Moving Average & Exponential Smoothing Techniques(ETS).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "43ce64b2",
   "metadata": {},
   "source": [
    "### Import required libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a897baf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7131474",
   "metadata": {},
   "source": [
    "### Load & Read the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "a83329f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month-Year</th>\n",
       "      <th>Number of Tractor Sold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jan-03</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Feb-03</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mar-03</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Apr-03</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>May-03</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Month-Year  Number of Tractor Sold\n",
       "0     Jan-03                     141\n",
       "1     Feb-03                     157\n",
       "2     Mar-03                     185\n",
       "3     Apr-03                     199\n",
       "4     May-03                     203"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(\"D:/PGP IN DATA SCIENCE with Careerera/Data Sets/data-for-time-series/Tractor-Sales.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cacb840e",
   "metadata": {},
   "source": [
    "### Shape & Size of data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7c31c9dc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(144, 2)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ea908430",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "288"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.size"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac05518c",
   "metadata": {},
   "source": [
    "### Null value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5d40591f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month-Year                0\n",
       "Number of Tractor Sold    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "306b4378",
   "metadata": {},
   "source": [
    "### Data types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "57eb6b6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month-Year                object\n",
       "Number of Tractor Sold     int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57fbe209",
   "metadata": {},
   "source": [
    "Month-Year column's data type is Object hence we cannot perform Time Series forecasting.\n",
    "Change data type object to Date time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "96165dc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date']=pd.to_datetime(df['Month-Year'], format='%b-%y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6992b393",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month-Year                        object\n",
       "Number of Tractor Sold             int64\n",
       "Date                      datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "671c4850",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop the old Month-Year column\n",
    "df1=df.drop(columns=[\"Month-Year\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ae12f568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2003-01-01 00:00:00')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Date'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "587bdf8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2014-12-01 00:00:00')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Date'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9de60b45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2003\n",
       "1      2003\n",
       "2      2003\n",
       "3      2003\n",
       "4      2003\n",
       "       ... \n",
       "139    2014\n",
       "140    2014\n",
       "141    2014\n",
       "142    2014\n",
       "143    2014\n",
       "Name: Date, Length: 144, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Date'].dt.year"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edefb129",
   "metadata": {},
   "source": [
    "Our data is monthly basis, so check whether all months data is present or not"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "08b960ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "144"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#total year are 12 and data is monthly data hence\n",
    "12*12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5244e52a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(144, 2)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78099ee4",
   "metadata": {},
   "source": [
    "No missing rows."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0a22f4f",
   "metadata": {},
   "source": [
    "### EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ee45751",
   "metadata": {},
   "source": [
    "#### Create Month & Year column from Date column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "7c5acebf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['Year']=df1['Date'].dt.year\n",
    "df1['Month']=df1['Date'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "d0cc2bde",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number of Tractor Sold</th>\n",
       "      <th>Date</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>141</td>\n",
       "      <td>2003-01-01</td>\n",
       "      <td>2003</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>157</td>\n",
       "      <td>2003-02-01</td>\n",
       "      <td>2003</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>185</td>\n",
       "      <td>2003-03-01</td>\n",
       "      <td>2003</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>199</td>\n",
       "      <td>2003-04-01</td>\n",
       "      <td>2003</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203</td>\n",
       "      <td>2003-05-01</td>\n",
       "      <td>2003</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Number of Tractor Sold       Date  Year  Month\n",
       "0                     141 2003-01-01  2003      1\n",
       "1                     157 2003-02-01  2003      2\n",
       "2                     185 2003-03-01  2003      3\n",
       "3                     199 2003-04-01  2003      4\n",
       "4                     203 2003-05-01  2003      5"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "28f393fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Number of Tractor Sold             int64\n",
       "Date                      datetime64[ns]\n",
       "Year                               int64\n",
       "Month                              int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1fbfeae",
