3. EDA (post-processing).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:7: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  from pandas import (to_datetime, Int64Index, DatetimeIndex, Period,\n",
      "c:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:7: FutureWarning: pandas.Float64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  from pandas import (to_datetime, Int64Index, DatetimeIndex, Period,\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import missingno as msno \n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "import numpy as np\n",
    "from matplotlib import pyplot\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "from statsmodels.graphics.tsaplots import plot_acf\n",
    "from statsmodels.graphics.tsaplots import plot_pacf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Series Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dff = pd.read_excel(\"../Data/gasoline_price_sentiment_pre-processed_7.xlsx\", \"Sheet1\")\n",
    "dff7 = pd.read_excel(\"../Data/gasoline_price_sentiment_pre-processed_7.xlsx\", \"Sheet1\")\n",
    "dff30 = pd.read_excel(\"../Data/gasoline_price_sentiment_pre-processed_30.xlsx\", \"Sheet1\")\n",
    "dff365 = pd.read_excel(\"../Data/gasoline_price_sentiment_pre-processed_365.xlsx\", \"Sheet1\")\n",
    "dff.index = dff['Date']\n",
    "dff7.index = dff7['Date']\n",
    "dff30.index = dff30['Date']\n",
    "dff365.index = dff365['Date']\n",
    "del dff['Date']\n",
    "del dff7['Date']\n",
    "del dff30['Date']\n",
    "del dff365['Date']\n",
    "del dff[\"Unnamed: 0\"]\n",
    "del dff7[\"Unnamed: 0\"]\n",
    "del dff30[\"Unnamed: 0\"]\n",
    "del dff365[\"Unnamed: 0\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>price</th>\n",
       "      <th>popularity</th>\n",
       "      <th>general_sentiment</th>\n",
       "      <th>positive_outlook</th>\n",
       "      <th>happiness</th>\n",
       "      <th>bittersweet</th>\n",
       "      <th>confidence</th>\n",
       "      <th>disgust</th>\n",
       "      <th>disagreement</th>\n",
       "      <th>anxiety</th>\n",
       "      <th>...</th>\n",
       "      <th>dayofweek-2</th>\n",
       "      <th>dayofweek-3</th>\n",
       "      <th>dayofweek-4</th>\n",
       "      <th>dayofweek-5</th>\n",
       "      <th>dayofweek-6</th>\n",
       "      <th>weekend</th>\n",
       "      <th>sunday</th>\n",
       "      <th>price_lag_7</th>\n",
       "      <th>price_rm</th>\n",
       "      <th>price_ewm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>87.240684</td>\n",
       "      <td>512.0</td>\n",
       "      <td>0.725496</td>\n",
       "      <td>0.954908</td>\n",
       "      <td>1.006521</td>\n",
       "      <td>0.998807</td>\n",
       "      <td>1.002457</td>\n",
       "      <td>1.019614</td>\n",
       "      <td>1.049026</td>\n",
       "      <td>1.003928</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.240684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-02</th>\n",
       "      <td>87.240684</td>\n",
       "      <td>290.4</td>\n",
       "      <td>0.925469</td>\n",
       "      <td>0.942806</td>\n",
       "      <td>1.017355</td>\n",
       "      <td>0.996551</td>\n",
       "      <td>0.990483</td>\n",
       "      <td>1.017355</td>\n",
       "      <td>0.979214</td>\n",
       "      <td>1.003485</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.240684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-03</th>\n",
       "      <td>87.240684</td>\n",
       "      <td>230.9</td>\n",
       "      <td>0.860199</td>\n",
       "      <td>0.971601</td>\n",
       "      <td>1.008735</td>\n",
       "      <td>0.991261</td>\n",
       "      <td>0.999452</td>\n",
       "      <td>1.008735</td>\n",
       "      <td>1.061160</td>\n",
       "      <td>1.003706</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>87.240684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>87.240684</td>\n",
       "      <td>1261.1</td>\n",
       "      <td>0.959104</td>\n",
       "      <td>0.963869</td>\n",
       "      <td>1.002389</td>\n",
       "      <td>1.000800</td>\n",
       "      <td>1.002389</td>\n",
       "      <td>1.002786</td>\n",
       "      <td>1.011522</td>\n",
       "      <td>1.005566</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>87.240684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>88.983266</td>\n",
       "      <td>1902.5</td>\n",
       "      <td>0.994995</td>\n",
       "      <td>0.964214</td>\n",
       "      <td>1.004993</td>\n",
       "      <td>1.002625</td>\n",
       "      <td>0.999205</td>\n",
       "      <td>1.002099</td>\n",
       "      <td>1.008676</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.676330</td>\n",
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       "<p>5 rows × 74 columns</p>\n",
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      "text/plain": [
       "                price  popularity  general_sentiment  positive_outlook  \\\n",
       "Date                                                                     \n",
       "2010-01-01  87.240684       512.0           0.725496          0.954908   \n",
       "2010-01-02  87.240684       290.4           0.925469          0.942806   \n",
       "2010-01-03  87.240684       230.9           0.860199          0.971601   \n",
       "2010-01-04  87.240684      1261.1           0.959104          0.963869   \n",
       "2010-01-05  88.983266      1902.5           0.994995          0.964214   \n",
       "\n",
       "            happiness  bittersweet  confidence   disgust  disagreement  \\\n",
       "Date                                                                     \n",
       "2010-01-01   1.006521     0.998807    1.002457  1.019614      1.049026   \n",
       "2010-01-02   1.017355     0.996551    0.990483  1.017355      0.979214   \n",
       "2010-01-03   1.008735     0.991261    0.999452  1.008735      1.061160   \n",
       "2010-01-04   1.002389     1.000800    1.002389  1.002786      1.011522   \n",
       "2010-01-05   1.004993     1.002625    0.999205  1.002099      1.008676   \n",
       "\n",
       "             anxiety  ...  dayofweek-2  dayofweek-3  dayofweek-4  dayofweek-5  \\\n",
       "Date                  ...                                                       \n",
       "2010-01-01  1.003928  ...            0            0            1            0   \n",
       "2010-01-02  1.003485  ...            0            0            0            1   \n",
       "2010-01-03  1.003706  ...            0            0            0            0   \n",
       "2010-01-04  1.005566  ...            0            0            0            0   \n",
       "2010-01-05  1.001046  ...            0            0            0            0   \n",
       "\n",
       "            dayofweek-6  weekend  sunday  price_lag_7  price_rm  price_ewm  \n",
       "Date                                                                        \n",
       "2010-01-01            0        0       0          NaN       NaN  87.240684  \n",
