Working on Time Series Model Stuff.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load required modules\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# visualization\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "# machine learning\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC, LinearSVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.naive_bayes import GaussianNB # Gaussian Naive Bays\n",
    "from sklearn.linear_model import Perceptron\n",
    "from sklearn.linear_model import SGDClassifier #stochastic gradient descent\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "# Garbage Collector\n",
    "import gc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>GenCalifornia...all.fuels..utility.scale..thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...coal.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...petroleum.liquids.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...petroleum.coke.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...natural.gas.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...other.gases.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...nuclear.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...conventional.hydroelectric.thousand.megawatthours</th>\n",
       "      <th>GenCalifornia...other.renewables.thousand.megawatthours</th>\n",
       "      <th>...</th>\n",
       "      <th>Natural.Gas.Consumed.by.the.Transportation.Sector..Pipelines.and.Distribution..Billion.Cubic.Feet.</th>\n",
       "      <th>Natural.Gas.Consumed.by.the.Transportation.Sector..Vehicle.Fuel..Billion.Cubic.Feet.</th>\n",
       "      <th>Natural.Gas.Consumed.by.the.Transportation.Sector..Total..Billion.Cubic.Feet.</th>\n",
       "      <th>Natural.Gas.Consumed.by.the.Electric.Power.Sector..Billion.Cubic.Feet.</th>\n",
       "      <th>Natural.Gas.Consumption..Total..Billion.Cubic.Feet.</th>\n",
       "      <th>Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour</th>\n",
       "      <th>Consumption.for.electricity.generation.for.all.sectors.monthly.California...coal.thousand.tons</th>\n",
       "      <th>Consumption.for.electricity.generation.for.natural.gas.monthly.California...all.sectors.thousand.Mcf</th>\n",
       "      <th>Retail.sales.of.electricity.monthly.California...all.sectors.million.kilowatthours</th>\n",
       "      <th>Total.consumption.for.all.sectors.monthly.California...coal.thousand.tons</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jul-17</td>\n",
       "      <td>20980.32206</td>\n",
       "      <td>23.12607</td>\n",
       "      <td>3.44655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9653.23988</td>\n",
       "      <td>111.09914</td>\n",
       "      <td>1648.012</td>\n",
       "      <td>4371.98080</td>\n",
       "      <td>5008.53970</td>\n",
       "      <td>...</td>\n",
       "      <td>53.572</td>\n",
       "      <td>3.694</td>\n",
       "      <td>57.266</td>\n",
       "      <td>1051.503</td>\n",
       "      <td>2111.264</td>\n",
       "      <td>17.53</td>\n",
       "      <td>5.424</td>\n",
       "      <td>70676.525</td>\n",
       "      <td>24342.39981</td>\n",
       "      <td>48.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jun-17</td>\n",
       "      <td>18260.48619</td>\n",
       "      <td>26.82868</td>\n",
       "      <td>3.31392</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7191.91812</td>\n",
       "      <td>118.54188</td>\n",
       "      <td>959.831</td>\n",
       "      <td>4455.83824</td>\n",
       "      <td>5388.18090</td>\n",
       "      <td>...</td>\n",
       "      <td>47.968</td>\n",
       "      <td>3.560</td>\n",
       "      <td>51.529</td>\n",
       "      <td>834.144</td>\n",
       "      <td>1890.416</td>\n",
       "      <td>17.55</td>\n",
       "      <td>6.162</td>\n",
       "      <td>52936.269</td>\n",
       "      <td>22235.30692</td>\n",
       "      <td>55.518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>May-17</td>\n",
       "      <td>16878.55820</td>\n",
       "      <td>14.41477</td>\n",
       "      <td>3.32468</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5243.68841</td>\n",
       "      <td>136.91117</td>\n",
       "      <td>840.135</td>\n",
       "      <td>4972.12223</td>\n",
       "      <td>5532.79051</td>\n",
       "      <td>...</td>\n",
       "      <td>47.874</td>\n",
       "      <td>3.679</td>\n",
       "      <td>51.553</td>\n",
       "      <td>697.129</td>\n",
       "      <td>1886.702</td>\n",
       "      <td>15.46</td>\n",
       "      <td>3.572</td>\n",
       "      <td>38705.087</td>\n",
       "      <td>19838.08134</td>\n",
       "      <td>39.540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Apr-17</td>\n",
       "      <td>15436.06640</td>\n",
       "      <td>19.33808</td>\n",
       "      <td>3.53045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4248.56449</td>\n",
       "      <td>129.62659</td>\n",
       "      <td>1412.868</td>\n",
       "      <td>4397.51087</td>\n",
       "      <td>5155.78836</td>\n",
       "      <td>...</td>\n",
       "      <td>48.577</td>\n",
       "      <td>3.560</td>\n",
       "      <td>52.137</td>\n",
       "      <td>613.895</td>\n",
       "      <td>1914.399</td>\n",
       "      <td>13.12</td>\n",
       "      <td>4.529</td>\n",
       "      <td>30739.269</td>\n",
       "      <td>17875.54180</td>\n",
       "      <td>43.499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mar-17</td>\n",
       "      <td>16101.84657</td>\n",
       "      <td>27.06185</td>\n",
       "      <td>6.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4816.73759</td>\n",
       "      <td>118.23473</td>\n",
       "      <td>1569.141</td>\n",
       "      <td>4481.18059</td>\n",
       "      <td>5062.00859</td>\n",
       "      <td>...</td>\n",
       "      <td>63.788</td>\n",
       "      <td>3.679</td>\n",
       "      <td>67.466</td>\n",
       "      <td>667.123</td>\n",
       "      <td>2513.842</td>\n",
       "      <td>15.39</td>\n",
       "      <td>6.222</td>\n",
       "      <td>36072.471</td>\n",
       "      <td>19947.97958</td>\n",
       "      <td>55.854</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 74 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Month  GenCalifornia...all.fuels..utility.scale..thousand.megawatthours  \\\n",
       "0  Jul-17                                        20980.32206                  \n",
       "1  Jun-17                                        18260.48619                  \n",
       "2  May-17                                        16878.55820                  \n",
       "3  Apr-17                                        15436.06640                  \n",
       "4  Mar-17                                        16101.84657                  \n",
       "\n",
       "   GenCalifornia...coal.thousand.megawatthours  \\\n",
       "0                                     23.12607   \n",
       "1                                     26.82868   \n",
       "2                                     14.41477   \n",
       "3                                     19.33808   \n",
       "4                                     27.06185   \n",