   "metadata": {},
   "source": [
    "### Plot Sales vs Year wrt Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "4efd5273",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Month</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>141</td>\n",
       "      <td>157</td>\n",
       "      <td>185</td>\n",
       "      <td>199</td>\n",
       "      <td>203</td>\n",
       "      <td>189</td>\n",
       "      <td>207</td>\n",
       "      <td>207</td>\n",
       "      <td>171</td>\n",
       "      <td>150</td>\n",
       "      <td>138</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>145</td>\n",
       "      <td>168</td>\n",
       "      <td>197</td>\n",
       "      <td>208</td>\n",
       "      <td>210</td>\n",
       "      <td>209</td>\n",
       "      <td>238</td>\n",
       "      <td>238</td>\n",
       "      <td>199</td>\n",
       "      <td>168</td>\n",
       "      <td>152</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>183</td>\n",
       "      <td>200</td>\n",
       "      <td>249</td>\n",
       "      <td>251</td>\n",
       "      <td>289</td>\n",
       "      <td>249</td>\n",
       "      <td>279</td>\n",
       "      <td>279</td>\n",
       "      <td>232</td>\n",
       "      <td>204</td>\n",
       "      <td>194</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>215</td>\n",
       "      <td>239</td>\n",
       "      <td>270</td>\n",
       "      <td>279</td>\n",
       "      <td>307</td>\n",
       "      <td>305</td>\n",
       "      <td>322</td>\n",
       "      <td>339</td>\n",
       "      <td>263</td>\n",
       "      <td>241</td>\n",
       "      <td>229</td>\n",
       "      <td>272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>247</td>\n",
       "      <td>261</td>\n",
       "      <td>330</td>\n",
       "      <td>362</td>\n",
       "      <td>385</td>\n",
       "      <td>340</td>\n",
       "      <td>370</td>\n",
       "      <td>381</td>\n",
       "      <td>299</td>\n",
       "      <td>266</td>\n",
       "      <td>239</td>\n",
       "      <td>281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>257</td>\n",
       "      <td>250</td>\n",
       "      <td>329</td>\n",
       "      <td>350</td>\n",
       "      <td>393</td>\n",
       "      <td>370</td>\n",
       "      <td>423</td>\n",
       "      <td>410</td>\n",
       "      <td>326</td>\n",
       "      <td>289</td>\n",
       "      <td>270</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>305</td>\n",
       "      <td>310</td>\n",
       "      <td>374</td>\n",
       "      <td>414</td>\n",
       "      <td>454</td>\n",
       "      <td>441</td>\n",
       "      <td>510</td>\n",
       "      <td>486</td>\n",
       "      <td>393</td>\n",
       "      <td>345</td>\n",
       "      <td>315</td>\n",
       "      <td>389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>358</td>\n",
       "      <td>368</td>\n",
       "      <td>444</td>\n",
       "      <td>482</td>\n",
       "      <td>534</td>\n",
       "      <td>524</td>\n",
       "      <td>578</td>\n",
       "      <td>567</td>\n",
       "      <td>447</td>\n",
       "      <td>386</td>\n",
       "      <td>360</td>\n",
       "      <td>428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>397</td>\n",
       "      <td>400</td>\n",
       "      <td>498</td>\n",
       "      <td>536</td>\n",
       "      <td>596</td>\n",
       "      <td>591</td>\n",
       "      <td>651</td>\n",
       "      <td>654</td>\n",
       "      <td>509</td>\n",
       "      <td>437</td>\n",
       "      <td>406</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>428</td>\n",
       "      <td>423</td>\n",
       "      <td>507</td>\n",
       "      <td>536</td>\n",
       "      <td>610</td>\n",
       "      <td>609</td>\n",
       "      <td>687</td>\n",
       "      <td>707</td>\n",
       "      <td>509</td>\n",
       "      <td>452</td>\n",
       "      <td>412</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>454</td>\n",
       "      <td>455</td>\n",
       "      <td>568</td>\n",
       "      <td>610</td>\n",
       "      <td>706</td>\n",
       "      <td>661</td>\n",
       "      <td>767</td>\n",
       "      <td>783</td>\n",
       "      <td>583</td>\n",
       "      <td>513</td>\n",
       "      <td>481</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>525</td>\n",
       "      <td>520</td>\n",
       "      <td>587</td>\n",
       "      <td>710</td>\n",
       "      <td>793</td>\n",
       "      <td>749</td>\n",
       "      <td>871</td>\n",
       "      <td>848</td>\n",
       "      <td>640</td>\n",
       "      <td>581</td>\n",
       "      <td>519</td>\n",
       "      <td>605</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Month   1    2    3    4    5    6    7    8    9    10   11   12\n",
       "Year                                                             \n",
       "2003   141  157  185  199  203  189  207  207  171  150  138  165\n",
       "2004   145  168  197  208  210  209  238  238  199  168  152  196\n",
       "2005   183  200  249  251  289  249  279  279  232  204  194  232\n",
       "2006   215  239  270  279  307  305  322  339  263  241  229  272\n",
       "2007   247  261  330  362  385  340  370  381  299  266  239  281\n",
       "2008   257  250  329  350  393  370  423  410  326  289  270  321\n",
       "2009   305  310  374  414  454  441  510  486  393  345  315  389\n",
       "2010   358  368  444  482  534  524  578  567  447  386  360  428\n",
       "2011   397  400  498  536  596  591  651  654  509  437  406  470\n",
       "2012   428  423  507  536  610  609  687  707  509  452  412  472\n",
       "2013   454  455  568  610  706  661  767  783  583  513  481  567\n",
       "2014   525  520  587  710  793  749  871  848  640  581  519  605"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary0=df1.pivot(\"Year\",\"Month\", values=\"Number of Tractor Sold\")\n",
    "summary0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "25c9217d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Year'>"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary0.plot(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "783d595b",
   "metadata": {},
   "source": [
    "### Plot Sales vs Month wrt Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "f9e5bc01",
   "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>Year</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>141</td>\n",
       "      <td>145</td>\n",
       "      <td>183</td>\n",
       "      <td>215</td>\n",
       "      <td>247</td>\n",
       "      <td>257</td>\n",
