curah_hujan_predict_v1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7e8c581e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings \n",
    "warnings.filterwarnings('ignore')\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "from datetime import timedelta\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c2b4928a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# read excel file\n",
    "# df_asli = pd.read_excel('./data/kemayoran 2000-2022.xlsx')\n",
    "df_asli = pd.read_excel('./data/kemayoran bulanan.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e86f8cf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ubah tipe data RR ke float\n",
    "df_asli['RR'] = df_asli['RR'].replace(',','.', regex=True).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "36551035",
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>RR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01</td>\n",
       "      <td>163.8</td>\n",
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       "      <th>1</th>\n",
       "      <td>2016-02</td>\n",
       "      <td>516.5</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-03</td>\n",
       "      <td>350.1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-04</td>\n",
       "      <td>204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05</td>\n",
       "      <td>156.3</td>\n",
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       "      <td>2021-08</td>\n",
       "      <td>79.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021-09</td>\n",
       "      <td>113.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2021-10</td>\n",
       "      <td>182.1</td>\n",
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       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2021-11</td>\n",
       "      <td>134.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-12</td>\n",
       "      <td>171.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Tanggal     RR\n",
       "0   2016-01  163.8\n",
       "1   2016-02  516.5\n",
       "2   2016-03  350.1\n",
       "3   2016-04  204.0\n",
       "4   2016-05  156.3\n",
       "..      ...    ...\n",
       "67  2021-08   79.7\n",
       "68  2021-09  113.4\n",
       "69  2021-10  182.1\n",
       "70  2021-11  134.1\n",
       "71  2021-12  171.6\n",
       "\n",
       "[72 rows x 2 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_asli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "17d33874",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1043.2"
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# max value RR Data Asli\n",
    "max_value = df_asli['RR']\n",
    "max_value.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b39f9766",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 72 entries, 0 to 71\n",
      "Data columns (total 2 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   Tanggal  72 non-null     object \n",
      " 1   RR       72 non-null     float64\n",
      "dtypes: float64(1), object(1)\n",
      "memory usage: 1.2+ KB\n"
     ]
    }
   ],
   "source": [
    "# menyalin data asli ke data training\n",
    "pd_train = df_asli\n",
    "pd_train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "aacf1e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Tanggal    0\n",
       "RR         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check nilai null\n",
    "# jumlah null value train\n",
    "pd_train.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7a7c2b38",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>RR</th>\n",
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       "      <td>350.1</td>\n",
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       "      <th>3</th>\n",
       "      <td>2016-04</td>\n",
       "      <td>204.0</td>\n",
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       "      <th>4</th>\n",
       "      <td>2016-05</td>\n",
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       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021-09</td>\n",
       "      <td>113.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2021-10</td>\n",
       "      <td>182.1</td>\n",
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       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2021-11</td>\n",
       "      <td>134.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-12</td>\n",
       "      <td>171.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Tanggal     RR\n",
       "0   2016-01  163.8\n",
       "1   2016-02  516.5\n",
       "2   2016-03  350.1\n",
       "3   2016-04  204.0\n",
       "4   2016-05  156.3\n",
       "..      ...    ...\n",
       "67  2021-08   79.7\n",
       "68  2021-09  113.4\n",
       "69  2021-10  182.1\n",
       "70  2021-11  134.1\n",
       "71  2021-12  171.6\n",
       "\n",
       "[72 rows x 2 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a38298b4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 72 entries, 0 to 71\n",
      "Data columns (total 2 columns):\n",
      " #   Column   Non-Null Count  Dtype         \n",
      "---  ------   --------------  -----         \n",
      " 0   Tanggal  72 non-null     datetime64[ns]\n",
      " 1   RR       72 non-null     float64       \n",
      "dtypes: datetime64[ns](1), float64(1)\n",
      "memory usage: 1.2 KB\n"
     ]
    }
   ],
   "source": [
    "# mengubah format tanggal dari object ke datetime\n",
    "pd_train['Tanggal'] = pd.to_datetime(pd_train['Tanggal'], format=\"%Y-%m\")\n",
