voll_calculation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "#sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# source: http://opendatalab.de/projects/geojson-utilities/\n",
    "gdf = gpd.read_file(\"Data\\landkreise_simplify200.geojson\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf.loc[:,\"stat_bnd_amt_id\"] = gdf[\"AGS\"].apply(lambda x: x[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove some columns and reduce to actual nuts3\n",
    "gdf.columns\n",
    "gdf.drop(columns=['IBZ', 'BEM', 'NBD', 'SN_L', 'SN_R', 'SN_K', 'SN_V1','SN_V2', 'SN_G', 'FK_S3','ADE', 'GF', 'BSG', 'RS', 'AGS', 'SDV_RS',\"RS_0\",\"AGS_0\"], inplace=True)\n",
    "gdf.index = gdf[\"stat_bnd_amt_id\"]\n",
    "gdf = gdf.loc[gdf.index.drop_duplicates(),:]\n",
    "\n",
    "# expand dict stored in \"destatis\" column containing population information\n",
    "geo_df = pd.concat([gdf.drop(columns=\"destatis\"), gdf[\"destatis\"].apply(pd.Series)],axis=1)\n",
    "geo_df = geo_df.loc[~geo_df.index.duplicated(),:]\n",
    "# there are 401 nuts3 regions\n",
    "len(gdf),len(geo_df)\n",
    "assert len(geo_df)==401"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEN</th>\n",
       "      <th>BEZ</th>\n",
       "      <th>NUTS</th>\n",
       "      <th>WSK</th>\n",
       "      <th>DEBKG_ID</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th>population</th>\n",
       "      <th>population_m</th>\n",
       "      <th>population_w</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>08235</th>\n",
       "      <td>Calw</td>\n",
       "      <td>Landkreis</td>\n",
       "      <td>DE12A</td>\n",
       "      <td>2009-01-01</td>\n",
       "      <td>DEBKGDL20000E449</td>\n",
       "      <td>POLYGON ((8.39364 48.83395, 8.41152 48.83013, ...</td>\n",
       "      <td>08235</td>\n",
       "      <td>158397</td>\n",
       "      <td>79514</td>\n",
       "      <td>78883</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  GEN        BEZ   NUTS         WSK          DEBKG_ID  \\\n",
       "stat_bnd_amt_id                                                         \n",
       "08235            Calw  Landkreis  DE12A  2009-01-01  DEBKGDL20000E449   \n",
       "\n",
       "                                                          geometry  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "08235            POLYGON ((8.39364 48.83395, 8.41152 48.83013, ...   \n",
       "\n",
       "                stat_bnd_amt_id  population  population_m  population_w  \n",
       "stat_bnd_amt_id                                                          \n",
       "08235                     08235      158397         79514         78883  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df[geo_df['stat_bnd_amt_id']=='08235']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEN</th>\n",
       "      <th>BEZ</th>\n",
       "      <th>NUTS</th>\n",
       "      <th>WSK</th>\n",
       "      <th>DEBKG_ID</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th>population</th>\n",
       "      <th>population_m</th>\n",
       "      <th>population_w</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01001</th>\n",
       "      <td>Flensburg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF01</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>DEBKGDL20000002R</td>\n",
       "      <td>POLYGON ((9.41266 54.82264, 9.42293 54.82322, ...</td>\n",
       "      <td>01001</td>\n",
       "      <td>89504</td>\n",
       "      <td>44599</td>\n",
       "      <td>44905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01002</th>\n",
       "      <td>Kiel</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF02</td>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>DEBKGDL20000E43X</td>\n",
       "      <td>POLYGON ((10.16916 54.43138, 10.18877 54.41108...</td>\n",
       "      <td>01002</td>\n",
       "      <td>247548</td>\n",
       "      <td>120566</td>\n",
       "      <td>126982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01003</th>\n",
       "      <td>Lübeck</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF03</td>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>DEBKGDL20000DYM9</td>\n",
       "      <td>POLYGON ((10.87684 53.98737, 10.88454 53.97820...</td>\n",
       "      <td>01003</td>\n",
       "      <td>217198</td>\n",
       "      <td>104371</td>\n",
       "      <td>112827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01004</th>\n",
       "      <td>Neumünster</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF04</td>\n",
       "      <td>1970-04-26</td>\n",
       "      <td>DEBKGDL20000E4KX</td>\n",
       "      <td>POLYGON ((9.99545 54.14972, 10.00821 54.14217,...</td>\n",
       "      <td>01004</td>\n",
       "      <td>79487</td>\n",
       "      <td>39241</td>\n",
       "      <td>40246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01051</th>\n",
       "      <td>Dithmarschen</td>\n",
       "      <td>Kreis</td>\n",
       "      <td>DEF05</td>\n",
       "      <td>2011-08-01</td>\n",
       "      <td>DEBKGDL20000E14G</td>\n",
       "      <td>MULTIPOLYGON (((9.07402 54.36277, 9.08209 54.3...</td>\n",
       "      <td>01051</td>\n",
       "      <td>133210</td>\n",
       "      <td>65720</td>\n",
       "      <td>67490</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          GEN               BEZ   NUTS         WSK  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "01001               Flensburg  Kreisfreie Stadt  DEF01  2008-01-01   \n",
       "01002                    Kiel  Kreisfreie Stadt  DEF02  2006-01-01   \n",
       "01003                  Lübeck  Kreisfreie Stadt  DEF03  2006-02-01   \n",
       "01004              Neumünster  Kreisfreie Stadt  DEF04  1970-04-26   \n",
       "01051            Dithmarschen             Kreis  DEF05  2011-08-01   \n",
       "\n",
       "                         DEBKG_ID  \\\n",
       "stat_bnd_amt_id                     \n",
       "01001            DEBKGDL20000002R   \n",
       "01002            DEBKGDL20000E43X   \n",
       "01003            DEBKGDL20000DYM9   \n",
       "01004            DEBKGDL20000E4KX   \n",
       "01051            DEBKGDL20000E14G   \n",
       "\n",
       "                                                          geometry  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "01001            POLYGON ((9.41266 54.82264, 9.42293 54.82322, ...   \n",
       "01002            POLYGON ((10.16916 54.43138, 10.18877 54.41108...   \n",
       "01003            POLYGON ((10.87684 53.98737, 10.88454 53.97820...   \n",
       "01004            POLYGON ((9.99545 54.14972, 10.00821 54.14217,...   \n",
       "01051            MULTIPOLYGON (((9.07402 54.36277, 9.08209 54.3...   \n",
       "\n",
       "                stat_bnd_amt_id  population  population_m  population_w  \n",
       "stat_bnd_amt_id                                                          \n",
       "01001                     01001       89504         44599         44905  \n",
       "01002                     01002      247548        120566        126982  \n",
       "01003                     01003      217198        104371        112827  \n",
       "01004                     01004       79487         39241         40246  \n",
       "01051                     01051      133210         65720         67490  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Kreisfreie Stadt', 'Kreis', 'Landkreis', 'Stadtkreis'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf[\"BEZ\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "entgeld_df = pd.read_excel(\"Data\\entgelt-d-0-201712-xlsm.xlsm\",sheet_name=\"16.2\",)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 1</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "      <th>Unnamed: 5</th>\n",
       "      <th>Unnamed: 6</th>\n",
       "      <th>Unnamed: 7</th>\n",
       "      <th>Unnamed: 8</th>\n",
       "      <th>Unnamed: 9</th>\n",
       "      <th>Unnamed: 10</th>\n",
       "      <th>Unnamed: 11</th>\n",
       "      <th>Unnamed: 12</th>\n",
       "      <th>Beschäftigungsstatistik</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Region</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Median der erzielten Entgelte (in €)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Insgesamt (Arbeitsort)</td>\n",
       "      <td>davon:</td>\n",
       "      <td>NaN</td>\n",
       "      <td>darunter:</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Insgesamt (Wohnort)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Männer</td>\n",
       "      <td>Frauen</td>\n",
       "      <td>Deutsche</td>\n",
       "      <td>Ausländer</td>\n",
       "      <td>15 bis unter \\n25 Jahre</td>\n",
       "      <td>25 bis unter \\n55 Jahre</td>\n",
       "      <td>55 bis unter \\n65 Jahre</td>\n",
       "      <td>ohne Berufs-abschluss</td>\n",
       "      <td>anerkannter\\nBerufsabschluss</td>\n",
       "      <td>akademischer\\nBerufsabscluss</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unnamed: 0  Unnamed: 1                            Unnamed: 2 Unnamed: 3  \\\n",
       "5     Region         NaN  Median der erzielten Entgelte (in €)        NaN   \n",
       "6        NaN         NaN                Insgesamt (Arbeitsort)     davon:   \n",
       "7        NaN         NaN                                   NaN     Männer   \n",
       "8        NaN         NaN                                     1          2   \n",
       "\n",
       "  Unnamed: 4 Unnamed: 5 Unnamed: 6               Unnamed: 7  \\\n",
       "5        NaN        NaN        NaN                      NaN   \n",
       "6        NaN  darunter:        NaN                      NaN   \n",
       "7     Frauen   Deutsche  Ausländer  15 bis unter \\n25 Jahre   \n",
       "8          3          4          5                        6   \n",
       "\n",
       "                Unnamed: 8               Unnamed: 9            Unnamed: 10  \\\n",
       "5                      NaN                      NaN                    NaN   \n",
       "6                      NaN                      NaN                    NaN   \n",
       "7  25 bis unter \\n55 Jahre  55 bis unter \\n65 Jahre  ohne Berufs-abschluss   \n",
       "8                        7                        8                      9   \n",
       "\n",
       "                    Unnamed: 11                   Unnamed: 12  \\\n",
       "5                           NaN                           NaN   \n",
       "6                           NaN                           NaN   \n",
       "7  anerkannter\\nBerufsabschluss  akademischer\\nBerufsabscluss   \n",
       "8                            10                            11   \n",
       "\n",
       "  Beschäftigungsstatistik  \n",
       "5                     NaN  \n",
       "6     Insgesamt (Wohnort)  \n",
       "7                     NaN  \n",
       "8                      12  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  this contains the proper column names\n",
    "entgeld_df.loc[5:8,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = [\"Region\", \"ID\", entgeld_df.iloc[6,2], *entgeld_df.iloc[7,3:13].to_list(), entgeld_df[\"Beschäftigungsstatistik\"][6]]\n",
    "#entgeld_df.columns = cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Insgesamt (Arbeitsort)</th>\n",
       "      <th>Männer</th>\n",
       "      <th>Frauen</th>\n",
       "      <th>Deutsche</th>\n",
       "      <th>Ausländer</th>\n",
       "      <th>15 bis unter \\n25 Jahre</th>\n",
       "      <th>25 bis unter \\n55 Jahre</th>\n",
       "      <th>55 bis unter \\n65 Jahre</th>\n",
       "      <th>ohne Berufs-abschluss</th>\n",
       "      <th>anerkannter\\nBerufsabschluss</th>\n",
