Portfolio 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as py\n",
    "import seaborn as sns\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis of Energy Usage\n",
    "\n",
    "## Loading Data\n",
    "\n",
    "The first dataset is  \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.describe of                      date  Appliances  lights         T1       RH_1  \\\n",
       "0     2016-01-11 17:30:00          50      40  19.890000  46.066667   \n",
       "1     2016-01-11 18:00:00          60      50  19.890000  45.766667   \n",
       "2     2016-01-11 18:40:00         230      70  19.926667  45.863333   \n",
       "3     2016-01-11 18:50:00         580      60  20.066667  46.396667   \n",
       "4     2016-01-11 19:30:00         100      10  20.566667  53.893333   \n",
       "...                   ...         ...     ...        ...        ...   \n",
       "4927  2016-05-27 13:50:00         230       0  25.500000  47.133333   \n",
       "4928  2016-05-27 14:30:00          60       0  25.566667  46.633333   \n",
       "4929  2016-05-27 15:50:00         100       0  25.500000  45.633333   \n",
       "4930  2016-05-27 17:20:00         100       0  25.566667  46.560000   \n",
       "4931  2016-05-27 17:40:00         270      10  25.500000  46.596667   \n",
       "\n",
       "             T2       RH_2         T3       RH_3     T4  ...  Press_mm_hg  \\\n",
       "0     19.200000  44.590000  19.790000  45.000000  18.89  ...   733.800000   \n",
       "1     19.200000  44.500000  19.790000  44.900000  18.89  ...   734.100000   \n",
       "2     19.356667  44.400000  19.790000  44.900000  18.89  ...   734.366667   \n",
       "3     19.426667  44.400000  19.790000  44.826667  19.00  ...   734.433333   \n",
       "4     20.033333  46.756667  20.100000  48.466667  19.00  ...   734.850000   \n",
       "...         ...        ...        ...        ...    ...  ...          ...   \n",
       "4927  26.600000  41.000000  28.200000  41.796667  24.60  ...   755.850000   \n",
       "4928  26.370000  41.378000  28.566667  41.156667  24.70  ...   755.800000   \n",
       "4929  26.080000  41.196000  28.133333  40.260000  24.70  ...   755.550000   \n",
       "4930  25.890000  42.025714  27.200000  41.163333  24.70  ...   755.200000   \n",
       "4931  25.628571  42.768571  27.050000  41.690000  24.70  ...   755.200000   \n",
       "\n",
       "         RH_out  Windspeed  Visibility  Tdewpoint        rv1        rv2  \\\n",
       "0     92.000000   6.000000   51.500000   5.000000  45.410389  45.410389   \n",
       "1     92.000000   5.000000   40.000000   4.700000  47.233763  47.233763   \n",
       "2     91.333333   5.666667   40.000000   4.633333  10.298729  10.298729   \n",
       "3     91.166667   5.833333   40.000000   4.616667   8.827838   8.827838   \n",
       "4     89.500000   6.000000   40.000000   4.350000  24.884962  24.884962   \n",
       "...         ...        ...         ...        ...        ...        ...   \n",
       "4927  59.166667   1.833333   22.333333  13.500000   5.773431   5.773431   \n",
       "4928  59.000000   2.000000   21.500000  13.450000   8.991420   8.991420   \n",
       "4929  55.666667   2.000000   22.666667  13.216667  47.981309  47.981309   \n",
       "4930  55.666667   3.333333   23.666667  13.333333  43.096812  43.096812   \n",
       "4931  56.333333   3.666667   25.333333  13.266667  29.199117  29.199117   \n",
       "\n",
       "        NSM  WeekStatus  Day_of_week  \n",
       "0     63000     Weekday       Monday  \n",
       "1     64800     Weekday       Monday  \n",
       "2     67200     Weekday       Monday  \n",
       "3     67800     Weekday       Monday  \n",
       "4     70200     Weekday       Monday  \n",
       "...     ...         ...          ...  \n",
       "4927  49800     Weekday       Friday  \n",
       "4928  52200     Weekday       Friday  \n",
       "4929  57000     Weekday       Friday  \n",
       "4930  62400     Weekday       Friday  \n",
       "4931  63600     Weekday       Friday  \n",
       "\n",
       "[4932 rows x 32 columns]>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = pd.read_csv('data/testing.csv')\n",
    "test.describe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The second dataset comes preprepared for training the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date            object\n",
       "Appliances       int64\n",
       "lights           int64\n",
       "T1             float64\n",
       "RH_1           float64\n",
       "T2             float64\n",
       "RH_2           float64\n",
       "T3             float64\n",
       "RH_3           float64\n",
       "T4             float64\n",
       "RH_4           float64\n",
       "T5             float64\n",
       "RH_5           float64\n",
       "T6             float64\n",
       "RH_6           float64\n",
       "T7             float64\n",
       "RH_7           float64\n",
       "T8             float64\n",
       "RH_8           float64\n",
       "T9             float64\n",
       "RH_9           float64\n",
       "T_out          float64\n",
       "Press_mm_hg    float64\n",
       "RH_out         float64\n",
       "Windspeed      float64\n",
       "Visibility     float64\n",
