Time_seriese_missing_values.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load Data\n",
    "========"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>reference</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-01-15</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-02-15</td>\n",
       "      <td>18.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-03-15</td>\n",
       "      <td>22.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-04-15</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-05-15</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  reference  target\n",
       "0 2010-01-15       12.0    12.0\n",
       "1 2010-02-15       18.0    18.0\n",
       "2 2010-03-15       22.0    22.0\n",
       "3 2010-04-15       26.0    26.0\n",
       "4 2010-05-15       31.0     NaN"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "data=pd.read_csv(\"https://raw.githubusercontent.com/drnesr/WaterConsumption/master/data/SampleData.csv\")\n",
    "data.head()\n",
    "data[\"Date\"]=pd.to_datetime(data[\"Date\"])\n",
    "data.set_index(\"Date\")\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fill Missing Values\n",
    "==================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.isnull().sum()\n",
    "data[\"mean_fill\"]=data[\"target\"].fillna(data[\"target\"].mean())\n",
    "data[\"median_fill\"]=data[\"target\"].fillna(data[\"target\"].median())\n",
    "data[\"moving_avg_fill\"]=data[\"target\"].fillna(data[\"target\"].rolling(25,min_periods=1,).mean())\n",
    "data[\"linear\"]=data[\"target\"].fillna(data[\"target\"].interpolate(method='linear'))\n",
    "data[\"spline\"]=data[\"target\"].fillna(data[\"target\"].interpolate(method='spline',order=5))\n",
    "data[\"polynomial\"]=data[\"target\"].fillna(data[\"target\"].interpolate(method='polynomial', order=5))\n",
    "#data[\"time\"]=data[\"target\"].fillna(data[\"target\"].interpolate(method='time'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>moving_avg_fill</th>\n",
       "      <th>target</th>\n",
       "      <th>reference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>45.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>45.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>43.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>43.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.306754</td>\n",
       "      <td>13.306754</td>\n",
       "      <td>13.306754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>18.531384</td>\n",
       "      <td>18.531384</td>\n",
       "      <td>18.531384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>21.671861</td>\n",
       "      <td>21.671861</td>\n",
       "      <td>21.671861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23.787254</td>\n",
       "      <td>23.787254</td>\n",
       "      <td>23.787254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>30.911899</td>\n",
       "      <td>30.911899</td>\n",
       "      <td>30.911899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>37.159990</td>\n",
       "      <td>37.159990</td>\n",
       "      <td>37.159990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.736826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>44.304235</td>\n",
       "      <td>44.304235</td>\n",
       "      <td>44.304235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>33.239215</td>\n",
       "      <td>33.239215</td>\n",
       "      <td>33.239215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>27.344125</td>\n",
       "      <td>27.344125</td>\n",
       "      <td>27.344125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>18.607209</td>\n",
       "      <td>18.607209</td>\n",
       "      <td>18.607209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15.192154</td>\n",
       "      <td>15.192154</td>\n",
       "      <td>15.192154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>14.646198</td>\n",
       "      <td>14.646198</td>\n",
       "      <td>14.646198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>18.832522</td>\n",
       "      <td>18.832522</td>\n",
       "      <td>18.832522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>22.954727</td>\n",
       "      <td>22.954727</td>\n",
       "      <td>22.954727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>22.127960</td>\n",
       "      <td>22.127960</td>\n",
       "      <td>22.127960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>32.993522</td>\n",