       "      <th>akademischer\\nBerufsabscluss</th>\n",
       "      <th>Insgesamt (Wohnort)</th>\n",
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       "    <tr>\n",
       "      <th>ID</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01001</th>\n",
       "      <td>Flensburg, Stadt</td>\n",
       "      <td>2986.055556</td>\n",
       "      <td>3167.028926</td>\n",
       "      <td>2678.237226</td>\n",
       "      <td>3083.474138</td>\n",
       "      <td>1677.488636</td>\n",
       "      <td>1993.5</td>\n",
       "      <td>2992.490291</td>\n",
       "      <td>3372.760274</td>\n",
       "      <td>1934.875</td>\n",
       "      <td>3015.884615</td>\n",
       "      <td>4468.147059</td>\n",
       "      <td>2758.948276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01002</th>\n",
       "      <td>Kiel, Landeshauptstadt</td>\n",
       "      <td>3303.962273</td>\n",
       "      <td>3465.306678</td>\n",
       "      <td>3108.004873</td>\n",
       "      <td>3336.632812</td>\n",
       "      <td>2401.141026</td>\n",
       "      <td>2218.510753</td>\n",
       "      <td>3295.898593</td>\n",
       "      <td>3693.397727</td>\n",
       "      <td>2383.108696</td>\n",
       "      <td>3178.778146</td>\n",
       "      <td>4925.837838</td>\n",
       "      <td>3148.856511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01003</th>\n",
       "      <td>Lübeck, Hansestadt</td>\n",
       "      <td>3035.921109</td>\n",
       "      <td>3121.775605</td>\n",
       "      <td>2881.505587</td>\n",
       "      <td>3105.191211</td>\n",
       "      <td>2008.758929</td>\n",
       "      <td>2115.717391</td>\n",
       "      <td>3055.292561</td>\n",
       "      <td>3323.544693</td>\n",
       "      <td>2154.477273</td>\n",
       "      <td>3012.222798</td>\n",
       "      <td>4793.809859</td>\n",
       "      <td>3022.366925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01004</th>\n",
       "      <td>Neumünster, Stadt</td>\n",
       "      <td>2841.743194</td>\n",
       "      <td>2896.099022</td>\n",
       "      <td>2674.631944</td>\n",
       "      <td>2873.796501</td>\n",
       "      <td>2235.115385</td>\n",
       "      <td>2173.755814</td>\n",
       "      <td>2872.1133</td>\n",
       "      <td>3012.184783</td>\n",
       "      <td>2323.5</td>\n",
       "      <td>2867.481132</td>\n",
       "      <td>4859.590909</td>\n",
       "      <td>2800.877644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01051</th>\n",
       "      <td>Dithmarschen</td>\n",
       "      <td>2913.626492</td>\n",
       "      <td>3068.581181</td>\n",
       "      <td>2440.717391</td>\n",
       "      <td>2955.242547</td>\n",
       "      <td>1952.473684</td>\n",
       "      <td>2221.333333</td>\n",
       "      <td>2923.9375</td>\n",
       "      <td>3247.6875</td>\n",
       "      <td>2237.596774</td>\n",
       "      <td>2940.836134</td>\n",
       "      <td>5218</td>\n",
       "      <td>2971.936526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Region Insgesamt (Arbeitsort)       Männer  \\\n",
       "ID                                                                  \n",
       "01001        Flensburg, Stadt            2986.055556  3167.028926   \n",
       "01002  Kiel, Landeshauptstadt            3303.962273  3465.306678   \n",
       "01003      Lübeck, Hansestadt            3035.921109  3121.775605   \n",
       "01004       Neumünster, Stadt            2841.743194  2896.099022   \n",
       "01051            Dithmarschen            2913.626492  3068.581181   \n",
       "\n",
       "            Frauen     Deutsche    Ausländer 15 bis unter \\n25 Jahre  \\\n",
       "ID                                                                     \n",
       "01001  2678.237226  3083.474138  1677.488636                  1993.5   \n",
       "01002  3108.004873  3336.632812  2401.141026             2218.510753   \n",
       "01003  2881.505587  3105.191211  2008.758929             2115.717391   \n",
       "01004  2674.631944  2873.796501  2235.115385             2173.755814   \n",
       "01051  2440.717391  2955.242547  1952.473684             2221.333333   \n",
       "\n",
       "      25 bis unter \\n55 Jahre 55 bis unter \\n65 Jahre ohne Berufs-abschluss  \\\n",
       "ID                                                                            \n",
       "01001             2992.490291             3372.760274              1934.875   \n",
       "01002             3295.898593             3693.397727           2383.108696   \n",
       "01003             3055.292561             3323.544693           2154.477273   \n",
       "01004               2872.1133             3012.184783                2323.5   \n",
       "01051               2923.9375               3247.6875           2237.596774   \n",
       "\n",
       "      anerkannter\\nBerufsabschluss akademischer\\nBerufsabscluss  \\\n",
       "ID                                                                \n",
       "01001                  3015.884615                  4468.147059   \n",
       "01002                  3178.778146                  4925.837838   \n",
       "01003                  3012.222798                  4793.809859   \n",
       "01004                  2867.481132                  4859.590909   \n",
       "01051                  2940.836134                         5218   \n",
       "\n",
       "      Insgesamt (Wohnort)  \n",
       "ID                         \n",
       "01001         2758.948276  \n",
       "01002         3148.856511  \n",
       "01003         3022.366925  \n",
       "01004         2800.877644  \n",
       "01051         2971.936526  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(entgeld_df.iloc[10:-5,:].values, columns=cols) #FK - was 10:-1 before\n",
    "df.loc[:,\"ID\"]=df[\"ID\"].astype(int).apply(lambda x: f\"{x:05}\")\n",
    "df.set_index(\"ID\", inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>GEN</th>\n",
       "      <th>BEZ</th>\n",
       "      <th>NUTS</th>\n",
       "      <th>WSK</th>\n",
       "      <th>DEBKG_ID</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th>population</th>\n",
       "      <th>population_m</th>\n",
       "      <th>population_w</th>\n",
       "      <th>brutto_mon_arbeitsort</th>\n",
       "      <th>brutto_mon_wohnort</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01001</th>\n",
       "      <td>Flensburg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF01</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>DEBKGDL20000002R</td>\n",
       "      <td>POLYGON ((9.41266 54.82264, 9.42293 54.82322, ...</td>\n",
       "      <td>01001</td>\n",
       "      <td>89504</td>\n",
       "      <td>44599</td>\n",
       "      <td>44905</td>\n",
       "      <td>2986.055556</td>\n",
       "      <td>2758.948276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01002</th>\n",
       "      <td>Kiel</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF02</td>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>DEBKGDL20000E43X</td>\n",
       "      <td>POLYGON ((10.16916 54.43138, 10.18877 54.41108...</td>\n",
       "      <td>01002</td>\n",
       "      <td>247548</td>\n",
       "      <td>120566</td>\n",
       "      <td>126982</td>\n",
       "      <td>3303.962273</td>\n",
       "      <td>3148.856511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01003</th>\n",
       "      <td>Lübeck</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF03</td>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>DEBKGDL20000DYM9</td>\n",
       "      <td>POLYGON ((10.87684 53.98737, 10.88454 53.97820...</td>\n",
       "      <td>01003</td>\n",
       "      <td>217198</td>\n",
       "      <td>104371</td>\n",
       "      <td>112827</td>\n",
       "      <td>3035.921109</td>\n",
       "      <td>3022.366925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01004</th>\n",
       "      <td>Neumünster</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF04</td>\n",
       "      <td>1970-04-26</td>\n",
       "      <td>DEBKGDL20000E4KX</td>\n",
       "      <td>POLYGON ((9.99545 54.14972, 10.00821 54.14217,...</td>\n",
       "      <td>01004</td>\n",
       "      <td>79487</td>\n",
       "      <td>39241</td>\n",
       "      <td>40246</td>\n",
       "      <td>2841.743194</td>\n",
       "      <td>2800.877644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01051</th>\n",
       "      <td>Dithmarschen</td>\n",
       "      <td>Kreis</td>\n",
       "      <td>DEF05</td>\n",
       "      <td>2011-08-01</td>\n",
       "      <td>DEBKGDL20000E14G</td>\n",
       "      <td>MULTIPOLYGON (((9.07402 54.36277, 9.08209 54.3...</td>\n",
       "      <td>01051</td>\n",
       "      <td>133210</td>\n",
       "      <td>65720</td>\n",
       "      <td>67490</td>\n",
       "      <td>2913.626492</td>\n",
       "      <td>2971.936526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          GEN               BEZ   NUTS         WSK  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "01001               Flensburg  Kreisfreie Stadt  DEF01  2008-01-01   \n",
       "01002                    Kiel  Kreisfreie Stadt  DEF02  2006-01-01   \n",
       "01003                  Lübeck  Kreisfreie Stadt  DEF03  2006-02-01   \n",
       "01004              Neumünster  Kreisfreie Stadt  DEF04  1970-04-26   \n",
       "01051            Dithmarschen             Kreis  DEF05  2011-08-01   \n",
       "\n",
       "                         DEBKG_ID  \\\n",
       "stat_bnd_amt_id                     \n",
       "01001            DEBKGDL20000002R   \n",
       "01002            DEBKGDL20000E43X   \n",
       "01003            DEBKGDL20000DYM9   \n",
       "01004            DEBKGDL20000E4KX   \n",
       "01051            DEBKGDL20000E14G   \n",
       "\n",
       "                                                          geometry  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "01001            POLYGON ((9.41266 54.82264, 9.42293 54.82322, ...   \n",
       "01002            POLYGON ((10.16916 54.43138, 10.18877 54.41108...   \n",
       "01003            POLYGON ((10.87684 53.98737, 10.88454 53.97820...   \n",
       "01004            POLYGON ((9.99545 54.14972, 10.00821 54.14217,...   \n",
       "01051            MULTIPOLYGON (((9.07402 54.36277, 9.08209 54.3...   \n",
       "\n",
       "                stat_bnd_amt_id  population  population_m  population_w  \\\n",
       "stat_bnd_amt_id                                                           \n",
       "01001                     01001       89504         44599         44905   \n",
       "01002                     01002      247548        120566        126982   \n",
       "01003                     01003      217198        104371        112827   \n",
       "01004                     01004       79487         39241         40246   \n",
       "01051                     01051      133210         65720         67490   \n",
       "\n",
       "                 brutto_mon_arbeitsort  brutto_mon_wohnort  \n",
       "stat_bnd_amt_id                                             \n",
       "01001                      2986.055556         2758.948276  \n",
       "01002                      3303.962273         3148.856511  \n",
       "01003                      3035.921109         3022.366925  \n",
       "01004                      2841.743194         2800.877644  \n",
       "01051                      2913.626492         2971.936526  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add monthly wages to geo_df\n",
    "#geo_df.loc[df.index,[\"brutto_mon_arbeitsort\",\"brutto_mon_wohnort\"]] = df.loc[:,[\"Insgesamt (Arbeitsort)\",\"Insgesamt (Wohnort)\"]].astype(float).values\n",