       "2010-01-02            0        1       0          NaN       NaN  87.240684  \n",
       "2010-01-03            1        1       1          NaN       NaN  87.240684  \n",
       "2010-01-04            0        0       0          NaN       NaN  87.240684  \n",
       "2010-01-05            0        0       0          NaN       NaN  87.676330  \n",
       "\n",
       "[5 rows x 74 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stationarity for Each Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Adfuller test shows that...\n",
      "price is not stationary\n",
      "popularity is stationary for 1%, 5%, 10% significance level\n",
      "general_sentiment is stationary for 1%, 5%, 10% significance level\n",
      "positive_outlook is stationary for 1%, 5%, 10% significance level\n",
      "happiness is stationary for 1%, 5%, 10% significance level\n",
      "bittersweet is stationary for 1%, 5%, 10% significance level\n",
      "confidence is stationary for 1%, 5%, 10% significance level\n",
      "disgust is stationary for 1%, 5%, 10% significance level\n",
      "disagreement is stationary for 1%, 5%, 10% significance level\n",
      "anxiety is stationary for 1%, 5%, 10% significance level\n",
      "gloominess is stationary for 1%, 5%, 10% significance level\n",
      "distress is stationary for 1%, 5%, 10% significance level\n",
      "violent is stationary for 1%, 5%, 10% significance level\n",
      "unexpectedness is stationary for 1%, 5%, 10% significance level\n",
      "timeliness is stationary for 1%, 5%, 10% significance level\n",
      "confusion is stationary for 1%, 5%, 10% significance level\n",
      "feelingsVsTruth is stationary for 1%, 5%, 10% significance level\n",
      "buyVsSell is stationary for 1%, 5%, 10% significance level\n",
      "buyVsSellForecast is stationary for 1%, 5%, 10% significance level\n",
      "priceTrend is stationary for 1%, 5%, 10% significance level\n",
      "pricePrediction is stationary for 1%, 5%, 10% significance level\n",
      "volatile is stationary for 1%, 5%, 10% significance level\n",
      "consumptionCommodity is stationary for 1%, 5%, 10% significance level\n",
      "productionCommodity is stationary for 1%, 5%, 10% significance level\n",
      "regulatory is stationary for 1%, 5%, 10% significance level\n",
      "supplyDemandBalance is stationary for 1%, 5%, 10% significance level\n",
      "supplyDemandBalanceForecast is stationary for 1%, 5%, 10% significance level\n",
      "exploration is stationary for 1%, 5%, 10% significance level\n",
      "accidents is stationary for 1%, 5%, 10% significance level\n",
      "National_Holiday contains negative values\n",
      "Weekend contains negative values\n",
      "Holidays contains negative values\n",
      "happiness_Log contains negative values\n",
      "bittersweet_Log contains negative values\n",
      "disgust_Log contains negative values\n",
      "disagreement_Log contains negative values\n",
      "anxiety_Log contains negative values\n",
      "gloominess_Log contains negative values\n",
      "distress_Log contains negative values\n",
      "violent_Log contains negative values\n",
      "unexpectedness_Log contains negative values\n",
      "confusion_Log contains negative values\n",
      "buyVsSell_sqrt is stationary for 1%, 5%, 10% significance level\n",
      "pricePrediction_Log contains negative values\n",
      "volatile_Log contains negative values\n",
      "productionCommodity_Log contains negative values\n",
      "regulatory_Log contains negative values\n",
      "supplyDemandBalance_Log contains negative values\n",
      "exploration_Log contains negative values\n",
      "accidents_Log contains negative values\n",
      "month-1 contains negative values\n",
      "month-2 contains negative values\n",
      "month-3 contains negative values\n",
      "month-4 contains negative values\n",
      "month-5 contains negative values\n",
      "month-6 contains negative values\n",
      "month-7 contains negative values\n",
      "month-8 contains negative values\n",
      "month-9 contains negative values\n",
      "month-10 contains negative values\n",
      "month-11 contains negative values\n",
      "month-12 contains negative values\n",
      "dayofweek-0 contains negative values\n",
      "dayofweek-1 contains negative values\n",
      "dayofweek-2 contains negative values\n",
      "dayofweek-3 contains negative values\n",
      "dayofweek-4 contains negative values\n",
      "dayofweek-5 contains negative values\n",
      "dayofweek-6 contains negative values\n",
      "weekend contains negative values\n",
      "sunday contains negative values\n",
      "price_lag_7 contains missing values\n",
      "price_rm contains missing values\n",
      "price_ewm is not stationary\n"
     ]
    }
   ],
   "source": [
    "# import adfuller here\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "\n",
    "# plt.figure(figsize=(22,10))\n",
    "\n",
    "#Analyse each variable and ascertain if it is stationary so that it can be used for time series.\n",
    "i=1\n",
    "print(f\"\\nAdfuller test shows that...\", end=\"\\n\")\n",
    "for col in dff.columns:\n",
    "    \n",
    "    #Check for stationarity\n",
    "    if dff[col].min() > 0:\n",
    "        ts = dff[col]\n",
    "        subplt = int(str(9) + str(3) + str(i))\n",
    "        # plt.subplot(subplt)\n",
    "        # plt.title(col)\n",
    "        # plt.plot(ts.index,ts)\n",
    "\n",
    "        try:\n",
    "            ad = adfuller(ts)\n",
    "        except:\n",
    "            print(f\"{col} contains missing values\")\n",
    "            continue\n",
    "\n",
    "        report = col\n",
    "        report += \" is stationary for \" \n",
    "\n",
    "        if(ad[0] < ad[4]['1%']):\n",
    "            report += \"1%, \"\n",
    "\n",
    "        if(ad[0] < ad[4]['5%']):\n",
    "            report += \"5%, \"\n",
    "        \n",
    "        if(ad[0] < ad[4]['10%']):\n",
    "            report += \"10% \"\n",
    "        \n",
    "        report += \"significance level\"\n",
    "\n",
    "        if(not(ad[0] < ad[4]['1%'] and ad[0] < ad[4]['5%'] and ad[0] < ad[4]['10%'] )):\n",
    "            report = f\"{col} is not stationary\"\n",
    "\n",
    "        print(report)\n",
    "    else:\n",
    "        print(f\"{col} contains negative values\")\n",
    "            \n",
    "    #Differencing to make it stationary\n",
    "    \n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In-Depth Analysis by Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['price', 'popularity', 'general_sentiment', 'positive_outlook',\n",
       "       'happiness', 'bittersweet', 'confidence', 'disgust', 'disagreement',\n",
       "       'anxiety', 'gloominess', 'distress', 'violent', 'unexpectedness',\n",
       "       'timeliness', 'confusion', 'feelingsVsTruth', 'buyVsSell',\n",
       "       'buyVsSellForecast', 'priceTrend', 'pricePrediction', 'volatile',\n",
       "       'consumptionCommodity', 'productionCommodity', 'regulatory',\n",
       "       'supplyDemandBalance', 'supplyDemandBalanceForecast', 'exploration',\n",