    "pd_train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "97a1ce18",
   "metadata": {},
   "outputs": [],
   "source": [
    "# cek NaN di df baru\n",
    "nan_checker = pd_train.isnull().sum()\n",
    "if nan_checker['RR'] == 0:\n",
    "    # replace NaN ke 0\n",
    "    df_predict_clean = pd_train.fillna(0)\n",
    "else:\n",
    "    df_predict_clean = pd_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d78a5367",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>RR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>516.5</td>\n",
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       "      <th>2</th>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>350.1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>204.0</td>\n",
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       "      <th>4</th>\n",
       "      <td>2016-05-01</td>\n",
       "      <td>156.3</td>\n",
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      "text/plain": [
       "     Tanggal     RR\n",
       "0 2016-01-01  163.8\n",
       "1 2016-02-01  516.5\n",
       "2 2016-03-01  350.1\n",
       "3 2016-04-01  204.0\n",
       "4 2016-05-01  156.3"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_predict_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "607863d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# replace abnormal value > 100\n",
    "# cond_1 = df_predict_clean.loc[df_predict_clean['RR'] > 100, 'RR']\n",
    "# cari maksimal value dalam dataframe df_predict_clean, selain diatas 500 (sudah abnormal)\n",
    "# cond_1.loc[cond_1 < 500].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f5fb444c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# mengganti abnormal value ke 277.5 di df_predict_clean\n",
    "# df_predict_clean.loc[df_predict_clean['RR'] > 500, 'RR'] = 277.5\n",
    "# df_predict_clean['RR'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d3afafe9",
   "metadata": {
    "scrolled": false
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>RR</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-02-01</td>\n",
       "      <td>516.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>350.1</td>\n",
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       "      <th>3</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>204.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05-01</td>\n",
       "      <td>156.3</td>\n",
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      "text/plain": [
       "     Tanggal     RR\n",
       "0 2016-01-01  163.8\n",
       "1 2016-02-01  516.5\n",
       "2 2016-03-01  350.1\n",
       "3 2016-04-01  204.0\n",
       "4 2016-05-01  156.3"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pindah data clean ke train_df Dataframe\n",
    "train_df = df_predict_clean\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "8cf93204",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.dates as mdates\n",
    "\n",
    "years = mdates.YearLocator()   # every year\n",
    "months = mdates.MonthLocator()  # every month\n",
    "years_fmt = mdates.DateFormatter('%Y-%m') #This is a format. Will be clear in Screenshot\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "# locator = mdates.MonthLocator()\n",
    "# ax.xaxis.set_minor_locator(locator)\n",
    "# ax.xaxis.set_minor_formatter(mdates.ConciseDateFormatter('\\n%s'%(locator)))\n",
    "\n",
    "ax.xaxis.set_major_locator(months)\n",
    "ax.xaxis.set_major_formatter(years_fmt)\n",
    "ax.xaxis.set_minor_locator(months)\n",
    "\n",
    "sns.set(rc={'figure.figsize':(16,8)})\n",
    "sns.lineplot(x=\"Tanggal\", y=\"RR\",legend='full' ,data=train_df, marker = 'o', label='Data Curah Hujan Bulanan')\n",
    "\n",
    "plt.xticks(rotation = 'vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "79de6695",
   "metadata": {},
   "outputs": [],
   "source": [
    "# apply mean # hapus dulu nanti\n",
    "train_df['Average'] = train_df['RR'].rolling(window=6, center=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d50a0d3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>RR</th>\n",
       "      <th>Average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>244.1</td>\n",
       "      <td>288.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>213.9</td>\n",
       "      <td>279.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2021-05-01</td>\n",
       "      <td>203.6</td>\n",
       "      <td>230.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2021-06-01</td>\n",
       "      <td>79.1</td>\n",
       "      <td>142.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>35.8</td>\n",
       "      <td>120.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>79.7</td>\n",
       "      <td>115.616667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>113.4</td>\n",
       "      <td>104.033333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>182.1</td>\n",
       "      <td>119.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2021-11-01</td>\n",
       "      <td>134.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-12-01</td>\n",
       "      <td>171.6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Tanggal     RR     Average\n",
       "62 2021-03-01  244.1  288.916667\n",
       "63 2021-04-01  213.9  279.650000\n",
       "64 2021-05-01  203.6  230.150000\n",
       "65 2021-06-01   79.1  142.700000\n",
       "66 2021-07-01   35.8  120.916667\n",
       "67 2021-08-01   79.7  115.616667\n",
       "68 2021-09-01  113.4  104.033333\n",