    "geo_df.loc[df.index,\"brutto_mon_arbeitsort\"] = df[\"Insgesamt (Arbeitsort)\"].astype(float).values\n",
    "geo_df.loc[df.index,\"brutto_mon_wohnort\"] = df[\"Insgesamt (Wohnort)\"].astype(float).values\n",
    "geo_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "demand_df = pd.read_json(\"Data/opendata_ffe_demandregio_spatial_lk401.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "401"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(demand_df[\"id_region\"].astype(str).str[-3:] == \"000\")\n",
    "# all end with 000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_spatial</th>\n",
       "      <th>id_region_type</th>\n",
       "      <th>id_region</th>\n",
       "      <th>year</th>\n",
       "      <th>internal_id</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01001</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1001000</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137067.442378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01002</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1002000</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>383927.889667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01003</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1003000</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>334958.088097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01004</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1004000</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122846.457156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01051</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1051000</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>206636.303878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           id_spatial  id_region_type  id_region  year  internal_id  \\\n",
       "id_region                                                             \n",
       "01001               4               4    1001000  2017          NaN   \n",
       "01002               4               4    1002000  2017          NaN   \n",
       "01003               4               4    1003000  2017          NaN   \n",
       "01004               4               4    1004000  2017          NaN   \n",
       "01051               4               4    1051000  2017          NaN   \n",
       "\n",
       "                   value  \n",
       "id_region                 \n",
       "01001      137067.442378  \n",
       "01002      383927.889667  \n",
       "01003      334958.088097  \n",
       "01004      122846.457156  \n",
       "01051      206636.303878  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "id_index = demand_df[\"id_region\"].apply(lambda x: f\"{x:08}\"[:-3])\n",
    "demand_df.index = id_index\n",
    "demand_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_df.loc[demand_df.index,\"demand [MWh/a_2017]\"] = demand_df[\"value\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# test if any row is empty\n",
    "assert geo_df[\"demand [MWh/a_2017]\"].isna().sum() == 0\n",
    "assert geo_df.loc[:,[\"brutto_mon_arbeitsort\",\"brutto_mon_wohnort\"]].isna().sum().sum() == 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>brutto_mon_wohnort</th>\n",
       "      <th>demand [MWh/a_2017]</th>\n",
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       "      <th>stat_bnd_amt_id</th>\n",
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       "      <th>01001</th>\n",
       "      <td>Flensburg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF01</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>DEBKGDL20000002R</td>\n",
       "      <td>POLYGON ((9.41266 54.82264, 9.42293 54.82322, ...</td>\n",
       "      <td>01001</td>\n",
       "      <td>89504</td>\n",
       "      <td>44599</td>\n",
       "      <td>44905</td>\n",
       "      <td>2986.055556</td>\n",
       "      <td>2758.948276</td>\n",
       "      <td>137067.442378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01002</th>\n",
       "      <td>Kiel</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF02</td>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>DEBKGDL20000E43X</td>\n",
       "      <td>POLYGON ((10.16916 54.43138, 10.18877 54.41108...</td>\n",
       "      <td>01002</td>\n",
       "      <td>247548</td>\n",
       "      <td>120566</td>\n",
       "      <td>126982</td>\n",
       "      <td>3303.962273</td>\n",
       "      <td>3148.856511</td>\n",
       "      <td>383927.889667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01003</th>\n",
       "      <td>Lübeck</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF03</td>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>DEBKGDL20000DYM9</td>\n",
       "      <td>POLYGON ((10.87684 53.98737, 10.88454 53.97820...</td>\n",
       "      <td>01003</td>\n",
       "      <td>217198</td>\n",
       "      <td>104371</td>\n",
       "      <td>112827</td>\n",
       "      <td>3035.921109</td>\n",
       "      <td>3022.366925</td>\n",
       "      <td>334958.088097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01004</th>\n",
       "      <td>Neumünster</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEF04</td>\n",
       "      <td>1970-04-26</td>\n",
       "      <td>DEBKGDL20000E4KX</td>\n",
       "      <td>POLYGON ((9.99545 54.14972, 10.00821 54.14217,...</td>\n",
       "      <td>01004</td>\n",
       "      <td>79487</td>\n",
       "      <td>39241</td>\n",
       "      <td>40246</td>\n",
       "      <td>2841.743194</td>\n",
       "      <td>2800.877644</td>\n",
       "      <td>122846.457156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01051</th>\n",
       "      <td>Dithmarschen</td>\n",
       "      <td>Kreis</td>\n",
       "      <td>DEF05</td>\n",
       "      <td>2011-08-01</td>\n",
       "      <td>DEBKGDL20000E14G</td>\n",
       "      <td>MULTIPOLYGON (((9.07402 54.36277, 9.08209 54.3...</td>\n",
       "      <td>01051</td>\n",
       "      <td>133210</td>\n",
       "      <td>65720</td>\n",
       "      <td>67490</td>\n",
       "      <td>2913.626492</td>\n",
       "      <td>2971.936526</td>\n",
       "      <td>206636.303878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          GEN               BEZ   NUTS         WSK  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "01001               Flensburg  Kreisfreie Stadt  DEF01  2008-01-01   \n",
       "01002                    Kiel  Kreisfreie Stadt  DEF02  2006-01-01   \n",
       "01003                  Lübeck  Kreisfreie Stadt  DEF03  2006-02-01   \n",
       "01004              Neumünster  Kreisfreie Stadt  DEF04  1970-04-26   \n",
       "01051            Dithmarschen             Kreis  DEF05  2011-08-01   \n",
       "\n",
       "                         DEBKG_ID  \\\n",
       "stat_bnd_amt_id                     \n",
       "01001            DEBKGDL20000002R   \n",
       "01002            DEBKGDL20000E43X   \n",
       "01003            DEBKGDL20000DYM9   \n",
       "01004            DEBKGDL20000E4KX   \n",
       "01051            DEBKGDL20000E14G   \n",
       "\n",
       "                                                          geometry  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "01001            POLYGON ((9.41266 54.82264, 9.42293 54.82322, ...   \n",
       "01002            POLYGON ((10.16916 54.43138, 10.18877 54.41108...   \n",
       "01003            POLYGON ((10.87684 53.98737, 10.88454 53.97820...   \n",
       "01004            POLYGON ((9.99545 54.14972, 10.00821 54.14217,...   \n",
       "01051            MULTIPOLYGON (((9.07402 54.36277, 9.08209 54.3...   \n",
       "\n",
       "                stat_bnd_amt_id  population  population_m  population_w  \\\n",
       "stat_bnd_amt_id                                                           \n",
       "01001                     01001       89504         44599         44905   \n",
       "01002                     01002      247548        120566        126982   \n",
       "01003                     01003      217198        104371        112827   \n",
       "01004                     01004       79487         39241         40246   \n",
       "01051                     01051      133210         65720         67490   \n",
       "\n",
       "                 brutto_mon_arbeitsort  brutto_mon_wohnort  \\\n",
       "stat_bnd_amt_id                                              \n",
       "01001                      2986.055556         2758.948276   \n",
       "01002                      3303.962273         3148.856511   \n",
       "01003                      3035.921109         3022.366925   \n",
       "01004                      2841.743194         2800.877644   \n",
       "01051                      2913.626492         2971.936526   \n",
       "\n",
       "                 demand [MWh/a_2017]  \n",
       "stat_bnd_amt_id                       \n",
       "01001                  137067.442378  \n",
       "01002                  383927.889667  \n",
       "01003                  334958.088097  \n",
       "01004                  122846.457156  \n",
       "01051                  206636.303878  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# #  get hours worked\n",
    "# work_hours_df = pd.read_excel(\"data/ETR_R2B2_2018_j.xlsx\", sheet_name=\"Tab 3.19\")\n",
    "# # get columnnames\n",
    "# colnames = work_hours_df.iloc[0,:]\n",
    "# cols_2_drop = pd.isna(colnames)\n",
    "\n",
    "# # reduce to nuts3 rows and data which starts at row 5\n",
    "# work_hours_df = work_hours_df.loc[~pd.isna(work_hours_df.iloc[:,6]),:].iloc[1:,:]\n",
    "# work_hours_df = work_hours_df.drop(columns=work_hours_df.columns[cols_2_drop])\n",
    "\n",
    "# work_hours_df.columns = [\"RegionalSchlüssel\",\"nuts3\",\"Bundesland\", \"nuts-lvl\",\"Stadt/Land/-kreis\", \"Geleistete Arbeitsstunden\",\"davon\"]\n",
    "# work_hours_df.drop(columns=[\"nuts-lvl\",\"davon\"],inplace=True)\n",
    "# cities = work_hours_df[\"RegionalSchlüssel\"].apply(len) < 5\n",
    "# # correct id from 02, 11 to 02000, 11000\n",
    "# work_hours_df.loc[cities,\"RegionalSchlüssel\"] = work_hours_df[\"RegionalSchlüssel\"][cities].apply(lambda x: f\"{int(x)*1000:05}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "work_hours_df = pd.read_excel(\"Data/ETR_R2B2_2018_j.xlsx\", sheet_name=\"Tab 1.3\")\n",
    "colnames = work_hours_df.iloc[0,:]\n",
    "cols_2_drop = pd.isna(colnames)\n",
    "work_hours_df = work_hours_df.loc[~pd.isna(work_hours_df.iloc[:,6]),:].iloc[1:,:]\n",
    "work_hours_df = work_hours_df.drop(columns=work_hours_df.columns[cols_2_drop])\n",
    "work_hours_df.columns = [\"RegionalSchlüssel\",\"nuts3\",\"Bundesland\", \"nuts-lvl\",\"Stadt/Land/-kreis\", *colnames[8:] ]\n",
    "\n",
    "# correct id from 02, 11 to 02000, 11000\n",
    "cities = work_hours_df[\"RegionalSchlüssel\"].apply(len) < 5\n",
    "work_hours_df.loc[cities,\"RegionalSchlüssel\"] = work_hours_df[\"RegionalSchlüssel\"][cities].apply(lambda x: f\"{int(x)*1000:05}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>RegionalSchlüssel</th>\n",
       "      <th>nuts3</th>\n",
       "      <th>Bundesland</th>\n",
       "      <th>nuts-lvl</th>\n",
       "      <th>Stadt/Land/-kreis</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>...</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>08111</td>\n",
       "      <td>DE111</td>\n",
       "      <td>BW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stuttgart, Stadtkreis</td>\n",
       "      <td>1475</td>\n",
       "      <td>1476</td>\n",
       "      <td>1475</td>\n",
       "      <td>1474</td>\n",
       "      <td>1471</td>\n",
       "      <td>...</td>\n",
       "      <td>1424</td>\n",
