # _df[\"obs_timestamp\"] = _df.apply(convert_mins_to_52, axis=1)\n",
        "  # _df = _df.drop_duplicates(subset='obs_timestamp', keep=\"first\")\n",
        "  dates_df = pd.DataFrame()\n",
        "  dates_df[\"obs_timestamp\"] = pd.date_range(start_timestamp, end_timestamp, freq=\"H\")\n",
        "  _df = dates_df.merge(_df, how='left', on='obs_timestamp')\n",
        "  # _df[\"pressure\"] = _df.apply(lambda x: float(x[\"pressure\"][:-2]) if x[\"pressure\"] else x[\"pressure\"], axis=1)\n",
        "  _df = _df.astype(\n",
        "      {\n",
        "          'temp': 'float',\n",
        "          'pressure': 'float',\n",
        "          'wspd': 'float',\n",
        "          'heat_index': 'float'\n",
        "      },\n",
        "  )\n",
        "\n",
        "  _df[\"wdir_cardinal\"].fillna(method=\"bfill\", inplace=True)\n",
        "  _df[\"wdir_degree\"] = _df.apply(wdir_cardinal_to_deg, axis=1)\n",
        "  _df[\"clds_ordinal\"] = _df.apply(clds_to_ordinal, axis=1)\n",
        "  _df[\"temp\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"pressure\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"heat_index\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"wdir\"].fillna(method=\"bfill\", inplace=True)\n",
        "  _df[\"wdir\"] = _df.apply(clean_wdir, axis=1)\n",
        "  _df[\"wspd\"] = _df.apply(clean_wspd, axis=1)\n",
        "  _df[\"wspd\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"wspd\"] = _df.apply(restrict_wspd, axis=1)\n",
        "  _df[\"clds\"].fillna(method=\"bfill\", inplace=True)\n",
        "  _df[\"clds_ordinal\"].interpolate(\"linear\", inplace=True)\n",
        "  _df[\"dewPt\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"rh\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"rh\"] = _df.apply(restrict_rh, axis=1)\n",
        "  _df[\"wc\"].interpolate(\"polynomial\", order=2, inplace=True)\n",
        "  _df[\"vis\"].fillna(method=\"bfill\", inplace=True)\n",
        "  _df.drop([\"wdir\", \"wdir_cardinal\", \"clds\"], axis=1, inplace=True)\n",
        "  _df = _df.dropna()\n",
        "  _df = _df.sort_values(by=['obs_timestamp'])\n",
        "  date_time = _df.pop('obs_timestamp')\n",
        "  timestamp_s = date_time.map(pd.Timestamp.timestamp)\n",
        "  day = 24*60*60\n",
        "  year = (365.2425)*day\n",
        "  \n",
        "  _df['day_sin'] = np.sin(timestamp_s * (2 * np.pi / day))\n",
        "  _df['day_cos'] = np.cos(timestamp_s * (2 * np.pi / day))\n",
        "  _df['year_sin'] = np.sin(timestamp_s * (2 * np.pi / year))\n",
        "  _df['year_cos'] = np.cos(timestamp_s * (2 * np.pi / year))\n",
        "  _df['wdir_sin'] = np.sin(_df[\"wdir_degree\"])\n",
        "  _df['wdir_cos'] = np.cos(_df[\"wdir_degree\"])\n",
        "  \n",
        "  return _df, date_time\n",
        "\n",
        "# Field descriptions here\n",
        "# https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/511371/1/LapamonpinyoEtAl_engrXiv_2021.pdf  \n",
        "conn = sqlite3.connect(\"./data/weather-clean.db\")\n",
        "df = pd.read_sql(\"\"\"\n",
        "SELECT \n",
        "  temp, obs_timestamp, pressure, wspd, \n",
        "  heat_index, dewPt, rh, vis, wc,\n",
        "  wdir, wdir_cardinal, clds\n",
        "FROM weather_clean\n",
        "WHERE DATE(obs_timestamp) >= '2012-01-01'\n",
        "  AND DATE(obs_timestamp) < '2022-11-25'\n",
        "\"\"\",\n",
        "  conn,\n",
        "  parse_dates=[\"obs_timestamp\"]\n",
        ")\n",
        "\n",
        "# conn = sqlite3.connect(\"./data/weather-clean.db\")\n",
        "# df = pd.read_sql(\"\"\"\n",
        "# SELECT \n",
        "#   temp, obs_timestamp, pressure, wspd, \n",
        "#   heat_index, dewPt, rh, vis, wc, clds, wdir, wdir_cardinal\n",
        "# FROM weather_clean\n",
        "# WHERE DATE(obs_timestamp) >= '2012-11-24'\n",
        "#   AND DATE(obs_timestamp) < '2022-11-25'\n",
        "# \"\"\",\n",
        "#   conn,\n",
        "#   parse_dates=[\"obs_timestamp\"]\n",
        "# )\n",
        "# df = pd.read_sql(\"\"\"\n",
        "# SELECT \n",
        "#   temp, obs_timestamp, pressure, wspd, \n",
        "#   heat_index, dewPt, rh, vis, wc, clds, wdir_cardinal\n",
        "# FROM weather_raw\n",
        "# WHERE DATE(obs_timestamp) >= '2000-02-15'\n",
        "#   AND DATE(obs_timestamp) < '2000-03-09'\n",
        "# \"\"\",\n",
        "#   conn,\n",
        "#   parse_dates=[\"obs_timestamp\"]\n",
        "# )\n",
        "\n",
        "\n",
        "df, date_time = prepare_dataframe(df, \"2012-01-01 00:52:00\", \"2022-11-24 23:52:00\")\n",
        "# df, date_time = prepare_dataframe(df, \"2000-02-15 00:52:00\", \"2000-03-09 23:52:00\")\n",
        "df.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "huPRpi0gXhIB",
        "outputId": "b5b7f78f-387d-49ae-ad21-60d21136f6dd"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plot_cols = ['temp', 'pressure', 'wspd', 'heat_index']\n",
        "plot_features = df[plot_cols]\n",
        "plot_features.index = date_time\n",
        "_ = plot_features.plot(subplots=True)\n",
        "\n",
        "plot_features = df[plot_cols][:5000]\n",
        "plot_features.index = date_time[:5000]\n",
        "_ = plot_features.plot(subplots=True)\n",
        "\n",
        "plot_features = df[plot_cols][-480:]\n",
        "plot_features.index = date_time[-480:]\n",
        "_ = plot_features.plot(subplots=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 551
        },
        "id": "v71hw8dgX0cQ",
        "outputId": "07024d95-001a-4cd5-96eb-92bd71b63cd3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                count          mean         std        min        25%  \\\n",
              "temp          95544.0  5.990072e+01   17.726894   6.000000  46.000000   \n",
              "pressure      95544.0  3.004453e+01    0.213933  28.610000  29.910000   \n",
              "wspd          95544.0  8.526165e+00    5.495707   0.000000   5.000000   \n",
              "heat_index    95544.0  6.048182e+01   18.554310   6.000000  46.000000   \n",
              "dewPt         95544.0  4.606819e+01   19.121961 -15.000000  31.000000   \n",
              "rh            95544.0  6.295125e+01   19.163733   0.000000  48.000000   \n",
              "vis           95544.0  9.522174e+00    1.623332   0.000000  10.000000   \n",
              "wc            95544.0  5.823950e+01   20.103512 -11.000000  42.000000   \n",
              "wdir_degree   95544.0  1.807204e+02  114.786991  -1.000000  70.000000   \n",
              "clds_ordinal  95544.0  2.659058e+00    1.311174   0.000000   2.000000   \n",
              "day_sin       95544.0  2.331970e-15    0.707110  -0.999391  -0.694337   \n",
              "day_cos       95544.0  4.965001e-17    0.707110  -0.999391  -0.694337   \n",
              "year_sin      95544.0  2.835032e-03    0.709549  -1.000000  -0.712151   \n",
              "year_cos      95544.0 -8.603624e-03    0.704605  -1.000000  -0.712147   \n",