       "Tdewpoint      float64\n",
       "rv1            float64\n",
       "rv2            float64\n",
       "NSM              int64\n",
       "WeekStatus      object\n",
       "Day_of_week     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv('data/training.csv')\n",
    "train.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "distribution of the response variable. My computer doesn't seem to handle the number of data rows. So I summarise. I also have to convert date to a a datetime data type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date                   object\n",
       "Appliances              int64\n",
       "lights                  int64\n",
       "T1                    float64\n",
       "RH_1                  float64\n",
       "T2                    float64\n",
       "RH_2                  float64\n",
       "T3                    float64\n",
       "RH_3                  float64\n",
       "T4                    float64\n",
       "RH_4                  float64\n",
       "T5                    float64\n",
       "RH_5                  float64\n",
       "T6                    float64\n",
       "RH_6                  float64\n",
       "T7                    float64\n",
       "RH_7                  float64\n",
       "T8                    float64\n",
       "RH_8                  float64\n",
       "T9                    float64\n",
       "RH_9                  float64\n",
       "T_out                 float64\n",
       "Press_mm_hg           float64\n",
       "RH_out                float64\n",
       "Windspeed             float64\n",
       "Visibility            float64\n",
       "Tdewpoint             float64\n",
       "rv1                   float64\n",
       "rv2                   float64\n",
       "NSM                     int64\n",
       "WeekStatus             object\n",
       "Day_of_week            object\n",
       "datetime       datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['datetime']=pd.to_datetime(train[\"date\"])\n",
    "train['datepart']=train['datetime'].dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>Appliances</th>\n",
       "      <th>lights</th>\n",
       "      <th>T1</th>\n",
       "      <th>RH_1</th>\n",
       "      <th>T2</th>\n",
       "      <th>RH_2</th>\n",
       "      <th>T3</th>\n",
       "      <th>RH_3</th>\n",
       "      <th>T4</th>\n",
       "      <th>...</th>\n",
       "      <th>Tdewpoint</th>\n",
       "      <th>rv1</th>\n",
       "      <th>rv2</th>\n",
       "      <th>NSM</th>\n",
       "      <th>WeekStatus</th>\n",
       "      <th>Day_of_week</th>\n",
       "      <th>datetime</th>\n",
       "      <th>datepart</th>\n",
       "      <th>hour</th>\n",
       "      <th>week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-11 17:00:00</td>\n",
       "      <td>60</td>\n",
       "      <td>30</td>\n",
       "      <td>19.89</td>\n",
       "      <td>47.596667</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.790000</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.730000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.3</td>\n",
       "      <td>13.275433</td>\n",
       "      <td>13.275433</td>\n",
       "      <td>61200</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:00:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-11 17:10:00</td>\n",
       "      <td>60</td>\n",
       "      <td>30</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.693333</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.722500</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.790000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.2</td>\n",
       "      <td>18.606195</td>\n",
       "      <td>18.606195</td>\n",
       "      <td>61800</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:10:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-11 17:20:00</td>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.300000</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.626667</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.933333</td>\n",
       "      <td>18.926667</td>\n",
       "      <td>...</td>\n",
       "      <td>5.1</td>\n",
       "      <td>28.642668</td>\n",
       "      <td>28.642668</td>\n",
       "      <td>62400</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:20:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-11 17:40:00</td>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.333333</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.530000</td>\n",
       "      <td>19.79</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>18.890000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.9</td>\n",
       "      <td>10.084097</td>\n",
       "      <td>10.084097</td>\n",
       "      <td>63600</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:40:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-11 17:50:00</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.026667</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.500000</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.933333</td>\n",
       "      <td>18.890000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.8</td>\n",
       "      <td>44.919484</td>\n",
       "      <td>44.919484</td>\n",