       "\n",
       "   GenCalifornia...petroleum.liquids.thousand.megawatthours  \\\n",
       "0                                            3.44655          \n",
       "1                                            3.31392          \n",
       "2                                            3.32468          \n",
       "3                                            3.53045          \n",
       "4                                            6.00000          \n",
       "\n",
       "   GenCalifornia...petroleum.coke.thousand.megawatthours  \\\n",
       "0                                                0.0       \n",
       "1                                                0.0       \n",
       "2                                                0.0       \n",
       "3                                                0.0       \n",
       "4                                                0.0       \n",
       "\n",
       "   GenCalifornia...natural.gas.thousand.megawatthours  \\\n",
       "0                                         9653.23988    \n",
       "1                                         7191.91812    \n",
       "2                                         5243.68841    \n",
       "3                                         4248.56449    \n",
       "4                                         4816.73759    \n",
       "\n",
       "   GenCalifornia...other.gases.thousand.megawatthours  \\\n",
       "0                                          111.09914    \n",
       "1                                          118.54188    \n",
       "2                                          136.91117    \n",
       "3                                          129.62659    \n",
       "4                                          118.23473    \n",
       "\n",
       "   GenCalifornia...nuclear.thousand.megawatthours  \\\n",
       "0                                        1648.012   \n",
       "1                                         959.831   \n",
       "2                                         840.135   \n",
       "3                                        1412.868   \n",
       "4                                        1569.141   \n",
       "\n",
       "   GenCalifornia...conventional.hydroelectric.thousand.megawatthours  \\\n",
       "0                                         4371.98080                   \n",
       "1                                         4455.83824                   \n",
       "2                                         4972.12223                   \n",
       "3                                         4397.51087                   \n",
       "4                                         4481.18059                   \n",
       "\n",
       "   GenCalifornia...other.renewables.thousand.megawatthours  \\\n",
       "0                                         5008.53970         \n",
       "1                                         5388.18090         \n",
       "2                                         5532.79051         \n",
       "3                                         5155.78836         \n",
       "4                                         5062.00859         \n",
       "\n",
       "                                     ...                                      \\\n",
       "0                                    ...                                       \n",
       "1                                    ...                                       \n",
       "2                                    ...                                       \n",
       "3                                    ...                                       \n",
       "4                                    ...                                       \n",
       "\n",
       "   Natural.Gas.Consumed.by.the.Transportation.Sector..Pipelines.and.Distribution..Billion.Cubic.Feet.  \\\n",
       "0                                             53.572                                                    \n",
       "1                                             47.968                                                    \n",
       "2                                             47.874                                                    \n",
       "3                                             48.577                                                    \n",
       "4                                             63.788                                                    \n",
       "\n",
       "   Natural.Gas.Consumed.by.the.Transportation.Sector..Vehicle.Fuel..Billion.Cubic.Feet.  \\\n",
       "0                                              3.694                                      \n",
       "1                                              3.560                                      \n",
       "2                                              3.679                                      \n",
       "3                                              3.560                                      \n",
       "4                                              3.679                                      \n",
       "\n",
       "   Natural.Gas.Consumed.by.the.Transportation.Sector..Total..Billion.Cubic.Feet.  \\\n",
       "0                                             57.266                               \n",
       "1                                             51.529                               \n",
       "2                                             51.553                               \n",
       "3                                             52.137                               \n",
       "4                                             67.466                               \n",
       "\n",
       "   Natural.Gas.Consumed.by.the.Electric.Power.Sector..Billion.Cubic.Feet.  \\\n",
       "0                                           1051.503                        \n",
       "1                                            834.144                        \n",
       "2                                            697.129                        \n",
       "3                                            613.895                        \n",
       "4                                            667.123                        \n",
       "\n",
       "   Natural.Gas.Consumption..Total..Billion.Cubic.Feet.  \\\n",
       "0                                           2111.264     \n",
       "1                                           1890.416     \n",
       "2                                           1886.702     \n",
       "3                                           1914.399     \n",
       "4                                           2513.842     \n",
       "\n",
       "   Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour  \\\n",
       "0                                              17.53                                             \n",
       "1                                              17.55                                             \n",
       "2                                              15.46                                             \n",
       "3                                              13.12                                             \n",
       "4                                              15.39                                             \n",