       "       'accidents', 'National_Holiday', 'Weekend', 'Holidays', 'happiness_Log',\n",
       "       'bittersweet_Log', 'disgust_Log', 'disagreement_Log', 'anxiety_Log',\n",
       "       'gloominess_Log', 'distress_Log', 'violent_Log', 'unexpectedness_Log',\n",
       "       'confusion_Log', 'buyVsSell_sqrt', 'pricePrediction_Log',\n",
       "       'volatile_Log', 'productionCommodity_Log', 'regulatory_Log',\n",
       "       'supplyDemandBalance_Log', 'exploration_Log', 'accidents_Log',\n",
       "       'month-1', 'month-2', 'month-3', 'month-4', 'month-5', 'month-6',\n",
       "       'month-7', 'month-8', 'month-9', 'month-10', 'month-11', 'month-12',\n",
       "       'dayofweek-0', 'dayofweek-1', 'dayofweek-2', 'dayofweek-3',\n",
       "       'dayofweek-4', 'dayofweek-5', 'dayofweek-6', 'weekend', 'sunday',\n",
       "       'price_lag_7', 'price_rm', 'price_ewm'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above columns need to be explored in-depth as a time series"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Configurations for EDA on post-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Set which window we want to explore.\n",
    "dff = dff7 \n",
    "# dff = dff30\n",
    "# dff = dff365\n",
    "variable = \"price\" # Set the variable to explore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### EDA on Selected Configurations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1584x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gasoline Price between 2010 to 2018\n",
    "ts = dff[[variable]]\n",
    "plt.figure(figsize=(22,10))\n",
    "plt.plot(ts.index,ts[variable])\n",
    "plt.title(variable + \" of Gasoline\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(variable)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Additive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result1 = seasonal_decompose(ts, model='additive', period=7)\n",
    "result1.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Multiplicative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result2 = seasonal_decompose(ts, model='multiplicative', period=7)\n",
    "result2.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plot the Residuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result1.resid.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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In9BHn6ftn8F4DiaGf5UIr09axk3vfMNwH2kPqmtq+WHDNh63yi5auzlNad2J5zrb6hIQ8PCn8+lx60ggNC6X7NKYW3dUM33Z+kiDJkHlGPTQWIa+MDmpazgJQtG7VT3HM5XGwFvANcaYuGaHMWa4MaaPMaZP69atkxbiwU9iY8X9KImet31Mz9s+Tvp6NtOXr6dy2PtMXpqo01OHvc5qsi9stFLduqM6wvebxIlceXvqcg687SPPl/W+kd+6TptPFq/fn83IqUxhP7OSCIs+fnnbkk6mcXNbhGL91h2MXxyqj7e8Oytmfyaounmk59hX2JVFXT6qn7Z4G1l3vD+HfnePChtkmaoTXq+ksyG476N5bNxWjTGGw//+GVclyM//1uTlMe/q1a9O49RHIlficv6uLdurGZmGBR9NEIp+OdDR8b0DsAJARMoJKfmXjDH/DeBaEThnfN7/yby0zvX1wh+TWoXHZuz8UOUeNSc0iOilwL5a+GNyF4hzwstenMKA+8f4GqR1Ko54Vvi4hSHF4KXoH/5sAf/5emnCMn7wUmZ5argmhf0b7/soubqZyKIviaoPf3x9WkyZ+z9O711IlS2eobB1Rk5dhJH3eUdbqRBspZjtXl709ZzvkB3z/3mCMM/r3pjOgPvHRGyb+l1o0NfpunJe589vzuDSFyazYHUwvZcgFP27wAVW9E0/YIMxZqWEnLFPA3OMMf9K9qRj5nm7b658OXGCIUPI4vl49ipmu4SVORny5DjXbHzxsN83P4mFnA2I/RIn64OOrmzjF4UajGQXlIgnZ73yUFVIpgua2TEQe/H1uotU19Ryx3uzPVO45pIXxi3l8pdCXWzX9Bg+blqiuhQ9mcjNrZDvvaAb3/6GN61eoa/p+3ajkETk2aZtO6kc9n5S6SLq2tDE13E+wu3WnICKshKqa2rZGid9RTT22ExZidOtV3fi76wZ0Fu2Vwcyl8RPeOUrwNdAdxFZLiK/FZHLROQyq8gIYBGwAHgSuNzafhhwPnCMiEyz/gb5EWrDzzu54JnEixADTF/uES9v4NynxvG75ycx6KGxzEvF1eGBPVKeyApzhmwl67KJN1HKjsP3M4swejDwq4Vrw3lPbMVTvzwU2rXN56zEdPF7H5zv9uhv1/DUF4u52WOxjlxy0zvfMGJmqMvtVif8qKqVG2Kn3dv88pHEE2MA3piU2LV2+qNfZjVc95HPFsRss1dK8pWQq8Ru9O0t3gfZieGe/mJxxPYla7fEGEdrN2+nttaEja94MrlNuLfXCSgvFS57cTJVN4/0lA3qwqWdkTaRPe8Q67bu4MJnvXWhF54pEIwxQzz2G+AKl+1fkGIP/Lt1W2nno5zXyQ0mIgogejQ9We4eMYepy9bz5Pl9WLUxZFXalmdN2PeeWKrzn57A/DsHJlR0zpfwkc8WAvD21O+58pi9w9vLU1wizhAKY7S5+f9mcXxVW+qXhRqOez+cy+F7t2L/9k29z5VBXeGaQ8j675YbKC9xm3fk455d+bL/SWJOI2Leqk1MXLKOnz16ZVO+W5/VVAr/GPktp/VqzwffxPqcfa2OFDVes3rjdt6emrgxs9+vVRu2sWjNZrq0bswPG7bR/77RHNy5BT07NePXB3WkSf0yDr5rFH84tmvcc9kyuklqr9AmInwyx3+2zVoXfeE0DOyPQSV2K7qZsU6MAadBHJ0vZrNLGFloYPUn1m7eHnZjfL/+Z16fuIwnxixiwuJ1EeMBdtcwrOijzrdle3VMHooTHxgTo+grh70fnlV7hUvO6+/WbeWS/0wKfy9LYeUgcLcyl/y4hXqWRV9rQnl5ftqyI5wxMx6zV25kwmJ/g9A2fhsHu5hTEdgvfKFMHnO7115KOB1OefgLbnzbX28nkwn/3PjVY1+x3iWqywDfeqyDGj1j+PcvTeHa17zSK4eO2bS9mmP++TmfzF7FOmvgd/zidTzx+SIufGZCeDD749mr4p4p+k5FuhPd33sv3JbwzOQjKWhF77XeqaFubVSI9fHFcwG8PP47+tzxCRc8HeoyDRk+jr+8VZd/47mvlsQcE/a9Rz3x/W4ZyU3/Fxn5sHDNFlcfvW2dfRhntN05UOpnbOAHywVgjKNyxikfPcg39IVJXPbi5LA/PF5v6Mwnvo4vQBq4iVsSdpMFc42PZv2QsRTOkP1Bw0Q5ZKJ5bPTCDEoSy4o4OfZrjeGEB8a47rPxkxoCQhE8Fz4zgbWbt8e8h9e+Pi1mrkFNrQmf2xjjGenl5rpJ1ehwOy6TjW9BK3o3C8FJ9M10WvQ1tYYpcaY722loJiwJWasxi0X4uJYnLiaAZySKW16UWsOO6tqYdK0/76jhybGR/klwr8Ru1ojt8tpZU8uM5es5+K5RvDYx/TV4IyaI1Bq+XvgjxhhWb4pUBPbAlDPhm98X3g8LVm9m6AuTIxrwoJm4JLneTrqU+0yrAbG+61yRTALARA3Zj5u30+fOT/h83hqe/XJxTJ3etK2aP0UtsiIC9gT1Woeiv/ylKSxx5I6JibpxfK9OMdmgm77Y5S16Y0xEd+nHzduTdllAXTcL4IFP5rEkTiWLnorsZzZnEMrH+xyxeVFqjaHbXz+IyV4XbzFpt2u8My3+4sJrNm0P36cx8xPHSW/dUc0XjjIPfzqff0WF+jkv//zXSxjy5Dg+nr2K0x75KvJkjnK2T95+LGPnr005059TViCt/O5eeAYLBEwhTi4b61GnILa3Gc0bk5Zxw9szw8qzRMTXO7u9ujbca4/Wu1O+qzMCYyKDIhR96MuPjvkAXgu5b91R7dorzeTjKwhF3/n6EXS+fgQQUvoH3fEJ173u5aOL5WHH6P+4RfHj2aMriR87ya5k6bxsNbUmYQiZs/2Jdt1Ed0vjhW+6yffKhGUx2+zBulMe/pI/WJNBtsUJ81qwehN3vj+bYW/N5Lynx4eV530fzQuvah/NM18scSxuvClmgQenmP/PsrpLHc/Fzu/vh7k/bIwZ9Kvrsnsf/9XCtXw6N74PN18oQD3vybadNWGXXTz+/OaMCGtf8PfOrtuyI7zEYrQB5Dbg75aLaLHLim8DrbxDG7ft5NC7Y/MGxUvDnMlFeQpC0dtMWrIurNjedaR+9YtztfRE9zS6XvnJ/WF3MPw+KreKeMPbM9nrxhEJ5HJa9JHRPr4ugHvcNcC/o1ahcusmj4qz/ueFz0zkybGLwxNbEuXXt/l5Zw0L14QUvdtkN+fzCQ+UxflNT41dxGH3fMqbk5dTU2siUkWP/nY1Jz4wNm7IoR+P2zlPjufi5yZ5F3RwooffWfHHpS9M5vuf4oeb2jgHdFdt3J5wpqobzvBKgGGOdXkTuW5+7xI4sWjNFowx/PmN6a5jE+/NWOkqwxTHMpNBK/2CUvS/evzr8Mh5ukxKkI601Ee3L5paY7jwmQlh69cLt67lzhqTsAH6wTEgalvAzgqxbN1Waq1kUfFm1N09Yo7r9ngNgB9sWTZuc5/Cf+XLU1z9+/F8rpXD3mf2yjq3R60x1NQarn1tWkS592asYMv2au54fw7fr/+ZP70xndMe/ZLD//5ZWNnba+zOiVoAxGvZvnSZ6xFJkgkKJRopGT6ft8bXBDnnu/HapGXMTNK1V2uIa0jYd9VtMDYena8fwchZ3r1AZ0/i8c8zN0BecEsJJps8KBVe9LmIspOaWsPnPmbzBo3z3T7i3s+47Ki9XCuMXSwbs0qjfZrvzVjJezNWxiwflyil7YTFdQ1xrTF8PHtVeO6CzZUvT6VL60YR22ZYfvHJS3+ifbMGcRW5l9/XjT53fMyQvp247vjuSR+r5DeJxsfWbNrOu9NXZMQ1Fu+yG330ipOhoCx6yI7Vkso1vEI9o9nsscajX6JXpXGbSPLcV0vCFns2jL5aQ3gBEb9Eu8uckU61tXDZi+6Z+xa5+EghlDTqRcciH3a3fHt1DZXD3g/PDHZ7wWtqDf+bviKmkVi7eQf//nQBX8xfy63vzoqIzFAKG6/X19lTDyr/DKSWATYVCk7RZ3uih5/selC3IpJfPgtorUt7wWGbaKs3mmS7tKlgjAkPoPo+Jur7G44Mmak+8/GOyVzPfLmYyUt/ovtfPwRiV3py8vQXi7jqlam8HWdVpfOeHs9zXy2h/32jU5JLyT++X/+zd/ZK63+Qc0emZ2XZ0wJU9Pd99G1Wr9frdn8pjJOZ/lzs1Bp318ghd49iW5zQs0S6PHpGs1+27ayJmGtxoUv+JGNC+cRv+99sdlTXsmbTdt6aHFLwazZtp2uCwXEgYmZwdOSQUljEGyTNJH//cG5WrlNwPno7YZSSv7w3Y0WMKwZg5YZt4dw92eCTOasjGmC3lBcGOPzvn4W/fz5vdXgAt7rWeC7KfuYTX3PRYZXcMGhfDrvn02AEV/KSVA2OfKDgFL2S/zz75RLaN2uQazF84XQLLf1xS1jJg/+0uM9+uSSltQwUJVsUnOtGKQwKxY3hHMyNnieQzAIr6rpT8hlV9IoSh3xe4ERRkkEVvaIoSpGjil5RFKXIUUWvKIpS5PhZM/YZEVktIq6rdFiLgj8kIgtEZIaI9HbsO1FEvrX2DQtScEVRFMUffiz654ATE+wfCHS1/oYCjwGISCnwiLW/ChgiIlXpCKsoiqIkj6eiN8aMARItlXMq8LwJMQ5oJiLtgL7AAmPMImPMDuBVq6yiKIqSRYLw0bcHnCtXLLe2xduuKIqiZJEgFL1bLqB42Z3jTjUUkaEiMklEklvhQVEURUlIEIp+OdDR8b0DsCLBdleMMcONMX2MMX0CkElRFEWxCELRvwtcYEXf9AM2GGNWAhOBriLSWUQqgLOtsoqiKEoW8UxqJiKvAP2BViKyHLgFKAcwxjwOjAAGAQuArcBF1r5qEbkSGAmUAs8YY2Zl4DcoiqIoCfBU9MaYIR77DXBFnH0jCDUEiqIoSo7QmbGKEoerjtk71yIoSiCoold2SRqUl3qWOa/fnlmQRFEyjyp6pag5Yb82rtsfPbe363YnLqshKkpBooq+CKhfXviPsWfHZhk570k99kiq/LXHdQt/Fs/lopVdkVK3dTLznMLXEAqleWR6XnhI8u6Opg3K2bfdboHL8vA5vTj5wDpF//X1x4Q/mzhz9y4/eq/w5wJ8n5UUuSCJeluI1ULXjC0C3CyMitISdtTUZlWOk3q0Y//2TZM+LtRORSreA9o3Zeb3G9KSp1XjegBM+utxlJeU0LRheXifiTNHu7y0zvaRPGpAlcwSrz64USJCgkn+eYla9D44qlvrXIuQkOP3awtEDjD27NQsLR/zH47t6qvcrSfXJSQVkZSU4/qtO6mJWoh7z5YNkz5PPFo1rheh5MHfix3Pol901yAO7FDXoHVu1Yj5dw7kN4dWsnuTeumIqkTRr0uLXIsQg7OKt2/WIHeCJIEqeh/ke9u99+6NWXLPYObc7sgmbdJz6fxxQDfX7d3aNI74fuL+7Xyf07aw3YjufJREyf725YdycGf3l75Lq0b85cTuvuUAf880XqNVUiI0rl/XGT6jd3vKS0u49ZT96NgiuAYqaPLdYHEj2gDIB5zVolmUAZGvqKLPEY+f5x31kQ47a2tpUj94z9yO6kiN7Kz01R6uos//3J/Te7knMK2pjTy2LMqc7tWpedwB25IS4fL+e7PknsEJrw8w9MguALRoFP8FtX9TonbSqYBKS+peo38P6eUpQ64oxDGHnTWZU/RdWjcKfzYYbhy0r6/jnIP08XqGr196SFqyBY0qegfjbzg24vu+7XajoqyE6wfuw28OrQz0Wu2aBtflc3t/d1TX8urQ4Cvbvb86MPLajovvrKlNGAFUUVbCX0+KXXumV6dmHL3P7hHbSly0ktu2RHRp1Shm25+O785/Lu7LQXu2oEm9Mrq1acxnf+ofUca+SnSvwomzXXI2SnsUSFe+UKiuzd440+8sI8CLaCMkmltPrqLPns2DEIm/n3FAIOfJS0XvdSOD4KVLDo7Z1ma3+hHf2zWtz7w7BrJvu9249ZT9PM/Zobn7S36zi3JLxavy5xPc3RNu/uwd1bV0b9uE8tJg72Xfzi3CkSz//PWBEcpw792bMHD/dgwbuI/rsfFcSa0a1+PUnu09y154SCUHulj1rRpXhD8/eHZPzuvXiSX3DGb3qOcJocbGdmHM/NsJfHTtUXSOahBsl40AR3d3d3fsdCigoMPtWqufP0x1Bi16J15jNlc4orEuPSpxg1BaWpL2HIzJfz2O+XcO5KxfdOLLYcdwyeGd0zpfXir67m2bRHwfUOU+6SUd4vmLm9RL3d3x4Nk9Xbe7hW5VlCV/6684OnZK/n8vP9TVT37naSFLwK7AzvjwoCgrlQhFf93x3SgtES47ai/X8iUl7pHpbtuc1nub3ULPqm3T+vzfFYfFlH34nDo32Kk923PHL9OzgpwW/ePnHxTRkNg4XTdlATemqeCn3hZi/HeVR9jtkVkad3DW3MaOe+3WPlSUphaU4KRl43rhCLD2zRq49oSTIS8VfYkIZ/TuEP5eGVAExid/PCr8WQT22yO52O1Ez+7Da47goD3dBwvdHnqH5pG/ye/ofXRXrnenyC7iu1cexofXHEFfa+DSroi77+bPSvzv5Yfyn4v7AnDDoH1ce1dut6Fpg/KI0MR4uN1Dt232ZYcN3IfP/3x0wnMmGuRNBaePvl5Zqev5bd9xxxYNOC3OuEPK10/hGD92r/18/jrYny86H7jr9MSNtvNepeMJ8Lp/zjrqpcTLSmLfg8d8zMTOJHmp6AGuOa4uvK95o1iLKhX23r0xe+9eFzXy7pWHc3xUb+GpC+vWPTFR/blEUSyJZlFG7/n6+mNitt3o8+Xbe/cmCff36NCMfdrWNWD2b7DfAa/wv96dmoddG0OP3IvptxyfsLztQ43nIrq8v7t178Tt3tnWZ/2yEur7yEuTLiVCuCcS71k6f+MeTUNuoecvPpgm9Qsj8qLMUvTNGgbzPgWFM1TVycD923o++1pjEAkZJR//8agIQ8hpLELIFRtBEl6ho7q1Do/5lAiMu/5Yxl1/bIyOgNge3qPn9mbgAe7RaU59lEnyVtE7u+5N6pUx746B4e8v/+5g/vnrA90Oi0vTBpEvoxBSJg9FRUkc3KVl+HPfzi0j9iUanEtE9GHtmjaI2dasgT9lUZvMzA7q6rJthcSLVrtuQDfXqJVEP9kYaFgR6sbGSzXwlxMj/fVuSjT6Gk9d0Cd8r7PkomXR3YPDYwvt44y1vHPFYSy+exAA/zqrJw+f0yvGvx8EfqtZ190bc2afDt4FLWyLV4D92wc/E/n8FJPAnfmLjq7b/+HjHS8tERbfPZihR+5F51aNImZCR7t87TBkG789wVtPrqJPZQv67WXpAxHaNq1P2+iGw8LuOTWsCDVSR3RtFbF/zm11YdDZypCav4reWdlFInzah+7VKmkfdzzLtH55KRNvPI5R1x0Vs+/S6FH4BC9gopfTrasXrfAaevhYb7EmJjWqSG4MwW4XbEu+c6vk3GBe+V4a1ytjyk0DuCnKh/jwOb3cE4clcN08dm5vPr72SI6rahO26N0sJicTbjw24f5UeOV3/XhoSK+wNWkPjtYrKw0/y6YNypPOoxM0XVo34vL+qSmKl3/XL2BpYOABbZM+ZupNAzj3YPcGorHHO1HZsiF/P6NHxLbI+hpZd6Kr0qOOEOdE1cxElXFewS11R70o3RT9/jeoKI27D+Bll0CRdMlbRZ+p/C1uiqN1k3rs1Tq2CxUdzufHBdildSNO3M+7wkf/PK9zX3RYaNS9ao/deOqC5JfV7delJc9f3JdrkhyU9fMYWjSqiBnoO6nHHgyK012Nx8AD2tG1Tcg1ZZ8u0YSZitISdm/iblWlQ9um9TnFYRk+dHYv7j2jR9a62X4xpu75eDWITzrqjAjslqK7KcgZy5BcL3nsXyLHam4cXBUTKec8nddcK6dFf9jeLeOWs89zUo9QfXZO3LvrtAN49je/CH+/8ui96d89MlQ40S9023fo3q1ctqZH3ip6Z0uXCZWfSjvixw//6XX9OStOVzTe9Q/u3CKhRXHDoEj3x3EpRCGViHBkt9ZxX6xkPCTptMGug7Eu99VuZGtcbkyjisz77J00b1QR172QCeLVs+HnHxQzkOo3w6YxxrMx8EPQk/AkCQ0UPevYyzjq27lFhAESL5EdJM5yWmtp+sP2bsWSewaHjREIWef9HO7eP53Q3dEbTSwfZC8Vdh4revfP6XLGQSGfZiqRGunIMf3mSNeR8wV97dJD4lbBiw/rzNAjvQc0vbDre6LK7n5csDXR9WwuG+0eXa2LWTb2/x0Ts21X4Pj92kZMtDNkP2d+vIbljN4d+EVl8nlp0qlfB7gM4jpP16pxPRbeNSjl89u0ieOLd7umk65WupBEYa3R9zPoiZk2vhS9iJwoIt+KyAIRGeayv7mIvC0iM0Rkgojs79h3rYjMEpFvROQVEfHV1/aqAH7U1TO/iXVx/P6ovZh3x8CEkQdN6pVxnUuuF9uauf3U/bj9l/vH7E9EdFKt6Gcfz9oK6kW272d3yxq567QD+NeZdYNdzePk7AhakbiPV8SSaAwmn9Iyu5FuuKXfn5eMgR7UmHY8Q+GfZx7oK7w2Gvs9GH7+QUkf6+a2C2oNgfJSYdFdg3j+4r6c3COxCzLe83ruor688Nu+rpFDtnvXqQduPbnK18TMVPB8MiJSCjwCDASqgCEiEh29fwMwzRjTA7gAeNA6tj3wB6CPMWZ/oBQ425dgTove5eH56Ya6+d0lamDXjZl/O4GrXLI32grmmH3bxEQYJPsiRSu8bm2a0MIljDQolWZfrmXjeiy5ZzDnHNwpInb/nDgDYkFc/6VLDub6OLNlQ7LFXuV3R3Th/H57hscmMiZcBrj/rJ4ZO3fkrTIR3889uFMK50iOALw/EdgGyPH7taWty0zmVKlwaXSSkV0QSkpC7k6vuPl4RmmLRhUc0dV9QpfdYCYTn5+OAeGnCe4LLDDGLDLG7ABeBU6NKlMFjAIwxswFKkXEdiSXAQ1EpAxoCKzwI1iEjz7Fihm028HGbmT+c3HfcNhmvErkHKhxEi1ZIyt6JZp4+V3+cGxXhvT19hvbiZvcKpGdr/7wvVvF7V4GkZP9sL1bcWk4Rt3lGi7bGtUr4/Zf7k8jt8iLPFXw2Sa6ztkDpW5+dGOCseoz2ZkK4twVZSVcdczevOMyg9rtHR37l6OZ4MhxlYoy9St2i0YV4VQGdbJITOh3PO4/q2fKOXT8KPr2wDLH9+XWNifTgdMBRKQvsCfQwRjzPXAf8B2wEthgjPnI7SIiMlREJonIpDVr1kS2dP5+i8s54dmLfhHY9P/hF/ThjN4d2MPykx7VrXV4en5El9YhcHSyLqdsfohX7I8DunH36T3i7K3j9UsPcc3rA7B9Z0jRJ+rhJBIzWX8/+J8Zm+w58o0zenfguYvcG3kvkvl5zobYnpl9+6lubsW6ZxXkEokdWzRIK/GW0xgLSqrrju9Olc9Z7x1bNIzIiXS3PRM3CWH8GpRTbhoQTmWwm6XcG1SUcmpP/2G6yc6jsfGj6N1+RfTV7gGai8g04CpgKlAtIs0JWf+dgT2ARiJynttFjDHDjTF9jDF9WreOjA7ZJ8Vl5kpEOLr77lx9nL9FNLzYv31T/nnmgRFWdl1sbXLV1LelnGbtb9W4HofFCdfabqUcjo77jbi8hAaEAxQp9hoZLp8L/nnmgTFhdkFjiLwXB+3ZnLm3n0h/l0RsxgTjdok+xx+O6cpZv/DnMnLD2ZFMJqdVMj59e4DTj2HiFivvRSqGxy0nV3HzSVUc2bVVUs+lq8fM+Hj4UfTLAaePoANR7hdjzEZjzEXGmJ6EfPStgcXAccBiY8waY8xO4L/Aob4Ec9w8tzzkbv7saFJJHJYsdvif2zhUEIt2t8jgdPWDu7SgfnlJOEe7GyLCzSdHDsmkoy+cDaId2314HD9mIpmKmUS/z7nHmDofvf1M6peXuo9pRZw/ddkOj5rl+auD/M/MdcNp0EVPukvE8T7mqthcd3w3WjaqSKpn7+bjj0cq9bFJ/XIuPrwzIsLFh3dmz5YNfc07+dup+3GlldywS6tGnNfPXyPr59dMBLqKSGcRqSA0mPqus4CINLP2AVwCjDHGbCTksuknIg0ldDeOBeb4Esy6ec4BQ2eK2iO6tuaJ8w9ikDUbz1lJDunSkqcu6BN4sis37PA/t+5bKuFmTu48bX8uTjM9aSJaNa7H3NsH0isqMVomsXPjNKooZUBVG6bcNCBpZVHcat5/gruQRe86MSFu+XQ5dK9WzL+zLh1JtJKLF70FuKbadR5e5kO51i8vCecZ8kuT+uVMvmlARHqTeDSoKOXqY7vy5u992aOB0LlVIz7/89G+0lPXL6+L22/btD7d2viz8D3vrDGmGrgSGElISb9ujJklIpeJyGVWsX2BWSIyl1B0ztXWseOBN4EpwEzresP9CFa/vJR7z+jBa5fWTdV+67JDInLenLBf23CmOGcq2eaNylOaVJQKtkXvlrHOi33b7cY/fhXpZ3eGbZ578J4phaxlmnQUrd3Lsicg+emZxVy/yDX9E+cfxN9O2c/TPeGcGeskowOmkLBOjv7T0REzWD+85gjXBWDC54sS9gmP3zzrbydmfB7FtQO6xaRK94NXSuWgsF1QyQSb+JrmZowZAYyI2va44/PXgKsj3BhzC3CLb4kcRM9GdGvxnVbKL3vuwTvTVgQ62ORFjZV1y6nn/V79g6uPiNl2fr89uemdbwKQLPOk4vOtV1bK7NtOoH5Z6rNbs/l8c0HzRhVceGglc1ZuTFiu1hjfUUxNG5QHMjPWi6YNyyPmjOzTdjfO7tuRu0bM9XV8dEqDaPI1p/7/rjycTllaL9ieQyjinY3WJv/MxSRxVt5j982OFe/Enp2XbLKxRNx/1oG8eVl+rTkZJA0rypJeFtCN/Hzlg2Pfdrvx0bVHRmyLMeJsH70z6MvF0nMOyOfzGEc2GqNMcECHpjGTIjOFfY9EhBP2a+sr91Xwq0fniIjKm8V6fP9ZPZm3arNrzvxUX6jTeqU3wJUtcqUv8lhPBY6XD9Y17XOcsrlSocXeA8s2dltYIiEd48dNXfgWfY6v37CiLCYqKJFM2Vr6LBsUqPGVUy7vv5dr+KN/IkN7U/HRp6N2U5mEGB3WmCj6RauUN3YsfeA++kJAyL9KEv0Ypt08ILxQR6Hxt1P2Y8TMlUB+d/3zlcP2bsmXC36kbdP6rNm0PZBzOqOVIju0mQu7SSHmIAJ74Y9BB7Rlync/xexX48GbsI8+iWMKU+s4cakY+aqG8m0Jt2S48NBKLrQmnjSqFxpIzcY8hWLhrtMO4KLnJjLogHZMX7Yh7fMNqGrDL3u156ctO4DIvP2eFn0aL0gqCeXcGp6ubZpEpPvNJk+cf1Ba68vmGqeP3i8Fr+idyYHcUtrmhDwRI1MMG7gv7Zo2YOD+yS0sEjReKxDlE3u2bMSn1/UHgh1wtNcnTbRAi020C+W9qw7nj69PY96qzb6vl/mol8y/PCckMdkqH3FG3filcN4UD8ThvMm1a8EtM10x0bheGVccnZ21Lt2oX17KTSdVcUycPEL5Tqr5SiC2Ttkx7dVJWPQ2+7dvmvQ8hly/WwoQjqP3f0TBK3q3dyZfqmK+yFGM/DaDM4aDJnpFrCBsVrveu7kgnK6SAVVtGGxNra+uMTHHJNsJTsei93Mp9dF7Yze29ZKYi1Lwit6JVhIl33j5koOpjJoZGk+5VrZsyJIftyY8X7SadVO8zk3OtWLttNTOsZVk3Z2ZXvSlQ/PsTDoqZI7dZ3cuPbJLOPW3Hwpe0RuHvypfXCba4Cg