       "      <td>64200</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:50:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date  Appliances  lights     T1       RH_1    T2       RH_2  \\\n",
       "0  2016-01-11 17:00:00          60      30  19.89  47.596667  19.2  44.790000   \n",
       "1  2016-01-11 17:10:00          60      30  19.89  46.693333  19.2  44.722500   \n",
       "2  2016-01-11 17:20:00          50      30  19.89  46.300000  19.2  44.626667   \n",
       "3  2016-01-11 17:40:00          60      40  19.89  46.333333  19.2  44.530000   \n",
       "4  2016-01-11 17:50:00          50      40  19.89  46.026667  19.2  44.500000   \n",
       "\n",
       "      T3       RH_3         T4  ...  Tdewpoint        rv1        rv2    NSM  \\\n",
       "0  19.79  44.730000  19.000000  ...        5.3  13.275433  13.275433  61200   \n",
       "1  19.79  44.790000  19.000000  ...        5.2  18.606195  18.606195  61800   \n",
       "2  19.79  44.933333  18.926667  ...        5.1  28.642668  28.642668  62400   \n",
       "3  19.79  45.000000  18.890000  ...        4.9  10.084097  10.084097  63600   \n",
       "4  19.79  44.933333  18.890000  ...        4.8  44.919484  44.919484  64200   \n",
       "\n",
       "   WeekStatus  Day_of_week            datetime    datepart  hour  week  \n",
       "0     Weekday       Monday 2016-01-11 17:00:00  2016-01-11    17     2  \n",
       "1     Weekday       Monday 2016-01-11 17:10:00  2016-01-11    17     2  \n",
       "2     Weekday       Monday 2016-01-11 17:20:00  2016-01-11    17     2  \n",
       "3     Weekday       Monday 2016-01-11 17:40:00  2016-01-11    17     2  \n",
       "4     Weekday       Monday 2016-01-11 17:50:00  2016-01-11    17     2  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1eaa8da1d00>]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 6), dpi=80)\n",
    "ax1 = fig.add_subplot()\n",
    "ax1.set_ylabel('Appliances Wh')\n",
    "ax1.set_xlabel('Date')\n",
    "ax1.set_title('Overall energy usage of appliances')\n",
    "ax1.xaxis.set_major_formatter(mdates.DateFormatter('%B %d'))\n",
    "ax1.plot('datepart', 'Appliances', data=train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Fig 1. (A) Appliances energy consumption measurement for the whole period, (B) A closer look at \n",
    "the first week of data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our Tasks include - Exploring relationships within the features.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Distribution of load for 10 minute intervals'}, xlabel='Appliances Wh', ylabel='Number of 10 minute intervals'>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 6), dpi=80)\n",
    "ax1 = fig.add_subplot()\n",
    "ax1.set_xlabel('Appliances Wh')\n",
    "ax1.set_ylabel('Number of 10 minute intervals')\n",
    "ax1.set_title('Distribution of load for 10 minute intervals')\n",
    "sns.histplot(data=train,x='Appliances',binwidth=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Distribution of load for 10 minute intervals'}, xlabel='Appliances'>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 6), dpi=80)\n",
    "ax2 = fig.add_subplot()\n",
    "ax2.set_xlabel('Appliances Wh')\n",
    "ax2.set_title('Distribution of load for 10 minute intervals')\n",
    "sns.boxplot(data=train,x='Appliances',ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=uint8)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#we need to create dummy variables for weekday/weekend variable.\n",
    "weekstatus_df=pd.get_dummies(train['WeekStatus'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to calculate correlation coefficient between two arrays\n",
    "def corr(x, y, **kwargs):\n",
    "    \n",
    "    # Calculate the value\n",
    "    coef = py.corrcoef(x, y)[0][1]\n",
    "    # Make the label\n",
    "    label = str(round(coef, 2))\n",
    "    \n",
    "    # Add the label to the plot\n",
    "    ax = plt.gca()\n",
    "    ax.annotate(label, xy = (0.2, 0.5), size = 50, xycoords = ax.transAxes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 72 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create an instance of the PairGrid class.\n",
    "grid = sns.PairGrid(data= train, vars =[\"Appliances\",\"lights\",\"T1\",\"RH_1\",\"T2\",\"RH_2\",\"T3\",\"RH_3\"])\n",
    "grid = grid.map_diag(plt.hist)\n",
    "grid = grid.map_upper(corr)\n",
    "grid = grid.map_lower(sns.regplot,scatter_kws={\"color\": \"blue\"}, line_kws={\"color\": \"red\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fig. 3 from paper. Pairs plot. Relationship between the energy consumption of appliances with: lights, T1, RH1, \n",
    "T2, RH2, T3, RH3. T1 and RH1 correspond to the kitchen conditions; T2and RH2 correspond to the \n",
    "living room conditions. We can see that temperatures are highly correlated within the house. Humidities are quite correlated.\n",
    "However the time period of 10 minute intervals is probably too short given that behaviour of the occupants is driven by longer term factors, and insulation in the house, plus interaction with the outside environment is taking place slower than these short windows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [],
   "source": [
    "#summarise by hour for heatmap of usage\n",
    "train['hour']=train['datetime'].dt.hour\n",