       "\n",
       "   Consumption.for.electricity.generation.for.all.sectors.monthly.California...coal.thousand.tons  \\\n",
       "0                                              5.424                                                \n",
       "1                                              6.162                                                \n",
       "2                                              3.572                                                \n",
       "3                                              4.529                                                \n",
       "4                                              6.222                                                \n",
       "\n",
       "   Consumption.for.electricity.generation.for.natural.gas.monthly.California...all.sectors.thousand.Mcf  \\\n",
       "0                                          70676.525                                                      \n",
       "1                                          52936.269                                                      \n",
       "2                                          38705.087                                                      \n",
       "3                                          30739.269                                                      \n",
       "4                                          36072.471                                                      \n",
       "\n",
       "   Retail.sales.of.electricity.monthly.California...all.sectors.million.kilowatthours  \\\n",
       "0                                        24342.39981                                    \n",
       "1                                        22235.30692                                    \n",
       "2                                        19838.08134                                    \n",
       "3                                        17875.54180                                    \n",
       "4                                        19947.97958                                    \n",
       "\n",
       "   Total.consumption.for.all.sectors.monthly.California...coal.thousand.tons  \n",
       "0                                             48.016                          \n",
       "1                                             55.518                          \n",
       "2                                             39.540                          \n",
       "3                                             43.499                          \n",
       "4                                             55.854                          \n",
       "\n",
       "[5 rows x 74 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pandas import Series\n",
    "from matplotlib import pyplot\n",
    "data = pd.read_csv('DataSets/final.csv')\n",
    "for i in data:\n",
    "    data_series = data[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Month\n",
      "GenCalifornia...all.fuels..utility.scale..thousand.megawatthours\n",
      "GenCalifornia...coal.thousand.megawatthours\n",
      "GenCalifornia...petroleum.liquids.thousand.megawatthours\n",
      "GenCalifornia...petroleum.coke.thousand.megawatthours\n",
      "GenCalifornia...natural.gas.thousand.megawatthours\n",
      "GenCalifornia...other.gases.thousand.megawatthours\n",
      "GenCalifornia...nuclear.thousand.megawatthours\n",
      "GenCalifornia...conventional.hydroelectric.thousand.megawatthours\n",
      "GenCalifornia...other.renewables.thousand.megawatthours\n",
      "GenCalifornia...hydro.electric.pumped.storage.thousand.megawatthours\n",
      "GenCalifornia...other.thousand.megawatthours\n",
      "GenCalifornia..Geothermal.electricity.Total\n",
      "GenCalifornia..Geothermal.electric.utility\n",
      "GenCalifornia..Independent.Power.producers\n",
      "GDP\n",
      "Av.Temp\n",
      "Av.Daily.Max\n",
      "Av.Rel.Humid\n",
      "PrCalifornia...all.sectors.cents.per.kilowatthour\n",
      "Bio.Prod.Trillion.BTU.\n",
      "BioMass.Prod.Trill.BTU.\n",
      "Total.RenProd..TrillBtu.\n",
      "Hydro.Consumption.TrillBtu.\n",
      "GeoConsump.TrillBtu.\n",
      "Solar.Consump.TrillionBTU.\n",
      "WindConsump.TrillBTU.\n",
      "WoodConsump..TrillBTU.\n",
      "WasteConsump.TrillBTU.\n",
      "Biofuels.Consump.TrillBTU.\n",
      "Total.Biomass.Consump.TrillBTU.\n",
      "Total.Renewable.Consump.TrillBTU.\n",
      "Natural.Gas.Price..Citygate..Dollars.per.Thousand.Cubic.Feet.\n",
      "Natural.Gas.Price..Delivered.to.Consumers..Residential..Dollars.per.Thousand.Cubic.Feet.\n",
      "Percentage.of.Residential.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.\n",
      "Natural.Gas.Price..Delivered.to.Consumers..Commercial..Dollars.per.Thousand.Cubic.Feet.\n",
      "Percentage.of.Commercial.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.\n",
      "Natural.Gas.Price..Delivered.to.Consumers..Industrial..Dollars.per.Thousand.Cubic.Feet.\n",
      "Percentage.of.Industrial.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.\n",
      "Natural.Gas.Price..Electric.Power.Sector..Dollars.per.Thousand.Cubic.Feet.\n",
      "Percentage.of.Electric.Power.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.\n",
      "Electricity.Net.Generation..Electric.Power.Sector..Billion.Kilowatthours.\n",
      "Electricity.Net.Generation..Commercial.Sector..Billion.Kilowatthours.\n",
      "Electricity.Net.Generation..Industrial.Sector..Billion.Kilowatthours.\n",
      "Electricity.Net.Generation..Total..Billion.Kilowatthours.\n",
      "Electricity.Imports..Billion.Kilowatthours.\n",
      "Electricity.Exports..Billion.Kilowatthours.\n",
      "Electricity.Net.Imports..Billion.Kilowatthours.\n",
      "Transmission.and.Distribution.Losses.and.Unaccounted.for..Billion.Kilowatthours.\n",
      "Electricity.Retail.Sales..Total..Billion.Kilowatthours.\n",
      "Electricity.Direct.Use..Billion.Kilowatthours.\n",
      "Electricity.End.Use..Total..Billion.Kilowatthours.\n",
      "Average.Retail.Price.of.Electricity..Residential..Cents.per.Kilowatthour...Including.Taxes.\n",
      "Average.Retail.Price.of.Electricity..Commercial..Cents.per.Kilowatthour...Including.Taxes.\n",
      "Average.Retail.Price.of.Electricity..Industrial..Cents.per.Kilowatthour...Including.Taxes.\n",
      "Average.Retail.Price.of.Electricity..Transportation..Cents.per.Kilowatthour...Including.Taxes.\n",
      "Average.Retail.Price.of.Electricity..Total..Cents.per.Kilowatthour...Including.Taxes.\n",
      "Natural.Gas.Consumed.by.the.Residential.Sector..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Commercial.Sector..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Industrial.Sector..Lease.and.Plant.Fuel..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Other.Industrial.Sector..CHP..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Other.Industrial.Sector..Non.CHP..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Other.Industrial.Sector..Total..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Industrial.Sector..Total..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Transportation.Sector..Pipelines.and.Distribution..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Transportation.Sector..Vehicle.Fuel..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Transportation.Sector..Total..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumed.by.the.Electric.Power.Sector..Billion.Cubic.Feet.\n",