       "      <td>305</td>\n",
       "      <td>358</td>\n",
       "      <td>397</td>\n",
       "      <td>428</td>\n",
       "      <td>454</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>157</td>\n",
       "      <td>168</td>\n",
       "      <td>200</td>\n",
       "      <td>239</td>\n",
       "      <td>261</td>\n",
       "      <td>250</td>\n",
       "      <td>310</td>\n",
       "      <td>368</td>\n",
       "      <td>400</td>\n",
       "      <td>423</td>\n",
       "      <td>455</td>\n",
       "      <td>520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>185</td>\n",
       "      <td>197</td>\n",
       "      <td>249</td>\n",
       "      <td>270</td>\n",
       "      <td>330</td>\n",
       "      <td>329</td>\n",
       "      <td>374</td>\n",
       "      <td>444</td>\n",
       "      <td>498</td>\n",
       "      <td>507</td>\n",
       "      <td>568</td>\n",
       "      <td>587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>199</td>\n",
       "      <td>208</td>\n",
       "      <td>251</td>\n",
       "      <td>279</td>\n",
       "      <td>362</td>\n",
       "      <td>350</td>\n",
       "      <td>414</td>\n",
       "      <td>482</td>\n",
       "      <td>536</td>\n",
       "      <td>536</td>\n",
       "      <td>610</td>\n",
       "      <td>710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>203</td>\n",
       "      <td>210</td>\n",
       "      <td>289</td>\n",
       "      <td>307</td>\n",
       "      <td>385</td>\n",
       "      <td>393</td>\n",
       "      <td>454</td>\n",
       "      <td>534</td>\n",
       "      <td>596</td>\n",
       "      <td>610</td>\n",
       "      <td>706</td>\n",
       "      <td>793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>189</td>\n",
       "      <td>209</td>\n",
       "      <td>249</td>\n",
       "      <td>305</td>\n",
       "      <td>340</td>\n",
       "      <td>370</td>\n",
       "      <td>441</td>\n",
       "      <td>524</td>\n",
       "      <td>591</td>\n",
       "      <td>609</td>\n",
       "      <td>661</td>\n",
       "      <td>749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>207</td>\n",
       "      <td>238</td>\n",
       "      <td>279</td>\n",
       "      <td>322</td>\n",
       "      <td>370</td>\n",
       "      <td>423</td>\n",
       "      <td>510</td>\n",
       "      <td>578</td>\n",
       "      <td>651</td>\n",
       "      <td>687</td>\n",
       "      <td>767</td>\n",
       "      <td>871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>207</td>\n",
       "      <td>238</td>\n",
       "      <td>279</td>\n",
       "      <td>339</td>\n",
       "      <td>381</td>\n",
       "      <td>410</td>\n",
       "      <td>486</td>\n",
       "      <td>567</td>\n",
       "      <td>654</td>\n",
       "      <td>707</td>\n",
       "      <td>783</td>\n",
       "      <td>848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>171</td>\n",
       "      <td>199</td>\n",
       "      <td>232</td>\n",
       "      <td>263</td>\n",
       "      <td>299</td>\n",
       "      <td>326</td>\n",
       "      <td>393</td>\n",
       "      <td>447</td>\n",
       "      <td>509</td>\n",
       "      <td>509</td>\n",
       "      <td>583</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>150</td>\n",
       "      <td>168</td>\n",
       "      <td>204</td>\n",
       "      <td>241</td>\n",
       "      <td>266</td>\n",
       "      <td>289</td>\n",
       "      <td>345</td>\n",
       "      <td>386</td>\n",
       "      <td>437</td>\n",
       "      <td>452</td>\n",
       "      <td>513</td>\n",
       "      <td>581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>138</td>\n",
       "      <td>152</td>\n",
       "      <td>194</td>\n",
       "      <td>229</td>\n",
       "      <td>239</td>\n",
       "      <td>270</td>\n",
       "      <td>315</td>\n",
       "      <td>360</td>\n",
       "      <td>406</td>\n",
       "      <td>412</td>\n",
       "      <td>481</td>\n",
       "      <td>519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>165</td>\n",
       "      <td>196</td>\n",
       "      <td>232</td>\n",
       "      <td>272</td>\n",
       "      <td>281</td>\n",
       "      <td>321</td>\n",
       "      <td>389</td>\n",
       "      <td>428</td>\n",
       "      <td>470</td>\n",
       "      <td>472</td>\n",
       "      <td>567</td>\n",
       "      <td>605</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Year   2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  2014\n",
       "Month                                                                        \n",
       "1       141   145   183   215   247   257   305   358   397   428   454   525\n",
       "2       157   168   200   239   261   250   310   368   400   423   455   520\n",
       "3       185   197   249   270   330   329   374   444   498   507   568   587\n",
       "4       199   208   251   279   362   350   414   482   536   536   610   710\n",
       "5       203   210   289   307   385   393   454   534   596   610   706   793\n",
       "6       189   209   249   305   340   370   441   524   591   609   661   749\n",
       "7       207   238   279   322   370   423   510   578   651   687   767   871\n",
       "8       207   238   279   339   381   410   486   567   654   707   783   848\n",
       "9       171   199   232   263   299   326   393   447   509   509   583   640\n",
       "10      150   168   204   241   266   289   345   386   437   452   513   581\n",
       "11      138   152   194   229   239   270   315   360   406   412   481   519\n",
       "12      165   196   232   272   281   321   389   428   470   472   567   605"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary1=df1.pivot(\"Month\",\"Year\", values=\"Number of Tractor Sold\")\n",
    "summary1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "ec3032d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Month'>"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary1.plot(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "raw",
   "id": "c6f29b5c",
   "metadata": {},
   "source": [
    "There is trend i.e Positive\n",
    "There is seasonality period of 12 months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "1ce12d18",
   "metadata": {
    "scrolled": true
   },
   "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>Number of Tractor Sold</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2003-01-01</th>\n",
       "      <td>141</td>\n",
       "      <td>2003</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-02-01</th>\n",
       "      <td>157</td>\n",