2bgs9x3PdvP+HI/h5Z01S57etuyF9O8Vsi2ZHOFtpnSXYrW0TJi2NjX6JR6eAFwePpm2SeWx2RcpKS7h+0L7eBR0UfNjE0KO6UFFWQt/O6SUQywTqz1Tc2C3OAtuN6pV5JuI7omtr+ndvHbFI+II7B3LXaXU5kuLVupMPDOU9d668dsvJVbzhcxb2knsG+14kw4m+Brmn4C363p2aRyQ6ywfUolcScePgKl6ZsMy7oAsNKkp57qK+Eduic0DFU6xn/6IjZ/bpGOHuqVdW6ivL6u/7p79AvZI7Ct6id5LKogGZwNbzuZZDyU8yHRYarycpIikPpiar6JPJ565knoK36J3YlskZaS6GoChKHf26tGC3+sm5bCb+9Th2WoO/Su4pKkXfsUXD8BRrRVGCoXG95P3yqfjylcyh/asMUDdFOceCKLs0+6SweIYbXds09i6k5DVFZdHnH6rpldzw38sPpXPL+Cs7JcN1A/yvtZqIVIMUPr3uqMASwe2qqKLPABp0o+Sa3mmsA9ykXhmbtleHv/tZyzWTdGndmC6ttVeRDuq6ySDqulGCYJ+2TTipR/YSyN04OLnJOEr+40vRi8iJIvKtiCwQkWEu+5uLyNsiMkNEJojI/o59zUTkTRGZKyJzRKR418hTlAzw4TVH8vA5vbN2vXxckF5JD88nKiKlwCPAQKAKGCIiVVHFbgCmGWN6ABcADzr2PQh8aIzZBzgQmBOE4PmMTphSFCWf8NN09wUWGGMWGWN2AK8Cp0aVqQJGARhj5gKVItJGRHYDjgSetvbtMMasD0r4fMXOZZLpBFBK4fLyJQfnWoS8Rl+dYPEzGNsecM7XXg5E19LpwOnAFyLSF9gT6ADUAGuAZ0XkQGAycLUxZkv0RURkKDAUoFOnTtG7Cwp7EYjSUq2tijtuyc6KFXuyVbOG/mLrXxvaj/bNG2RSpF0OP4reTVtFOyfuAR4UkWnATGAqUA2UA72Bq4wx40XkQWAYcFPMCY0ZDgwH6NOnT0E7P9SiVwoZP9X2kC4tw0nSvDjjoA5sr6nlrD4dfZU/uEtLX+UU//hR9MsB5xPqAKxwFjDGbAQuApBQoo3F1l9DYLkxZrxV9E1Cir6osS36Al6WUlES8srQfr7LlpYI5/fbM4PSKF748dFPBLqKSGcRqQDOBt51FrAia+w1yS4BxhhjNhpjfgCWiUh3a9+xwOyAZM9bwopeNb1SIEy44ViOLdClGRVvPC16Y0y1iFwJjARKgWeMMbNE5DJr/+PAvsDzIlJDSJH/1nGKq4CXrIZgEZblX8yo60YpNHbfrT5NrDz5Wm2LD18zY40xI4ARUdsed3z+Guga59hpQB+3fcWKvVBzmQ7GKgVEQQ+MKQnRmREZoDa8vKEqekVRMs9DQ3ol3K+KPgPYCy6r60ZRlGxwikcElCr6DBD20etgrFJA1K3QpvW22NDslRnAjrpRg17xwxFdW3GmzxhzRUkFVfQZwLaM1HWj+OGF32o6BCWzqOsmA9QYjaNXChe1T4oPVfQZoG5mrL4xSuGg4ZXFiyr6DGDCg7E5FkRRFAVV9Bmhpjb0Xy16RVHyAVX0GaCxNZW8aQN/aVkVJR8wumJO0aJRNxnggkP2pFTgXM3YpxQgOqO7+FBFnwHKS0v4zWGdcy2GoigKoK4bRVGUokcVvaLkkH3aNsm1CGHUQ1+8qOtGUXLExBuPo1G90lyLEaZRRUiWCo0LLjpU0StKjmjdpF6uRYjgrydV0aF5QwZUtcm1KErAqKJXFAWA3eqX84djXdcPUgoc7aMpiqIUOb4UvYicKCLfisgCERnmsr+5iLwtIjNEZIKI7B+1v1REporIe0EJriiKovjDU9GLSCnwCDAQqAKGiEhVVLEbgGnGmB7ABcCDUfuvBuakL66iKIqSLH4s+r7AAmPMImPMDuBV4NSoMlXAKABjzFygUkTaAIhIB2Aw8FRgUiuKoii+8aPo2wPLHN+XW9ucTAdOBxCRvsCeQAdr3wPAX4DaRBcRkaEiMklEJq1Zs8aHWIqiKIof/Ch6t8QX0XMr7gGai8g04CpgKlAtIicBq40xk70uYowZbozpY4zp07p1ax9iKYqiKH7wE165HHAuaNkBWOEsYIzZCFwEIKGMSIutv7OBU0RkEFAf2E1EXjTGnBeA7IqiKIoP/Fj0E4GuItJZRCoIKe93nQVEpJm1D+ASYIwxZqMx5npjTAdjTKV13Keq5BVFUbKLp0VvjKkWkSuBkUAp8IwxZpaIXGbtfxzYF3heRGqA2cBvMyizoiiKkgS+ZsYaY0YAI6K2Pe74/DWQcEqdMWY0MDppCRVFUZS00JmxiqIoRY4qekVRlCJHFb2iKEqRo4peURSlyFFFryiKUuSoolcURSlyVNEriqIUOaroFUVRihxV9IqiKEWOKnpFUWI4o3cH70JKwaCKXlGUGP555oG5FkEJEFX0iqIoRY4qekVRlCJHFb2iKEqRo4peURSlyFFFryiKUuSoolcURSlyVNEriqIUOaroFUVRihxfil5EThSRb0VkgYgMc9nfXETeFpEZIjJBRPa3tncUkc9EZI6IzBKRq4P+AYqiKEpiPBW9iJQCjwADgSpgiIhURRW7AZhmjOkBXAA8aG2vBq4zxuwL9AOucDlWURRFySB+LPq+wAJjzCJjzA7gVeDUqDJVwCgAY8xcoFJE2hhjVhpjpljbNwFzgPaBSa8oiqJ44kfRtweWOb4vJ1ZZTwdOBxCRvsCeQERWJBGpBHoB490uIiJDRWSSiExas2aNL+EVRVEUb/woenHZZqK+3wM0F5FpwFXAVEJum9AJRBoDbwHXGGM2ul3EGDPcGNPHGNOndevWfmRXFEVRfFDmo8xyoKPjewdghbOApbwvAhARARZbf4hIOSEl/5Ix5r8ByKwoiqIkgR+LfiLQVUQ6i0gFcDbwrrOAiDSz9gFcAowxxmy0lP7TwBxjzL+CFFxRFEXxh6dFb4ypFpErgZFAKfCMMWaWiFxm7X8c2Bd4XkRqgNnAb63DDwPOB2Zabh2AG4wxI4L9GYqiKEo8/LhusBTziKhtjzs+fw10dTnuC9x9/IqiKEqW0JmxiqIoRY4qekVRlCLHl+tGUZRdj3/8qgd7tmyUazGUAFBFryiKK7/u09G7kFIQqOtGURSlyFFFryiKUuSoolcURSlyVNEriqIUOaroFUVRihxV9IqiKEWOKnpFUZQiRxW9oihKkSPGRK8hkntEZBPwrUexpsCGLJUBaAWszeL1/JQrZpn8lgtKpiCvl491Kh9l8luuUOtUtmXqboxp4rrHGJN3f8AkH2WGZ6tMtmVK4lxFK1PAz9hTpoCvl3d1Kh9lCvL55WOdyieZCtl1878slvFLkNcLSq5ClclvuXx8fiqT1qlkzpNxmfLVdTPJGNMn13I4UZn8oTL5Jx/lUpn8UWgy5atFPzzXArigMvlDZfJPPsqlMvmjoGTKS4teURRFCY58tegVRVGUgFBFryiKUuRkRdGLSEcR+UxE5ojILBG52treQkQ+FpH51v/m1vaWVvnNIvJw1LkOEpGZIrJARB4SkZQWHw9YpjtFZJmIbE5FlqBlEpGGIvK+iMy1znNPrmWy9n0oItOt8zwuIqW5lslxzndF5JtU5MmEXCIyWkS+FZFp1t/ueSBThYgMF5F5Vt06I5cyiUgTx/2ZJiJrReSBPLhPQySko2ZYdb5VKjIFip84z3T/gHZAb+tzE2AeUAXcCwyztg8D/m59bgQcDlwGPBx1rgnAIYAAHwAD80Cmftb5NufDfQIaAkdbnyuAsXlyn3az/gvwFnB2rmWy9p8OvAx8kw/Pz9o3GuiTZ+/e34A7rM8lQKtcyxR13snAkTl+98qA1fa9sY6/Nd3nmHY9yMlF4f+AAYRmv7Zz3Ohvo8r9JuomtgPmOr4PAZ7IpUxR+9JS9JmQydr/IPC7fJEJKCcUF3xWrmUCGgNfWC91Woo+YLlGE4CiD1imZUCjfJLJsa+rJZ/kUiarbq8B9iRk0DwODA36niX7l3UfvYhUAr2A8UAbY8xKAOu/V/e0PbDc8X25tS2XMmWEoGQSkWbAycCofJBJREYSsng2AW/mgUy3A/8EtqYrS8ByATxruSRuEknNRRmUTFY9ArhdRKaIyBsi0iaXMkUxBHjNWNo2VzIZY3YCvwdmAisIGRBPpytTumRV0YtIY0Jd9muMMRtTOYXLtrQebAAyBU5QMolIGfAK8JAxZlE+yGSMOYGQZVQPOCaXMolIT2BvY8zb6cgRtFwW5xpjDgCOsP7Oz7FMZUAH4EtjTG/ga+C+HMvk5GxCdT0tAqhT5YQUfS9gD2AGcH26cqVL1hS9dQPeAl4yxvzX2rxKRNpZ+9sRsvQSsZxQZbPpQKjVzKVMgRKwTMOB+caYB/JIJowx24B3gVNzLNMhwEEisoSQ+6abiIxOVaYA5cIY8731fxOh8YO+OZbpR0K9HrtRfAPonWOZ7HMdCJQZYyanKk+AMvUEMMYstHoXrwOHpiNXEGQr6kYIdV/mGGP+5dj1LnCh9flCQn6xuFhdp00i0s865wVex2RapiAJUiYRuYNQxrtr8kEmEWnseGHKgEHA3FzKZIx5zBizhzGmktDA2jxjTP9UZApSLhEpsyM1LOVzEpBSRFCA98oQGlfpb206FpidS5kcDCFNaz5Amb4HqkSktfV9ADAnHdkCIRsDAYReIkOoGzPN+hsEtCTkO55v/W/hOGYJsA7YTMiSr7K29yFU6RcCD5Pi4EvAMt1rfa+1/t+aS5kI9XQMoQpmn+eSHMvUBphonWcW8G9CVlhOn51jfyXpR90Eda8aEYogse/Vg0Bpru8VoQHGMda5RgGdci2TtW8RsE8+PDtr+2WE3r0ZhBrHlunIFsSfpkBQFEUpcnRmrKIoSpGjil5RFKXIUUWvKIpS5KiiVxRFKXJU0SuKohQ5quiVXR4RqbFSDcySUHbNP4pIwndDRCpF5Jxsyago6aCKXlHgZ2NMT2PMfoQmuAwCbvE4phJQRa8UBBpHr+zyiMhmY0xjx/cuhCZ3tSI0SegFQpOYAK40xnwlIuOAfYHFwH+Ah4B7CM0crQc8Yox5Ims/QlESoIpe2eWJVvTWtp+AfQhl2aw1xmwTka7AK8aYPiLSH/iTMeYkq/xQYHdjzB0iUg/4Evi1MWZxNn+LorhRlmsBFCVPsTOllgMPW5kua4BuccofD/QQkV9Z35sSypGuil7JOaroFSUKy3VTQyhT4S3AKuBAQmNa2+IdBlxljBmZFSEVJQl0MFZRHFhZBx8ntGqQIWSZrzTG1BLKCW+vc7uJ0JJzNiOB31vZJhGRbiLSCEXJA9SiVxRoICLTCLlpqgkNvtqpah8F3hKRXwOfAVus7TOAahGZDjxHKMNkJTDFSnm7BvhldsRXlMToYKyiKEqRo64bRVGUIkcVvaIoSpGjil5RFKXIUUWvKIpS5KiiVxRFKXJU0SuKohQ5qugVRVGKnP8PC2U2VDrl9QoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result2.resid.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Differentiate the Variable and Analyse It"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable: price\n",
      "ADF Statistic: -1.131435\n",
      "p-value: 0.702375\n",
      "Critical Values:\n",
      "\t1%: -3.432\n",
      "\t5%: -2.862\n",
      "\t10%: -2.567\n"
     ]
    }
   ],
   "source": [
    "print(f\"Variable: {variable}\")\n",
    "adtest = adfuller(ts[variable])\n",
    "print('ADF Statistic: %f' % adtest[0])\n",
    "print('p-value: %f' % adtest[1])\n",
    "print('Critical Values:')\n",
    "for key, value in adtest[4].items():\n",
    "    print('\\t%s: %.3f' % (key, value))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable: price\n",
      "ADF Statistic: -19.700727\n",
      "p-value: 0.000000\n",
      "Critical Values:\n",
      "\t1%: -3.432\n",
      "\t5%: -2.862\n",
      "\t10%: -2.567\n"
     ]
    }
   ],
   "source": [
    "print(f\"Variable: {variable}\")\n",
    "residual = result2.resid\n",
    "residual = residual[~np.isnan(residual)]\n",
    "adtest2 = adfuller(residual)\n",
    "print('ADF Statistic: %f' % adtest2[0])\n",
    "print('p-value: %f' % adtest2[1])\n",
    "print('Critical Values:')\n",
    "for key, value in adtest2[4].items():\n",
    "    print('\\t%s: %.3f' % (key, value))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_acf(residual, lags= 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_pacf(residual, lags= 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import adfuller here\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "\n",