      "Natural.Gas.Consumption..Total..Billion.Cubic.Feet.\n",
      "Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour\n",
      "Consumption.for.electricity.generation.for.all.sectors.monthly.California...coal.thousand.tons\n",
      "Consumption.for.electricity.generation.for.natural.gas.monthly.California...all.sectors.thousand.Mcf\n",
      "Retail.sales.of.electricity.monthly.California...all.sectors.million.kilowatthours\n",
      "Total.consumption.for.all.sectors.monthly.California...coal.thousand.tons\n"
     ]
    }
   ],
   "source": [
    "for i in data:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data['Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour']\n",
    "x = data.drop(['Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b05e898>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zn+LS6mPjvu3VIzqMi85M4qIzkygsqWJdbiF69xEuOTuZxC4yIcpbzCYT118w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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b07b080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdp_Series = data['GDP']\n",
    "gdp_Series.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Percentage.of.Commercial.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.             -0.697495\n",
       "Percentage.of.Industrial.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.             -0.675391\n",
       "Percentage.of.Residential.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.            -0.659314\n",
       "GenCalifornia...petroleum.coke.thousand.megawatthours                                                -0.655859\n",
       "Total.consumption.for.all.sectors.monthly.California...coal.thousand.tons                            -0.601425\n",
       "GenCalifornia...coal.thousand.megawatthours                                                          -0.579910\n",
       "Consumption.for.electricity.generation.for.all.sectors.monthly.California...coal.thousand.tons       -0.576642\n",
       "Electricity.Exports..Billion.Kilowatthours.                                                          -0.523275\n",
       "Natural.Gas.Price..Electric.Power.Sector..Dollars.per.Thousand.Cubic.Feet.                           -0.443946\n",
       "Natural.Gas.Consumed.by.the.Residential.Sector..Billion.Cubic.Feet.                                  -0.435300\n",
       "Natural.Gas.Price..Delivered.to.Consumers..Industrial..Dollars.per.Thousand.Cubic.Feet.              -0.434391\n",
       "GenCalifornia...nuclear.thousand.megawatthours                                                       -0.414058\n",
       "Natural.Gas.Consumed.by.the.Commercial.Sector..Billion.Cubic.Feet.                                   -0.383735\n",
       "Natural.Gas.Price..Citygate..Dollars.per.Thousand.Cubic.Feet.                                        -0.371757\n",
       "GenCalifornia...petroleum.liquids.thousand.megawatthours                                             -0.364967\n",
       "GenCalifornia..Independent.Power.producers                                                           -0.221923\n",
       "Natural.Gas.Price..Delivered.to.Consumers..Commercial..Dollars.per.Thousand.Cubic.Feet.              -0.187204\n",
       "GenCalifornia..Geothermal.electricity.Total                                                          -0.180232\n",
       "GenCalifornia...other.gases.thousand.megawatthours                                                   -0.167010\n",
       "Electricity.Direct.Use..Billion.Kilowatthours.                                                       -0.166152\n",
       "Av.Rel.Humid                                                                                         -0.147445\n",
       "Natural.Gas.Consumed.by.the.Transportation.Sector..Pipelines.and.Distribution..Billion.Cubic.Feet.   -0.072004\n",
       "Natural.Gas.Consumed.by.the.Other.Industrial.Sector..Non.CHP..Billion.Cubic.Feet.                    -0.067344\n",
       "Hydro.Consumption.TrillBtu.                                                                          -0.061106\n",
       "Natural.Gas.Consumed.by.the.Transportation.Sector..Total..Billion.Cubic.Feet.                        -0.031524\n",
       "Natural.Gas.Consumption..Total..Billion.Cubic.Feet.                                                  -0.010212\n",
       "Natural.Gas.Consumed.by.the.Other.Industrial.Sector..Total..Billion.Cubic.Feet.                      -0.007750\n",
       "GenCalifornia...conventional.hydroelectric.thousand.megawatthours                                     0.026802\n",
       "GenCalifornia..Geothermal.electric.utility                                                            0.043750\n",
       "WoodConsump..TrillBTU.                                                                                0.142796\n",
       "                                                                                                        ...   \n",
       "Av.Daily.Max                                                                                          0.527707\n",
       "Av.Temp                                                                                               0.554092\n",
       "Average.Retail.Price.of.Electricity..Transportation..Cents.per.Kilowatthour...Including.Taxes.        0.555015\n",
       "Electricity.End.Use..Total..Billion.Kilowatthours.                                                    0.568960\n",
       "Electricity.Retail.Sales..Total..Billion.Kilowatthours.                                               0.580757\n",
       "GenCalifornia...other.thousand.megawatthours                                                          0.616173\n",
       "WindConsump.TrillBTU.                                                                                 0.620359\n",
       "GeoConsump.TrillBtu.                                                                                  0.659329\n",
       "Total.RenProd..TrillBtu.                                                                              0.660633\n",
       "Total.Renewable.Consump.TrillBTU.                                                                     0.668511\n",
       "Bio.Prod.Trillion.BTU.                                                                                0.687807\n",
       "WasteConsump.TrillBTU.                                                                                0.690666\n",
       "GDP                                                                                                   0.699074\n",
       "BioMass.Prod.Trill.BTU.                                                                               0.706659\n",
       "Biofuels.Consump.TrillBTU.                                                                            0.709768\n",
       "Solar.Consump.TrillionBTU.                                                                            0.711407\n",
       "Total.Biomass.Consump.TrillBTU.                                                                       0.722649\n",