              "wdir_sin      95544.0 -1.296998e-02    0.689091  -0.999756  -0.801153   \n",
              "wdir_cos      95544.0  9.264241e-02    0.718619  -0.999021  -0.598460   \n",
              "\n",
              "                       50%         75%         max  \n",
              "temp          6.100000e+01   75.000000  149.633106  \n",
              "pressure      3.004000e+01   30.180000   30.860000  \n",
              "wspd          8.000000e+00   12.000000   69.244278  \n",
              "heat_index    6.100000e+01   75.000000  120.437159  \n",
              "dewPt         4.800000e+01   63.000000   99.497308  \n",
              "rh            6.300000e+01   79.000000  100.000000  \n",
              "vis           1.000000e+01   10.000000   10.000000  \n",
              "wc            6.100000e+01   75.000000  149.633106  \n",
              "wdir_degree   1.900000e+02  290.000000  360.000000  \n",
              "clds_ordinal  3.000000e+00    4.000000    4.000000  \n",
              "day_sin       5.825895e-14    0.694337    0.999391  \n",
              "day_cos      -4.996004e-16    0.694337    0.999391  \n",
              "year_sin      1.433874e-02    0.712146    1.000000  \n",
              "year_cos     -1.433874e-02    0.691727    1.000000  \n",
              "wdir_sin      0.000000e+00    0.650311    0.997799  \n",
              "wdir_cos      6.630686e-02    0.862319    1.000000  "
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              "      <th>pressure</th>\n",
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              "      <th>dewPt</th>\n",
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              "      <th>rh</th>\n",
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              "      <th>vis</th>\n",
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              "      <td>10.000000</td>\n",
              "      <td>1.000000e+01</td>\n",
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              "      <th>wc</th>\n",
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              "      <th>day_sin</th>\n",
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          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "df.describe().transpose()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
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          "height": 1000
        },
        "id": "3NK6wyK2gYWy",
        "outputId": "ebbf6ab4-3740-47a3-ab38-420749235b32"
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fcbb4e31670>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "from datetime import datetime, timedelta\n",
        "fig, ax = plt.subplots(figsize=(20, 5))\n",
        "\n",
        "def get_date_and_time(val):\n",
        "  dt = val + timedelta(minutes=8)\n",
        "  return dt.strftime(\"%Y-%m-%d %I:%M %p\")\n",
        "\n",
        "def get_date(val):\n",
        "  dt = val + timedelta(minutes=8)\n",
        "  return dt.strftime(\"%Y-%m-%d\")  \n",
        "\n",
        "xlabels = date_time.apply(get_date_and_time)\n",
        "\n",
        "xticks = xlabels[:40]\n",
        "_ = ax.plot(xticks, np.array(df['day_sin'])[:40])\n",
        "_ = ax.plot(xticks, np.array(df['day_cos'])[:40])\n",
        "ax.set_xlabel('Hour of day')\n",
        "ax.set_title('Time of day signal')\n",
        "ax.set_xticklabels(xticks, rotation = 45)\n",
        "plt.legend(labels=['sin value','cos value'])\n",
        "\n",
        "fig2, ax2 = plt.subplots(figsize=(20, 5))\n",
        "\n",
        "xlabels_yr = date_time.apply(get_date)\n",
        "xticks_yr = xlabels_yr[:15000]\n",
        "_ = ax2.plot(xticks_yr, np.array(df['year_sin'])[:15000])\n",
        "_ = ax2.plot(xticks_yr, np.array(df['year_cos'])[:15000])\n",
        "ax2.set_xlabel('Day of year')\n",
        "ax2.set_title('Day of year signal')\n",
        "ax2.set_xticklabels(xticks_yr, rotation = 45)\n",
        "ax2.set_xticks(xticks_yr[::240])\n",
        "ax2.set_xticklabels(xticks_yr[::240], rotation=45)\n",
        "plt.legend(labels=['sin value','cos value'])\n",
        "\n",
        "\n",
        "fig3, ax3 = plt.subplots(figsize=(20, 5))\n",
        "\n",
        "xticks_wdir = xlabels[:50]\n",
        "_ = ax3.plot(xticks_wdir, np.array(df['wdir_sin'])[:50])\n",
        "_ = ax3.plot(xticks_wdir, np.array(df['wdir_cos'])[:50])\n",
        "ax3.set_xlabel('Timestamp')\n",
        "ax3.set_title('Wind direction signal')\n",
        "ax3.set_xticklabels(xticks_wdir, rotation = 45)\n",
        "# ax2.set_xticks(xticks_yr[::240])\n",
        "# ax2.set_xticklabels(xticks_yr[::240], rotation=45)\n",
        "plt.legend(labels=['sin value','cos value'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "FqgmEEVYg4tZ"
      },
      "outputs": [],
      "source": [
        "# Split data\n",
        "column_indices = {name: i for i, name in enumerate(df.columns)}\n",
        "\n",
        "n = len(df)\n",
        "train_df = df[0:int(n*0.7)]\n",
        "val_df = df[int(n*0.7):int(n*0.9)]\n",
        "test_df = df[int(n*0.9):]\n",
        "\n",
        "num_features = df.shape[1]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "mXZ_VCh9q3Xa"
      },
      "outputs": [],
      "source": [
        "class WindowGenerator():\n",
        "  def __init__(self, input_width, label_width, shift,\n",
        "               train_df=train_df, val_df=val_df, test_df=test_df,\n",
        "               label_columns=\"temp\"):\n",
        "    # Store the raw data.\n",
        "    self.train_df = train_df\n",
        "    self.val_df = val_df\n",
        "    self.test_df = test_df\n",
        "\n",
        "    # Work out the label column indices.\n",
        "    self.label_columns = label_columns\n",
        "    if label_columns is not None:\n",
        "      self.label_columns_indices = {name: i for i, name in\n",
        "                                    enumerate(label_columns)}\n",
        "    self.column_indices = {name: i for i, name in\n",
        "                           enumerate(train_df.columns)}\n",
        "\n",
        "    # Work out the window parameters.\n",
        "    self.input_width = input_width\n",
        "    self.label_width = label_width\n",
        "    self.shift = shift\n",
        "\n",
        "    self.total_window_size = input_width + shift\n",
        "\n",
        "    self.input_slice = slice(0, input_width)\n",
        "    self.input_indices = np.arange(self.total_window_size)[self.input_slice]\n",
        "\n",
        "    self.label_start = self.total_window_size - self.label_width\n",
        "    self.labels_slice = slice(self.label_start, None)\n",
        "    self.label_indices = np.arange(self.total_window_size)[self.labels_slice]\n",
        "\n",
        "  def split_window(self, features):\n",
        "    inputs = features[:, self.input_slice, :]\n",
        "    labels = features[:, self.labels_slice, :]\n",
        "    if self.label_columns is not None:\n",
        "      labels = tf.stack(\n",