       "69 2021-10-01  182.1  119.450000\n",
       "70 2021-11-01  134.1         NaN\n",
       "71 2021-12-01  171.6         NaN"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "733d6f2e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Curah Hujan Asli vs Uji Coba 2021')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.loc['2021-01-01':].plot(figsize=(10,5), grid=True)\n",
    "plt.title('Curah Hujan Asli vs Uji Coba 2021')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ca0cc5f",
   "metadata": {},
   "source": [
    "# Identifikasi Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5bd93c81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RR</th>\n",
       "      <th>Average</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tanggal</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>163.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-01</th>\n",
       "      <td>516.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-01</th>\n",
       "      <td>350.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-01</th>\n",
       "      <td>204.0</td>\n",
       "      <td>265.466667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-01</th>\n",
       "      <td>156.3</td>\n",
       "      <td>281.383333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               RR     Average\n",
       "Tanggal                      \n",
       "2016-01-01  163.8         NaN\n",
       "2016-02-01  516.5         NaN\n",
       "2016-03-01  350.1         NaN\n",
       "2016-04-01  204.0  265.466667\n",
       "2016-05-01  156.3  281.383333"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set_index df_rain_20\n",
    "train_df = train_df.set_index('Tanggal')\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "882660c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mencari sesaonal pada data\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "result = seasonal_decompose(train_df['RR'], model='additive',period=6)\n",
    "\n",
    "fig = plt.figure()\n",
    "fig = result.plot()\n",
    "fig.set_size_inches(20,10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51839623",
   "metadata": {},
   "source": [
    "# Analisis Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f9d7fa03",
   "metadata": {},
   "outputs": [],
   "source": [
    "#uji augmented dickey fuller, menemukan mean standar deviasi\n",
    "# data tahun 2020 keatas\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "\n",
    "def test_stationarity(timeseries, window = 15, cutoff = 0.01):\n",
    "    rolmean = timeseries.rolling(window).mean()\n",
    "    rolstd = timeseries.rolling(window).std()\n",
    "    fig = plt.figure(figsize=(12, 8))\n",
    "    orig = plt.plot(timeseries, color='cyan', label='Original')\n",
    "    mean = plt.plot(rolmean, color='red', label='Rolling Mean')\n",
    "    std = plt.plot(rolstd, color='green', label='Rolling Std')\n",
    "    plt.legend(loc='best')\n",
    "    plt.title('Rolling Mean and Standard Deviation')\n",
    "    plt.show\n",
    "    \n",
    "    print('Results of Dickey-Fuller Test: ')\n",
    "    dftest = adfuller(timeseries, autolag='AIC')\n",
    "    dfoutput = pd.Series(dftest[0:4], index=['Test Statistik','p-value',\n",
    "                                             '#Lags used','Number of Observation Used'])\n",
    "    for key, value in dftest[4].items():\n",
    "        dfoutput['Critical value (%s)' % key] = value\n",
    "    \n",
    "    pvalue = dftest[1]\n",
    "    if pvalue < cutoff:\n",
    "        print('p-value = %.4f. The series is likely stationary.' % pvalue)\n",
    "    else:\n",
    "        print('p-value = %.4f. The series is likely not-stationary.' % pvalue)\n",
    "    \n",
    "    print(dfoutput)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7c21b64",
   "metadata": {},
   "source": [
    "### Lakukan differencing jika data tidak stasioner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "15b069bc",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results of Dickey-Fuller Test: \n",
      "p-value = 0.3573. The series is likely not-stationary.\n",
      "Test Statistik                -1.847123\n",
      "p-value                        0.357330\n",
      "#Lags used                    11.000000\n",
      "Number of Observation Used    60.000000\n",
      "Critical value (1%)           -3.544369\n",
      "Critical value (5%)           -2.911073\n",
      "Critical value (10%)          -2.593190\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_stationarity(train_df['RR'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "384f7c95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results of Dickey-Fuller Test: \n",
      "p-value = 0.0000. The series is likely stationary.\n",
      "Test Statistik               -8.871448e+00\n",
      "p-value                       1.394419e-14\n",
      "#Lags used                    7.000000e+00\n",
      "Number of Observation Used    6.000000e+01\n",
      "Critical value (1%)          -3.544369e+00\n",
      "Critical value (5%)          -2.911073e+00\n",
      "Critical value (10%)         -2.593190e+00\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# differencing\n",
    "\n",
    "first_diff = train_df.RR - train_df.RR.shift(4)\n",
    "first_diff = first_diff.dropna(inplace = False)\n",
    "test_stationarity(first_diff, window = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0a64f696",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sebelum diferencing\n",