       "      <td>1441</td>\n",
       "      <td>1449</td>\n",
       "      <td>1436</td>\n",
       "      <td>1432</td>\n",
       "      <td>1432</td>\n",
       "      <td>1429</td>\n",
       "      <td>1421</td>\n",
       "      <td>1419</td>\n",
       "      <td>1425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>08115</td>\n",
       "      <td>DE112</td>\n",
       "      <td>BW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Böblingen, Landkreis</td>\n",
       "      <td>1459</td>\n",
       "      <td>1454</td>\n",
       "      <td>1448</td>\n",
       "      <td>1442</td>\n",
       "      <td>1440</td>\n",
       "      <td>...</td>\n",
       "      <td>1377</td>\n",
       "      <td>1408</td>\n",
       "      <td>1426</td>\n",
       "      <td>1408</td>\n",
       "      <td>1406</td>\n",
       "      <td>1404</td>\n",
       "      <td>1405</td>\n",
       "      <td>1398</td>\n",
       "      <td>1397</td>\n",
       "      <td>1402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>08116</td>\n",
       "      <td>DE113</td>\n",
       "      <td>BW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Esslingen, Landkreis</td>\n",
       "      <td>1443</td>\n",
       "      <td>1438</td>\n",
       "      <td>1437</td>\n",
       "      <td>1432</td>\n",
       "      <td>1432</td>\n",
       "      <td>...</td>\n",
       "      <td>1387</td>\n",
       "      <td>1416</td>\n",
       "      <td>1414</td>\n",
       "      <td>1395</td>\n",
       "      <td>1397</td>\n",
       "      <td>1399</td>\n",
       "      <td>1397</td>\n",
       "      <td>1390</td>\n",
       "      <td>1392</td>\n",
       "      <td>1399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>08117</td>\n",
       "      <td>DE114</td>\n",
       "      <td>BW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Göppingen, Landkreis</td>\n",
       "      <td>1437</td>\n",
       "      <td>1429</td>\n",
       "      <td>1422</td>\n",
       "      <td>1419</td>\n",
       "      <td>1419</td>\n",
       "      <td>...</td>\n",
       "      <td>1374</td>\n",
       "      <td>1404</td>\n",
       "      <td>1410</td>\n",
       "      <td>1393</td>\n",
       "      <td>1394</td>\n",
       "      <td>1399</td>\n",
       "      <td>1398</td>\n",
       "      <td>1390</td>\n",
       "      <td>1389</td>\n",
       "      <td>1395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>08118</td>\n",
       "      <td>DE115</td>\n",
       "      <td>BW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ludwigsburg, Landkreis</td>\n",
       "      <td>1443</td>\n",
       "      <td>1436</td>\n",
       "      <td>1429</td>\n",
       "      <td>1427</td>\n",
       "      <td>1425</td>\n",
       "      <td>...</td>\n",
       "      <td>1385</td>\n",
       "      <td>1411</td>\n",
       "      <td>1419</td>\n",
       "      <td>1405</td>\n",
       "      <td>1405</td>\n",
       "      <td>1404</td>\n",
       "      <td>1406</td>\n",
       "      <td>1401</td>\n",
       "      <td>1397</td>\n",
       "      <td>1404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>16073</td>\n",
       "      <td>DEG0I</td>\n",
       "      <td>TH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saalfeld-Rudolstadt, Landkreis</td>\n",
       "      <td>1596</td>\n",
       "      <td>1581</td>\n",
       "      <td>1562</td>\n",
       "      <td>1558</td>\n",
       "      <td>1567</td>\n",
       "      <td>...</td>\n",
       "      <td>1504</td>\n",
       "      <td>1533</td>\n",
       "      <td>1530</td>\n",
       "      <td>1503</td>\n",
       "      <td>1483</td>\n",
       "      <td>1481</td>\n",
       "      <td>1486</td>\n",
       "      <td>1471</td>\n",
       "      <td>1462</td>\n",
       "      <td>1446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>16074</td>\n",
       "      <td>DEG0J</td>\n",
       "      <td>TH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saale-Holzland-Kreis</td>\n",
       "      <td>1593</td>\n",
       "      <td>1579</td>\n",
       "      <td>1550</td>\n",
       "      <td>1541</td>\n",
       "      <td>1547</td>\n",
       "      <td>...</td>\n",
       "      <td>1480</td>\n",
       "      <td>1516</td>\n",
       "      <td>1542</td>\n",
       "      <td>1514</td>\n",
       "      <td>1498</td>\n",
       "      <td>1500</td>\n",
       "      <td>1505</td>\n",
       "      <td>1488</td>\n",
       "      <td>1481</td>\n",
       "      <td>1466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>16075</td>\n",
       "      <td>DEG0K</td>\n",
       "      <td>TH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saale-Orla-Kreis</td>\n",
       "      <td>1595</td>\n",
       "      <td>1570</td>\n",
       "      <td>1561</td>\n",
       "      <td>1562</td>\n",
       "      <td>1568</td>\n",
       "      <td>...</td>\n",
       "      <td>1497</td>\n",
       "      <td>1531</td>\n",
       "      <td>1540</td>\n",
       "      <td>1516</td>\n",
       "      <td>1499</td>\n",
       "      <td>1502</td>\n",
       "      <td>1507</td>\n",
       "      <td>1492</td>\n",
       "      <td>1484</td>\n",
       "      <td>1466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>16076</td>\n",
       "      <td>DEG0L</td>\n",
       "      <td>TH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Greiz, Landkreis</td>\n",
       "      <td>1614</td>\n",
       "      <td>1594</td>\n",
       "      <td>1579</td>\n",
       "      <td>1577</td>\n",
       "      <td>1588</td>\n",
       "      <td>...</td>\n",
       "      <td>1518</td>\n",
       "      <td>1544</td>\n",
       "      <td>1547</td>\n",
       "      <td>1518</td>\n",
       "      <td>1503</td>\n",
       "      <td>1503</td>\n",
       "      <td>1505</td>\n",
       "      <td>1488</td>\n",
       "      <td>1476</td>\n",
       "      <td>1462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>16077</td>\n",
       "      <td>DEG0M</td>\n",
       "      <td>TH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Altenburger Land, Landkreis</td>\n",
       "      <td>1568</td>\n",
       "      <td>1541</td>\n",
       "      <td>1532</td>\n",
       "      <td>1526</td>\n",
       "      <td>1532</td>\n",
       "      <td>...</td>\n",
       "      <td>1485</td>\n",
       "      <td>1511</td>\n",
       "      <td>1515</td>\n",
       "      <td>1490</td>\n",
       "      <td>1471</td>\n",
       "      <td>1468</td>\n",
       "      <td>1475</td>\n",
       "      <td>1459</td>\n",
       "      <td>1454</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>401 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    RegionalSchlüssel  nuts3 Bundesland nuts-lvl  \\\n",
       "8               08111  DE111         BW      NaN   \n",
       "9               08115  DE112         BW      NaN   \n",
       "10              08116  DE113         BW      NaN   \n",
       "11              08117  DE114         BW      NaN   \n",
       "12              08118  DE115         BW      NaN   \n",
       "..                ...    ...        ...      ...   \n",
       "512             16073  DEG0I         TH      NaN   \n",
       "513             16074  DEG0J         TH      NaN   \n",
       "514             16075  DEG0K         TH      NaN   \n",
       "515             16076  DEG0L         TH      NaN   \n",
       "516             16077  DEG0M         TH      NaN   \n",
       "\n",
       "                  Stadt/Land/-kreis  2000  2001  2002  2003  2004  ...  2009  \\\n",
       "8             Stuttgart, Stadtkreis  1475  1476  1475  1474  1471  ...  1424   \n",
       "9              Böblingen, Landkreis  1459  1454  1448  1442  1440  ...  1377   \n",
       "10             Esslingen, Landkreis  1443  1438  1437  1432  1432  ...  1387   \n",
       "11             Göppingen, Landkreis  1437  1429  1422  1419  1419  ...  1374   \n",
       "12           Ludwigsburg, Landkreis  1443  1436  1429  1427  1425  ...  1385   \n",
       "..                              ...   ...   ...   ...   ...   ...  ...   ...   \n",
       "512  Saalfeld-Rudolstadt, Landkreis  1596  1581  1562  1558  1567  ...  1504   \n",
       "513            Saale-Holzland-Kreis  1593  1579  1550  1541  1547  ...  1480   \n",
       "514                Saale-Orla-Kreis  1595  1570  1561  1562  1568  ...  1497   \n",
       "515                Greiz, Landkreis  1614  1594  1579  1577  1588  ...  1518   \n",
       "516     Altenburger Land, Landkreis  1568  1541  1532  1526  1532  ...  1485   \n",
       "\n",
       "     2010  2011  2012  2013  2014  2015  2016  2017  2018  \n",
       "8    1441  1449  1436  1432  1432  1429  1421  1419  1425  \n",
       "9    1408  1426  1408  1406  1404  1405  1398  1397  1402  \n",
       "10   1416  1414  1395  1397  1399  1397  1390  1392  1399  \n",
       "11   1404  1410  1393  1394  1399  1398  1390  1389  1395  \n",
       "12   1411  1419  1405  1405  1404  1406  1401  1397  1404  \n",
       "..    ...   ...   ...   ...   ...   ...   ...   ...   ...  \n",
       "512  1533  1530  1503  1483  1481  1486  1471  1462  1446  \n",
       "513  1516  1542  1514  1498  1500  1505  1488  1481  1466  \n",
       "514  1531  1540  1516  1499  1502  1507  1492  1484  1466  \n",
       "515  1544  1547  1518  1503  1503  1505  1488  1476  1462  \n",
       "516  1511  1515  1490  1471  1468  1475  1459  1454  1440  \n",
       "\n",
       "[401 rows x 24 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "work_hours_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_df.loc[work_hours_df[\"RegionalSchlüssel\"],\"Arbeitsstunden pro Arbeiter\"] = work_hours_df[2017].values\n",
    "geo_df[\"wohnort stundenlohn\"] = geo_df[\"brutto_mon_wohnort\"]/(geo_df[\"Arbeitsstunden pro Arbeiter\"]/12)\n",
    "geo_df[\"arbeitsort stundenlohn\"] =  geo_df[\"brutto_mon_arbeitsort\"]/(geo_df[\"Arbeitsstunden pro Arbeiter\"]/12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Bruttolohn(Median) im Wohnort [€/h]')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "vmin = min(geo_df[\"wohnort stundenlohn\"])\n",
    "vmax = max(geo_df[\"wohnort stundenlohn\"])\n",
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "geo_df.plot(ax=ax,column=\"wohnort stundenlohn\", cmap=\"jet\")\n",
    "sm = plt.cm.ScalarMappable(cmap='jet', norm=plt.Normalize(vmin=vmin, vmax=vmax))\n",
    "fig.colorbar(sm)\n",
    "ax.set_title(\"Bruttolohn(Median) im Wohnort [€/h]\")\n",
    "#fig.savefig(\"Data\\plots\\gross_hourly_wages.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get number of employed people\n",
    "workers_df = pd.read_excel(\"data/ETR_R2B2_2018_j.xlsx\", sheet_name=\"Tab 1.1\")\n",
    "colnames = workers_df.iloc[0,:]\n",
    "cols_2_drop = pd.isna(colnames)\n",
    "workers_df = workers_df.loc[~pd.isna(workers_df.iloc[:,6]),:].iloc[1:,:]\n",
    "workers_df = workers_df.drop(columns=workers_df.columns[cols_2_drop])\n",
    "workers_df.columns = [\"RegionalSchlüssel\",\"nuts3\",\"Bundesland\", \"nuts-lvl\",\"Stadt/Land/-kreis\", *colnames[8:] ]\n",
    "\n",
    "# correct id from 02, 11 to 02000, 11000\n",
    "cities = workers_df[\"RegionalSchlüssel\"].apply(len) < 5\n",
    "workers_df.loc[cities,\"RegionalSchlüssel\"] = workers_df[\"RegionalSchlüssel\"][cities].apply(lambda x: f\"{int(x)*1000:05}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_df.loc[workers_df[\"RegionalSchlüssel\"],\"Erwerbstätige\"] = workers_df[2017].values*1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "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>GEN</th>\n",
       "      <th>BEZ</th>\n",
       "      <th>NUTS</th>\n",
       "      <th>WSK</th>\n",
       "      <th>DEBKG_ID</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th>population</th>\n",