        "          [labels[:, :, self.column_indices[name]] for name in self.label_columns],\n",
        "          axis=-1)\n",
        "\n",
        "    # Slicing doesn't preserve static shape information, so set the shapes\n",
        "    # manually. This way the `tf.data.Datasets` are easier to inspect.\n",
        "    inputs.set_shape([None, self.input_width, None])\n",
        "    labels.set_shape([None, self.label_width, None])\n",
        "    return inputs, labels\n",
        "\n",
        "  def plot(self, model=None, plot_col='temp', max_subplots=3):\n",
        "    inputs, labels = self.example\n",
        "    plt.figure(figsize=(12, 8))\n",
        "    plot_col_index = self.column_indices[plot_col]\n",
        "    max_n = min(max_subplots, len(inputs))\n",
        "    for n in range(max_n):\n",
        "      plt.subplot(max_n, 1, n+1)\n",
        "      plt.ylabel(f'{plot_col} [normed]')\n",
        "      plt.plot(self.input_indices, inputs[n, :, plot_col_index],\n",
        "              label='Inputs', marker='.', zorder=-10)\n",
        "\n",
        "      if self.label_columns:\n",
        "        label_col_index = self.label_columns_indices.get(plot_col, None)\n",
        "      else:\n",
        "        label_col_index = plot_col_index\n",
        "\n",
        "      if label_col_index is None:\n",
        "        continue\n",
        "\n",
        "      plt.scatter(self.label_indices, labels[n, :, label_col_index],\n",
        "                  edgecolors='k', label='Labels', c='#2ca02c', s=64)\n",
        "      if model is not None:\n",
        "        predictions = model(inputs)\n",
        "        plt.scatter(self.label_indices, predictions[n, :, label_col_index],\n",
        "                    marker='X', edgecolors='k', label='Predictions',\n",
        "                    c='#ff7f0e', s=64)\n",
        "\n",
        "      if n == 0:\n",
        "        plt.legend()\n",
        "\n",
        "    plt.xlabel('Time [h]')\n",
        "\n",
        "  def make_dataset(self, data):\n",
        "    data = np.array(data, dtype=np.float32)\n",
        "    ds = tf.keras.utils.timeseries_dataset_from_array(\n",
        "        data=data,\n",
        "        targets=None,\n",
        "        sequence_length=self.total_window_size,\n",
        "        sequence_stride=1,\n",
        "        shuffle=False,\n",
        "        batch_size=32,)\n",
        "\n",
        "    ds = ds.map(self.split_window)\n",
        "\n",
        "    return ds\n",
        "\n",
        "  @property\n",
        "  def train(self):\n",
        "    return self.make_dataset(self.train_df)\n",
        "\n",
        "  @property\n",
        "  def val(self):\n",
        "    return self.make_dataset(self.val_df)\n",
        "\n",
        "  @property\n",
        "  def test(self):\n",
        "    return self.make_dataset(self.test_df)\n",
        "\n",
        "  @property\n",
        "  def example(self):\n",
        "    \"\"\"Get and cache an example batch of `inputs, labels` for plotting.\"\"\"\n",
        "    result = getattr(self, '_example', None)\n",
        "    if result is None:\n",
        "      # No example batch was found, so get one from the `.train` dataset\n",
        "      result = next(iter(self.test))\n",
        "      # And cache it for next time\n",
        "      self._example = result\n",
        "    return result\n",
        "\n",
        "  def __repr__(self):\n",
        "    return '\\n'.join([\n",
        "        f'Total window size: {self.total_window_size}',\n",
        "        f'Input indices: {self.input_indices}',\n",
        "        f'Label indices: {self.label_indices}',\n",
        "        f'Label column name(s): {self.label_columns}'])\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 538
        },
        "id": "U1k8s87cUgUe",
        "outputId": "6a6f09d6-1171-42fe-9376-a7b77dd51336"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:3678: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  self[col] = igetitem(value, i)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:3678: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  self[col] = igetitem(value, i)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:3678: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  self[col] = igetitem(value, i)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   temp  pressure      wspd  heat_index     dewPt        rh       vis  \\\n",
              "0  53.0  0.180597  0.081844   -0.388374 -0.397818 -0.290264  0.301218   \n",
              "1  52.0  0.180597 -0.096663   -0.441261 -0.449036 -0.290264  0.301218   \n",
              "2  50.0  0.273474 -0.453676   -0.547035 -0.449036 -0.082776  0.301218   \n",
              "3  48.0  0.319913 -1.524716   -0.652809 -0.449036  0.176584  0.301218   \n",
              "4  48.0  0.319913 -0.453676   -0.652809 -0.449036  0.176584  0.301218   \n",
              "\n",
              "         wc  wdir_degree  clds_ordinal   day_sin   day_cos  year_sin  \\\n",
              "0 -0.244116        320.0      0.245160  0.318017  1.378038 -0.053779   \n",
              "1 -0.292749        340.0      0.245160  0.663824  1.248748 -0.052758   \n",
              "2 -0.390014        320.0     -1.283845  0.964385  1.034363 -0.051738   \n",
              "3 -0.487279          0.0     -1.283845  1.199217  0.749494 -0.050718   \n",
              "4 -0.584545        320.0     -0.519343  1.352316  0.413554 -0.049698   \n",
              "\n",
              "   year_cos  wdir_sin  wdir_cos  \n",
              "0  1.428382 -0.595909  1.127498  \n",
              "1  1.428384  0.968098  0.926850  \n",
              "2  1.428386 -0.595909  1.127498  \n",
              "3  1.428387  0.025008  1.261639  \n",
              "4  1.428387 -0.595909  1.127498  "
            ],
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              "      <th>temp</th>\n",
              "      <th>pressure</th>\n",
              "      <th>wspd</th>\n",
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              "      <th>wc</th>\n",
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              "      <th>day_cos</th>\n",
              "      <th>year_sin</th>\n",
              "      <th>year_cos</th>\n",
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              "      <th>wdir_cos</th>\n",
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              "      <td>53.0</td>\n",
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              "      <td>1.428384</td>\n",
              "      <td>0.968098</td>\n",
              "      <td>0.926850</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>0.273474</td>\n",
              "      <td>-0.453676</td>\n",
              "      <td>-0.547035</td>\n",
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              "      <th>3</th>\n",
              "      <td>48.0</td>\n",
              "      <td>0.319913</td>\n",