    "import statsmodels.api as sm\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax1 = fig.add_subplot(211)\n",
    "fig = sm.graphics.tsa.plot_acf(train_df.RR, ax=ax1)\n",
    "ax2 = fig.add_subplot(212)\n",
    "fig = sm.graphics.tsa.plot_pacf(train_df.RR, ax=ax2, method='ywm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7f941032",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# setelah diferencing\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax1 = fig.add_subplot(211)\n",
    "fig = sm.graphics.tsa.plot_acf(first_diff, ax=ax1)\n",
    "ax2 = fig.add_subplot(212)\n",
    "fig = sm.graphics.tsa.plot_pacf(first_diff, ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8c633163",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                     RR   No. Observations:                   72\n",
      "Model:              SARIMAX(14, 1, 0)   Log Likelihood                -445.274\n",
      "Date:                Fri, 24 Jun 2022   AIC                            920.549\n",
      "Time:                        20:05:36   BIC                            954.489\n",
      "Sample:                    01-01-2016   HQIC                           934.046\n",
      "                         - 12-01-2021                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "ar.L1         -0.5605      0.122     -4.603      0.000      -0.799      -0.322\n",
      "ar.L2         -0.5895      0.140     -4.217      0.000      -0.863      -0.316\n",
      "ar.L3         -0.7093      0.185     -3.824      0.000      -1.073      -0.346\n",
      "ar.L4         -0.7796      0.240     -3.254      0.001      -1.249      -0.310\n",
      "ar.L5         -0.7497      0.248     -3.025      0.002      -1.235      -0.264\n",
      "ar.L6         -0.7884      0.301     -2.622      0.009      -1.378      -0.199\n",
      "ar.L7         -0.7290      0.243     -2.998      0.003      -1.206      -0.252\n",
      "ar.L8         -0.6954      0.239     -2.905      0.004      -1.165      -0.226\n",
      "ar.L9         -0.6927      0.243     -2.849      0.004      -1.169      -0.216\n",
      "ar.L10        -0.6826      0.234     -2.911      0.004      -1.142      -0.223\n",
      "ar.L11        -0.5369      0.241     -2.227      0.026      -1.010      -0.064\n",
      "ar.L12        -0.1034      0.232     -0.446      0.656      -0.558       0.351\n",
      "ar.L13        -0.1214      0.220     -0.551      0.581      -0.553       0.310\n",
      "ar.L14        -0.2694      0.174     -1.551      0.121      -0.610       0.071\n",
      "sigma2      1.521e+04   2947.764      5.159      0.000    9429.219     2.1e+04\n",
      "===================================================================================\n",
      "Ljung-Box (L1) (Q):                   0.13   Jarque-Bera (JB):               128.43\n",
      "Prob(Q):                              0.72   Prob(JB):                         0.00\n",
      "Heteroskedasticity (H):               2.52   Skew:                             1.51\n",
      "Prob(H) (two-sided):                  0.03   Kurtosis:                         8.86\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ry/anaconda3/lib/python3.9/site-packages/statsmodels/tsa/base/tsa_model.py:471: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n",
      "  self._init_dates(dates, freq)\n",
      "/home/ry/anaconda3/lib/python3.9/site-packages/statsmodels/tsa/base/tsa_model.py:471: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n",
      "  self._init_dates(dates, freq)\n"
     ]
    }
   ],
   "source": [
    "# we can see a recurring correlation exists in both ACF and PACF hece we should choose SARIMAX model which also deals with seasonality\n",
    "\n",
    "#RULE : A model with no orders of differencing assumes that the original series is stationary (mean-reverting). A model with one order of differencing assumes that \n",
    "      #the original series has a constant average trend (e.g. a random walk or SES-type model, with or without growth). A model with two orders of total differencing assumes that \n",
    "      #the original series has a time-varying trend \n",
    "\n",
    "#Since our series has a contant average trend ( with growth ) we would take I = 1 and MA = 0 ( I-1 ).\n",
    "\n",
    "\n",
    "sarimax_mod = sm.tsa.statespace.SARIMAX(train_df.RR, trend='n', order=(14,1,0)).fit(disp=0)\n",
    "print(sarimax_mod.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2b71bd77",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NormaltestResult(statistic=33.56431322897642, pvalue=5.1475667611624704e-08)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import scipy.stats as stats\n",
    "\n",
    "resid = sarimax_mod.resid #gives residual degree of freedom (mu, sigma, pvalue ... )\n",
    "print(stats.normaltest(resid))\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax0 = fig.add_subplot(111)\n",
    "\n",
    "sns.distplot(resid ,fit = stats.norm, ax = ax0) # need to import scipy.stats\n",
    "\n",
    "# Get the fitted parameters used by the function\n",
    "(mu, sigma) = stats.norm.fit(resid)\n",
    "\n",
    "#Now plot the distribution using \n",
    "plt.legend(['Normal dist. ($\\mu=$ {:.2f} and $\\sigma=$ {:.2f} )'.format(mu, sigma)], loc='best')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Residual distribution')\n",
    "\n",
    "\n",
    "# ACF and PACF\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax1 = fig.add_subplot(211)\n",
    "fig = sm.graphics.tsa.plot_acf(sarimax_mod.resid, ax=ax1)\n",