       "      <td>2003</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-03-01</th>\n",
       "      <td>185</td>\n",
       "      <td>2003</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-04-01</th>\n",
       "      <td>199</td>\n",
       "      <td>2003</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-05-01</th>\n",
       "      <td>203</td>\n",
       "      <td>2003</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Number of Tractor Sold  Year  Month\n",
       "Date                                           \n",
       "2003-01-01                     141  2003      1\n",
       "2003-02-01                     157  2003      2\n",
       "2003-03-01                     185  2003      3\n",
       "2003-04-01                     199  2003      4\n",
       "2003-05-01                     203  2003      5"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Set Date as index\n",
    "df1.set_index([\"Date\"], inplace=True)\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "bade6c6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change column name for our convenience\n",
    "df1.rename(columns={\"Number of Tractor Sold\":\"Sales\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "02bd1c79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-01-01    141\n",
       "2003-02-01    157\n",
       "2003-03-01    185\n",
       "2003-04-01    199\n",
       "2003-05-01    203\n",
       "             ... \n",
       "2014-08-01    848\n",
       "2014-09-01    640\n",
       "2014-10-01    581\n",
       "2014-11-01    519\n",
       "2014-12-01    605\n",
       "Name: Sales, Length: 144, dtype: int64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yt=df1.Sales\n",
    "yt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "079568b1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ebbf7f33",
   "metadata": {},
   "source": [
    "### Forecast using Moving Average Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "b66c135d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-01-01      NaN\n",
       "2003-02-01    149.0\n",
       "2003-03-01    171.0\n",
       "2003-04-01    192.0\n",
       "2003-05-01    201.0\n",
       "              ...  \n",
       "2014-08-01    859.5\n",
       "2014-09-01    744.0\n",
       "2014-10-01    610.5\n",
       "2014-11-01    550.0\n",
       "2014-12-01    562.0\n",
       "Name: Sales, Length: 144, dtype: float64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Moving_Average_with_windos_2=yt.rolling(window=2).mean()\n",
    "Moving_Average_with_windos_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "6c08f4df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-01-01           NaN\n",
       "2003-02-01           NaN\n",
       "2003-03-01    161.000000\n",
       "2003-04-01    180.333333\n",
       "2003-05-01    195.666667\n",
       "                 ...    \n",
       "2014-08-01    822.666667\n",
       "2014-09-01    786.333333\n",
       "2014-10-01    689.666667\n",
       "2014-11-01    580.000000\n",
       "2014-12-01    568.333333\n",
       "Name: Sales, Length: 144, dtype: float64"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Moving_Average_with_windos_3=yt.rolling(window=3).mean()\n",
    "Moving_Average_with_windos_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "fe0d9ea4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-01-01       NaN\n",
       "2003-02-01       NaN\n",
       "2003-03-01       NaN\n",
       "2003-04-01    170.50\n",
       "2003-05-01    186.00\n",
       "               ...  \n",
       "2014-08-01    815.25\n",
       "2014-09-01    777.00\n",
       "2014-10-01    735.00\n",
       "2014-11-01    647.00\n",
       "2014-12-01    586.25\n",
       "Name: Sales, Length: 144, dtype: float64"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Moving_Average_with_windos_4=yt.rolling(window=4).mean()\n",
    "Moving_Average_with_windos_4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "6ad2641e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-01-01           NaN\n",
       "2003-02-01           NaN\n",
       "2003-03-01           NaN\n",
       "2003-04-01           NaN\n",
       "2003-05-01           NaN\n",
       "                 ...    \n",
       "2014-08-01    651.272727\n",
       "2014-09-01    662.818182\n",
       "2014-10-01    671.909091\n",
       "2014-11-01    667.545455\n",
       "2014-12-01    674.818182\n",
       "Name: Sales, Length: 144, dtype: float64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Moving_Average_with_windos_11=yt.rolling(window=11).mean()\n",
    "Moving_Average_with_windos_11"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7b1fdb3",
   "metadata": {},
   "source": [
    "#### Plot above average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "504a70d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2a1a1f6d9d0>"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes=plt.subplots(2,2,sharey=False, sharex=False)\n",
    "fig.set_figwidth(14)\n",
    "fig.set_figheight(8)\n",
    "\n",
    "axes[0][0].plot(yt.index, yt, label=\"Original Series\")\n",
    "axes[0][0].plot(yt.index, yt.rolling(window=2).mean(), label=\"rolling 2 window\")\n",
    "axes[0][0].legend()\n",
    "\n",
    "axes[0][1].plot(yt.index, yt, label=\"Original Series\")\n",
    "axes[0][1].plot(yt.index, yt.rolling(window=3).mean(), label=\"rolling 3 window\")\n",
    "axes[0][1].legend()\n",
    "\n",
    "axes[1][0].plot(yt.index, yt, label=\"Original Series\")\n",
    "axes[1][0].plot(yt.index, yt.rolling(window=4).mean(), label=\"rolling 4 window\")\n",
    "axes[1][0].legend()\n",
    "\n",
    "axes[1][1].plot(yt.index, yt, label=\"Original Series\")\n",
    "axes[1][1].plot(yt.index, yt.rolling(window=11).mean(), label=\"rolling 11 window\")\n",
    "axes[1][1].legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9089bcf",
   "metadata": {},
   "source": [
    "From above we can clearly see the Trend & Seasonality hence hence \"Multiplicative Model\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d1e78d",
   "metadata": {},
   "source": [
    "### Decomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "6ea6ce5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.seasonal import seasonal_decompose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "4da5e2ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "decomposition=seasonal_decompose(yt, model='multiplicative',two_sided=False, extrapolate_trend=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "89b79965",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "decomposition.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "51c32ebc",