       "      <th>population_m</th>\n",
       "      <th>population_w</th>\n",
       "      <th>brutto_mon_arbeitsort</th>\n",
       "      <th>brutto_mon_wohnort</th>\n",
       "      <th>demand [MWh/a_2017]</th>\n",
       "      <th>Arbeitsstunden pro Arbeiter</th>\n",
       "      <th>wohnort stundenlohn</th>\n",
       "      <th>arbeitsort stundenlohn</th>\n",
       "      <th>Erwerbstätige</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11000</th>\n",
       "      <td>Berlin</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE300</td>\n",
       "      <td>1990-10-03</td>\n",
       "      <td>DEBKGDL20000E0P4</td>\n",
       "      <td>POLYGON ((13.47551 52.66878, 13.47565 52.66628...</td>\n",
       "      <td>11000</td>\n",
       "      <td>3644826</td>\n",
       "      <td>1792801</td>\n",
       "      <td>1852025</td>\n",
       "      <td>3125.591996</td>\n",
       "      <td>3100.15837</td>\n",
       "      <td>5.595324e+06</td>\n",
       "      <td>1417</td>\n",
       "      <td>26.253988</td>\n",
       "      <td>26.469375</td>\n",
       "      <td>1960186.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    GEN               BEZ   NUTS         WSK  \\\n",
       "stat_bnd_amt_id                                                \n",
       "11000            Berlin  Kreisfreie Stadt  DE300  1990-10-03   \n",
       "\n",
       "                         DEBKG_ID  \\\n",
       "stat_bnd_amt_id                     \n",
       "11000            DEBKGDL20000E0P4   \n",
       "\n",
       "                                                          geometry  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "11000            POLYGON ((13.47551 52.66878, 13.47565 52.66628...   \n",
       "\n",
       "                stat_bnd_amt_id  population  population_m  population_w  \\\n",
       "stat_bnd_amt_id                                                           \n",
       "11000                     11000     3644826       1792801       1852025   \n",
       "\n",
       "                 brutto_mon_arbeitsort  brutto_mon_wohnort  \\\n",
       "stat_bnd_amt_id                                              \n",
       "11000                      3125.591996          3100.15837   \n",
       "\n",
       "                 demand [MWh/a_2017] Arbeitsstunden pro Arbeiter  \\\n",
       "stat_bnd_amt_id                                                    \n",
       "11000                   5.595324e+06                        1417   \n",
       "\n",
       "                wohnort stundenlohn arbeitsort stundenlohn Erwerbstätige  \n",
       "stat_bnd_amt_id                                                           \n",
       "11000                     26.253988              26.469375     1960186.0  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The salary for Berlin should be ~24€ (23.68 in 2019) according to the Bundesland-level statistics so the hourly wages are too high\n",
    "geo_df[geo_df['GEN']==\"Berlin\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GEN                                                                    Flensburg\n",
       "BEZ                                                             Kreisfreie Stadt\n",
       "NUTS                                                                       DEF01\n",
       "WSK                                                                   2008-01-01\n",
       "DEBKG_ID                                                        DEBKGDL20000002R\n",
       "geometry                       POLYGON ((9.412664108896104 54.8226409083269, ...\n",
       "stat_bnd_amt_id                                                            01001\n",
       "population                                                                 89504\n",
       "population_m                                                               44599\n",
       "population_w                                                               44905\n",
       "brutto_mon_arbeitsort                                                2986.055556\n",
       "brutto_mon_wohnort                                                   2758.948276\n",
       "demand [MWh/a_2017]                                                137067.442378\n",
       "Arbeitsstunden pro Arbeiter                                                 1364\n",
       "wohnort stundenlohn                                                    24.272272\n",
       "arbeitsort stundenlohn                                                 26.270283\n",
       "Erwerbstätige                                                            59876.0\n",
       "Name: 01001, dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df.loc[\"01001\",:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "wage_df = pd.read_csv(r\"Data\\wages_and_taxes.csv\", header=5, sep=\";\", encoding=\"cp1252\", na_values=[\"-\",\".\"])[:-4]\n",
    "\n",
    "new_cols = [\"year\", \"bnd_id\",\"name\"]\n",
    "new_cols.extend(wage_df.columns[3:])\n",
    "wage_df.columns = new_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>year</th>\n",
       "      <th>bnd_id</th>\n",
       "      <th>name</th>\n",
       "      <th>Lohn- und Einkommensteuerpflichtige[Anzahl]</th>\n",
       "      <th>Gesamtbetrag der Einkünfte[Tsd. EUR]</th>\n",
       "      <th>Lohn- und Einkommensteuer[Tsd. EUR]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>DG</td>\n",
       "      <td>Deutschland</td>\n",
       "      <td>40924126.0</td>\n",
       "      <td>1.617673e+09</td>\n",
       "      <td>286966239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>01</td>\n",
       "      <td>Schleswig-Holstein</td>\n",
       "      <td>1417318.0</td>\n",
       "      <td>5.497582e+07</td>\n",
       "      <td>9383471.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>01001</td>\n",
       "      <td>Flensburg, Kreisfreie Stadt</td>\n",
       "      <td>43888.0</td>\n",
       "      <td>1.386544e+06</td>\n",
       "      <td>227938.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>01002</td>\n",
       "      <td>Kiel, Landeshauptstadt, Kreisfreie Stadt</td>\n",
       "      <td>122746.0</td>\n",
       "      <td>4.047835e+06</td>\n",
       "      <td>667048.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>01003</td>\n",
       "      <td>Lübeck, Hansestadt, Kreisfreie Stadt</td>\n",
       "      <td>106460.0</td>\n",
       "      <td>3.578008e+06</td>\n",
       "      <td>591419.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>2016</td>\n",
       "      <td>16073</td>\n",
       "      <td>Saalfeld-Rudolstadt, Kreis</td>\n",
       "      <td>49152.0</td>\n",
       "      <td>1.483222e+06</td>\n",
       "      <td>204979.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>2016</td>\n",
       "      <td>16074</td>\n",
       "      <td>Saale-Holzland-Kreis</td>\n",
       "      <td>38535.0</td>\n",
       "      <td>1.241424e+06</td>\n",
       "      <td>176495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>2016</td>\n",
       "      <td>16075</td>\n",
       "      <td>Saale-Orla-Kreis</td>\n",
       "      <td>38468.0</td>\n",
       "      <td>1.121061e+06</td>\n",
       "      <td>145578.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>2016</td>\n",
       "      <td>16076</td>\n",
       "      <td>Greiz, Kreis</td>\n",
       "      <td>45749.0</td>\n",
       "      <td>1.389538e+06</td>\n",
       "      <td>182931.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>2016</td>\n",
       "      <td>16077</td>\n",
       "      <td>Altenburger Land, Kreis</td>\n",
       "      <td>40333.0</td>\n",
       "      <td>1.197454e+06</td>\n",
       "      <td>157619.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>538 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year bnd_id                                            name  \\\n",
       "0    2016     DG                                     Deutschland   \n",
       "1    2016     01                              Schleswig-Holstein   \n",
       "2    2016  01001                     Flensburg, Kreisfreie Stadt   \n",
       "3    2016  01002        Kiel, Landeshauptstadt, Kreisfreie Stadt   \n",
       "4    2016  01003            Lübeck, Hansestadt, Kreisfreie Stadt   \n",
       "..    ...    ...                                             ...   \n",
       "533  2016  16073                      Saalfeld-Rudolstadt, Kreis   \n",
       "534  2016  16074                            Saale-Holzland-Kreis   \n",
       "535  2016  16075                                Saale-Orla-Kreis   \n",
       "536  2016  16076                                    Greiz, Kreis   \n",
       "537  2016  16077                         Altenburger Land, Kreis   \n",
       "\n",
       "     Lohn- und Einkommensteuerpflichtige[Anzahl]  \\\n",
       "0                                     40924126.0   \n",
       "1                                      1417318.0   \n",
       "2                                        43888.0   \n",
       "3                                       122746.0   \n",
       "4                                       106460.0   \n",
       "..                                           ...   \n",
       "533                                      49152.0   \n",
       "534                                      38535.0   \n",
       "535                                      38468.0   \n",
       "536                                      45749.0   \n",
       "537                                      40333.0   \n",
       "\n",
       "     Gesamtbetrag der Einkünfte[Tsd. EUR]  Lohn- und Einkommensteuer[Tsd. EUR]  \n",
       "0                            1.617673e+09                          286966239.0  \n",
       "1                            5.497582e+07                            9383471.0  \n",
       "2                            1.386544e+06                             227938.0  \n",
       "3                            4.047835e+06                             667048.0  \n",
       "4                            3.578008e+06                             591419.0  \n",
       "..                                    ...                                  ...  \n",
       "533                          1.483222e+06                             204979.0  \n",
       "534                          1.241424e+06                             176495.0  \n",
       "535                          1.121061e+06                             145578.0  \n",
       "536                          1.389538e+06                             182931.0  \n",
       "537                          1.197454e+06                             157619.0  \n",
       "\n",
       "[538 rows x 6 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "wage_df.loc[:,\"tax_percentage\"] = wage_df[\"Lohn- und Einkommensteuer[Tsd. EUR]\"]/wage_df[\"Gesamtbetrag der Einkünfte[Tsd. EUR]\"]\n",
    "# stimmt ganz gut überein mit der Steuerbelastung aus https://www.destatis.de/DE/Themen/Staat/Steuern/Lohnsteuer-Einkommensteuer/_inhalt.html#sprg236420\n",
    "\n",
    "# hamburg and berlin\n",
    "big_cities = (wage_df[\"bnd_id\"] == \"02\") | (wage_df[\"bnd_id\"] == \"11\")\n",
    "wage_df.loc[big_cities,\"bnd_id\"] = wage_df[\"bnd_id\"][big_cities].apply(lambda x: f\"{int(x)*1000:05}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "wage_df_nuts3 = wage_df.loc[wage_df[\"bnd_id\"].apply(len) == 5,:]\n",
    "# wage_df_nuts3.reset_index(drop=True) geo_df.stat_bnd_amt_id\n",
    "wage_df_nuts3 = wage_df_nuts3.set_index(\"bnd_id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year                                           0\n",
       "name                                           0\n",
       "Lohn- und Einkommensteuerpflichtige[Anzahl]    0\n",