       "      <td>32.993522</td>\n",
       "      <td>32.993522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>37.108180</td>\n",
       "      <td>37.108180</td>\n",
       "      <td>37.108180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>46.457679</td>\n",
       "      <td>46.457679</td>\n",
       "      <td>46.457679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.370819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.323225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>27.740448</td>\n",
       "      <td>27.740448</td>\n",
       "      <td>27.740448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>20.345733</td>\n",
       "      <td>20.345733</td>\n",
       "      <td>20.345733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>9.524127</td>\n",
       "      <td>9.524127</td>\n",
       "      <td>9.524127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.279490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>17.853348</td>\n",
       "      <td>17.853348</td>\n",
       "      <td>17.853348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>23.181673</td>\n",
       "      <td>23.181673</td>\n",
       "      <td>23.181673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>23.256983</td>\n",
       "      <td>23.256983</td>\n",
       "      <td>23.256983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>27.197024</td>\n",
       "      <td>27.197024</td>\n",
       "      <td>27.197024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>38.392753</td>\n",
       "      <td>38.392753</td>\n",
       "      <td>38.392753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>44.093244</td>\n",
       "      <td>44.093244</td>\n",
       "      <td>44.093244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>45.498624</td>\n",
       "      <td>45.498624</td>\n",
       "      <td>45.498624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.239819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>26.273242</td>\n",
       "      <td>26.273242</td>\n",
       "      <td>26.273242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.950309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>7.942506</td>\n",
       "      <td>7.942506</td>\n",
       "      <td>7.942506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>17.604068</td>\n",
       "      <td>17.604068</td>\n",
       "      <td>17.604068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.193831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.063382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>25.717111</td>\n",
       "      <td>25.717111</td>\n",
       "      <td>25.717111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>27.247949</td>\n",
       "      <td>27.247949</td>\n",
       "      <td>27.247949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>37.756285</td>\n",
       "      <td>37.756285</td>\n",
       "      <td>37.756285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.140362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>44.550281</td>\n",
       "      <td>44.550281</td>\n",
       "      <td>44.550281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>31.099088</td>\n",
       "      <td>31.099088</td>\n",
       "      <td>31.099088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>26.803926</td>\n",
       "      <td>26.803926</td>\n",
       "      <td>26.803926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>21.054759</td>\n",
       "      <td>21.054759</td>\n",
       "      <td>21.054759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>6.500000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>6.412375</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    moving_avg_fill     target  reference\n",
       "0         12.000000  12.000000  12.000000\n",
       "1         18.000000  18.000000  18.000000\n",
       "2         22.000000  22.000000  22.000000\n",
       "3         26.000000  26.000000  26.000000\n",
       "4               NaN        NaN  31.000000\n",
       "5               NaN        NaN  38.000000\n",
       "6         45.000000  45.000000  45.000000\n",
       "7         43.000000  43.000000  43.000000\n",
       "8               NaN        NaN  35.000000\n",
       "9         29.000000  29.000000  29.000000\n",
       "10              NaN        NaN  21.000000\n",
       "11        17.000000  17.000000  17.000000\n",
       "12        13.306754  13.306754  13.306754\n",
       "13        18.531384  18.531384  18.531384\n",