   "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>Actual</th>\n",
       "      <th>Seasonal</th>\n",
       "      <th>Trend</th>\n",
       "      <th>Resid</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2003-01-01</th>\n",
       "      <td>141.0</td>\n",
       "      <td>0.823508</td>\n",
       "      <td>166.408333</td>\n",
       "      <td>1.028907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-02-01</th>\n",
       "      <td>157.0</td>\n",
       "      <td>0.853891</td>\n",
       "      <td>167.216667</td>\n",
       "      <td>1.099557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-03-01</th>\n",
       "      <td>185.0</td>\n",
       "      <td>1.024830</td>\n",
       "      <td>168.025000</td>\n",
       "      <td>1.074350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-04-01</th>\n",
       "      <td>199.0</td>\n",
       "      <td>1.092962</td>\n",
       "      <td>168.833333</td>\n",
       "      <td>1.078424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-05-01</th>\n",
       "      <td>203.0</td>\n",
       "      <td>1.187805</td>\n",
       "      <td>169.641667</td>\n",
       "      <td>1.007438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-08-01</th>\n",
       "      <td>848.0</td>\n",
       "      <td>1.222687</td>\n",
       "      <td>642.875000</td>\n",
       "      <td>1.078833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-01</th>\n",
       "      <td>640.0</td>\n",
       "      <td>0.950868</td>\n",
       "      <td>647.958333</td>\n",
       "      <td>1.038754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-10-01</th>\n",
       "      <td>581.0</td>\n",
       "      <td>0.829943</td>\n",
       "      <td>653.166667</td>\n",
       "      <td>1.071776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-01</th>\n",
       "      <td>519.0</td>\n",
       "      <td>0.760143</td>\n",
       "      <td>657.583333</td>\n",
       "      <td>1.038297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-01</th>\n",
       "      <td>605.0</td>\n",
       "      <td>0.898956</td>\n",
       "      <td>660.750000</td>\n",
       "      <td>1.018544</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>144 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Actual  Seasonal       Trend     Resid\n",
       "Date                                              \n",
       "2003-01-01   141.0  0.823508  166.408333  1.028907\n",
       "2003-02-01   157.0  0.853891  167.216667  1.099557\n",
       "2003-03-01   185.0  1.024830  168.025000  1.074350\n",
       "2003-04-01   199.0  1.092962  168.833333  1.078424\n",
       "2003-05-01   203.0  1.187805  169.641667  1.007438\n",
       "...            ...       ...         ...       ...\n",
       "2014-08-01   848.0  1.222687  642.875000  1.078833\n",
       "2014-09-01   640.0  0.950868  647.958333  1.038754\n",
       "2014-10-01   581.0  0.829943  653.166667  1.071776\n",
       "2014-11-01   519.0  0.760143  657.583333  1.038297\n",
       "2014-12-01   605.0  0.898956  660.750000  1.018544\n",
       "\n",
       "[144 rows x 4 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({\"Actual\":decomposition.observed, \"Seasonal\":decomposition.seasonal, \"Trend\":decomposition.trend, \"Resid\":decomposition.resid})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c630bf44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__class__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__module__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " '__weakref__',\n",
       " '_observed',\n",
       " '_resid',\n",
       " '_seasonal',\n",
       " '_trend',\n",
       " '_weights',\n",
       " 'nobs',\n",
       " 'observed',\n",
       " 'plot',\n",
       " 'resid',\n",
       " 'seasonal',\n",
       " 'trend',\n",
       " 'weights']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(decomposition)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f54a815",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "b8dfd713",
   "metadata": {},
   "source": [
    "### Forecasting using ETS Method"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1da8abb8",
   "metadata": {},
   "source": [
    "#### When alpa is taken it is single ETS, when alpha & beta taken it is double ETS, when alpha, beta & gamma taken then it is tripple ETS."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79bb09b2",
   "metadata": {},
   "source": [
    "#### Split data into train & test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "90054107",
   "metadata": {},
   "outputs": [],
   "source": [
    "train=yt[:\"2014-06-01\"]\n",
    "test=yt[\"2014-07-01\":]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "861ff90f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-01-01    141\n",
       "2003-02-01    157\n",
       "2003-03-01    185\n",
       "2003-04-01    199\n",
       "2003-05-01    203\n",
       "             ... \n",
       "2014-02-01    520\n",
       "2014-03-01    587\n",
       "2014-04-01    710\n",
       "2014-05-01    793\n",
       "2014-06-01    749\n",
       "Name: Sales, Length: 138, dtype: int64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d144f990",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2014-07-01    871\n",
       "2014-08-01    848\n",
       "2014-09-01    640\n",
       "2014-10-01    581\n",
       "2014-11-01    519\n",
       "2014-12-01    605\n",
       "Name: Sales, dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "af574881",
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.holtwinters import ExponentialSmoothing\n",
    "\n",
    "alpha=0.4\n",
    "beta=0.3\n",
    "gamma=0.1\n",
    "ets_model=ExponentialSmoothing(train, trend='mul',seasonal='mul',seasonal_periods=12)\n",
    "ets_fit=ets_model.fit(smoothing_level=alpha, smoothing_slope=beta,smoothing_seasonal=gamma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "eb86243b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2014-07-01    833.871924\n",
       "2014-08-01    832.132809\n",
       "2014-09-01    637.391366\n",
       "2014-10-01    557.400284\n",
       "2014-11-01    513.491494\n",
       "2014-12-01    605.670880\n",
       "Freq: MS, dtype: float64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcast=ets_fit.forecast(6)\n",
    "fcast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "432f3a8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2014-07-01    871\n",
       "2014-08-01    848\n",
       "2014-09-01    640\n",
       "2014-10-01    581\n",
       "2014-11-01    519\n",
       "2014-12-01    605\n",
       "Name: Sales, dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "6924e1a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE 370.8011757097343\n"