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              "      <td>-0.652809</td>\n",
              "      <td>-0.449036</td>\n",
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              "      <td>0.025008</td>\n",
              "      <td>1.261639</td>\n",
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              "    <tr>\n",
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              "      <td>0.319913</td>\n",
              "      <td>-0.453676</td>\n",
              "      <td>-0.652809</td>\n",
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              "  </tbody>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a88d7cfc-5604-481c-9dfa-0c083768a78c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "cols_to_scale = [\"pressure\", \"wspd\",\"heat_index\",\"dewPt\", \"rh\",\t\"vis\", \"wc\", \"clds_ordinal\",\n",
        "             \"day_sin\", \"day_cos\", \"year_sin\", \"year_cos\", \"wdir_sin\", \"wdir_cos\"]\n",
        "\n",
        "train_df_features = train_df[cols_to_scale]\n",
        "scaler = StandardScaler().fit(train_df_features.values)\n",
        "\n",
        "train_df_features = scaler.transform(train_df_features.values)\n",
        "train_df[cols_to_scale] = train_df_features\n",
        "val_df_features = val_df[cols_to_scale]\n",
        "val_df_features = scaler.transform(val_df_features.values)\n",
        "val_df[cols_to_scale] = val_df_features\n",
        "test_df_features = test_df[cols_to_scale]\n",
        "test_df_features = scaler.transform(test_df_features.values)\n",
        "test_df[cols_to_scale] = test_df_features\n",
        "train_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "KBSoGZiUWYZf",
        "outputId": "93d47207-397a-4ee8-88bd-81ac563a93a8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       temp  pressure      wspd  heat_index     dewPt        rh       vis  \\\n",
              "66880  92.0 -0.283787 -0.275169    1.938649  1.189937 -0.808984  0.301218   \n",
              "66881  92.0 -0.330225 -0.275169    1.938649  1.189937 -0.808984  0.301218   \n",
              "66882  92.0 -0.330225  0.260351    2.044423  1.292373 -0.653368  0.301218   \n",
              "66883  92.0 -0.469541  0.081844    2.150196  1.394809 -0.445880  0.301218   \n",
              "66884  95.0 -0.515979 -0.096663    2.150196  1.241155 -0.964600  0.301218   \n",
              "\n",
              "             wc  wdir_degree  clds_ordinal   day_sin   day_cos  year_sin  \\\n",
              "66880  1.652558        170.0     -0.519343 -1.352544 -0.413391 -1.083047   \n",
              "66881  1.652558        160.0     -0.519343 -1.413478 -0.049273 -1.083749   \n",
              "66882  1.652558        120.0     -0.519343 -1.378093  0.318208 -1.084450   \n",
              "66883  1.652558        120.0     -0.519343 -1.248801  0.664009 -1.085151   \n",
              "66884  1.798456        170.0     -0.519343 -1.034413  0.964565 -1.085851   \n",
              "\n",
              "       year_cos  wdir_sin  wdir_cos  \n",
              "66880 -0.947047  0.527724  1.175264  \n",
              "66881 -0.946315  0.343222 -1.490471  \n",
              "66882 -0.945582  0.867019  1.002788  \n",
              "66883 -0.944849  0.867019  1.002788  \n",
              "66884 -0.944116  0.527724  1.175264  "
            ],
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              "      <td>-1.083749</td>\n",
              "      <td>-0.946315</td>\n",
              "      <td>0.343222</td>\n",
              "      <td>-1.490471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66882</th>\n",
              "      <td>92.0</td>\n",
              "      <td>-0.330225</td>\n",
              "      <td>0.260351</td>\n",
              "      <td>2.044423</td>\n",
              "      <td>1.292373</td>\n",
              "      <td>-0.653368</td>\n",
              "      <td>0.301218</td>\n",
              "      <td>1.652558</td>\n",
              "      <td>120.0</td>\n",
              "      <td>-0.519343</td>\n",
              "      <td>-1.378093</td>\n",
              "      <td>0.318208</td>\n",
              "      <td>-1.084450</td>\n",
              "      <td>-0.945582</td>\n",
              "      <td>0.867019</td>\n",
              "      <td>1.002788</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66883</th>\n",
              "      <td>92.0</td>\n",
              "      <td>-0.469541</td>\n",
              "      <td>0.081844</td>\n",
              "      <td>2.150196</td>\n",
              "      <td>1.394809</td>\n",
              "      <td>-0.445880</td>\n",
              "      <td>0.301218</td>\n",
              "      <td>1.652558</td>\n",
              "      <td>120.0</td>\n",
              "      <td>-0.519343</td>\n",
              "      <td>-1.248801</td>\n",
              "      <td>0.664009</td>\n",
              "      <td>-1.085151</td>\n",
              "      <td>-0.944849</td>\n",
              "      <td>0.867019</td>\n",
              "      <td>1.002788</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66884</th>\n",
              "      <td>95.0</td>\n",
              "      <td>-0.515979</td>\n",
              "      <td>-0.096663</td>\n",
              "      <td>2.150196</td>\n",
              "      <td>1.241155</td>\n",
              "      <td>-0.964600</td>\n",
              "      <td>0.301218</td>\n",
              "      <td>1.798456</td>\n",
              "      <td>170.0</td>\n",
              "      <td>-0.519343</td>\n",
              "      <td>-1.034413</td>\n",
              "      <td>0.964565</td>\n",
              "      <td>-1.085851</td>\n",
              "      <td>-0.944116</td>\n",
              "      <td>0.527724</td>\n",
              "      <td>1.175264</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dcd50742-bf10-4f2d-99db-c18fef795a7b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-dcd50742-bf10-4f2d-99db-c18fef795a7b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-dcd50742-bf10-4f2d-99db-c18fef795a7b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "val_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "1KMvCTiVtRsr"
      },
      "outputs": [],
      "source": [
        "MAX_EPOCHS = 300\n",
        "from os.path import exists\n",
        "\n",
        "def compile_and_fit(model, window, patience=5, checkpoint_path=None, \n",
        "                    epochs=MAX_EPOCHS, \n",
        "                    lossfn=tf.keras.losses.MeanAbsoluteError(), \n",
        "                    learning_rate=1e-3):\n",
        "  early_stopping = tf.keras.callbacks.EarlyStopping(monitor='val_loss',\n",
        "                                                    patience=patience,\n",
        "                                                    mode='min')\n",
        "  callbacks = [early_stopping]\n",
        "  save_path = None\n",
        "  if checkpoint_path:\n",
        "    save_path = checkpoint_path + \".h5\"\n",