    "# def a 'check_adfuller' function that takes in argument (ts) here. Print test statistic and p-value and  critical value.\n",
    "\n",
    "def check_adfuller(ts):\n",
    "    \"\"\"Performs the dickey-fuller test using the statsmodels tsa package.\"\"\"\n",
    "    return adfuller(ts)\n",
    "\n",
    "def check_mean_std (ts, w):\n",
    "    \"\"\" Get a rolling statistics of mean of ts, window size =6. Get rolling std of window size 6. \n",
    "    Return a plot showing the original ts, rolling mean and rolling std.\"\"\"\n",
    "    \n",
    "    # Calculate Rolling statistics\n",
    "    rolmean = ts.rolling(window=w).mean()\n",
    "    rolstd = ts.rolling(window=w).std()\n",
    "\n",
    "    # Plot the rolling mean & rolling std\n",
    "    plt.figure(figsize=(22,10))   \n",
    "    orig = plt.plot(ts, color='red',label='Original')\n",
    "    mean = plt.plot(rolmean, color='black', label='Rolling Mean')\n",
    "    std = plt.plot(rolstd, color='green', label = 'Rolling Std')\n",
    "    plt.xlabel(\"Date\")\n",
    "    plt.ylabel(variable)\n",
    "    plt.title('Rolling Mean & Standard Deviation')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1584x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "((-1.1314347899307127,\n",
       "  0.7023747038139981,\n",
       "  7,\n",
       "  3279,\n",
       "  {'1%': -3.4323458605158654,\n",
       "   '5%': -2.8624218526902547,\n",
       "   '10%': -2.567239428686678},\n",
       "  10716.826673955156),\n",
       " None)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Execute your check_adfuller function and check_mean_std here.\n",
    "check_adfuller(ts[variable]), check_mean_std(ts, 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1584x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts_diff = ts - ts.shift()\n",
    "plt.figure(figsize=(22,10))\n",
    "plt.plot(ts_diff)\n",
    "plt.title(\"Differencing method\") \n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Differencing Price\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1584x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(-20.188583941146053,\n",
       " 0.0,\n",
       " 6,\n",
       " 3279,\n",
       " {'1%': -3.4323458605158654,\n",
       "  '5%': -2.8624218526902547,\n",
       "  '10%': -2.567239428686678},\n",
       " 10713.835268103026)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_diff.dropna(inplace=True) # due to shifting there is nan values\n",
    "\n",
    "# check stationarity: mean, variance(std)and adfuller test\n",
    "check_mean_std(ts_diff, 7)\n",
    "check_adfuller(ts_diff[variable])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\statsmodels\\tsa\\stattools.py:667: FutureWarning: fft=True will become the default after the release of the 0.12 release of statsmodels. To suppress this warning, explicitly set fft=False.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from statsmodels.tsa.stattools import acf, pacf, ccf\n",
    "ts_y = dff[variable]\n",
    "\n",
    "lag_acf = acf(ts[variable], nlags=20)\n",
    "lag_pacf = pacf(ts[variable], nlags=20, method='ols')\n",
    "lag_ccf = ccf(x=ts[variable], y=ts_y) #To see how many lags is relevant to our independent variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1584x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ACF Plot \n",
    "plt.figure(figsize=(22,10))\n",
    "\n",
    "plt.subplot(131) \n",
    "plt.plot(lag_acf)\n",
    "plt.axhline(y=0,linestyle='--',color='gray')\n",
    "plt.axhline(y=-1.96/np.sqrt(len(ts_diff)),linestyle='--',color='gray')\n",
    "plt.axhline(y=1.96/np.sqrt(len(ts_diff)),linestyle='--',color='gray')\n",
    "plt.title('Autocorrelation Function')\n",
    "\n",
    "# PACF Plot\n",
    "plt.subplot(132)\n",
    "plt.plot(lag_pacf)\n",
    "plt.axhline(y=0,linestyle='--',color='gray')\n",
    "plt.axhline(y=-1.96/np.sqrt(len(ts_diff)),linestyle='--',color='gray')\n",
    "plt.axhline(y=1.96/np.sqrt(len(ts_diff)),linestyle='--',color='gray')\n",
    "plt.title('Partial Autocorrelation Function')\n",
    "plt.tight_layout()\n",
    "\n",
    "# CCF Plot\n",
    "plt.subplot(133)\n",
    "plt.plot(lag_ccf)\n",
    "plt.axhline(y=0,linestyle='--',color='gray')\n",
    "plt.axhline(y=-1.96/np.sqrt(len(ts_diff)),linestyle='--',color='gray')\n",
    "plt.axhline(y=1.96/np.sqrt(len(ts_diff)),linestyle='--',color='gray')\n",
    "plt.title('Cross Correlation Function')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### VAR-Related EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Granger Causality Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.stattools import grangercausalitytests\n",
    "maxlag=12\n",
    "test = 'ssr_chi2test'\n",
    "def grangers_causation_matrix(data, variables, test='ssr_chi2test', verbose=False):    \n",
    "    \"\"\"Check Granger Causality of all possible combinations of the Time series.\n",
    "    The rows are the response variable, columns are predictors. The values in the table \n",
    "    are the P-Values. P-Values lesser than the significance level (0.05), implies \n",
    "    the Null Hypothesis that the coefficients of the corresponding past values is \n",
    "    zero, that is, the X does not cause Y can be rejected.\n",
    "\n",
    "    data      : pandas dataframe containing the time series variables\n",
    "    variables : list containing names of the time series variables.\n",
    "    \"\"\"\n",
    "    dff = pd.DataFrame(np.zeros((len(variables), len(variables))), columns=variables, index=variables)\n",
    "    for c in df.columns:\n",
    "        for r in df.index:\n",
    "            test_result = grangercausalitytests(data[[r, c]], maxlag=maxlag, verbose=False)\n",
    "            p_values = [round(test_result[i+1][0][test][1],4) for i in range(maxlag)]\n",
    "            if verbose: print(f'Y = {r}, X = {c}, P Values = {p_values}')\n",
    "            min_p_value = np.min(p_values)\n",
    "            df.loc[r, c] = min_p_value\n",
    "    dff.columns = [var + '_x' for var in variables]\n",
    "    dff.index = [var + '_y' for var in variables]\n",
    "    return dff\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th colspan=\"9\" halign=\"left\">popularity</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">price_ewm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <th></th>\n",
       "      <th>39.3004351694721</th>\n",
       "      <th>40.1703138662842</th>\n",
       "      <th>42.4216412220086</th>\n",
       "      <th>43.1837543195343</th>\n",
       "      <th>43.2403720357558</th>\n",
       "      <th>43.5173135856184</th>\n",
       "      <th>43.5263115131684</th>\n",
       "      <th>43.567170738996</th>\n",
       "      <th>43.8944557747719</th>\n",
       "      <th>...</th>\n",
       "      <th>137.85573838872</th>\n",
       "      <th>137.877051563708</th>\n",
       "      <th>137.965657561517</th>\n",
       "      <th>138.174443375244</th>\n",
       "      <th>138.315259402925</th>\n",
       "      <th>138.431290873992</th>\n",
       "      <th>138.61793940368</th>\n",