     ]
    }
   ],
   "source": [
    "print(\"MSE\",np.mean((fcast-test)**2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "442cf419",
   "metadata": {},
   "source": [
    "Mean Squared Error(MSE) high, to reduce this use different combination of alpha, beta & gamma."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "80951fa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "a=np.linspace(0,1,5)\n",
    "b=np.linspace(0,1,5)\n",
    "g=np.linspace(0,1,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "98c2d64c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model 1/125 \n",
      " for alpha : 0.0, beta : 0.0, and gamma : 0.0, the MSE is 7990021863477.427\n",
      "Model 2/125 \n",
      " for alpha : 0.0, beta : 0.0, and gamma : 0.25, the MSE is 647.6362955435138\n",
      "Model 3/125 \n",
      " for alpha : 0.0, beta : 0.0, and gamma : 0.5, the MSE is 435.1693942410254\n",
      "Model 4/125 \n",
      " for alpha : 0.0, beta : 0.0, and gamma : 0.75, the MSE is 317.43635697621977\n",
      "Model 5/125 \n",
      " for alpha : 0.0, beta : 0.0, and gamma : 1.0, the MSE is 363.21864250070456\n",
      "Model 6/125 \n",
      " for alpha : 0.0, beta : 0.25, and gamma : 0.0, the MSE is 7990021863477.427\n",
      "Model 7/125 \n",
      " for alpha : 0.0, beta : 0.25, and gamma : 0.25, the MSE is 647.6374745989159\n",
      "Model 8/125 \n",
      " for alpha : 0.0, beta : 0.25, and gamma : 0.5, the MSE is 435.16279447573703\n",
      "Model 9/125 \n",
      " for alpha : 0.0, beta : 0.25, and gamma : 0.75, the MSE is 317.43635697621977\n",
      "Model 10/125 \n",
      " for alpha : 0.0, beta : 0.25, and gamma : 1.0, the MSE is 363.21864250070456\n",
      "Model 11/125 \n",
      " for alpha : 0.0, beta : 0.5, and gamma : 0.0, the MSE is 7990021863477.427\n",
      "Model 12/125 \n",
      " for alpha : 0.0, beta : 0.5, and gamma : 0.25, the MSE is 647.634620289403\n",
      "Model 13/125 \n",
      " for alpha : 0.0, beta : 0.5, and gamma : 0.5, the MSE is 435.1693942410254\n",
      "Model 14/125 \n",
      " for alpha : 0.0, beta : 0.5, and gamma : 0.75, the MSE is 317.43635697621977\n",
      "Model 15/125 \n",
      " for alpha : 0.0, beta : 0.5, and gamma : 1.0, the MSE is 363.21864250070456\n",
      "Model 16/125 \n",
      " for alpha : 0.0, beta : 0.75, and gamma : 0.0, the MSE is 7990021863477.427\n",
      "Model 17/125 \n",
      " for alpha : 0.0, beta : 0.75, and gamma : 0.25, the MSE is 647.6085904405057\n",
      "Model 18/125 \n",
      " for alpha : 0.0, beta : 0.75, and gamma : 0.5, the MSE is 435.1693942410254\n",
      "Model 19/125 \n",
      " for alpha : 0.0, beta : 0.75, and gamma : 0.75, the MSE is 317.43635697621977\n",
      "Model 20/125 \n",
      " for alpha : 0.0, beta : 0.75, and gamma : 1.0, the MSE is 363.21864250070456\n",
      "Model 21/125 \n",
      " for alpha : 0.0, beta : 1.0, and gamma : 0.0, the MSE is 7990021863477.427\n",
      "Model 22/125 \n",
      " for alpha : 0.0, beta : 1.0, and gamma : 0.25, the MSE is 647.6247891612456\n",
      "Model 23/125 \n",
      " for alpha : 0.0, beta : 1.0, and gamma : 0.5, the MSE is 435.1637708031429\n",
      "Model 24/125 \n",
      " for alpha : 0.0, beta : 1.0, and gamma : 0.75, the MSE is 317.43635697621977\n",
      "Model 25/125 \n",
      " for alpha : 0.0, beta : 1.0, and gamma : 1.0, the MSE is 363.21864250070456\n",
      "Model 26/125 \n",
      " for alpha : 0.25, beta : 0.0, and gamma : 0.0, the MSE is 424.0849445762471\n",
      "Model 27/125 \n",
      " for alpha : 0.25, beta : 0.0, and gamma : 0.25, the MSE is 161.7890871352366\n",
      "Model 28/125 \n",
      " for alpha : 0.25, beta : 0.0, and gamma : 0.5, the MSE is 227.35233908194382\n",
      "Model 29/125 \n",
      " for alpha : 0.25, beta : 0.0, and gamma : 0.75, the MSE is 437.35685079332575\n",
      "Model 30/125 \n",
      " for alpha : 0.25, beta : 0.0, and gamma : 1.0, the MSE is 636.6632513275584\n",
      "Model 31/125 \n",
      " for alpha : 0.25, beta : 0.25, and gamma : 0.0, the MSE is 272.1666652239932\n",
      "Model 32/125 \n",
      " for alpha : 0.25, beta : 0.25, and gamma : 0.25, the MSE is 224.35179101133792\n",
      "Model 33/125 \n",
      " for alpha : 0.25, beta : 0.25, and gamma : 0.5, the MSE is 301.65748191683286\n",
      "Model 34/125 \n",
      " for alpha : 0.25, beta : 0.25, and gamma : 0.75, the MSE is 588.7616027400643\n",
      "Model 35/125 \n",
      " for alpha : 0.25, beta : 0.25, and gamma : 1.0, the MSE is 1704.2846157914457\n",
      "Model 36/125 \n",
      " for alpha : 0.25, beta : 0.5, and gamma : 0.0, the MSE is 542.3841679871595\n",
      "Model 37/125 \n",
      " for alpha : 0.25, beta : 0.5, and gamma : 0.25, the MSE is 864.551735515312\n",
      "Model 38/125 \n",
      " for alpha : 0.25, beta : 0.5, and gamma : 0.5, the MSE is 220.71046692333357\n",
      "Model 39/125 \n",
      " for alpha : 0.25, beta : 0.5, and gamma : 0.75, the MSE is 526.909679592107\n",
      "Model 40/125 \n",
      " for alpha : 0.25, beta : 0.5, and gamma : 1.0, the MSE is 734160.890484068\n",
      "Model 41/125 \n",
      " for alpha : 0.25, beta : 0.75, and gamma : 0.0, the MSE is 550.8380533174927\n",
      "Model 42/125 \n",
      " for alpha : 0.25, beta : 0.75, and gamma : 0.25, the MSE is 834.6389513386653\n",
      "Model 43/125 \n",
      " for alpha : 0.25, beta : 0.75, and gamma : 0.5, the MSE is 2134331.489822086\n",
      "Model 44/125 \n",
      " for alpha : 0.25, beta : 0.75, and gamma : 0.75, the MSE is 2134928760.6189177\n",
      "Model 45/125 \n",
      " for alpha : 0.25, beta : 0.75, and gamma : 1.0, the MSE is 398473.1531104404\n",
      "Model 46/125 \n",
      " for alpha : 0.25, beta : 1.0, and gamma : 0.0, the MSE is 1654.1529987058666\n",
      "Model 47/125 \n",
      " for alpha : 0.25, beta : 1.0, and gamma : 0.25, the MSE is 184.86466737227454\n",
      "Model 48/125 \n",
      " for alpha : 0.25, beta : 1.0, and gamma : 0.5, the MSE is 831619.6891425258\n",
      "Model 49/125 \n",
      " for alpha : 0.25, beta : 1.0, and gamma : 0.75, the MSE is 61514422945704.46\n",
      "Model 50/125 \n",
      " for alpha : 0.25, beta : 1.0, and gamma : 1.0, the MSE is 18150547832619.176\n",
      "Model 51/125 \n",
      " for alpha : 0.5, beta : 0.0, and gamma : 0.0, the MSE is 258.54378233718927\n",
      "Model 52/125 \n",
      " for alpha : 0.5, beta : 0.0, and gamma : 0.25, the MSE is 207.9860153063121\n",
      "Model 53/125 \n",
      " for alpha : 0.5, beta : 0.0, and gamma : 0.5, the MSE is 167.89929525035595\n",
      "Model 54/125 \n",