        "    checkpoint = tf.keras.callbacks.ModelCheckpoint(save_path, save_freq=\"epoch\", monitor='val_loss', verbose=1, save_best_only=True, mode='min')\n",
        "    callbacks.append(checkpoint)\n",
        "\n",
        "  model.compile(\n",
        "      loss=lossfn,\n",
        "      optimizer=tf.keras.optimizers.Adam()\n",
        "  )\n",
        "\n",
        "  history = model.fit(window.train, epochs=epochs,\n",
        "                      validation_data=window.val,\n",
        "                      callbacks=callbacks)\n",
        "  return history"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 755
        },
        "id": "dtDigLWF4M3I",
        "outputId": "0f8a395c-d3d5-480f-dce8-30b4c62f4be6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Total window size: 192\n",
              "Input indices: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
              "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
              "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
              "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
              "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
              "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
              " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
              " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
              " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
              " 162 163 164 165 166 167]\n",
              "Label indices: [168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185\n",
              " 186 187 188 189 190 191]\n",
              "Label column name(s): ['temp']"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "OUT_STEPS = 24\n",
        "multi_window = WindowGenerator(\n",
        "    input_width=168, label_width=OUT_STEPS, shift=OUT_STEPS,\n",
        "    label_columns=['temp']\n",
        ")\n",
        "multi_window.plot()\n",
        "multi_window"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "id": "OjumCsCpybHu",
        "outputId": "07182314-f3bc-4a4d-c424-38f6b152e2a7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "592/592 [==============================] - 2s 2ms/step - loss: 62.1017\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "class MultiStepLastBaseline(tf.keras.Model):\n",
        "  def call(self, inputs):\n",
        "    pred = tf.tile(inputs[:, -1:, :], [1, OUT_STEPS, 1])\n",
        "    return pred\n",
        "\n",
        "last_baseline = MultiStepLastBaseline()\n",
        "last_baseline.compile(loss=tf.keras.losses.MeanAbsoluteError())\n",
        "\n",
        "multi_val_performance = {}\n",
        "multi_performance = {}\n",
        "\n",
        "multi_val_performance['Last'] = last_baseline.evaluate(multi_window.val)\n",
        "multi_performance['Last'] = last_baseline.evaluate(multi_window.test, verbose=0)\n",
        "multi_window.plot(last_baseline)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "id": "H4px0vCP4ai1",
        "outputId": "a9d559cb-c33e-403b-f564-b8e533fa576e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "592/592 [==============================] - 1s 2ms/step - loss: 62.0159\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "repeat_window = WindowGenerator(\n",
        "    input_width=168, label_width=OUT_STEPS, shift=OUT_STEPS,\n",
        "    label_columns=['temp']\n",
        ")\n",
        "\n",
        "class RepeatBaseline(tf.keras.Model):\n",
        "  def call(self, inputs):\n",
        "    input_slice = inputs[-1, -24:, :]\n",
        "    a = tf.slice(inputs,\n",
        "               begin=[0,144,0],\n",
        "               size=[-1, 24,-1])\n",
        "    return a\n",
        "\n",
        "repeat_baseline = RepeatBaseline()\n",
        "repeat_baseline.compile(loss=tf.keras.losses.MeanAbsoluteError())\n",
        "\n",
        "multi_val_performance['Repeat'] = repeat_baseline.evaluate(repeat_window.val)\n",
        "multi_performance['Repeat'] = repeat_baseline.evaluate(repeat_window.test, verbose=0)\n",
        "repeat_window.plot(repeat_baseline)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k2gpf4I44jkx",
        "outputId": "5ff9066f-c5a9-4ac0-f371-9c7f0c9e7631"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/50\n",
            "2085/2085 [==============================] - ETA: 0s - loss: 45.2640\n",
            "Epoch 1: val_loss improved from inf to 32.10857, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 30s 10ms/step - loss: 45.2640 - val_loss: 32.1086\n",
            "Epoch 2/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 22.7850\n",
            "Epoch 2: val_loss improved from 32.10857 to 16.41848, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 22.7852 - val_loss: 16.4185\n",
            "Epoch 3/50\n",
            "2081/2085 [============================>.] - ETA: 0s - loss: 12.4648\n",
            "Epoch 3: val_loss improved from 16.41848 to 10.35024, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 12.4725 - val_loss: 10.3502\n",
            "Epoch 4/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 7.4034\n",
            "Epoch 4: val_loss improved from 10.35024 to 7.94891, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 7.4041 - val_loss: 7.9489\n",
            "Epoch 5/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 5.7669\n",
            "Epoch 5: val_loss improved from 7.94891 to 7.44904, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.7639 - val_loss: 7.4490\n",
            "Epoch 6/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 5.4801\n",
            "Epoch 6: val_loss improved from 7.44904 to 5.81244, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.4769 - val_loss: 5.8124\n",
            "Epoch 7/50\n",
            "2083/2085 [============================>.] - ETA: 0s - loss: 5.3804\n",
            "Epoch 7: val_loss improved from 5.81244 to 5.61506, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.3799 - val_loss: 5.6151\n",
            "Epoch 8/50\n",
            "2081/2085 [============================>.] - ETA: 0s - loss: 5.3322\n",
            "Epoch 8: val_loss improved from 5.61506 to 5.49520, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.3301 - val_loss: 5.4952\n",
            "Epoch 9/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 5.3102\n",
            "Epoch 9: val_loss improved from 5.49520 to 5.44551, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.3071 - val_loss: 5.4455\n",
            "Epoch 10/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 5.2890\n",
            "Epoch 10: val_loss improved from 5.44551 to 5.38454, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.2890 - val_loss: 5.3845\n",
            "Epoch 11/50\n",
            "2083/2085 [============================>.] - ETA: 0s - loss: 5.2603\n",
            "Epoch 11: val_loss improved from 5.38454 to 5.28271, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.2599 - val_loss: 5.2827\n",