       "Natural.Gas.Consumed.by.the.Transportation.Sector..Vehicle.Fuel..Billion.Cubic.Feet.                  0.726550\n",
       "Average.Retail.Price.of.Electricity..Industrial..Cents.per.Kilowatthour...Including.Taxes.            0.733128\n",
       "Natural.Gas.Consumed.by.the.Industrial.Sector..Lease.and.Plant.Fuel..Billion.Cubic.Feet.              0.740880\n",
       "Electricity.Imports..Billion.Kilowatthours.                                                           0.748090\n",
       "Electricity.Net.Imports..Billion.Kilowatthours.                                                       0.753994\n",
       "GenCalifornia...other.renewables.thousand.megawatthours                                               0.766819\n",
       "Average.Retail.Price.of.Electricity..Commercial..Cents.per.Kilowatthour...Including.Taxes.            0.772211\n",
       "Average.Retail.Price.of.Electricity..Residential..Cents.per.Kilowatthour...Including.Taxes.           0.784360\n",
       "Average.Retail.Price.of.Electricity..Total..Cents.per.Kilowatthour...Including.Taxes.                 0.794039\n",
       "Electricity.Net.Generation..Commercial.Sector..Billion.Kilowatthours.                                 0.813176\n",
       "Natural.Gas.Consumed.by.the.Electric.Power.Sector..Billion.Cubic.Feet.                                0.854428\n",
       "PrCalifornia...all.sectors.cents.per.kilowatthour                                                     1.000000\n",
       "Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour           1.000000\n",
       "Name: Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour, Length: 73, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrs = data.corr()\n",
    "corrs = corrs['Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour']\n",
    "corrs.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Month',\n",
       "       'GenCalifornia...all.fuels..utility.scale..thousand.megawatthours',\n",
       "       'GenCalifornia...coal.thousand.megawatthours',\n",
       "       'GenCalifornia...petroleum.liquids.thousand.megawatthours',\n",
       "       'GenCalifornia...petroleum.coke.thousand.megawatthours',\n",
       "       'GenCalifornia...natural.gas.thousand.megawatthours',\n",
       "       'GenCalifornia...other.gases.thousand.megawatthours',\n",
       "       'GenCalifornia...nuclear.thousand.megawatthours',\n",
       "       'GenCalifornia...conventional.hydroelectric.thousand.megawatthours',\n",
       "       'GenCalifornia...other.renewables.thousand.megawatthours',\n",
       "       'GenCalifornia...hydro.electric.pumped.storage.thousand.megawatthours',\n",
       "       'GenCalifornia...other.thousand.megawatthours',\n",
       "       'GenCalifornia..Geothermal.electricity.Total',\n",
       "       'GenCalifornia..Geothermal.electric.utility',\n",
       "       'GenCalifornia..Independent.Power.producers', 'GDP', 'Av.Temp',\n",
       "       'Av.Daily.Max', 'Av.Rel.Humid',\n",
       "       'PrCalifornia...all.sectors.cents.per.kilowatthour',\n",
       "       'Bio.Prod.Trillion.BTU.', 'BioMass.Prod.Trill.BTU.',\n",
       "       'Total.RenProd..TrillBtu.', 'Hydro.Consumption.TrillBtu.',\n",
       "       'GeoConsump.TrillBtu.', 'Solar.Consump.TrillionBTU.',\n",
       "       'WindConsump.TrillBTU.', 'WoodConsump..TrillBTU.',\n",
       "       'WasteConsump.TrillBTU.', 'Biofuels.Consump.TrillBTU.',\n",
       "       'Total.Biomass.Consump.TrillBTU.', 'Total.Renewable.Consump.TrillBTU.',\n",
       "       'Natural.Gas.Price..Citygate..Dollars.per.Thousand.Cubic.Feet.',\n",
       "       'Natural.Gas.Price..Delivered.to.Consumers..Residential..Dollars.per.Thousand.Cubic.Feet.',\n",
       "       'Percentage.of.Residential.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.',\n",
       "       'Natural.Gas.Price..Delivered.to.Consumers..Commercial..Dollars.per.Thousand.Cubic.Feet.',\n",
       "       'Percentage.of.Commercial.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.',\n",
       "       'Natural.Gas.Price..Delivered.to.Consumers..Industrial..Dollars.per.Thousand.Cubic.Feet.',\n",
       "       'Percentage.of.Industrial.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.',\n",
       "       'Natural.Gas.Price..Electric.Power.Sector..Dollars.per.Thousand.Cubic.Feet.',\n",
       "       'Percentage.of.Electric.Power.Sector.Consumption.for.Which.Price.Data.Are.Available..Percent.',\n",
       "       'Electricity.Net.Generation..Electric.Power.Sector..Billion.Kilowatthours.',\n",
       "       'Electricity.Net.Generation..Commercial.Sector..Billion.Kilowatthours.',\n",
       "       'Electricity.Net.Generation..Industrial.Sector..Billion.Kilowatthours.',\n",
       "       'Electricity.Net.Generation..Total..Billion.Kilowatthours.',\n",
       "       'Electricity.Imports..Billion.Kilowatthours.',\n",
       "       'Electricity.Exports..Billion.Kilowatthours.',\n",
       "       'Electricity.Net.Imports..Billion.Kilowatthours.',\n",
       "       'Transmission.and.Distribution.Losses.and.Unaccounted.for..Billion.Kilowatthours.',\n",
       "       'Electricity.Retail.Sales..Total..Billion.Kilowatthours.',\n",
       "       'Electricity.Direct.Use..Billion.Kilowatthours.',\n",
       "       'Electricity.End.Use..Total..Billion.Kilowatthours.',\n",
       "       'Average.Retail.Price.of.Electricity..Residential..Cents.per.Kilowatthour...Including.Taxes.',\n",
       "       'Average.Retail.Price.of.Electricity..Commercial..Cents.per.Kilowatthour...Including.Taxes.',\n",
       "       'Average.Retail.Price.of.Electricity..Industrial..Cents.per.Kilowatthour...Including.Taxes.',\n",
       "       'Average.Retail.Price.of.Electricity..Transportation..Cents.per.Kilowatthour...Including.Taxes.',\n",
       "       'Average.Retail.Price.of.Electricity..Total..Cents.per.Kilowatthour...Including.Taxes.',\n",
       "       'Natural.Gas.Consumed.by.the.Residential.Sector..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Commercial.Sector..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Industrial.Sector..Lease.and.Plant.Fuel..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Other.Industrial.Sector..CHP..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Other.Industrial.Sector..Non.CHP..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Other.Industrial.Sector..Total..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Industrial.Sector..Total..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Transportation.Sector..Pipelines.and.Distribution..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Transportation.Sector..Vehicle.Fuel..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Transportation.Sector..Total..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumed.by.the.Electric.Power.Sector..Billion.Cubic.Feet.',\n",
       "       'Natural.Gas.Consumption..Total..Billion.Cubic.Feet.',\n",
       "       'Average.retail.price.of.electricity.monthly.California...all.sectors.cents.per.kilowatthour',\n",
       "       'Consumption.for.electricity.generation.for.all.sectors.monthly.California...coal.thousand.tons',\n",
       "       'Consumption.for.electricity.generation.for.natural.gas.monthly.California...all.sectors.thousand.Mcf',\n",