       "      <th>138.928643336163</th>\n",
       "      <th>140.09108753582</th>\n",
       "      <th>141.53182057547</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-01-02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-01-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-01-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-01-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3282</th>\n",
       "      <td>2018-12-27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3283</th>\n",
       "      <td>2018-12-28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3284</th>\n",
       "      <td>2018-12-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3285</th>\n",
       "      <td>2018-12-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3286</th>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3287 rows × 164397 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       popularity                                    \\\n",
       "price            39.3004351694721 40.1703138662842 42.4216412220086   \n",
       "0     2010-01-01              NaN              NaN              NaN   \n",
       "1     2010-01-02              NaN              NaN              NaN   \n",
       "2     2010-01-03              NaN              NaN              NaN   \n",
       "3     2010-01-04              NaN              NaN              NaN   \n",
       "4     2010-01-05              NaN              NaN              NaN   \n",
       "...          ...              ...              ...              ...   \n",
       "3282  2018-12-27              NaN              NaN              NaN   \n",
       "3283  2018-12-28              NaN              NaN              NaN   \n",
       "3284  2018-12-29              NaN              NaN              NaN   \n",
       "3285  2018-12-30              NaN              NaN              NaN   \n",
       "3286  2018-12-31              NaN              NaN              NaN   \n",
       "\n",
       "                                                                           \\\n",
       "price 43.1837543195343 43.2403720357558 43.5173135856184 43.5263115131684   \n",
       "0                  NaN              NaN              NaN              NaN   \n",
       "1                  NaN              NaN              NaN              NaN   \n",
       "2                  NaN              NaN              NaN              NaN   \n",
       "3                  NaN              NaN              NaN              NaN   \n",
       "4                  NaN              NaN              NaN              NaN   \n",
       "...                ...              ...              ...              ...   \n",
       "3282               NaN              NaN              NaN              NaN   \n",
       "3283               NaN              NaN              NaN              NaN   \n",
       "3284               NaN              NaN              NaN              NaN   \n",
       "3285               NaN              NaN              NaN              NaN   \n",
       "3286               NaN              NaN              NaN              NaN   \n",
       "\n",
       "                                        ...       price_ewm                   \\\n",
       "price 43.567170738996 43.8944557747719  ... 137.85573838872 137.877051563708   \n",
       "0                 NaN              NaN  ...             NaN              NaN   \n",
       "1                 NaN              NaN  ...             NaN              NaN   \n",
       "2                 NaN              NaN  ...             NaN              NaN   \n",
       "3                 NaN              NaN  ...             NaN              NaN   \n",
       "4                 NaN              NaN  ...             NaN              NaN   \n",
       "...               ...              ...  ...             ...              ...   \n",
       "3282              NaN              NaN  ...             NaN              NaN   \n",
       "3283              NaN              NaN  ...             NaN              NaN   \n",
       "3284              NaN              NaN  ...             NaN              NaN   \n",
       "3285              NaN              NaN  ...             NaN              NaN   \n",
       "3286              NaN              NaN  ...             NaN              NaN   \n",
       "\n",
       "                                                                           \\\n",
       "price 137.965657561517 138.174443375244 138.315259402925 138.431290873992   \n",
       "0                  NaN              NaN              NaN              NaN   \n",
       "1                  NaN              NaN              NaN              NaN   \n",
       "2                  NaN              NaN              NaN              NaN   \n",
       "3                  NaN              NaN              NaN              NaN   \n",
       "4                  NaN              NaN              NaN              NaN   \n",
       "...                ...              ...              ...              ...   \n",
       "3282               NaN              NaN              NaN              NaN   \n",
       "3283               NaN              NaN              NaN              NaN   \n",
       "3284               NaN              NaN              NaN              NaN   \n",
       "3285               NaN              NaN              NaN              NaN   \n",
       "3286               NaN              NaN              NaN              NaN   \n",
       "\n",
       "                                                                        \n",
       "price 138.61793940368 138.928643336163 140.09108753582 141.53182057547  \n",
       "0                 NaN              NaN             NaN             NaN  \n",
       "1                 NaN              NaN             NaN             NaN  \n",
       "2                 NaN              NaN             NaN             NaN  \n",
       "3                 NaN              NaN             NaN             NaN  \n",
       "4                 NaN              NaN             NaN             NaN  \n",
       "...               ...              ...             ...             ...  \n",
       "3282              NaN              NaN             NaN             NaN  \n",
       "3283              NaN              NaN             NaN             NaN  \n",
       "3284              NaN              NaN             NaN             NaN  \n",
       "3285              NaN              NaN             NaN             NaN  \n",
       "3286              NaN              NaN             NaN             NaN  \n",
       "\n",
       "[3287 rows x 164397 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the time series data to long table format\n",
    "wide_df = dff.pivot(columns = 'price')\n",
    "wide_df = wide_df.reset_index(level = ['Date'])\n",