            "Epoch 12/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 5.2374\n",
            "Epoch 12: val_loss did not improve from 5.28271\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.2346 - val_loss: 5.2993\n",
            "Epoch 13/50\n",
            "2083/2085 [============================>.] - ETA: 0s - loss: 5.2058\n",
            "Epoch 13: val_loss improved from 5.28271 to 5.21340, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 21s 10ms/step - loss: 5.2053 - val_loss: 5.2134\n",
            "Epoch 14/50\n",
            "2082/2085 [============================>.] - ETA: 0s - loss: 5.1410\n",
            "Epoch 14: val_loss improved from 5.21340 to 5.03832, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 5.1396 - val_loss: 5.0383\n",
            "Epoch 15/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 5.0379\n",
            "Epoch 15: val_loss improved from 5.03832 to 4.93668, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 5.0347 - val_loss: 4.9367\n",
            "Epoch 16/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 4.9088\n",
            "Epoch 16: val_loss improved from 4.93668 to 4.77553, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.9055 - val_loss: 4.7755\n",
            "Epoch 17/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 4.7582\n",
            "Epoch 17: val_loss improved from 4.77553 to 4.55390, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.7548 - val_loss: 4.5539\n",
            "Epoch 18/50\n",
            "2083/2085 [============================>.] - ETA: 0s - loss: 4.5585\n",
            "Epoch 18: val_loss did not improve from 4.55390\n",
            "2085/2085 [==============================] - 18s 9ms/step - loss: 4.5577 - val_loss: 4.5589\n",
            "Epoch 19/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 4.4062\n",
            "Epoch 19: val_loss improved from 4.55390 to 4.46886, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.4027 - val_loss: 4.4689\n",
            "Epoch 20/50\n",
            "2081/2085 [============================>.] - ETA: 0s - loss: 4.2850\n",
            "Epoch 20: val_loss improved from 4.46886 to 4.37297, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.2823 - val_loss: 4.3730\n",
            "Epoch 21/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 4.2458\n",
            "Epoch 21: val_loss improved from 4.37297 to 4.29984, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.2421 - val_loss: 4.2998\n",
            "Epoch 22/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 4.1304\n",
            "Epoch 22: val_loss improved from 4.29984 to 4.24287, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.1303 - val_loss: 4.2429\n",
            "Epoch 23/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 4.0847\n",
            "Epoch 23: val_loss improved from 4.24287 to 4.18356, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.0847 - val_loss: 4.1836\n",
            "Epoch 24/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 4.0497\n",
            "Epoch 24: val_loss improved from 4.18356 to 4.13179, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 21s 10ms/step - loss: 4.0457 - val_loss: 4.1318\n",
            "Epoch 25/50\n",
            "2085/2085 [==============================] - ETA: 0s - loss: 4.0226\n",
            "Epoch 25: val_loss improved from 4.13179 to 4.06118, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 4.0226 - val_loss: 4.0612\n",
            "Epoch 26/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 4.0013\n",
            "Epoch 26: val_loss improved from 4.06118 to 4.01049, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9972 - val_loss: 4.0105\n",
            "Epoch 27/50\n",
            "2081/2085 [============================>.] - ETA: 0s - loss: 4.0144\n",
            "Epoch 27: val_loss improved from 4.01049 to 3.97560, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 4.0115 - val_loss: 3.9756\n",
            "Epoch 28/50\n",
            "2085/2085 [==============================] - ETA: 0s - loss: 3.9806\n",
            "Epoch 28: val_loss improved from 3.97560 to 3.89667, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9806 - val_loss: 3.8967\n",
            "Epoch 29/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 3.9661\n",
            "Epoch 29: val_loss improved from 3.89667 to 3.86721, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9660 - val_loss: 3.8672\n",
            "Epoch 30/50\n",
            "2081/2085 [============================>.] - ETA: 0s - loss: 3.9577\n",
            "Epoch 30: val_loss improved from 3.86721 to 3.83180, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 3.9548 - val_loss: 3.8318\n",
            "Epoch 31/50\n",
            "2083/2085 [============================>.] - ETA: 0s - loss: 3.9486\n",
            "Epoch 31: val_loss improved from 3.83180 to 3.81638, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 3.9476 - val_loss: 3.8164\n",
            "Epoch 32/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 3.9407\n",
            "Epoch 32: val_loss improved from 3.81638 to 3.81204, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 3.9407 - val_loss: 3.8120\n",
            "Epoch 33/50\n",
            "2085/2085 [==============================] - ETA: 0s - loss: 3.9411\n",
            "Epoch 33: val_loss improved from 3.81204 to 3.76572, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 3.9411 - val_loss: 3.7657\n",
            "Epoch 34/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 3.9302\n",
            "Epoch 34: val_loss did not improve from 3.76572\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9269 - val_loss: 3.7704\n",
            "Epoch 35/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 3.9191\n",
            "Epoch 35: val_loss improved from 3.76572 to 3.76086, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9149 - val_loss: 3.7609\n",
            "Epoch 36/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 3.9114\n",
            "Epoch 36: val_loss improved from 3.76086 to 3.73940, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9072 - val_loss: 3.7394\n",
            "Epoch 37/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 3.9073\n",
            "Epoch 37: val_loss improved from 3.73940 to 3.73126, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.9039 - val_loss: 3.7313\n",
            "Epoch 38/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 3.9005\n",
            "Epoch 38: val_loss improved from 3.73126 to 3.72578, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.8964 - val_loss: 3.7258\n",
            "Epoch 39/50\n",
            "2079/2085 [============================>.] - ETA: 0s - loss: 3.8950\n",
            "Epoch 39: val_loss did not improve from 3.72578\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.8909 - val_loss: 3.7264\n",
            "Epoch 40/50\n",
            "2084/2085 [============================>.] - ETA: 0s - loss: 3.8858\n",