       "       'Retail.sales.of.electricity.monthly.California...all.sectors.million.kilowatthours',\n",
       "       'Total.consumption.for.all.sectors.monthly.California...coal.thousand.tons'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most correlated columns: \n",
    "**GenCalifornia...other.thousand.megawatthours                                                          0.616173\n",
    "WindConsump.TrillBTU.                                                                                 0.620359\n",
    "GeoConsump.TrillBtu.                                                                                  0.659329\n",
    "Total.RenProd..TrillBtu.                                                                              0.660633\n",
    "Total.Renewable.Consump.TrillBTU.                                                                     0.668511\n",
    "Bio.Prod.Trillion.BTU.                                                                                0.687807\n",
    "WasteConsump.TrillBTU.                                                                                0.690666\n",
    "GDP                                                                                                   0.699074\n",
    "BioMass.Prod.Trill.BTU.                                                                               0.706659\n",
    "Biofuels.Consump.TrillBTU.                                                                            0.709768\n",
    "Solar.Consump.TrillionBTU.                                                                            0.711407\n",
    "Total.Biomass.Consump.TrillBTU.                                                                       0.722649**\n",
    "Natural.Gas.Consumed.by.the.Transportation.Sector..Vehicle.Fuel..Billion.Cubic.Feet.                  0.726550\n",
    "Average.Retail.Price.of.Electricity..Industrial..Cents.per.Kilowatthour...Including.Taxes.            0.733128\n",
    "Natural.Gas.Consumed.by.the.Industrial.Sector..Lease.and.Plant.Fuel..Billion.Cubic.Feet.              0.740880\n",
    "Electricity.Imports..Billion.Kilowatthours.                                                           0.748090\n",
    "Electricity.Net.Imports..Billion.Kilowatthours.                                                       0.753994\n",
    "GenCalifornia...other.renewables.thousand.megawatthours                                               0.766819\n",
    "\n",
    "**Total.consumption.for.all.sectors.monthly.California...coal.thousand.tons                            -0.601425**\n",
    "GenCalifornia...coal.thousand.megawatthours                                                          -0.579910\n",
    "Consumption.for.electricity.generation.for.all.sectors.monthly.California...coal.thousand.tons       -0.576642\n",
    "Electricity.Exports..Billion.Kilowatthours.                                                          -0.523275\n",
    "Natural.Gas.Price..Electric.Power.Sector..Dollars.per.Thousand.Cubic.Feet.                           -0.443946\n",
    "Natural.Gas.Consumed.by.the.Residential.Sector..Billion.Cubic.Feet.                                  -0.435300\n",
    "Natural.Gas.Price..Delivered.to.Consumers..Industrial..Dollars.per.Thousand.Cubic.Feet.              -0.434391\n",
    "GenCalifornia...nuclear.thousand.megawatthours                                                       -0.414058"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "new = data[['GenCalifornia...other.renewables.thousand.megawatthours', 'Solar.Consump.TrillionBTU.']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/saranshgupta/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GenCalifornia...other.renewables.thousand.megawatthours</th>\n",
       "      <th>Solar.Consump.TrillionBTU.</th>\n",
       "      <th>Solar megawatthour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5008.53970</td>\n",
       "      <td>82.763</td>\n",
       "      <td>2.425544e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5388.18090</td>\n",
       "      <td>88.257</td>\n",
       "      <td>2.586557e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5532.79051</td>\n",
       "      <td>83.532</td>\n",
       "      <td>2.448081e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5155.78836</td>\n",
       "      <td>71.658</td>\n",
       "      <td>2.100088e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5062.00859</td>\n",
       "      <td>65.959</td>\n",
       "      <td>1.933067e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3779.51351</td>\n",
       "      <td>41.091</td>\n",
       "      <td>1.204258e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3913.74114</td>\n",
       "      <td>35.950</td>\n",
       "      <td>1.053590e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3502.08061</td>\n",
       "      <td>36.521</td>\n",
       "      <td>1.070325e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3425.83053</td>\n",
       "      <td>41.581</td>\n",
       "      <td>1.218619e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4109.85423</td>\n",
       "      <td>49.953</td>\n",
       "      <td>1.463978e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4444.97864</td>\n",
       "      <td>56.810</td>\n",
       "      <td>1.664936e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5191.68354</td>\n",
       "      <td>61.967</td>\n",
       "      <td>1.816073e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5509.35861</td>\n",
       "      <td>64.135</td>\n",
       "      <td>1.879611e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5032.83410</td>\n",
       "      <td>58.663</td>\n",
       "      <td>1.719242e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5102.01842</td>\n",
       "      <td>58.012</td>\n",
       "      <td>1.700163e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4338.85280</td>\n",
       "      <td>49.638</td>\n",
       "      <td>1.454746e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4266.06146</td>\n",
       "      <td>45.164</td>\n",
       "      <td>1.323626e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3301.31499</td>\n",
       "      <td>37.708</td>\n",
       "      <td>1.105112e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3038.41003</td>\n",
       "      <td>26.946</td>\n",
       "      <td>7.897091e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3322.63289</td>\n",
       "      <td>27.201</td>\n",
       "      <td>7.971824e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3108.11761</td>\n",
       "      <td>29.627</td>\n",
       "      <td>8.682815e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3272.57857</td>\n",
       "      <td>34.270</td>\n",
       "      <td>1.004354e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3579.95322</td>\n",
       "      <td>38.951</td>\n",
       "      <td>1.141541e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4770.13361</td>\n",
       "      <td>45.238</td>\n",
       "      <td>1.325795e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4671.01915</td>\n",
       "      <td>44.931</td>\n",
       "      <td>1.316797e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4786.02364</td>\n",