       "Gesamtbetrag der Einkünfte[Tsd. EUR]           0\n",
       "Lohn- und Einkommensteuer[Tsd. EUR]            0\n",
       "tax_percentage                                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_df_nuts3 = wage_df_nuts3.loc[geo_df.stat_bnd_amt_id,:]\n",
    "wage_df_nuts3.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>Lohn- und Einkommensteuerpflichtige[Anzahl]</th>\n",
       "      <th>Gesamtbetrag der Einkünfte[Tsd. EUR]</th>\n",
       "      <th>Lohn- und Einkommensteuer[Tsd. EUR]</th>\n",
       "      <th>tax_percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.010000e+02</td>\n",
       "      <td>4.010000e+02</td>\n",
       "      <td>4.010000e+02</td>\n",
       "      <td>401.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.020552e+05</td>\n",
       "      <td>4.034098e+06</td>\n",
       "      <td>7.156265e+05</td>\n",
       "      <td>0.167413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.231102e+05</td>\n",
       "      <td>5.043692e+06</td>\n",
       "      <td>1.020943e+06</td>\n",
       "      <td>0.020025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.636000e+04</td>\n",
       "      <td>5.453040e+05</td>\n",
       "      <td>8.056000e+04</td>\n",
       "      <td>0.127426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.049200e+04</td>\n",
       "      <td>1.816734e+06</td>\n",
       "      <td>2.925410e+05</td>\n",
       "      <td>0.152874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.472700e+04</td>\n",
       "      <td>2.983157e+06</td>\n",
       "      <td>4.829990e+05</td>\n",
       "      <td>0.165902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.165400e+05</td>\n",
       "      <td>4.458471e+06</td>\n",
       "      <td>7.797970e+05</td>\n",
       "      <td>0.179126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.775080e+06</td>\n",
       "      <td>6.230263e+07</td>\n",
       "      <td>1.130164e+07</td>\n",
       "      <td>0.256187</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Lohn- und Einkommensteuerpflichtige[Anzahl]  \\\n",
       "count                                 4.010000e+02   \n",
       "mean                                  1.020552e+05   \n",
       "std                                   1.231102e+05   \n",
       "min                                   1.636000e+04   \n",
       "25%                                   5.049200e+04   \n",
       "50%                                   7.472700e+04   \n",
       "75%                                   1.165400e+05   \n",
       "max                                   1.775080e+06   \n",
       "\n",
       "       Gesamtbetrag der Einkünfte[Tsd. EUR]  \\\n",
       "count                          4.010000e+02   \n",
       "mean                           4.034098e+06   \n",
       "std                            5.043692e+06   \n",
       "min                            5.453040e+05   \n",
       "25%                            1.816734e+06   \n",
       "50%                            2.983157e+06   \n",
       "75%                            4.458471e+06   \n",
       "max                            6.230263e+07   \n",
       "\n",
       "       Lohn- und Einkommensteuer[Tsd. EUR]  tax_percentage  \n",
       "count                         4.010000e+02      401.000000  \n",
       "mean                          7.156265e+05        0.167413  \n",
       "std                           1.020943e+06        0.020025  \n",
       "min                           8.056000e+04        0.127426  \n",
       "25%                           2.925410e+05        0.152874  \n",
       "50%                           4.829990e+05        0.165902  \n",
       "75%                           7.797970e+05        0.179126  \n",
       "max                           1.130164e+07        0.256187  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_df_nuts3.describe()\n",
    "# berlham[\"bnd_id\"].apply(lambda x: f\"{int(x)*1000:05}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+E9gNOLeqbh3gJnfIaagOmHu4zD1c5u5Qqmrra0mSxsKonT6SJHXIUpAktcamFJKcm2Rjklu2GH9X81iNW5N8uKt8s5kpd5IXJLk2yU1J1iQ5ssuMW0pyUJKvJ1nb/F5Pbcb3TbIqybrmdZ+us25pjuwfSXJ7ku8k+XKSvTuO+giz5Z62/D1JKsn8rjLOZK7co7xvzvH3ZKT3zb5U1Vj8AV4GHA7cMm3slcBVwO7N/H5d5+wz95XAa5rp1wJXd51zi8wLgcOb6ScD36X32JIPA0ub8aXAh7rOug3Zfx+Y14x/aNSyz5a7mT+I3oc3vg/M7zprn7/vkd4358g90vtmP3/G5kihqq4BfrLF8DuAZVX1YLPOxqEH24pZchfwlGb6NxixezmqakNV3dhM/xRYS+9u9eOBFc1qK4ATOgk4h9myV9WVVbWpWe1aevfQjIw5fucAHwfeyxY3go6COXKP9L45R+6R3jf7MTalMItnAC9Ncl2SbyQ5outAfToN+EiSe4GPAmd0G2d2SSaAw4DrgP2ragP0dipgvw6jbdUW2ad7K/DVoQfq0/TcSY4DflBV3+421dZt8fveafbNLXKfxk6yb85m3EthHrAP8CLgb4GVSWZ61MaoeQfw7qo6CHg3cE7HeWaU5EnAl4DTquqBrvNsi9myJ3kfsAk4v6tsc5mem17O9wEf6DJTP2b4fe8U++YMuXeKfXMu414K64FLqud64Ff0Hmo16hYDlzTTF9F7uuxISfJ4ejvL+VW1Oev9SRY2yxcCI3VKYLNZspNkMfA64E3VnDQeJTPkfjpwCPDtJHfTO+V1Y5Kndpfy0Wb5fY/8vjlL7pHfN7dm3EvhUuAogCTPAJ7AzvF0xvuAlzfTRwHrOszyKM3/6M4B1lbVx6YtupzeTkPzetmws23NbNmTHAOcDhxXVb/oKt9sZspdVTdX1X5VNVFVE/T+oT28qn7YYdRHmOPvyqWM8L45R+6R3jf7MTZ3NCe5AHgFvf9t3A+cBZwHnAu8AHgIeE9Vfa2jiDOaJfcdwCfpHWL/L/DOqrqhq4xbSvIS4L+Am+n9Dw/gTHrnXFcCBwP3ACdW1ZYX0Ts1R/ZPAbsDP27Grq2qtw8/4cxmy11VX5m2zt3AZFWN0j+us/2+r2KE9805cj/ACO+b/RibUpAkbd24nz6SJE1jKUiSWpaCJKllKUiSWpaCJKllKUiSWpaCJKn1/44fFEUEYPNIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "geo_df.loc[wage_df_nuts3.index,\"netto_mon_wohnort\"] = geo_df.loc[wage_df_nuts3.index,\"brutto_mon_wohnort\"] * (1-wage_df_nuts3[\"tax_percentage\"])\n",
    "nettolohn = geo_df[\"netto_mon_wohnort\"]/(geo_df[\"Arbeitsstunden pro Arbeiter\"]/12)\n",
    "geo_df[\"wohnort nettolohn [€/h]\"] = nettolohn.astype(float)\n",
    "geo_df[\"wohnort nettolohn [€/h]\"].plot(kind=\"hist\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Median net salary [€/h]')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "vmin = min(geo_df[\"wohnort nettolohn [€/h]\"])\n",
    "vmax = max(geo_df[\"wohnort nettolohn [€/h]\"])\n",
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "geo_df.plot(ax=ax,column=\"wohnort nettolohn [€/h]\", cmap=\"jet\")\n",
    "sm = plt.cm.ScalarMappable(cmap='jet', norm=plt.Normalize(vmin=vmin, vmax=vmax))\n",
    "fig.colorbar(sm)\n",
    "ax.set_title(\"Median net salary [€/h]\")\n",
    "#fig.savefig(\"Data\\plots\\net_hourly_wages.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    401.000000\n",
       "mean      18.763188\n",
       "std        3.254970\n",
       "min       12.078368\n",
       "25%       17.440226\n",
       "50%       18.877867\n",
       "75%       20.352171\n",
       "max       31.532236\n",
       "Name: voll, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate Value of Lost Load\n",
    "voll = ((4745-geo_df[\"Arbeitsstunden pro Arbeiter\"])*geo_df[\"wohnort nettolohn [€/h]\"]*0.5*(geo_df[\"Erwerbstätige\"]+0.5*(geo_df[\"population\"] - geo_df[\"Erwerbstätige\"])))/(geo_df['demand [MWh/a_2017]']*1000)\n",
    "geo_df[\"voll\"] = voll.astype(float)\n",
    "geo_df[\"voll\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31.53223618803696"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df[\"voll\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "ax = geo_df[\"voll\"].plot(kind=\"hist\", bins=30)#, alpha = 0.65\n",
    "ax.set_xlabel(\"VoLL (€/kWh)\")\n",
    "\n",
    "mean = geo_df[\"voll\"].mean()\n",
    "median = geo_df[\"voll\"].median()\n",
    "quant25 = geo_df[\"voll\"].quantile(0.25)\n",
    "quant75 = geo_df[\"voll\"].quantile(0.75)\n",
    "quant5 = geo_df[\"voll\"].quantile(0.05)\n",
    "quant95 = geo_df[\"voll\"].quantile(0.95)\n",
    "slices = [mean, median, quant5, quant95]\n",
    "for i in slices:\n",
    "    ax.axvline(i, linestyle = \":\", color=\"black\")\n",
    "\n",
    "ax.text(mean, 50, \"Mean\", size=10) \n",
    "ax.text(median, 40, \"Median\", size=10) \n",
    "ax.text(quant5, 50, \"5th percentile\", size=10) \n",
    "ax.text(quant95, 50, \"95th\", size=10)\n",
    "\n",
    "plt.show()\n",
    "# Werte deutlich höher als in den 3 Studien aus https://www.sciencedirect.com/science/article/pii/S2214629617301184"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19.25672087637426"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(geo_df['voll']*geo_df['population']).sum()/(geo_df['population'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    401.000000\n",
       "mean      18.763188\n",
       "std        3.254970\n",
       "min       12.078368\n",
       "25%       17.440226\n",
       "50%       18.877867\n",
       "75%       20.352171\n",
       "max       31.532236\n",
       "Name: voll, dtype: float64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df.voll.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>GEN</th>\n",
       "      <th>BEZ</th>\n",
       "      <th>NUTS</th>\n",
       "      <th>WSK</th>\n",
       "      <th>DEBKG_ID</th>\n",
       "      <th>geometry</th>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th>population</th>\n",
       "      <th>population_m</th>\n",
       "      <th>population_w</th>\n",
       "      <th>brutto_mon_arbeitsort</th>\n",
       "      <th>brutto_mon_wohnort</th>\n",
       "      <th>demand [MWh/a_2017]</th>\n",
       "      <th>Arbeitsstunden pro Arbeiter</th>\n",
       "      <th>wohnort stundenlohn</th>\n",
       "      <th>arbeitsort stundenlohn</th>\n",
       "      <th>Erwerbstätige</th>\n",
       "      <th>netto_mon_wohnort</th>\n",
       "      <th>wohnort nettolohn [€/h]</th>\n",
       "      <th>voll</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stat_bnd_amt_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>08115</th>\n",
       "      <td>Böblingen</td>\n",
       "      <td>Landkreis</td>\n",
       "      <td>DE112</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>DEBKGDL20000E096</td>\n",
       "      <td>POLYGON ((8.93802 48.86639, 8.95807 48.85476, ...</td>\n",
       "      <td>08115</td>\n",
       "      <td>391640</td>\n",
       "      <td>194989</td>\n",
       "      <td>196651</td>\n",
       "      <td>4596.113497</td>\n",
       "      <td>4056.414567</td>\n",
       "      <td>6.031965e+05</td>\n",
       "      <td>1397</td>\n",
       "      <td>34.843933</td>\n",
       "      <td>39.479858</td>\n",
       "      <td>230020.0</td>\n",
       "      <td>3277.542624</td>\n",
       "      <td>28.153552</td>\n",
       "      <td>24.285821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08212</th>\n",
       "      <td>Karlsruhe</td>\n",
       "      <td>Stadtkreis</td>\n",
       "      <td>DE122</td>\n",
       "      <td>1975-02-14</td>\n",
       "      <td>DEBKGDL20000E22N</td>\n",
       "      <td>POLYGON ((8.42888 49.09118, 8.43560 49.09153, ...</td>\n",
       "      <td>08212</td>\n",
       "      <td>313092</td>\n",
       "      <td>160429</td>\n",
       "      <td>152663</td>\n",
       "      <td>3681.723479</td>\n",
       "      <td>3691.214286</td>\n",
       "      <td>4.829917e+05</td>\n",
       "      <td>1397</td>\n",
       "      <td>31.706923</td>\n",
       "      <td>31.625399</td>\n",
       "      <td>239915.0</td>\n",
       "      <td>2976.216811</td>\n",
       "      <td>25.565212</td>\n",
       "      <td>24.499987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09162</th>\n",
       "      <td>München</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE212</td>\n",
       "      <td>2004-12-31</td>\n",
       "      <td>DEBKGDL20000E06K</td>\n",
       "      <td>POLYGON ((11.54637 48.22836, 11.58133 48.22981...</td>\n",
       "      <td>09162</td>\n",
       "      <td>1471508</td>\n",
       "      <td>717308</td>\n",
       "      <td>754200</td>\n",
       "      <td>4168.697158</td>\n",
       "      <td>4005.184363</td>\n",
       "      <td>2.254607e+06</td>\n",