      " for alpha : 0.5, beta : 0.0, and gamma : 0.75, the MSE is 600.9632243070581\n",
      "Model 55/125 \n",
      " for alpha : 0.5, beta : 0.0, and gamma : 1.0, the MSE is 1072.1944472782327\n",
      "Model 56/125 \n",
      " for alpha : 0.5, beta : 0.25, and gamma : 0.0, the MSE is 345.77137987571297\n",
      "Model 57/125 \n",
      " for alpha : 0.5, beta : 0.25, and gamma : 0.25, the MSE is 302.49415052815715\n",
      "Model 58/125 \n",
      " for alpha : 0.5, beta : 0.25, and gamma : 0.5, the MSE is 215.87754168615152\n",
      "Model 59/125 \n",
      " for alpha : 0.5, beta : 0.25, and gamma : 0.75, the MSE is 784.2477017715414\n",
      "Model 60/125 \n",
      " for alpha : 0.5, beta : 0.25, and gamma : 1.0, the MSE is 2509.672480667668\n",
      "Model 61/125 \n",
      " for alpha : 0.5, beta : 0.5, and gamma : 0.0, the MSE is 1077.646300897136\n",
      "Model 62/125 \n",
      " for alpha : 0.5, beta : 0.5, and gamma : 0.25, the MSE is 210.03788842823147\n",
      "Model 63/125 \n",
      " for alpha : 0.5, beta : 0.5, and gamma : 0.5, the MSE is 968.7306383132837\n",
      "Model 64/125 \n",
      " for alpha : 0.5, beta : 0.5, and gamma : 0.75, the MSE is 105149.05059566959\n",
      "Model 65/125 \n",
      " for alpha : 0.5, beta : 0.5, and gamma : 1.0, the MSE is 8014097.1919724\n",
      "Model 66/125 \n",
      " for alpha : 0.5, beta : 0.75, and gamma : 0.0, the MSE is 2889.847337519665\n",
      "Model 67/125 \n",
      " for alpha : 0.5, beta : 0.75, and gamma : 0.25, the MSE is 964.4070283472671\n",
      "Model 68/125 \n",
      " for alpha : 0.5, beta : 0.75, and gamma : 0.5, the MSE is 3979.0313202889142\n",
      "Model 69/125 \n",
      " for alpha : 0.5, beta : 0.75, and gamma : 0.75, the MSE is 2791.6696035577884\n",
      "Model 70/125 \n",
      " for alpha : 0.5, beta : 0.75, and gamma : 1.0, the MSE is 388174.92591792624\n",
      "Model 71/125 \n",
      " for alpha : 0.5, beta : 1.0, and gamma : 0.0, the MSE is 4827.063025998442\n",
      "Model 72/125 \n",
      " for alpha : 0.5, beta : 1.0, and gamma : 0.25, the MSE is 1047.790030869592\n",
      "Model 73/125 \n",
      " for alpha : 0.5, beta : 1.0, and gamma : 0.5, the MSE is 3741.2036582757687\n",
      "Model 74/125 \n",
      " for alpha : 0.5, beta : 1.0, and gamma : 0.75, the MSE is 2765290623262.496\n",
      "Model 75/125 \n",
      " for alpha : 0.5, beta : 1.0, and gamma : 1.0, the MSE is 476702.9136944164\n",
      "Model 76/125 \n",
      " for alpha : 0.75, beta : 0.0, and gamma : 0.0, the MSE is 2585.597553323973\n",
      "Model 77/125 \n",
      " for alpha : 0.75, beta : 0.0, and gamma : 0.25, the MSE is 225.80376187731304\n",
      "Model 78/125 \n",
      " for alpha : 0.75, beta : 0.0, and gamma : 0.5, the MSE is 187.22407332436936\n",
      "Model 79/125 \n",
      " for alpha : 0.75, beta : 0.0, and gamma : 0.75, the MSE is 647.0827180483698\n",
      "Model 80/125 \n",
      " for alpha : 0.75, beta : 0.0, and gamma : 1.0, the MSE is 600.965951039059\n",
      "Model 81/125 \n",
      " for alpha : 0.75, beta : 0.25, and gamma : 0.0, the MSE is 485.9711132984274\n",
      "Model 82/125 \n",
      " for alpha : 0.75, beta : 0.25, and gamma : 0.25, the MSE is 217.49691164083052\n",
      "Model 83/125 \n",
      " for alpha : 0.75, beta : 0.25, and gamma : 0.5, the MSE is 277.0455673930776\n",
      "Model 84/125 \n",
      " for alpha : 0.75, beta : 0.25, and gamma : 0.75, the MSE is 1441.201271780583\n",
      "Model 85/125 \n",
      " for alpha : 0.75, beta : 0.25, and gamma : 1.0, the MSE is 584.1294193665855\n",
      "Model 86/125 \n",
      " for alpha : 0.75, beta : 0.5, and gamma : 0.0, the MSE is 1035.4248450847942\n",
      "Model 87/125 \n",
      " for alpha : 0.75, beta : 0.5, and gamma : 0.25, the MSE is 204.12461157801854\n",
      "Model 88/125 \n",
      " for alpha : 0.75, beta : 0.5, and gamma : 0.5, the MSE is 595.0718570807204\n",
      "Model 89/125 \n",
      " for alpha : 0.75, beta : 0.5, and gamma : 0.75, the MSE is 2179.218102567758\n",
      "Model 90/125 \n",
      " for alpha : 0.75, beta : 0.5, and gamma : 1.0, the MSE is 11487910.036557833\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model 91/125 \n",
      " for alpha : 0.75, beta : 0.75, and gamma : 0.0, the MSE is 886.3655268427565\n",
      "Model 92/125 \n",
      " for alpha : 0.75, beta : 0.75, and gamma : 0.25, the MSE is 177.2074016757695\n",
      "Model 93/125 \n",
      " for alpha : 0.75, beta : 0.75, and gamma : 0.5, the MSE is 998.9018477517808\n",
      "Model 94/125 \n",
      " for alpha : 0.75, beta : 0.75, and gamma : 0.75, the MSE is 225265.81432175168\n",
      "Model 95/125 \n",
      " for alpha : 0.75, beta : 0.75, and gamma : 1.0, the MSE is 3.886888151697409e+25\n",
      "Model 96/125 \n",
      " for alpha : 0.75, beta : 1.0, and gamma : 0.0, the MSE is 139.10658498668408\n",
      "Model 97/125 \n",
      " for alpha : 0.75, beta : 1.0, and gamma : 0.25, the MSE is 643.5745771577461\n",
      "Model 98/125 \n",
      " for alpha : 0.75, beta : 1.0, and gamma : 0.5, the MSE is 1453.096471545323\n",
      "Model 99/125 \n",
      " for alpha : 0.75, beta : 1.0, and gamma : 0.75, the MSE is 399478.09146443167\n",
      "Model 100/125 \n",
      " for alpha : 0.75, beta : 1.0, and gamma : 1.0, the MSE is 368306126.6398818\n",
      "Model 101/125 \n",
      " for alpha : 1.0, beta : 0.0, and gamma : 0.0, the MSE is 792.9074064123079\n",
      "Model 102/125 \n",
      " for alpha : 1.0, beta : 0.0, and gamma : 0.25, the MSE is 224.00863092522513\n",
      "Model 103/125 \n",
      " for alpha : 1.0, beta : 0.0, and gamma : 0.5, the MSE is 241.1123073766612\n",
      "Model 104/125 \n",
      " for alpha : 1.0, beta : 0.0, and gamma : 0.75, the MSE is 923.8588344707127\n",
      "Model 105/125 \n",
      " for alpha : 1.0, beta : 0.0, and gamma : 1.0, the MSE is 6628.494079163749\n",
      "Model 106/125 \n",
      " for alpha : 1.0, beta : 0.25, and gamma : 0.0, the MSE is 361.8569240795294\n",
      "Model 107/125 \n",
      " for alpha : 1.0, beta : 0.25, and gamma : 0.25, the MSE is 213.28226970372302\n",
      "Model 108/125 \n",
      " for alpha : 1.0, beta : 0.25, and gamma : 0.5, the MSE is 174.1742252817335\n",
      "Model 109/125 \n",
      " for alpha : 1.0, beta : 0.25, and gamma : 0.75, the MSE is 4527.1882980078035\n",
      "Model 110/125 \n",
      " for alpha : 1.0, beta : 0.25, and gamma : 1.0, the MSE is 3229125.1131359846\n",
      "Model 111/125 \n",
      " for alpha : 1.0, beta : 0.5, and gamma : 0.0, the MSE is 285.2548868355015\n",
      "Model 112/125 \n",
      " for alpha : 1.0, beta : 0.5, and gamma : 0.25, the MSE is 214.29899408283939\n",
      "Model 113/125 \n",