    "ax2 = fig.add_subplot(212)\n",
    "fig = sm.graphics.tsa.plot_pacf(sarimax_mod.resid, ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba950a4e",
   "metadata": {},
   "source": [
    "# Forecast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7c896ca4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2021-12-01 00:00:00')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# today = datetime.date.today() - timedelta(days=1)\n",
    "# dimulai dari 1 januari 20\n",
    "start_index = '2016-01-01'\n",
    "start_index = pd.to_datetime(start_index, format=\"%Y-%m-%d\")\n",
    "# end_index = today.strftime(\"%Y-%m-%d\")\n",
    "end_index = '2021-12-01'\n",
    "end_index = pd.to_datetime(end_index, format=\"%Y-%m-%d\")\n",
    "end_index"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "362e9a2e",
   "metadata": {},
   "source": [
    "## Uji Coba Tahun 2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2d9b8d78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Perbandingan Curah Hujan Uji Coba dan Asli tahun 2021')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# menambahkan kolom prediksi pada dataframe dan membandingkan dengan data asli\n",
    "# biru - asli\n",
    "# orange - prediksi\n",
    "# tahun 2021\n",
    "train_df['forecast'] = sarimax_mod.predict(start= start_index,end = end_index,dynamic= False) \n",
    "train_df[start_index:][['RR', 'forecast']].loc['2021-01-01':].plot(figsize=(12, 8))\n",
    "plt.title('Perbandingan Curah Hujan Uji Coba dan Asli tahun 2021')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1911dda3",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Forecast Errors: [-163.8, -353.3346945388505, 118.76105292627847, 104.0020495819191, 51.77009638843606, -22.546246349623317, -30.801241458843066, 1.4088517190187133, 3.6066256455139865, 109.85308448109822, -55.79335714435959, 126.51169864566694, -45.61573206720624, -140.7638098868423, 257.41431860850435, -42.65818360524128, 46.4758610021118, 73.34793420289193, 102.48800531522213, 161.89893033134052, -20.554647826765404, 81.59328321329741, -24.131127790203692, -77.77788886068697, 50.40860497727695, -69.15520346540762, -2.6805575853323944, -47.75938364771994, 189.92098774029074, 37.3571488365793, 57.24769408331251, 10.60177634410919, 86.81739126822283, -4.342329245607232, 37.11244912737331, 172.1471320383568, -229.82121592956474, 99.39505191169314, -91.37766761782737, -42.957277998870126, 69.3889529050751, -4.179901799412271, 15.913331100069586, 31.72849523522518, 69.43767125963075, 108.9642960630291, 41.388787397084634, -160.0805631330587, -344.56036370883976, -561.7963613936669, 306.0749349580706, -67.42161930098086, -99.21427937441678, -21.972668776825167, 25.0527792258969, -89.38097377260985, -24.179992552814866, -92.57938376376775, 73.78991102677448, 106.22786157098369, 136.53546427282703, -36.67361157078403, 69.08405338305673, -51.6426141296802, 76.06808027028015, -6.790979760321051, 29.890337321984873, -18.99882340150556, 40.36690809184418, -20.95593223926201, 9.411512201495526, 2.302666589390043]\n"
     ]
    }
   ],
   "source": [
    "# cek selisih error\n",
    "forecast_errors = [train_df['forecast'][i]-train_df['RR'][i] for i in range(len(train_df))]\n",
    "print('Forecast Errors: %s' % forecast_errors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3ce595f0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 86.9175653466407\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "mae = mean_absolute_error(train_df['forecast'],train_df['RR'])\n",
    "print('MAE:', mae)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "889d41a8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAPE: 1.024568915226788e+16\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_percentage_error\n",
    "mape = mean_absolute_percentage_error(train_df['forecast'], train_df['RR'])\n",
    "print('MAPE:', mape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "17c4505b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 16472.215585059927\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "rmse = mean_squared_error(train_df['forecast'], train_df['RR'])\n",
    "print('RMSE:', rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "126e5114",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2022-01-01    330.415419\n",
       "2022-02-01    414.367309\n",
       "2022-03-01    264.933301\n",
       "2022-04-01    178.229649\n",
       "2022-05-01    235.570535\n",
       "2022-06-01    125.877201\n",
       "2022-07-01     77.663905\n",
       "2022-08-01    102.786395\n",
       "2022-09-01    134.159870\n",
       "2022-10-01    164.552634\n",
       "2022-11-01    153.784578\n",
       "2022-12-01    185.554236\n",
       "2023-01-01    296.289976\n",
       "2023-02-01    329.181929\n",
       "2023-03-01    244.884025\n",
       "2023-04-01    195.164285\n",
       "2023-05-01    223.030238\n",
       "2023-06-01    164.269990\n",
       "2023-07-01    101.028194\n",
       "2023-08-01    127.237413\n",
       "2023-09-01    148.255790\n",
       "2023-10-01    162.253086\n",
       "2023-11-01    163.217226\n",
       "2023-12-01    193.397000\n",
       "Freq: MS, Name: predicted_mean, dtype: float64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future_predict = sarimax_mod.predict(start= '2022-1-01' ,end = end_index+timedelta(days=720) ,dynamic= True,)\n",
    "future_predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "8909c032",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# figg = plt.figure(figsize=(12, 8))\n",