       "      <td>1422</td>\n",
       "      <td>33.799024</td>\n",
       "      <td>35.178879</td>\n",
       "      <td>1104722.0</td>\n",
       "      <td>3079.302891</td>\n",
       "      <td>25.985678</td>\n",
       "      <td>24.667107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05314</th>\n",
       "      <td>Bonn</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEA22</td>\n",
       "      <td>1969-08-01</td>\n",
       "      <td>DEBKGDL20000E68K</td>\n",
       "      <td>POLYGON ((7.13221 50.77185, 7.15249 50.76004, ...</td>\n",
       "      <td>05314</td>\n",
       "      <td>327258</td>\n",
       "      <td>156328</td>\n",
       "      <td>170930</td>\n",
       "      <td>3857.376026</td>\n",
       "      <td>3711.785166</td>\n",
       "      <td>5.040057e+05</td>\n",
       "      <td>1374</td>\n",
       "      <td>32.417338</td>\n",
       "      <td>33.688874</td>\n",
       "      <td>247944.0</td>\n",
       "      <td>2952.653666</td>\n",
       "      <td>25.787368</td>\n",
       "      <td>24.802229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05111</th>\n",
       "      <td>Düsseldorf</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEA11</td>\n",
       "      <td>1980-01-01</td>\n",
       "      <td>DEBKGDL20000E3B7</td>\n",
       "      <td>POLYGON ((6.75294 51.34988, 6.78082 51.34257, ...</td>\n",
       "      <td>05111</td>\n",
       "      <td>619294</td>\n",
       "      <td>299315</td>\n",
       "      <td>319979</td>\n",
       "      <td>3882.140137</td>\n",
       "      <td>3778.947752</td>\n",
       "      <td>9.558286e+05</td>\n",
       "      <td>1415</td>\n",
       "      <td>32.047613</td>\n",
       "      <td>32.922743</td>\n",
       "      <td>534147.0</td>\n",
       "      <td>2925.838240</td>\n",
       "      <td>24.812762</td>\n",
       "      <td>24.927271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>07315</th>\n",
       "      <td>Mainz</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DEB35</td>\n",
       "      <td>1969-06-07</td>\n",
       "      <td>DEBKGDL20000E1IM</td>\n",
       "      <td>POLYGON ((8.24345 50.02796, 8.32234 49.97359, ...</td>\n",
       "      <td>07315</td>\n",
       "      <td>217118</td>\n",
       "      <td>105599</td>\n",
       "      <td>111519</td>\n",
       "      <td>3554.328125</td>\n",
       "      <td>3709.375000</td>\n",
       "      <td>3.330876e+05</td>\n",
       "      <td>1358</td>\n",
       "      <td>32.777982</td>\n",
       "      <td>31.407907</td>\n",
       "      <td>157135.0</td>\n",
       "      <td>2988.023439</td>\n",
       "      <td>26.403742</td>\n",
       "      <td>25.120458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09184</th>\n",
       "      <td>München</td>\n",
       "      <td>Landkreis</td>\n",
       "      <td>DE21H</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>DEBKGDL20000E06M</td>\n",
       "      <td>POLYGON ((11.58664 48.29128, 11.59269 48.28550...</td>\n",
       "      <td>09184</td>\n",
       "      <td>348871</td>\n",
       "      <td>173601</td>\n",
       "      <td>175270</td>\n",
       "      <td>4227.013114</td>\n",
       "      <td>4087.441252</td>\n",
       "      <td>5.364349e+05</td>\n",
       "      <td>1447</td>\n",
       "      <td>33.897232</td>\n",
       "      <td>35.054704</td>\n",
       "      <td>287904.0</td>\n",
       "      <td>3108.850930</td>\n",
       "      <td>25.781763</td>\n",
       "      <td>25.233193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09262</th>\n",
       "      <td>Passau</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE222</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>DEBKGDL20000E58K</td>\n",
       "      <td>POLYGON ((13.38642 48.60926, 13.39637 48.60820...</td>\n",
       "      <td>09262</td>\n",
       "      <td>52469</td>\n",
       "      <td>25344</td>\n",
       "      <td>27125</td>\n",
       "      <td>3264.846591</td>\n",
       "      <td>3045.812500</td>\n",
       "      <td>8.018040e+04</td>\n",
       "      <td>1343</td>\n",
       "      <td>27.215004</td>\n",
       "      <td>29.172121</td>\n",
       "      <td>53770.0</td>\n",
       "      <td>2520.059714</td>\n",
       "      <td>22.517287</td>\n",
       "      <td>25.375004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06412</th>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE712</td>\n",
       "      <td>1977-01-01</td>\n",
       "      <td>DEBKGDL20000DZ72</td>\n",
       "      <td>POLYGON ((8.71138 50.22626, 8.71932 50.22531, ...</td>\n",
       "      <td>06412</td>\n",
       "      <td>753056</td>\n",
       "      <td>371671</td>\n",
       "      <td>381385</td>\n",
       "      <td>4182.182885</td>\n",
       "      <td>3861.365922</td>\n",
       "      <td>1.156505e+06</td>\n",
       "      <td>1435</td>\n",
       "      <td>32.290168</td>\n",
       "      <td>34.972958</td>\n",
       "      <td>703971.0</td>\n",
       "      <td>3006.265910</td>\n",
       "      <td>25.139506</td>\n",
       "      <td>26.208663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09663</th>\n",
       "      <td>Würzburg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE263</td>\n",
       "      <td>1978-01-01</td>\n",
       "      <td>DEBKGDL20000E5RY</td>\n",
       "      <td>POLYGON ((9.92207 49.84464, 9.93382 49.83533, ...</td>\n",
       "      <td>09663</td>\n",
       "      <td>127880</td>\n",
       "      <td>61151</td>\n",
       "      <td>66729</td>\n",
       "      <td>3317.041823</td>\n",
       "      <td>3282.879863</td>\n",
       "      <td>1.960882e+05</td>\n",
       "      <td>1331</td>\n",
       "      <td>29.597715</td>\n",
       "      <td>29.905711</td>\n",
       "      <td>125281.0</td>\n",
       "      <td>2646.743711</td>\n",
       "      <td>23.862453</td>\n",
       "      <td>26.294435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09461</th>\n",
       "      <td>Bamberg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE241</td>\n",
       "      <td>1972-07-01</td>\n",
       "      <td>DEBKGDL20000E5AI</td>\n",
       "      <td>POLYGON ((10.91655 49.92702, 10.93437 49.91938...</td>\n",
       "      <td>09461</td>\n",
       "      <td>77592</td>\n",
       "      <td>37464</td>\n",
       "      <td>40128</td>\n",
       "      <td>3367.329609</td>\n",
       "      <td>3227.814815</td>\n",
       "      <td>1.195080e+05</td>\n",
       "      <td>1322</td>\n",
       "      <td>29.299378</td>\n",
       "      <td>30.565776</td>\n",
       "      <td>76898.0</td>\n",
       "      <td>2623.887866</td>\n",
       "      <td>23.817439</td>\n",
       "      <td>26.347862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08111</th>\n",
       "      <td>Stuttgart</td>\n",
       "      <td>Stadtkreis</td>\n",
       "      <td>DE111</td>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>DEBKGDL20000DZKR</td>\n",
       "      <td>POLYGON ((9.22518 48.86601, 9.23003 48.86299, ...</td>\n",
       "      <td>08111</td>\n",
       "      <td>634830</td>\n",
       "      <td>317139</td>\n",
       "      <td>317691</td>\n",
       "      <td>4351.426272</td>\n",
       "      <td>4013.875000</td>\n",
       "      <td>9.797723e+05</td>\n",
       "      <td>1419</td>\n",
       "      <td>33.943975</td>\n",
       "      <td>36.798531</td>\n",
       "      <td>529705.0</td>\n",
       "      <td>3154.475208</td>\n",
       "      <td>26.676323</td>\n",
       "      <td>26.364261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08221</th>\n",
       "      <td>Heidelberg</td>\n",
       "      <td>Stadtkreis</td>\n",
       "      <td>DE125</td>\n",
       "      <td>2008-06-03</td>\n",
       "      <td>DEBKGDL20000E3GT</td>\n",
       "      <td>POLYGON ((8.74560 49.45948, 8.75486 49.45959, ...</td>\n",
       "      <td>08221</td>\n",
       "      <td>160355</td>\n",
       "      <td>77112</td>\n",
       "      <td>83243</td>\n",
       "      <td>3717.731076</td>\n",
       "      <td>4023.616438</td>\n",
       "      <td>2.486830e+05</td>\n",
       "      <td>1354</td>\n",
       "      <td>35.659821</td>\n",
       "      <td>32.948872</td>\n",
       "      <td>122749.0</td>\n",
       "      <td>3111.817404</td>\n",
       "      <td>27.578884</td>\n",
       "      <td>26.616101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06411</th>\n",
       "      <td>Darmstadt</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE711</td>\n",
       "      <td>1977-01-01</td>\n",
       "      <td>DEBKGDL20000DZD5</td>\n",
       "      <td>POLYGON ((8.72972 49.95333, 8.73568 49.94431, ...</td>\n",
       "      <td>06411</td>\n",
       "      <td>159207</td>\n",
       "      <td>81217</td>\n",
       "      <td>77990</td>\n",
       "      <td>4184.710526</td>\n",
       "      <td>3859.164021</td>\n",
       "      <td>2.450488e+05</td>\n",
       "      <td>1395</td>\n",
       "      <td>33.19711</td>\n",
       "      <td>35.99751</td>\n",
       "      <td>135195.0</td>\n",
       "      <td>3076.530150</td>\n",
       "      <td>26.464775</td>\n",
       "      <td>26.628167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08421</th>\n",
       "      <td>Ulm</td>\n",
       "      <td>Stadtkreis</td>\n",
       "      <td>DE144</td>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>DEBKGDL20000DW97</td>\n",
       "      <td>POLYGON ((9.98178 48.46298, 10.02104 48.46434,...</td>\n",
       "      <td>08421</td>\n",
       "      <td>126329</td>\n",
       "      <td>62660</td>\n",
       "      <td>63669</td>\n",
       "      <td>3650.369792</td>\n",
       "      <td>3591.989362</td>\n",
       "      <td>1.944794e+05</td>\n",
       "      <td>1382</td>\n",
       "      <td>31.189488</td>\n",
       "      <td>31.696409</td>\n",
       "      <td>125312.0</td>\n",
       "      <td>2872.884026</td>\n",
       "      <td>24.945447</td>\n",
       "      <td>27.137258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09662</th>\n",
       "      <td>Schweinfurt</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE262</td>\n",
       "      <td>1972-07-01</td>\n",
       "      <td>DEBKGDL20000DWGM</td>\n",
       "      <td>POLYGON ((10.23480 50.09484, 10.23981 50.09081...</td>\n",
       "      <td>09662</td>\n",
       "      <td>54032</td>\n",
       "      <td>26553</td>\n",
       "      <td>27479</td>\n",
       "      <td>3961.607242</td>\n",
       "      <td>3200.252475</td>\n",
       "      <td>8.274464e+04</td>\n",
       "      <td>1390</td>\n",
       "      <td>27.628079</td>\n",
       "      <td>34.200926</td>\n",
       "      <td>65150.0</td>\n",
       "      <td>2652.883269</td>\n",
       "      <td>22.902589</td>\n",
       "      <td>27.668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09362</th>\n",
       "      <td>Regensburg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE232</td>\n",
       "      <td>2016-06-01</td>\n",
       "      <td>DEBKGDL20000E4EJ</td>\n",
       "      <td>POLYGON ((12.13170 49.07623, 12.13907 49.06878...</td>\n",
       "      <td>09362</td>\n",
       "      <td>152610</td>\n",
       "      <td>74225</td>\n",
       "      <td>78385</td>\n",
       "      <td>3675.722469</td>\n",
       "      <td>3514.708633</td>\n",
       "      <td>2.336521e+05</td>\n",
       "      <td>1359</td>\n",
       "      <td>31.034955</td>\n",
       "      <td>32.456711</td>\n",
       "      <td>158414.0</td>\n",
       "      <td>2822.862633</td>\n",
       "      <td>24.925939</td>\n",
       "      <td>28.086823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09161</th>\n",
       "      <td>Ingolstadt</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE211</td>\n",