            "Epoch 40: val_loss improved from 3.72578 to 3.71697, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 10ms/step - loss: 3.8858 - val_loss: 3.7170\n",
            "Epoch 41/50\n",
            "2085/2085 [==============================] - ETA: 0s - loss: 3.8818\n",
            "Epoch 41: val_loss improved from 3.71697 to 3.71455, saving model to /content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5\n",
            "2085/2085 [==============================] - 20s 10ms/step - loss: 3.8818 - val_loss: 3.7146\n",
            "Epoch 42/50\n",
            "2081/2085 [============================>.] - ETA: 0s - loss: 3.8851\n",
            "Epoch 42: val_loss did not improve from 3.71455\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 3.8823 - val_loss: 3.7942\n",
            "Epoch 43/50\n",
            "2083/2085 [============================>.] - ETA: 0s - loss: 3.8672\n",
            "Epoch 43: val_loss did not improve from 3.71455\n",
            "2085/2085 [==============================] - 20s 9ms/step - loss: 3.8661 - val_loss: 3.8226\n",
            "Epoch 44/50\n",
            "2080/2085 [============================>.] - ETA: 0s - loss: 3.8706\n",
            "Epoch 44: val_loss did not improve from 3.71455\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.8673 - val_loss: 3.7384\n",
            "Epoch 45/50\n",
            "2082/2085 [============================>.] - ETA: 0s - loss: 3.8699\n",
            "Epoch 45: val_loss did not improve from 3.71455\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.8681 - val_loss: 3.7254\n",
            "Epoch 46/50\n",
            "2085/2085 [==============================] - ETA: 0s - loss: 3.8598\n",
            "Epoch 46: val_loss did not improve from 3.71455\n",
            "2085/2085 [==============================] - 19s 9ms/step - loss: 3.8598 - val_loss: 3.7343\n"
          ]
        }
      ],
      "source": [
        "multi_lstm_model = tf.keras.Sequential([\n",
        "    tf.keras.layers.LSTM(12, return_sequences=False),\n",
        "    tf.keras.layers.Dense(OUT_STEPS, kernel_initializer=tf.initializers.zeros()),\n",
        "    tf.keras.layers.Reshape([OUT_STEPS, 1])\n",
        "])\n",
        "\n",
        "history = compile_and_fit(\n",
        "    multi_lstm_model, \n",
        "    multi_window, \n",
        "    checkpoint_path=\"/content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint\",\n",
        "    epochs=50,\n",
        "    lossfn=tf.keras.losses.MeanAbsoluteError(),\n",
        ")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nvFuVrAdNVTa"
      },
      "outputs": [],
      "source": [
        "## Code to Resume training from checkpoint\n",
        "# early_stopping = tf.keras.callbacks.EarlyStopping(monitor='val_loss',\n",
        "#                                                     patience=5,\n",
        "#                                                     mode='min')\n",
        "# save_path = '/content/drive/MyDrive/MSML-602-Final-Project/models/latest-checkpoint.h5'\n",
        "# checkpoint = tf.keras.callbacks.ModelCheckpoint(save_path, save_freq=\"epoch\", monitor='val_loss', verbose=1, save_best_only=True, mode='min')\n",
        "# callbacks = [early_stopping, checkpoint]\n",
        "\n",
        "\n",
        "# loaded_model = tf.keras.models.load_model(save_path)\n",
        "# _history = loaded_model.fit(multi_window.train, epochs=50,\n",
        "#                     validation_data=multi_window.val,\n",
        "#                     callbacks=callbacks,\n",
        "#                     )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "id": "JQTGK3ofHslW",
        "outputId": "407c1aa0-c6f5-40e9-90e8-df5085ce98ae"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "592/592 [==============================] - 3s 5ms/step - loss: 3.7343\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "IPython.display.clear_output()\n",
        "\n",
        "multi_val_performance['LSTM'] = multi_lstm_model.evaluate(multi_window.val)\n",
        "multi_performance['LSTM'] = multi_lstm_model.evaluate(multi_window.test, verbose=0)\n",
        "multi_window.plot(multi_lstm_model, max_subplots=5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LLWSXUSIU8Oi",
        "outputId": "1031795c-aaff-4a69-834c-99671a756533"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:absl:Found untraced functions such as lstm_cell_layer_call_fn, lstm_cell_layer_call_and_return_conditional_losses while saving (showing 2 of 2). These functions will not be directly callable after loading.\n"
          ]
        }
      ],
      "source": [
        "# Save model\n",
        "multi_lstm_model.save('/content/drive/MyDrive/MSML-602-Final-Project/models/latest-full-v2')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414
        },
        "id": "PAVg9ckp5RJn",
        "outputId": "671e1c4d-a6d2-4709-c9d8-84d9da72d0cc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'Last': 60.98268508911133, 'Repeat': 60.92747497558594, 'LSTM': 4.063677787780762}\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "\n",
        "x = np.arange(len(multi_performance))\n",
        "width = 0.3\n",
        "\n",
        "metric_name = 'mean_absolute_error'\n",
        "# metric_index = multi_lstm_model.metrics_names.index('mean_absolute_error')\n",
        "# val_mae = [v[metric_index] for v in multi_val_performance.values()]\n",
        "# test_mae = [v[metric_index] for v in multi_performance.values()]\n",
        "val_mae = [v for v in multi_val_performance.values()]\n",
        "test_mae = [v for v in multi_performance.values()]\n",
        "\n",
        "plt.bar(x - 0.17, val_mae, width, label='Validation')\n",
        "plt.bar(x + 0.17, test_mae, width, label='Test')\n",
        "plt.xticks(ticks=x, labels=multi_performance.keys(),\n",
        "           rotation=45)\n",
        "plt.ylabel(f'MAE (average over all times and outputs)')\n",
        "_ = plt.legend()\n",
        "\n",
        "print(multi_performance)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YYNZRibf9e4p",
        "outputId": "658b76d5-dbbf-40cc-dd0c-f91107719c96"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "576   2022-11-30 00:52:00\n",
              "577   2022-11-30 01:52:00\n",
              "578   2022-11-30 02:52:00\n",
              "579   2022-11-30 03:52:00\n",
              "580   2022-11-30 04:52:00\n",
              "              ...        \n",
              "739   2022-12-06 19:52:00\n",
              "740   2022-12-06 20:52:00\n",
              "741   2022-12-06 21:52:00\n",
              "742   2022-12-06 22:52:00\n",
              "743   2022-12-06 23:52:00\n",
              "Name: obs_timestamp, Length: 168, dtype: datetime64[ns]"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "conn = sqlite3.connect(\"./data/weather-clean.db\")\n",
        "predict_df = pd.read_sql(\"\"\"\n",
        "SELECT \n",
        "  temp, obs_timestamp, pressure, wspd, \n",
        "  heat_index, dewPt, rh, vis, wc,\n",