      " for alpha : 1.0, beta : 0.5, and gamma : 0.5, the MSE is 631.98569861747\n",
      "Model 114/125 \n",
      " for alpha : 1.0, beta : 0.5, and gamma : 0.75, the MSE is 119256.5430059344\n",
      "Model 115/125 \n",
      " for alpha : 1.0, beta : 0.5, and gamma : 1.0, the MSE is 6.431648694976055e+31\n",
      "Model 116/125 \n",
      " for alpha : 1.0, beta : 0.75, and gamma : 0.0, the MSE is 488.3052811002877\n",
      "Model 117/125 \n",
      " for alpha : 1.0, beta : 0.75, and gamma : 0.25, the MSE is 458.4045382938746\n",
      "Model 118/125 \n",
      " for alpha : 1.0, beta : 0.75, and gamma : 0.5, the MSE is 10443.588020964482\n",
      "Model 119/125 \n",
      " for alpha : 1.0, beta : 0.75, and gamma : 0.75, the MSE is 269221.53032308986\n",
      "Model 120/125 \n",
      " for alpha : 1.0, beta : 0.75, and gamma : 1.0, the MSE is 2.1858291504285337e+62\n",
      "Model 121/125 \n",
      " for alpha : 1.0, beta : 1.0, and gamma : 0.0, the MSE is 1522.5109626941503\n",
      "Model 122/125 \n",
      " for alpha : 1.0, beta : 1.0, and gamma : 0.25, the MSE is 3710.1113352049\n",
      "Model 123/125 \n",
      " for alpha : 1.0, beta : 1.0, and gamma : 0.5, the MSE is 132996.60645085704\n",
      "Model 124/125 \n",
      " for alpha : 1.0, beta : 1.0, and gamma : 0.75, the MSE is 476715.11967582075\n",
      "Model 125/125 \n",
      " for alpha : 1.0, beta : 1.0, and gamma : 1.0, the MSE is nan\n"
     ]
    }
   ],
   "source": [
    "total=len(a)*len(b)*len(g)\n",
    "\n",
    "best_alpha=np.inf\n",
    "best_beta=np.inf\n",
    "best_gamma=np.inf\n",
    "best_mse=np.inf\n",
    "count=0\n",
    "for i in a:\n",
    "    for j in b:\n",
    "        for k in g:\n",
    "            ets_model=ExponentialSmoothing(train, trend='mul',seasonal='mul',seasonal_periods=12)\n",
    "            ets_fit=ets_model.fit(smoothing_level=i, smoothing_slope=j,smoothing_seasonal=k)\n",
    "            fcast0=ets_fit.forecast(6)\n",
    "            mse=np.mean((fcast0-test)**2)\n",
    "            count=count+1\n",
    "            print(f\"Model {count}/{total} \\n for alpha : {i}, beta : {j}, and gamma : {k}, the MSE is {mse}\")\n",
    "            if mse<best_mse:\n",
    "                best_mse=mse\n",
    "                best_alpha=i\n",
    "                best_beta=j\n",
    "                best_gamma=k\n",
    "                \n",
    "best_values={\"Alpha\":best_alpha, \"Beta\":best_beta, \"Gamma\":best_gamma, \"MSE\":best_mse}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "60aa9ec5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Alpha': 0.75, 'Beta': 1.0, 'Gamma': 0.0, 'MSE': 139.10658498668408}"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71d110ee",
   "metadata": {},
   "source": [
    "Lets use above values to train our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "e20e6708",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha=0.75\n",
    "beta=1.0\n",
    "gamma= 0.0\n",
    "ets_model=ExponentialSmoothing(train, trend='mul',seasonal='mul',seasonal_periods=12)\n",
    "ets_fit=ets_model.fit(smoothing_level=alpha, smoothing_slope=beta,smoothing_seasonal=gamma)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30a2550d",
   "metadata": {},
   "source": [
    "Forecast the Future Sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "42220c46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2014-07-01    852.046408\n",
       "2014-08-01    850.703941\n",
       "2014-09-01    650.187189\n",
       "2014-10-01    567.439750\n",
       "2014-11-01    523.949641\n",
       "2014-12-01    617.487250\n",
       "Freq: MS, dtype: float64"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcast=ets_fit.forecast(6)\n",
    "fcast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "6397f142",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2014-07-01    871\n",
       "2014-08-01    848\n",
       "2014-09-01    640\n",
       "2014-10-01    581\n",
       "2014-11-01    519\n",
       "2014-12-01    605\n",
       "Name: Sales, dtype: int64"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "2e95b1ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE 139.10658498668408\n"
     ]
    }
   ],
   "source": [
    "print(\"MSE\",np.mean((fcast-test)**2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dc962e7",
   "metadata": {},
   "source": [
    "#### Actuual vs Predicted Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "c7945ccd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d=pd.DataFrame(fcast.reset_index())\n",
    "d.columns=[\"Date\",\"Predicted\"]\n",
    "\n",
    "d1=pd.DataFrame(test.reset_index())\n",
    "d1.columns=[\"Date\",\"Actual\"]\n",
    "final=pd.merge(d,d1,on=\"Date\",how=\"inner\")\n",
    "plt.plot(final[\"Date\"],final[\"Predicted\"], label=\"Predicted Value\", color=\"red\")\n",
    "plt.plot(final[\"Date\"],final[\"Actual\"], label=\"Actual Values\",color=\"green\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90cf484a",
   "metadata": {},
   "source": [
    "Forecast for Unseen Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "daefcc70",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha=0.75\n",
    "beta=1.0\n",
    "gamma= 0.0\n",
    "ets_model=ExponentialSmoothing(train, trend='mul',seasonal='mul',seasonal_periods=12)\n",
    "ets_fit=ets_model.fit(smoothing_level=alpha, smoothing_slope=beta,smoothing_seasonal=gamma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "f1ddc30c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2014-07-01    852.046408\n",
       "2014-08-01    850.703941\n",
       "2014-09-01    650.187189\n",
       "2014-10-01    567.439750\n",
       "2014-11-01    523.949641\n",
       "2014-12-01    617.487250\n",
       "2015-01-01    572.667254\n",
       "2015-02-01    580.945165\n",
       "2015-03-01    700.862988\n",
       "2015-04-01    767.090098\n",
       "2015-05-01    854.849655\n",
       "2015-06-01    815.610539\n",
       "2015-07-01    915.019681\n",
       "2015-08-01    913.577995\n",
       "2015-09-01    698.241397\n",
       "2015-10-01    609.378239\n",
       "2015-11-01    562.673851\n",
       "2015-12-01    663.124663\n",
       "Freq: MS, dtype: float64"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcast=ets_fit.forecast(18)\n",
    "fcast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "ce88c19c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(train, label='Tractor Sales')\n",
    "plt.plot(ets_fit.fittedvalues, label='Fittel Value')\n",
    "plt.plot(fcast, label='Forecasted Sale')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9dadce37",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}