       "      <td>43.201</td>\n",
       "      <td>1.266096e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>4737.98415</td>\n",
       "      <td>42.508</td>\n",
       "      <td>1.245786e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4095.32478</td>\n",
       "      <td>39.551</td>\n",
       "      <td>1.159125e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3651.89259</td>\n",
       "      <td>34.904</td>\n",
       "      <td>1.022935e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2930.35959</td>\n",
       "      <td>25.046</td>\n",
       "      <td>7.340256e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2239.39425</td>\n",
       "      <td>6.150</td>\n",
       "      <td>1.802387e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>1970.77330</td>\n",
       "      <td>5.873</td>\n",
       "      <td>1.721206e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>1994.02620</td>\n",
       "      <td>5.308</td>\n",
       "      <td>1.555621e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>1983.00670</td>\n",
       "      <td>4.768</td>\n",
       "      <td>1.397363e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>1703.77575</td>\n",
       "      <td>3.273</td>\n",
       "      <td>9.592214e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>1788.37480</td>\n",
       "      <td>3.003</td>\n",
       "      <td>8.800922e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>1777.01280</td>\n",
       "      <td>3.649</td>\n",
       "      <td>1.069416e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>1758.81348</td>\n",
       "      <td>4.085</td>\n",
       "      <td>1.197195e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>1942.42568</td>\n",
       "      <td>4.946</td>\n",
       "      <td>1.449529e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>1954.52568</td>\n",
       "      <td>5.616</td>\n",
       "      <td>1.645887e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2189.71536</td>\n",
       "      <td>6.333</td>\n",
       "      <td>1.856019e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2204.88500</td>\n",
       "      <td>6.499</td>\n",
       "      <td>1.904668e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2234.09308</td>\n",
       "      <td>6.334</td>\n",
       "      <td>1.856312e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2077.29368</td>\n",
       "      <td>5.901</td>\n",
       "      <td>1.729412e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>1895.40032</td>\n",
       "      <td>5.280</td>\n",
       "      <td>1.547415e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>1933.86384</td>\n",
       "      <td>4.819</td>\n",
       "      <td>1.412309e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>1626.95380</td>\n",
       "      <td>3.410</td>\n",
       "      <td>9.993721e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>1811.99852</td>\n",
       "      <td>3.056</td>\n",
       "      <td>8.956250e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>1689.58857</td>\n",
       "      <td>3.763</td>\n",
       "      <td>1.102826e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>1610.57418</td>\n",
       "      <td>4.068</td>\n",
       "      <td>1.192213e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>1759.08435</td>\n",
       "      <td>4.994</td>\n",
       "      <td>1.463597e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>1843.36061</td>\n",
       "      <td>5.913</td>\n",
       "      <td>1.732929e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2040.64779</td>\n",
       "      <td>6.630</td>\n",
       "      <td>1.943061e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2063.53758</td>\n",
       "      <td>6.760</td>\n",
       "      <td>1.981160e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>1982.97542</td>\n",
       "      <td>6.476</td>\n",
       "      <td>1.897928e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>1831.96794</td>\n",
       "      <td>6.322</td>\n",
       "      <td>1.852795e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>1797.49360</td>\n",
       "      <td>5.368</td>\n",
       "      <td>1.573205e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>1788.32478</td>\n",
       "      <td>4.833</td>\n",
       "      <td>1.416412e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>1504.66303</td>\n",
       "      <td>3.401</td>\n",
       "      <td>9.967345e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>1717.39841</td>\n",
       "      <td>3.102</td>\n",
       "      <td>9.091062e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>199 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     GenCalifornia...other.renewables.thousand.megawatthours  \\\n",
       "0                                           5008.53970         \n",
       "1                                           5388.18090         \n",
       "2                                           5532.79051         \n",
       "3                                           5155.78836         \n",
       "4                                           5062.00859         \n",
       "5                                           3779.51351         \n",
       "6                                           3913.74114         \n",
       "7                                           3502.08061         \n",
       "8                                           3425.83053         \n",
       "9                                           4109.85423         \n",
       "10                                          4444.97864         \n",
       "11                                          5191.68354         \n",
       "12                                          5509.35861         \n",
       "13                                          5032.83410         \n",
       "14                                          5102.01842         \n",
       "15                                          4338.85280         \n",
       "16                                          4266.06146         \n",
       "17                                          3301.31499         \n",
       "18                                          3038.41003         \n",
       "19                                          3322.63289         \n",
       "20                                          3108.11761         \n",
       "21                                          3272.57857         \n",
       "22                                          3579.95322         \n",
       "23                                          4770.13361         \n",
       "24                                          4671.01915         \n",
       "25                                          4786.02364         \n",
       "26                                          4737.98415         \n",
       "27                                          4095.32478         \n",
       "28                                          3651.89259         \n",
       "29                                          2930.35959         \n",
       "..                                                 ...         \n",
       "169                                         2239.39425         \n",