        "  wdir, wdir_cardinal, clds\n",
        "FROM weather_clean\n",
        "WHERE obs_timestamp > DATETIME('2022-12-06 23:52:00', '-7 days')\n",
        "\"\"\",\n",
        "  conn,\n",
        "  parse_dates=[\"obs_timestamp\"]\n",
        ")\n",
        "\n",
        "\n",
        "predict_df, dtime = prepare_dataframe(predict_df, \"2022-11-06 00:52:00\", \"2022-12-06 23:52:00\")\n",
        "dtime"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "paQQ70LrDr6A",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "4028b4c8-2a77-4eef-f749-15a6990d26b8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     temp  pressure      wspd  heat_index     dewPt        rh       vis  \\\n",
              "576  47.0  0.830736 -0.096663   -0.705696 -0.500254  0.176584  0.301218   \n",
              "577  46.0  0.784297 -0.453676   -0.758583 -0.500254  0.280328  0.301218   \n",
              "578  45.0  0.830736 -0.275169   -0.811469 -0.449036  0.591560  0.301218   \n",
              "579  45.0  0.737859 -0.453676   -0.811469 -0.397818  0.695304  0.301218   \n",
              "580  46.0  0.598543 -0.096663   -0.758583 -0.295382  0.850920  0.301218   \n",
              "..    ...       ...       ...         ...       ...       ...       ...   \n",
              "739  47.0  0.737859 -0.275169   -0.705696 -0.039293  1.577128 -2.704276   \n",
              "740  47.0  0.784297 -0.275169   -0.705696  0.011925  1.784616 -3.305375   \n",
              "741  48.0  0.784297 -0.275169   -0.652809  0.011925  1.577128 -2.704276   \n",
              "742  48.0  0.784297 -0.096663   -0.652809  0.011925  1.577128 -2.704276   \n",
              "743  48.0  0.784297  0.081844   -0.652809  0.063143  1.732744 -0.900979   \n",
              "\n",
              "           wc  wdir_degree  clds_ordinal   day_sin   day_cos  year_sin  \\\n",
              "576 -0.730443        160.0      0.245160  0.318017  1.378038 -0.790918   \n",
              "577 -0.730443        150.0      0.245160  0.663824  1.248748 -0.790046   \n",
              "578 -0.827708        190.0      0.245160  0.964385  1.034363 -0.789175   \n",
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              "742 -0.681810        180.0      1.009662 -0.413594  1.352490 -0.641391   \n",
              "743 -0.681810        180.0      1.009662 -0.049470  1.413422 -0.640463   \n",
              "\n",
              "     year_cos  wdir_sin  wdir_cos  \n",
              "576  1.222822  0.343222 -1.490471  \n",
              "577  1.223346 -1.011716  0.842687  \n",
              "578  1.223870  1.472031 -0.039023  \n",
              "579  1.224394 -1.136835 -0.965063  \n",
              "580  1.224916 -1.136835 -0.965063  \n",
              "..        ...       ...       ...  \n",
              "739  1.299995 -1.136835 -0.965063  \n",
              "740  1.300415 -1.136835 -0.965063  \n",
              "741  1.300835 -1.136835 -0.965063  \n",
              "742  1.301255 -1.136835 -0.965063  \n",
              "743  1.301673 -1.136835 -0.965063  \n",
              "\n",
              "[168 rows x 16 columns]"
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              "      <td>0.011925</td>\n",
              "      <td>1.577128</td>\n",
              "      <td>-2.704276</td>\n",
              "      <td>-0.633177</td>\n",
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              "      <th>742</th>\n",
              "      <td>48.0</td>\n",
              "      <td>0.784297</td>\n",
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              "      <td>-0.652809</td>\n",
              "      <td>0.011925</td>\n",
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              "      <td>-0.681810</td>\n",
              "      <td>180.0</td>\n",
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              "      <td>-0.681810</td>\n",
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              "      <td>-0.049470</td>\n",
              "      <td>1.413422</td>\n",
              "      <td>-0.640463</td>\n",
              "      <td>1.301673</td>\n",
              "      <td>-1.136835</td>\n",
              "      <td>-0.965063</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "predict_df_features = predict_df[cols_to_scale]\n",
        "predict_df_features = scaler.transform(predict_df_features.values)\n",
        "predict_df[cols_to_scale] = predict_df_features\n",
        "predict_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "r09HZjabEWEQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "76ab1dc9-73f0-451b-aab9-57536acaf900"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(None, 168, 16)"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "multi_lstm_model.input_shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "mp1TCLD2EbQd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "43e58f9c-8937-42d7-ee44-06a239abcb40"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(None, 24, 1)"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "multi_lstm_model.output_shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "OjlcZF1dV9zn",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "884a9435-97f1-4bf7-c110-895beb8c8ad9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(1, 24, 1), dtype=float32, numpy=\n",
              "array([[[50.56905 ],\n",
              "        [49.71711 ],\n",
              "        [48.851936],\n",
              "        [48.09685 ],\n",
              "        [47.454166],\n",
              "        [47.103348],\n",
              "        [46.94274 ],\n",
              "        [47.055454],\n",
              "        [47.360664],\n",
              "        [47.958668],\n",
              "        [48.661747],\n",
              "        [49.47821 ],\n",
              "        [50.41795 ],\n",
              "        [51.497894],\n",
              "        [52.599434],\n",
              "        [53.645515],\n",
              "        [54.513523],\n",
              "        [55.051838],\n",
              "        [55.343483],\n",
              "        [55.2045  ],\n",
              "        [54.770206],\n",
              "        [54.091217],\n",
              "        [53.263943],\n",
              "        [52.350563]]], dtype=float32)>"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ],
      "source": [
        "\n",
        "predictions = multi_lstm_model(predict_df.to_numpy().reshape(1, 168, 16))\n",
        "predictions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "l9aKAF1rnNHu"
      },
      "outputs": [],
      "source": [
        "# Code to save scaler\n",
        "import pickle\n",
        "pickle.dump(scaler, open('/content/drive/MyDrive/MSML-602-Final-Project/models/scaler-v2.pkl','wb'))\n",
        "\n",
        "# Code to load scaler\n",
        "# scaler = pickle.load(open('file/path/scaler.pkl','rb'))"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "premium",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}