       "14        21.671861  21.671861  21.671861\n",
       "15        23.787254  23.787254  23.787254\n",
       "16        30.911899  30.911899  30.911899\n",
       "17        37.159990  37.159990  37.159990\n",
       "18              NaN        NaN  43.736826\n",
       "19        44.304235  44.304235  44.304235\n",
       "20        33.239215  33.239215  33.239215\n",
       "21        27.344125  27.344125  27.344125\n",
       "22        18.607209  18.607209  18.607209\n",
       "23        15.192154  15.192154  15.192154\n",
       "24        14.646198  14.646198  14.646198\n",
       "25        18.832522  18.832522  18.832522\n",
       "26        22.954727  22.954727  22.954727\n",
       "27        22.127960  22.127960  22.127960\n",
       "28        32.993522  32.993522  32.993522\n",
       "29        37.108180  37.108180  37.108180\n",
       "..              ...        ...        ...\n",
       "66        46.457679  46.457679  46.457679\n",
       "67              NaN        NaN  43.370819\n",
       "68              NaN        NaN  30.323225\n",
       "69        27.740448  27.740448  27.740448\n",
       "70        20.345733  20.345733  20.345733\n",
       "71         9.524127   9.524127   9.524127\n",
       "72              NaN        NaN  17.279490\n",
       "73        17.853348  17.853348  17.853348\n",
       "74        23.181673  23.181673  23.181673\n",
       "75        23.256983  23.256983  23.256983\n",
       "76        27.197024  27.197024  27.197024\n",
       "77        38.392753  38.392753  38.392753\n",
       "78        44.093244  44.093244  44.093244\n",
       "79        45.498624  45.498624  45.498624\n",
       "80              NaN        NaN  31.239819\n",
       "81        26.273242  26.273242  26.273242\n",
       "82              NaN        NaN  19.950309\n",
       "83         7.942506   7.942506   7.942506\n",
       "84        17.604068  17.604068  17.604068\n",
       "85              NaN        NaN  18.193831\n",
       "86              NaN        NaN  22.063382\n",
       "87        25.717111  25.717111  25.717111\n",
       "88        27.247949  27.247949  27.247949\n",
       "89        37.756285  37.756285  37.756285\n",
       "90              NaN        NaN  45.140362\n",
       "91        44.550281  44.550281  44.550281\n",
       "92        31.099088  31.099088  31.099088\n",
       "93        26.803926  26.803926  26.803926\n",
       "94        21.054759  21.054759  21.054759\n",
       "95         6.500000   6.500000   6.412375\n",
       "\n",
       "[96 rows x 3 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[[\"moving_avg_fill\",\"target\",\"reference\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualize different results using different methods\n",
    "============================"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'polynomial')"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statsmodels.graphics.tsaplots import plot_acf\n",
    "figure,ax=plt.subplots(nrows=4, ncols=2, figsize=(15,20))\n",
    "ax[0,0].plot(data[\"Date\"],data[\"target\"])\n",
    "ax[0,0].set_title(\"Missing Values\")\n",
    "ax[0,1].plot(data[\"Date\"],data[\"reference\"])\n",
    "ax[0,1].set_title(\"Reference\")\n",
    "ax[1,0].plot(data[\"Date\"],data[\"mean_fill\"])\n",
    "ax[1,0].set_title(\"mean_fill\")\n",
    "ax[1,1].plot(data[\"Date\"],data[\"moving_avg_fill\"])\n",
    "ax[1,1].set_title(\"moving_avg_fill\")\n",
    "ax[2,0].plot(data[\"Date\"],data[\"median_fill\"])\n",
    "ax[2,0].set_title(\"median_fill\")\n",
    "ax[2,1].plot(data[\"Date\"],data[\"linear\"])\n",
    "ax[2,1].set_title(\"linear\")\n",
    "ax[3,0].plot(data[\"Date\"],data[\"spline\"])\n",
    "ax[3,0].set_title(\"spline\")\n",
    "ax[3,1].plot(data[\"Date\"],data[\"polynomial\"])\n",
    "ax[3,1].set_title(\"polynomial\")\n",
    "#ax[4,0].plot(data[\"Date\"],data[\"time\"])\n",
    "#ax[4,0].set_title(\"time\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f4be44df4a8>]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.plot(data[\"Date\"],data[\"spline\"].rolling(window=10).mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plot_acf(data[\"spline\"])# Data is not stationary\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4ca5c4c240>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "data[\"spline\"].diff(periods=1).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "create Dataset and model\n",