       "170                                         1970.77330         \n",
       "171                                         1994.02620         \n",
       "172                                         1983.00670         \n",
       "173                                         1703.77575         \n",
       "174                                         1788.37480         \n",
       "175                                         1777.01280         \n",
       "176                                         1758.81348         \n",
       "177                                         1942.42568         \n",
       "178                                         1954.52568         \n",
       "179                                         2189.71536         \n",
       "180                                         2204.88500         \n",
       "181                                         2234.09308         \n",
       "182                                         2077.29368         \n",
       "183                                         1895.40032         \n",
       "184                                         1933.86384         \n",
       "185                                         1626.95380         \n",
       "186                                         1811.99852         \n",
       "187                                         1689.58857         \n",
       "188                                         1610.57418         \n",
       "189                                         1759.08435         \n",
       "190                                         1843.36061         \n",
       "191                                         2040.64779         \n",
       "192                                         2063.53758         \n",
       "193                                         1982.97542         \n",
       "194                                         1831.96794         \n",
       "195                                         1797.49360         \n",
       "196                                         1788.32478         \n",
       "197                                         1504.66303         \n",
       "198                                         1717.39841         \n",
       "\n",
       "     Solar.Consump.TrillionBTU.  Solar megawatthour  \n",
       "0                        82.763        2.425544e+07  \n",
       "1                        88.257        2.586557e+07  \n",
       "2                        83.532        2.448081e+07  \n",
       "3                        71.658        2.100088e+07  \n",
       "4                        65.959        1.933067e+07  \n",
       "5                        41.091        1.204258e+07  \n",
       "6                        35.950        1.053590e+07  \n",
       "7                        36.521        1.070325e+07  \n",
       "8                        41.581        1.218619e+07  \n",
       "9                        49.953        1.463978e+07  \n",
       "10                       56.810        1.664936e+07  \n",
       "11                       61.967        1.816073e+07  \n",
       "12                       64.135        1.879611e+07  \n",
       "13                       58.663        1.719242e+07  \n",
       "14                       58.012        1.700163e+07  \n",
       "15                       49.638        1.454746e+07  \n",
       "16                       45.164        1.323626e+07  \n",
       "17                       37.708        1.105112e+07  \n",
       "18                       26.946        7.897091e+06  \n",
       "19                       27.201        7.971824e+06  \n",
       "20                       29.627        8.682815e+06  \n",
       "21                       34.270        1.004354e+07  \n",
       "22                       38.951        1.141541e+07  \n",
       "23                       45.238        1.325795e+07  \n",
       "24                       44.931        1.316797e+07  \n",
       "25                       43.201        1.266096e+07  \n",
       "26                       42.508        1.245786e+07  \n",
       "27                       39.551        1.159125e+07  \n",
       "28                       34.904        1.022935e+07  \n",
       "29                       25.046        7.340256e+06  \n",
       "..                          ...                 ...  \n",
       "169                       6.150        1.802387e+06  \n",
       "170                       5.873        1.721206e+06  \n",
       "171                       5.308        1.555621e+06  \n",
       "172                       4.768        1.397363e+06  \n",
       "173                       3.273        9.592214e+05  \n",
       "174                       3.003        8.800922e+05  \n",
       "175                       3.649        1.069416e+06  \n",
       "176                       4.085        1.197195e+06  \n",
       "177                       4.946        1.449529e+06  \n",
       "178                       5.616        1.645887e+06  \n",
       "179                       6.333        1.856019e+06  \n",
       "180                       6.499        1.904668e+06  \n",
       "181                       6.334        1.856312e+06  \n",
       "182                       5.901        1.729412e+06  \n",
       "183                       5.280        1.547415e+06  \n",
       "184                       4.819        1.412309e+06  \n",
       "185                       3.410        9.993721e+05  \n",
       "186                       3.056        8.956250e+05  \n",
       "187                       3.763        1.102826e+06  \n",
       "188                       4.068        1.192213e+06  \n",
       "189                       4.994        1.463597e+06  \n",
       "190                       5.913        1.732929e+06  \n",
       "191                       6.630        1.943061e+06  \n",
       "192                       6.760        1.981160e+06  \n",
       "193                       6.476        1.897928e+06  \n",
       "194                       6.322        1.852795e+06  \n",
       "195                       5.368        1.573205e+06  \n",
       "196                       4.833        1.416412e+06  \n",
       "197                       3.401        9.967345e+05  \n",
       "198                       3.102        9.091062e+05  \n",
       "\n",
       "[199 rows x 3 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new['Solar megawatthour'] = new['Solar.Consump.TrillionBTU.'] * 2.93071e-7 * 1000000000000\n",
    "new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "new = new.reindex(index=new.index[::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x11bb7d2b0>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x11bd25630>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x11bd72a58>], dtype=object)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Qn25LY/V3JwCIDTu7pGHnO91Z9LcAFRqN5hJgCvAGMAx4WaPRXNry73NJknyB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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bb744e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new.plot(subplots=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corrs = data.corr()\n",
    "corrs = corrs['']\n",
    "corrs.sort_values()"
   ]
  }
 ],
 "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}