    "train['weekday']=train['datetime'].dt.weekday\n",
    "train['week']=train['datetime'].dt.isocalendar().week.astype(int)\n",
    "train['year']=train['datetime'].dt.isocalendar().year\n",
    "appliancehr=train[['Appliances','year','week','weekday','Day_of_week','hour']]\n",
    "appliancesum=appliancehr.groupby(['year','week','weekday','Day_of_week','hour'])[[\"Appliances\"]].sum()\n",
    "max, min = appliancesum.max(), appliancesum.min()\n",
    "table = pd.pivot_table(appliancesum.loc[(2016, 3):(2016, 6)], values='Appliances', index=['week','hour'],\n",
    "                    columns=['weekday','Day_of_week'], aggfunc=py.sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of weekday          0       1         2        3      4        5      6\n",
       "Day_of_week Monday Tuesday Wednesday Thursday Friday Saturday Sunday\n",
       "week hour                                                           \n",
       "3    0         270     280       190      200    120      170    130\n",
       "     1         210     270       190      270    170      140    260\n",
       "     2         210     150       190      180    200      170    190\n",
       "     3         200     280       210      300    240      190    270\n",
       "     4         270     150       200      240    130       60    150\n",
       "...            ...     ...       ...      ...    ...      ...    ...\n",
       "6    19        770    1560       560      500    420      980    980\n",
       "     20        520     750       770      370    610      320    900\n",
       "     21        340     810       620      380    620      360    520\n",
       "     22        340     590       490      360    300      310    530\n",
       "     23        180     350       290      350    230      240    230\n",
       "\n",
       "[96 rows x 7 columns]>"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Week 6'}, xlabel='weekday-Day_of_week', ylabel='hour'>"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3, ax4) = plt.subplots(1, 4,figsize=(15, 6))\n",
    "ax1.set_title('Week 3')\n",
    "ax2.set_title('Week 4')\n",
    "ax3.set_title('Week 5')\n",
    "ax4.set_title('Week 6')\n",
    "fig.suptitle('Distribution of appliance energy usage by hour')\n",
    "xticklabs={'Mon','Tue','Wed','Thu','Fri','Sat','Sun'}\n",
    "sns.heatmap(data=table.loc[(3)],square=True,robust=True,ax=ax1,cbar=None,vmin=min,vmax=max)\n",
    "sns.heatmap(data=table.loc[(4)],square=True,robust=True,ax=ax2,cbar=None,vmin=min,vmax=max)\n",
    "sns.heatmap(data=table.loc[(5)],square=True,robust=True,ax=ax3,cbar=None,vmin=min,vmax=max)\n",
    "sns.heatmap(data=table.loc[(6)],square=True,robust=True,ax=ax4,vmin=min,vmax=max)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By looking at 4 consequetive weeks we see the pattern of low energy usage before 8am, and high on some days throughout, whereas on other days it is only in the morning or evening that usage is high. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>Appliances</th>\n",
       "      <th>lights</th>\n",
       "      <th>T1</th>\n",
       "      <th>RH_1</th>\n",
       "      <th>T2</th>\n",
       "      <th>RH_2</th>\n",
       "      <th>T3</th>\n",
       "      <th>RH_3</th>\n",
       "      <th>T4</th>\n",
       "      <th>...</th>\n",
       "      <th>rv2</th>\n",
       "      <th>NSM</th>\n",
       "      <th>WeekStatus</th>\n",
       "      <th>Day_of_week</th>\n",
       "      <th>datetime</th>\n",
       "      <th>datepart</th>\n",
       "      <th>hour</th>\n",
       "      <th>week</th>\n",
       "      <th>weekday</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-11 17:00:00</td>\n",
       "      <td>60</td>\n",
       "      <td>30</td>\n",
       "      <td>19.89</td>\n",
       "      <td>47.596667</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.790000</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.730000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>13.275433</td>\n",
       "      <td>61200</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:00:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-11 17:10:00</td>\n",
       "      <td>60</td>\n",
       "      <td>30</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.693333</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.722500</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.790000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>18.606195</td>\n",
       "      <td>61800</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:10:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-11 17:20:00</td>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.300000</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.626667</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.933333</td>\n",
       "      <td>18.926667</td>\n",
       "      <td>...</td>\n",
       "      <td>28.642668</td>\n",
       "      <td>62400</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:20:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-11 17:40:00</td>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.333333</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.530000</td>\n",