    "==========="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(96,)\n",
      "(61, 15, 1) (61, 1)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "def create_dataset(data, time_steps=1):\n",
    "    Xs, ys = [], []\n",
    "    for i in range(len(data) - time_steps-1):\n",
    "        v = data[i:(i + time_steps)]\n",
    "        Xs.append(v)\n",
    "        ys.append(data[i + time_steps])\n",
    "    return np.array(Xs), np.array(ys)\n",
    "\n",
    "#time step or look back\n",
    "tstep=15\n",
    "X=np.array(data[\"spline\"]).astype(np.float)\n",
    "print(X.shape)\n",
    "X = np.reshape(X, (-1, 1)) # need to reshape since it has single feature\n",
    "scaler = StandardScaler()\n",
    "X = scaler.fit_transform(X)\n",
    "n_samples_split=int(len(X)*0.2)\n",
    "x_train=X[:-n_samples_split]\n",
    "x_test=X[-n_samples_split:]\n",
    "\n",
    "X_train, Y_train = create_dataset(x_train, tstep)\n",
    "X_test, Y_test = create_dataset(x_test, tstep)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "print(X_train.shape, Y_train.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import Sequential\n",
    "from tensorflow.keras.layers import LSTM, Dense, Dropout\n",
    "import tensorflow.keras as keras\n",
    "\n",
    "#cell, input gate, an output gate and a forget gate\n",
    "model=Sequential()\n",
    "model.add(LSTM(units=128, input_shape=(X_train.shape[1],X_train.shape[2]), return_sequences=True)) ##stake of LSTM is used \n",
    "model.add(LSTM(units=64, activation='relu', return_sequences=False))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Dense(units=1))\n",
    "model.compile(\n",
    "  loss='mean_squared_error',\n",
    "  optimizer=keras.optimizers.Adam(0.001)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "1/1 [==============================] - 0s 464ms/step - loss: 0.9424 - val_loss: 0.9356\n",
      "Epoch 2/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.9299 - val_loss: 0.9255\n",
      "Epoch 3/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.9122 - val_loss: 0.9146\n",
      "Epoch 4/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.8997 - val_loss: 0.8998\n",
      "Epoch 5/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.8811 - val_loss: 0.8812\n",
      "Epoch 6/50\n",
      "1/1 [==============================] - 0s 40ms/step - loss: 0.8588 - val_loss: 0.8587\n",
      "Epoch 7/50\n",
      "1/1 [==============================] - 0s 40ms/step - loss: 0.8369 - val_loss: 0.8327\n",
      "Epoch 8/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.8088 - val_loss: 0.8012\n",
      "Epoch 9/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.7647 - val_loss: 0.7624\n",
      "Epoch 10/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.7213 - val_loss: 0.7154\n",
      "Epoch 11/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.6720 - val_loss: 0.6565\n",
      "Epoch 12/50\n",
      "1/1 [==============================] - 0s 46ms/step - loss: 0.6164 - val_loss: 0.5841\n",
      "Epoch 13/50\n",
      "1/1 [==============================] - 0s 44ms/step - loss: 0.5472 - val_loss: 0.4958\n",
      "Epoch 14/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.4266 - val_loss: 0.3911\n",
      "Epoch 15/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.3276 - val_loss: 0.2746\n",
      "Epoch 16/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.2474 - val_loss: 0.1642\n",
      "Epoch 17/50\n",
      "1/1 [==============================] - 0s 33ms/step - loss: 0.1919 - val_loss: 0.1087\n",
      "Epoch 18/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.2231 - val_loss: 0.1580\n",
      "Epoch 19/50\n",
      "1/1 [==============================] - 0s 38ms/step - loss: 0.2306 - val_loss: 0.2263\n",
      "Epoch 20/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.1667 - val_loss: 0.2383\n",
      "Epoch 21/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.2048 - val_loss: 0.1836\n",
      "Epoch 22/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.1471 - val_loss: 0.1392\n",
      "Epoch 23/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.1661 - val_loss: 0.1121\n",
      "Epoch 24/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.1351 - val_loss: 0.1045\n",
      "Epoch 25/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.1523 - val_loss: 0.1048\n",
      "Epoch 26/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.1375 - val_loss: 0.1076\n",
      "Epoch 27/50\n",