    "fig_1, ax = plt.subplots()\n",
    "\n",
    "orig = plt.plot(train_df['RR'].loc['2022-1':], color='blue',label='Original',marker = 'o')\n",
    "fore = plt.plot(future_predict, color='red', label='Forecast',marker = 'o')\n",
    "plt.legend(loc='best')\n",
    "plt.title('Prediksi curah hujan tahun 2022-2023')\n",
    "\n",
    "years = mdates.YearLocator()   # every year\n",
    "months = mdates.MonthLocator()  # every month\n",
    "years_fmt = mdates.DateFormatter('%b-%Y') #This is a format. Will be clear in Screenshot\n",
    "\n",
    "ax.xaxis.set_major_locator(months)\n",
    "ax.xaxis.set_major_formatter(years_fmt)\n",
    "ax.xaxis.set_minor_locator(months)\n",
    "\n",
    "plt.xticks(rotation = 'vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "2d82bf1c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2022-01-01', '2022-02-01', '2022-03-01', '2022-04-01',\n",
       "               '2022-05-01', '2022-06-01', '2022-07-01', '2022-08-01',\n",
       "               '2022-09-01', '2022-10-01', '2022-11-01', '2022-12-01',\n",
       "               '2023-01-01', '2023-02-01', '2023-03-01', '2023-04-01',\n",
       "               '2023-05-01', '2023-06-01', '2023-07-01', '2023-08-01',\n",
       "               '2023-09-01', '2023-10-01', '2023-11-01', '2023-12-01'],\n",
       "              dtype='datetime64[ns]', freq='MS')"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future_predict.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "1ff2ca2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "f_temp = pd.DataFrame()\n",
    "f_temp['date'] = future_predict.index\n",
    "f_temp['values'] = future_predict.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "69bd534a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>330.415419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-01</td>\n",
       "      <td>414.367309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>264.933301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>178.229649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>235.570535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>125.877201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-07-01</td>\n",
       "      <td>77.663905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>102.786395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>134.159870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>164.552634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>153.784578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>185.554236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>296.289976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023-02-01</td>\n",
       "      <td>329.181929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>244.884025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2023-04-01</td>\n",
       "      <td>195.164285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>223.030238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>164.269990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2023-07-01</td>\n",
       "      <td>101.028194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>127.237413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2023-09-01</td>\n",
       "      <td>148.255790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>162.253086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>163.217226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>193.397000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date      values\n",
       "0  2022-01-01  330.415419\n",
       "1  2022-02-01  414.367309\n",
       "2  2022-03-01  264.933301\n",
       "3  2022-04-01  178.229649\n",
       "4  2022-05-01  235.570535\n",
       "5  2022-06-01  125.877201\n",
       "6  2022-07-01   77.663905\n",
       "7  2022-08-01  102.786395\n",
       "8  2022-09-01  134.159870\n",
       "9  2022-10-01  164.552634\n",
       "10 2022-11-01  153.784578\n",
       "11 2022-12-01  185.554236\n",
       "12 2023-01-01  296.289976\n",
       "13 2023-02-01  329.181929\n",
       "14 2023-03-01  244.884025\n",
       "15 2023-04-01  195.164285\n",
       "16 2023-05-01  223.030238\n",
       "17 2023-06-01  164.269990\n",
       "18 2023-07-01  101.028194\n",
       "19 2023-08-01  127.237413\n",
       "20 2023-09-01  148.255790\n",
       "21 2023-10-01  162.253086\n",
       "22 2023-11-01  163.217226\n",
       "23 2023-12-01  193.397000"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "0d07f15f",
   "metadata": {},
   "outputs": [],
   "source": [
    "f_temp.loc[-1] = [train_df.index[-1],train_df['RR'][-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "1e3432dc",
   "metadata": {},
   "outputs": [
    {
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       "      <td>2022-02-01</td>\n",
       "      <td>414.367309</td>\n",
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       "      <th>2</th>\n",
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       "      <td>264.933301</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>178.229649</td>\n",
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       "      <th>4</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>235.570535</td>\n",
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       "      <th>5</th>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>125.877201</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-07-01</td>\n",