    "wide_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Length mismatch: Expected axis has 164397 elements, new values have 3 elements",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\ASADUL~1.QAM\\AppData\\Local\\Temp/ipykernel_15640/3077496811.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mwide_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwide_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdroplevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0mwide_df\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mwide_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'item1'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'item2'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0mwide_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minplace\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, value)\u001b[0m\n\u001b[0;32m   5586\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5587\u001b[0m             \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5588\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   5589\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5590\u001b[0m             \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\pandas\\_libs\\properties.pyx\u001b[0m in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_set_axis\u001b[1;34m(self, axis, labels)\u001b[0m\n\u001b[0;32m    767\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_set_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mIndex\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    768\u001b[0m         \u001b[0mlabels\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mensure_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 769\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    770\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_clear_item_cache\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    771\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals\\managers.py\u001b[0m in \u001b[0;36mset_axis\u001b[1;34m(self, axis, new_labels)\u001b[0m\n\u001b[0;32m    212\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mset_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_labels\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mIndex\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    213\u001b[0m         \u001b[1;31m# Caller is responsible for ensuring we have an Index object.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 214\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_set_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_labels\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    215\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnew_labels\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    216\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals\\base.py\u001b[0m in \u001b[0;36m_validate_set_axis\u001b[1;34m(self, axis, new_labels)\u001b[0m\n\u001b[0;32m     67\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     68\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mnew_len\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mold_len\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 69\u001b[1;33m             raise ValueError(\n\u001b[0m\u001b[0;32m     70\u001b[0m                 \u001b[1;34mf\"Length mismatch: Expected axis has {old_len} elements, new \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     71\u001b[0m                 \u001b[1;34mf\"values have {new_len} elements\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Length mismatch: Expected axis has 164397 elements, new values have 3 elements"
     ]
    }
   ],
   "source": [
    "wide_df.columns = wide_df.columns.droplevel(0)\n",
    "wide_df\n",
    "wide_df.columns = ['date', 'item1', 'item2']\n",
    "wide_df.set_index('Date', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "MemoryError",
     "evalue": "Unable to allocate 201. GiB for an array with shape (164397, 164397) and data type float64",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mMemoryError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\ASADUL~1.QAM\\AppData\\Local\\Temp/ipykernel_20180/1728196484.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mgrangers_causation_matrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwide_df\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvariables\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwide_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\Users\\ASADUL~1.QAM\\AppData\\Local\\Temp/ipykernel_20180/32186391.py\u001b[0m in \u001b[0;36mgrangers_causation_matrix\u001b[1;34m(data, variables, test, verbose)\u001b[0m\n\u001b[0;32m     12\u001b[0m     \u001b[0mvariables\u001b[0m \u001b[1;33m:\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mcontaining\u001b[0m \u001b[0mnames\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mtime\u001b[0m \u001b[0mseries\u001b[0m \u001b[0mvariables\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     13\u001b[0m     \"\"\"\n\u001b[1;32m---> 14\u001b[1;33m     \u001b[0mdff\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvariables\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvariables\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvariables\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvariables\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     15\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     16\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mr\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMemoryError\u001b[0m: Unable to allocate 201. GiB for an array with shape (164397, 164397) and data type float64"
     ]
    }
   ],
   "source": [
    "grangers_causation_matrix(wide_df, variables = wide_df.columns)        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cointegration test\n",
    "Cointegration test helps to establish the presence of a statistically significant connection between two or more time series.\n",
    "Order of `integration(d)` is nothing but the number of differencing required to make a non-stationary time series stationary.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.vector_ar.vecm import coint_johansen\n",
    "\n",
    "def cointegration_test(df, alpha=0.05): \n",
    "    \"\"\"Perform Johanson's Cointegration Test and Report Summary\"\"\"\n",
    "    out = coint_johansen(df,-1,5)\n",
    "    d = {'0.90':0, '0.95':1, '0.99':2}\n",
    "    traces = out.lr1\n",
    "    cvts = out.cvt[:, d[str(1-alpha)]]\n",
    "    def adjust(val, length= 6): return str(val).ljust(length)\n",
    "\n",
    "    # Summary\n",
    "    print('Name   ::  Test Stat > C(95%)    =>   Signif  \\n', '--'*20)\n",
    "    for col, trace, cvt in zip(df.columns, traces, cvts):\n",
    "        print(adjust(col), ':: ', adjust(round(trace,2), 9), \">\", adjust(cvt, 8), ' =>  ' , trace > cvt)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\asadullahqamar.qamar\\Anaconda3\\lib\\site-packages\\statsmodels\\tsa\\vector_ar\\vecm.py:577: HypothesisTestWarning: Critical values are only available for time series with 12 variables at most.\n",
      "  warnings.warn(\"Critical values are only available for time series \"\n"
     ]
    }
   ],
   "source": [
    "cointegration_test(wide_df)"
   ]
  }
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