      "1/1 [==============================] - 0s 39ms/step - loss: 0.1328 - val_loss: 0.1085\n",
      "Epoch 28/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.1209 - val_loss: 0.1071\n",
      "Epoch 29/50\n",
      "1/1 [==============================] - 0s 40ms/step - loss: 0.0980 - val_loss: 0.1039\n",
      "Epoch 30/50\n",
      "1/1 [==============================] - 0s 46ms/step - loss: 0.1125 - val_loss: 0.0998\n",
      "Epoch 31/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.1031 - val_loss: 0.0946\n",
      "Epoch 32/50\n",
      "1/1 [==============================] - 0s 45ms/step - loss: 0.1279 - val_loss: 0.0890\n",
      "Epoch 33/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.1363 - val_loss: 0.0834\n",
      "Epoch 34/50\n",
      "1/1 [==============================] - 0s 40ms/step - loss: 0.1169 - val_loss: 0.0795\n",
      "Epoch 35/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.0932 - val_loss: 0.0784\n",
      "Epoch 36/50\n",
      "1/1 [==============================] - 0s 44ms/step - loss: 0.0706 - val_loss: 0.0800\n",
      "Epoch 37/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.1148 - val_loss: 0.0833\n",
      "Epoch 38/50\n",
      "1/1 [==============================] - 0s 45ms/step - loss: 0.1079 - val_loss: 0.0877\n",
      "Epoch 39/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.0816 - val_loss: 0.0930\n",
      "Epoch 40/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.0903 - val_loss: 0.0989\n",
      "Epoch 41/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.0636 - val_loss: 0.1039\n",
      "Epoch 42/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.0637 - val_loss: 0.1080\n",
      "Epoch 43/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.1138 - val_loss: 0.1087\n",
      "Epoch 44/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.0823 - val_loss: 0.1049\n",
      "Epoch 45/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.0728 - val_loss: 0.0987\n",
      "Epoch 46/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.0796 - val_loss: 0.0919\n",
      "Epoch 47/50\n",
      "1/1 [==============================] - 0s 42ms/step - loss: 0.0769 - val_loss: 0.0868\n",
      "Epoch 48/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.0749 - val_loss: 0.0865\n",
      "Epoch 49/50\n",
      "1/1 [==============================] - 0s 43ms/step - loss: 0.0947 - val_loss: 0.0870\n",
      "Epoch 50/50\n",
      "1/1 [==============================] - 0s 41ms/step - loss: 0.0607 - val_loss: 0.0884\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(\n",
    "    X_train, Y_train,\n",
    "    epochs=50,\n",
    "    batch_size=2048,\n",
    "    validation_split=0.1,\n",
    "    verbose=1,\n",
    "    shuffle=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['val_loss'])\n",
    "plt.title('model loss')\n",
    "plt.ylabel('loss')\n",
    "plt.xlabel('epoch')\n",
    "plt.legend(['train', 'val'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Mean Absolute Error: 2.0528034404084528\n",
      "Train Root Mean Squared Error: 2.574862831521385\n",
      "Test Mean Absolute Error: 2.4812097200618495\n",
      "Test Root Mean Squared Error: 2.514577892519035\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import *\n",
    "train_predict = model.predict(X_train)\n",
    "test_predict = model.predict(X_test)\n",
    "# invert predictions\n",
    "train_predict = scaler.inverse_transform(train_predict)\n",
    "Y_train = scaler.inverse_transform([Y_train])\n",
    "test_predict = scaler.inverse_transform(test_predict)\n",
    "Y_test = scaler.inverse_transform([Y_test])\n",
    "print('Train Mean Absolute Error:', mean_absolute_error(Y_train[0], train_predict[:,0]))\n",
    "print('Train Root Mean Squared Error:',np.sqrt(mean_squared_error(Y_train[0], train_predict[:,0])))\n",
    "print('Test Mean Absolute Error:', mean_absolute_error(Y_test[0], test_predict[:,0]))\n",
    "print('Test Root Mean Squared Error:',np.sqrt(mean_squared_error(Y_test[0], test_predict[:,0])))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[31.09908801 26.80392567 21.05475906]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f4bec1e4358>,\n",
       " <matplotlib.lines.Line2D at 0x7f4bec1e44a8>]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "import matplotlib.pyplot as plt\n",
    "y=Y_test.reshape(1,-1)[0]\n",
    "x=range(len(y))\n",
    "z=test_predict.reshape(1,-1)[0]\n",
    "print(y)\n",
    "plt.plot(x,y,z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}