       "      <td>77.663905</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>102.786395</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>134.159870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>164.552634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>153.784578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>185.554236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>296.289976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023-02-01</td>\n",
       "      <td>329.181929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>244.884025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2023-04-01</td>\n",
       "      <td>195.164285</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>223.030238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>164.269990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2023-07-01</td>\n",
       "      <td>101.028194</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>127.237413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2023-09-01</td>\n",
       "      <td>148.255790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>162.253086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>163.217226</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>193.397000</td>\n",
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       "    <tr>\n",
       "      <th>-1</th>\n",
       "      <td>2021-12-01</td>\n",
       "      <td>171.600000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "          date      values\n",
       " 0  2022-01-01  330.415419\n",
       " 1  2022-02-01  414.367309\n",
       " 2  2022-03-01  264.933301\n",
       " 3  2022-04-01  178.229649\n",
       " 4  2022-05-01  235.570535\n",
       " 5  2022-06-01  125.877201\n",
       " 6  2022-07-01   77.663905\n",
       " 7  2022-08-01  102.786395\n",
       " 8  2022-09-01  134.159870\n",
       " 9  2022-10-01  164.552634\n",
       " 10 2022-11-01  153.784578\n",
       " 11 2022-12-01  185.554236\n",
       " 12 2023-01-01  296.289976\n",
       " 13 2023-02-01  329.181929\n",
       " 14 2023-03-01  244.884025\n",
       " 15 2023-04-01  195.164285\n",
       " 16 2023-05-01  223.030238\n",
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       " 22 2023-11-01  163.217226\n",
       " 23 2023-12-01  193.397000\n",
       "-1  2021-12-01  171.600000"
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     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
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    "f_temp"
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  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "c9147d55",
   "metadata": {},
   "outputs": [
    {
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       "      <th>3</th>\n",
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       "      <td>264.933301</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>178.229649</td>\n",
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       "      <th>5</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>235.570535</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>125.877201</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-07-01</td>\n",
       "      <td>77.663905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>102.786395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>134.159870</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>164.552634</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>153.784578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>185.554236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>296.289976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2023-02-01</td>\n",
       "      <td>329.181929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>244.884025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2023-04-01</td>\n",
       "      <td>195.164285</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>223.030238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>164.269990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2023-07-01</td>\n",
       "      <td>101.028194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>127.237413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2023-09-01</td>\n",
       "      <td>148.255790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>162.253086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>163.217226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>193.397000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-12-01</td>\n",
       "      <td>171.600000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date      values\n",
       "1  2022-01-01  330.415419\n",
       "2  2022-02-01  414.367309\n",
       "3  2022-03-01  264.933301\n",
       "4  2022-04-01  178.229649\n",
       "5  2022-05-01  235.570535\n",
       "6  2022-06-01  125.877201\n",
       "7  2022-07-01   77.663905\n",
       "8  2022-08-01  102.786395\n",
       "9  2022-09-01  134.159870\n",
       "10 2022-10-01  164.552634\n",
       "11 2022-11-01  153.784578\n",
       "12 2022-12-01  185.554236\n",
       "13 2023-01-01  296.289976\n",
       "14 2023-02-01  329.181929\n",
       "15 2023-03-01  244.884025\n",
       "16 2023-04-01  195.164285\n",
       "17 2023-05-01  223.030238\n",
       "18 2023-06-01  164.269990\n",
       "19 2023-07-01  101.028194\n",
       "20 2023-08-01  127.237413\n",
       "21 2023-09-01  148.255790\n",
       "22 2023-10-01  162.253086\n",
       "23 2023-11-01  163.217226\n",
       "24 2023-12-01  193.397000\n",