       "      <td>19.79</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>18.890000</td>\n",
       "      <td>...</td>\n",
       "      <td>10.084097</td>\n",
       "      <td>63600</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:40:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-11 17:50:00</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>19.89</td>\n",
       "      <td>46.026667</td>\n",
       "      <td>19.2</td>\n",
       "      <td>44.500000</td>\n",
       "      <td>19.79</td>\n",
       "      <td>44.933333</td>\n",
       "      <td>18.890000</td>\n",
       "      <td>...</td>\n",
       "      <td>44.919484</td>\n",
       "      <td>64200</td>\n",
       "      <td>Weekday</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2016-01-11 17:50:00</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date  Appliances  lights     T1       RH_1    T2       RH_2  \\\n",
       "0  2016-01-11 17:00:00          60      30  19.89  47.596667  19.2  44.790000   \n",
       "1  2016-01-11 17:10:00          60      30  19.89  46.693333  19.2  44.722500   \n",
       "2  2016-01-11 17:20:00          50      30  19.89  46.300000  19.2  44.626667   \n",
       "3  2016-01-11 17:40:00          60      40  19.89  46.333333  19.2  44.530000   \n",
       "4  2016-01-11 17:50:00          50      40  19.89  46.026667  19.2  44.500000   \n",
       "\n",
       "      T3       RH_3         T4  ...        rv2    NSM  WeekStatus  \\\n",
       "0  19.79  44.730000  19.000000  ...  13.275433  61200     Weekday   \n",
       "1  19.79  44.790000  19.000000  ...  18.606195  61800     Weekday   \n",
       "2  19.79  44.933333  18.926667  ...  28.642668  62400     Weekday   \n",
       "3  19.79  45.000000  18.890000  ...  10.084097  63600     Weekday   \n",
       "4  19.79  44.933333  18.890000  ...  44.919484  64200     Weekday   \n",
       "\n",
       "   Day_of_week            datetime    datepart  hour  week  weekday  year  \n",
       "0       Monday 2016-01-11 17:00:00  2016-01-11    17     2        0  2016  \n",
       "1       Monday 2016-01-11 17:10:00  2016-01-11    17     2        0  2016  \n",
       "2       Monday 2016-01-11 17:20:00  2016-01-11    17     2        0  2016  \n",
       "3       Monday 2016-01-11 17:40:00  2016-01-11    17     2        0  2016  \n",
       "4       Monday 2016-01-11 17:50:00  2016-01-11    17     2        0  2016  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#my computer can't handle this SVR estimator. It takes a very long time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Found array with 1 feature(s) (shape=(14803, 1)) while a minimum of 2 is required.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-240-b0b7adbb20ed>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[0mestimator\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlinear_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLinearRegression\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      9\u001b[0m \u001b[0mselector\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mRFE\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mestimator\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn_features_to_select\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m.5\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstep\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0mselector\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mselector\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\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:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_rfe.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, X, y)\u001b[0m\n\u001b[0;32m    149\u001b[0m             \u001b[0mThe\u001b[0m \u001b[0mtarget\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    150\u001b[0m         \"\"\"\n\u001b[1;32m--> 151\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\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    152\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    153\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_fit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstep_score\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[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_rfe.py\u001b[0m in \u001b[0;36m_fit\u001b[1;34m(self, X, y, step_score)\u001b[0m\n\u001b[0;32m    158\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    159\u001b[0m         \u001b[0mtags\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_tags\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[1;32m--> 160\u001b[1;33m         X, y = self._validate_data(\n\u001b[0m\u001b[0;32m    161\u001b[0m             \u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maccept_sparse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"csc\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    162\u001b[0m             \u001b[0mensure_min_features\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\base.py\u001b[0m in \u001b[0;36m_validate_data\u001b[1;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[0;32m    430\u001b[0m                 \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcheck_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mcheck_y_params\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    