       "0  2021-12-01  171.600000"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_temp.index = f_temp.index + 1\n",
    "f_temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "56cb4555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 25 entries, 0 to 24\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype         \n",
      "---  ------  --------------  -----         \n",
      " 0   date    25 non-null     datetime64[ns]\n",
      " 1   values  25 non-null     float64       \n",
      "dtypes: datetime64[ns](1), float64(1)\n",
      "memory usage: 600.0 bytes\n"
     ]
    }
   ],
   "source": [
    "f_temp = f_temp.sort_index()\n",
    "f_temp.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "98c3c4c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "f_temp = f_temp.set_index('date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "217c8f88",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figg = plt.figure(figsize=(12, 8))\n",
    "orig = plt.plot(train_df['RR'], color='blue',label='Original')\n",
    "fore = plt.plot(f_temp['values'], color='red', label='Forecast')\n",
    "plt.legend(loc='best')\n",
    "plt.title('Forecast of upcomming Rain ')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "e3cb8951",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lower RR</th>\n",
       "      <th>upper RR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-01-01</th>\n",
       "      <td>88.721336</td>\n",
       "      <td>572.109503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-01</th>\n",
       "      <td>150.357274</td>\n",
       "      <td>678.377345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-01</th>\n",
       "      <td>-2.042161</td>\n",
       "      <td>531.908762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-04-01</th>\n",
       "      <td>-89.145300</td>\n",
       "      <td>445.604598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-01</th>\n",
       "      <td>-34.393214</td>\n",
       "      <td>505.534285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-06-01</th>\n",
       "      <td>-144.898318</td>\n",
       "      <td>396.652720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-01</th>\n",
       "      <td>-193.545909</td>\n",
       "      <td>348.873719</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              lower RR    upper RR\n",
       "2022-01-01   88.721336  572.109503\n",
       "2022-02-01  150.357274  678.377345\n",
       "2022-03-01   -2.042161  531.908762\n",
       "2022-04-01  -89.145300  445.604598\n",
       "2022-05-01  -34.393214  505.534285\n",
       "2022-06-01 -144.898318  396.652720\n",
       "2022-07-01 -193.545909  348.873719"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcast = sarimax_mod.get_forecast(datetime.date.today()+timedelta(days=7))\n",
    "fcast = fcast.conf_int()\n",
    "fcast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "756308ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lower RR</th>\n",
       "      <th>upper RR</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>171.600000</td>\n",
       "      <td>171.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-01</th>\n",
       "      <td>88.721336</td>\n",
       "      <td>572.109503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-01</th>\n",
       "      <td>150.357274</td>\n",
       "      <td>678.377345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-01</th>\n",
       "      <td>-2.042161</td>\n",
       "      <td>531.908762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-04-01</th>\n",
       "      <td>-89.145300</td>\n",
       "      <td>445.604598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-01</th>\n",
       "      <td>-34.393214</td>\n",
       "      <td>505.534285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-06-01</th>\n",
       "      <td>-144.898318</td>\n",
       "      <td>396.652720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-01</th>\n",
       "      <td>-193.545909</td>\n",
       "      <td>348.873719</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              lower RR    upper RR\n",
       "index                             \n",
       "2021-12-01  171.600000  171.600000\n",
       "2022-01-01   88.721336  572.109503\n",
       "2022-02-01  150.357274  678.377345\n",
       "2022-03-01   -2.042161  531.908762\n",
       "2022-04-01  -89.145300  445.604598\n",
       "2022-05-01  -34.393214  505.534285\n",
       "2022-06-01 -144.898318  396.652720\n",
       "2022-07-01 -193.545909  348.873719"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcast = fcast.reset_index()\n",
    "fcast.loc[-1] = [train_df.index[-1],train_df['RR'][-1],train_df['RR'][-1]]\n",
    "fcast.index = fcast.index + 1\n",
    "fcast = fcast.sort_index()\n",
    "fcast['index'] = pd.to_datetime(fcast['index'], format=\"%d-%b-%y\")\n",
    "fcast = fcast.set_index('index')\n",
    "fcast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "deae1f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# predict lagi\n",
    "figg = plt.figure(figsize=(12, 8))\n",
    "orig = plt.plot(train_df['RR'], color='blue',label='Original')\n",
    "fore = plt.plot(f_temp['values'], color='orange', label='Forecast')\n",
    "lower = plt.plot(fcast['lower RR'], color='green', label='Lower Bound')\n",
    "upper = plt.plot(fcast['upper RR'], color='red', label='Upper Bound')\n",
    "plt.legend(loc='best')\n",
    "plt.title('Forecast of upcomming Rain')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}