431\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 432\u001b[1;33m                 \u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcheck_X_y\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mcheck_params\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    433\u001b[0m             \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    434\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36minner_f\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     70\u001b[0m                           FutureWarning)\n\u001b[0;32m     71\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m)\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[1;32m---> 72\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\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     73\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36mcheck_X_y\u001b[1;34m(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)\u001b[0m\n\u001b[0;32m    793\u001b[0m         \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"y cannot be None\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    794\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 795\u001b[1;33m     X = check_array(X, accept_sparse=accept_sparse,\n\u001b[0m\u001b[0;32m    796\u001b[0m                     \u001b[0maccept_large_sparse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maccept_large_sparse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    797\u001b[0m                     \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36minner_f\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     70\u001b[0m                           FutureWarning)\n\u001b[0;32m     71\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m)\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[1;32m---> 72\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\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     73\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    656\u001b[0m         \u001b[0mn_features\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    657\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mn_features\u001b[0m \u001b[1;33m<\u001b[0m \u001b[0mensure_min_features\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 658\u001b[1;33m             raise ValueError(\"Found array with %d feature(s) (shape=%s) while\"\n\u001b[0m\u001b[0;32m    659\u001b[0m                              \u001b[1;34m\" a minimum of %d is required%s.\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    660\u001b[0m                              % (n_features, array.shape, ensure_min_features,\n",
      "\u001b[1;31mValueError\u001b[0m: Found array with 1 feature(s) (shape=(14803, 1)) while a minimum of 2 is required."
     ]
    }
   ],
   "source": [
    "from sklearn import linear_model\n",
    "from sklearn.metrics import r2_score, mean_squared_error\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.svm import SVR\n",
    "X_train = train.drop(['Appliances','lights','datepart','datetime','date','Day_of_week','WeekStatus'],axis=1)\n",
    "y_train= train['Appliances']\n",
    "#estimator = SVR(kernel=\"linear\")\n",
    "estimator=linear_model.LinearRegression()\n",
    "selector = RFE(estimator, n_features_to_select=.5, step=1)\n",
    "selector = selector.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = linear_model.LinearRegression()\n",
    "predictors=['lights','T1','RH_1','T2','T3','RH_3','T4','RH_4','T5','RH_5','T6','RH_6','T7','RH_7','T8','RH_8','T9','RH_9','T_out',\n",
    "          'Press_mm_hg', 'RH_out','Windspeed','Visibility','Tdewpoint','rv1','rv2','NSM']\n",
    "X = train[predictors]\n",
    "y = train['Appliances']\n",
    "y_test=test['Appliances']\n",
    "X_test=test[predictors]\n",
    "reg.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R Squared: 0.1410843091022993\n",
      "sklearn function MSE: 8866.871094665616\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 1.95508142e+00, -1.84314243e+01,  5.94265786e+00,  6.53303306e+00,\n",
       "        2.78492758e+01,  4.07172722e+00, -4.18607300e+00, -3.53885996e+00,\n",
       "       -2.76673010e+00,  4.05664895e-02,  6.53944014e+00,  3.62646745e-01,\n",
       "        4.01143222e+00, -2.39233276e+00,  7.75044787e+00, -2.85207309e+00,\n",
       "       -1.93176601e+01, -7.77253855e-01, -7.38509574e+00,  2.02891196e-01,\n",
       "       -7.41018812e-01,  2.15281717e+00,  1.28083797e-01,  1.03987809e+00,\n",
       "       -2.29324199e-02, -2.29324199e-02,  3.09057609e-04])"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicted=reg.predict(X_test)\n",
    "r2 = r2_score(y_test, predicted)\n",
    "MSE = mean_squared_error(y_test,predicted)\n",
    "print(\"R Squared:\", r2)\n",
    "print(\"sklearn function MSE:\", MSE)\n",
    "reg.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def createmodel(f):\n",
    "    rfe=RFE(estimator=model,n_features_to_select=f,step=1)\n",
    "    rfe.fit(X_train,y_train)\n",
    "    y_feature_predict=rfe.predict(X_test)\n",
    "    print (\"R sq of \",f, \" feature prediction on the testing data:\", r_square(y_test,y_feature_predict))\n",
    "    print(\"features selected:\" , list(X_train.columns[rfe.get_support()]))"
   ]
  }
 ],
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