       "      <td>1972-07-01</td>\n",
       "      <td>DEBKGDL20000E5Y4</td>\n",
       "      <td>POLYGON ((11.40582 48.81985, 11.40629 48.81725...</td>\n",
       "      <td>09161</td>\n",
       "      <td>136981</td>\n",
       "      <td>69252</td>\n",
       "      <td>67729</td>\n",
       "      <td>4634.851145</td>\n",
       "      <td>4034.346154</td>\n",
       "      <td>2.094189e+05</td>\n",
       "      <td>1411</td>\n",
       "      <td>34.310527</td>\n",
       "      <td>39.417586</td>\n",
       "      <td>126548.0</td>\n",
       "      <td>3218.173897</td>\n",
       "      <td>27.369303</td>\n",
       "      <td>28.706612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03103</th>\n",
       "      <td>Wolfsburg</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE913</td>\n",
       "      <td>1972-07-01</td>\n",
       "      <td>DEBKGDL20000E5XP</td>\n",
       "      <td>POLYGON ((10.78536 52.49422, 10.79580 52.48333...</td>\n",
       "      <td>03103</td>\n",
       "      <td>124151</td>\n",
       "      <td>61820</td>\n",
       "      <td>62331</td>\n",
       "      <td>4621.697183</td>\n",
       "      <td>4310.339357</td>\n",
       "      <td>1.918749e+05</td>\n",
       "      <td>1457</td>\n",
       "      <td>35.500393</td>\n",
       "      <td>38.064767</td>\n",
       "      <td>130526.0</td>\n",
       "      <td>3477.961402</td>\n",
       "      <td>28.644843</td>\n",
       "      <td>31.252863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09562</th>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Kreisfreie Stadt</td>\n",
       "      <td>DE252</td>\n",
       "      <td>1972-07-01</td>\n",
       "      <td>DEBKGDL20000DWAX</td>\n",
       "      <td>POLYGON ((10.93603 49.64200, 10.94072 49.64201...</td>\n",
       "      <td>09562</td>\n",
       "      <td>111962</td>\n",
       "      <td>55864</td>\n",
       "      <td>56098</td>\n",
       "      <td>4633.211443</td>\n",
       "      <td>4168.833333</td>\n",
       "      <td>1.718751e+05</td>\n",
       "      <td>1368</td>\n",
       "      <td>36.568713</td>\n",
       "      <td>40.642206</td>\n",
       "      <td>108298.0</td>\n",
       "      <td>3322.506825</td>\n",
       "      <td>29.144797</td>\n",
       "      <td>31.532236</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               GEN               BEZ   NUTS         WSK  \\\n",
       "stat_bnd_amt_id                                                           \n",
       "08115                    Böblingen         Landkreis  DE112  2014-04-01   \n",
       "08212                    Karlsruhe        Stadtkreis  DE122  1975-02-14   \n",
       "09162                      München  Kreisfreie Stadt  DE212  2004-12-31   \n",
       "05314                         Bonn  Kreisfreie Stadt  DEA22  1969-08-01   \n",
       "05111                   Düsseldorf  Kreisfreie Stadt  DEA11  1980-01-01   \n",
       "07315                        Mainz  Kreisfreie Stadt  DEB35  1969-06-07   \n",
       "09184                      München         Landkreis  DE21H  2011-01-01   \n",
       "09262                       Passau  Kreisfreie Stadt  DE222  2016-01-01   \n",
       "06412            Frankfurt am Main  Kreisfreie Stadt  DE712  1977-01-01   \n",
       "09663                     Würzburg  Kreisfreie Stadt  DE263  1978-01-01   \n",
       "09461                      Bamberg  Kreisfreie Stadt  DE241  1972-07-01   \n",
       "08111                    Stuttgart        Stadtkreis  DE111  1973-01-01   \n",
       "08221                   Heidelberg        Stadtkreis  DE125  2008-06-03   \n",
       "06411                    Darmstadt  Kreisfreie Stadt  DE711  1977-01-01   \n",
       "08421                          Ulm        Stadtkreis  DE144  1997-01-01   \n",
       "09662                  Schweinfurt  Kreisfreie Stadt  DE262  1972-07-01   \n",
       "09362                   Regensburg  Kreisfreie Stadt  DE232  2016-06-01   \n",
       "09161                   Ingolstadt  Kreisfreie Stadt  DE211  1972-07-01   \n",
       "03103                    Wolfsburg  Kreisfreie Stadt  DE913  1972-07-01   \n",
       "09562                     Erlangen  Kreisfreie Stadt  DE252  1972-07-01   \n",
       "\n",
       "                         DEBKG_ID  \\\n",
       "stat_bnd_amt_id                     \n",
       "08115            DEBKGDL20000E096   \n",
       "08212            DEBKGDL20000E22N   \n",
       "09162            DEBKGDL20000E06K   \n",
       "05314            DEBKGDL20000E68K   \n",
       "05111            DEBKGDL20000E3B7   \n",
       "07315            DEBKGDL20000E1IM   \n",
       "09184            DEBKGDL20000E06M   \n",
       "09262            DEBKGDL20000E58K   \n",
       "06412            DEBKGDL20000DZ72   \n",
       "09663            DEBKGDL20000E5RY   \n",
       "09461            DEBKGDL20000E5AI   \n",
       "08111            DEBKGDL20000DZKR   \n",
       "08221            DEBKGDL20000E3GT   \n",
       "06411            DEBKGDL20000DZD5   \n",
       "08421            DEBKGDL20000DW97   \n",
       "09662            DEBKGDL20000DWGM   \n",
       "09362            DEBKGDL20000E4EJ   \n",
       "09161            DEBKGDL20000E5Y4   \n",
       "03103            DEBKGDL20000E5XP   \n",
       "09562            DEBKGDL20000DWAX   \n",
       "\n",
       "                                                          geometry  \\\n",
       "stat_bnd_amt_id                                                      \n",
       "08115            POLYGON ((8.93802 48.86639, 8.95807 48.85476, ...   \n",
       "08212            POLYGON ((8.42888 49.09118, 8.43560 49.09153, ...   \n",
       "09162            POLYGON ((11.54637 48.22836, 11.58133 48.22981...   \n",
       "05314            POLYGON ((7.13221 50.77185, 7.15249 50.76004, ...   \n",
       "05111            POLYGON ((6.75294 51.34988, 6.78082 51.34257, ...   \n",
       "07315            POLYGON ((8.24345 50.02796, 8.32234 49.97359, ...   \n",
       "09184            POLYGON ((11.58664 48.29128, 11.59269 48.28550...   \n",
       "09262            POLYGON ((13.38642 48.60926, 13.39637 48.60820...   \n",
       "06412            POLYGON ((8.71138 50.22626, 8.71932 50.22531, ...   \n",
       "09663            POLYGON ((9.92207 49.84464, 9.93382 49.83533, ...   \n",
       "09461            POLYGON ((10.91655 49.92702, 10.93437 49.91938...   \n",
       "08111            POLYGON ((9.22518 48.86601, 9.23003 48.86299, ...   \n",
       "08221            POLYGON ((8.74560 49.45948, 8.75486 49.45959, ...   \n",
       "06411            POLYGON ((8.72972 49.95333, 8.73568 49.94431, ...   \n",
       "08421            POLYGON ((9.98178 48.46298, 10.02104 48.46434,...   \n",
       "09662            POLYGON ((10.23480 50.09484, 10.23981 50.09081...   \n",
       "09362            POLYGON ((12.13170 49.07623, 12.13907 49.06878...   \n",
       "09161            POLYGON ((11.40582 48.81985, 11.40629 48.81725...   \n",
       "03103            POLYGON ((10.78536 52.49422, 10.79580 52.48333...   \n",
       "09562            POLYGON ((10.93603 49.64200, 10.94072 49.64201...   \n",
       "\n",
       "                stat_bnd_amt_id  population  population_m  population_w  \\\n",
       "stat_bnd_amt_id                                                           \n",
       "08115                     08115      391640        194989        196651   \n",
       "08212                     08212      313092        160429        152663   \n",
       "09162                     09162     1471508        717308        754200   \n",
       "05314                     05314      327258        156328        170930   \n",
       "05111                     05111      619294        299315        319979   \n",
       "07315                     07315      217118        105599        111519   \n",
       "09184                     09184      348871        173601        175270   \n",
       "09262                     09262       52469         25344         27125   \n",
       "06412                     06412      753056        371671        381385   \n",
       "09663                     09663      127880         61151         66729   \n",
       "09461                     09461       77592         37464         40128   \n",
       "08111                     08111      634830        317139        317691   \n",
       "08221                     08221      160355         77112         83243   \n",
       "06411                     06411      159207         81217         77990   \n",
       "08421                     08421      126329         62660         63669   \n",
       "09662                     09662       54032         26553         27479   \n",
       "09362                     09362      152610         74225         78385   \n",
       "09161                     09161      136981         69252         67729   \n",
       "03103                     03103      124151         61820         62331   \n",
       "09562                     09562      111962         55864         56098   \n",
       "\n",
       "                 brutto_mon_arbeitsort  brutto_mon_wohnort  \\\n",
       "stat_bnd_amt_id                                              \n",
       "08115                      4596.113497         4056.414567   \n",
       "08212                      3681.723479         3691.214286   \n",
       "09162                      4168.697158         4005.184363   \n",
       "05314                      3857.376026         3711.785166   \n",
       "05111                      3882.140137         3778.947752   \n",
       "07315                      3554.328125         3709.375000   \n",
       "09184                      4227.013114         4087.441252   \n",
       "09262                      3264.846591         3045.812500   \n",
       "06412                      4182.182885         3861.365922   \n",
       "09663                      3317.041823         3282.879863   \n",
       "09461                      3367.329609         3227.814815   \n",
       "08111                      4351.426272         4013.875000   \n",
       "08221                      3717.731076         4023.616438   \n",
       "06411                      4184.710526         3859.164021   \n",
       "08421                      3650.369792         3591.989362   \n",
       "09662                      3961.607242         3200.252475   \n",
       "09362                      3675.722469         3514.708633   \n",
       "09161                      4634.851145         4034.346154   \n",
       "03103                      4621.697183         4310.339357   \n",
       "09562                      4633.211443         4168.833333   \n",
       "\n",
       "                 demand [MWh/a_2017] Arbeitsstunden pro Arbeiter  \\\n",
       "stat_bnd_amt_id                                                    \n",
       "08115                   6.031965e+05                        1397   \n",
       "08212                   4.829917e+05                        1397   \n",
       "09162                   2.254607e+06                        1422   \n",
       "05314                   5.040057e+05                        1374   \n",
       "05111                   9.558286e+05                        1415   \n",
       "07315                   3.330876e+05                        1358   \n",
       "09184                   5.364349e+05                        1447   \n",
       "09262                   8.018040e+04                        1343   \n",
       "06412                   1.156505e+06                        1435   \n",
       "09663                   1.960882e+05                        1331   \n",
       "09461                   1.195080e+05                        1322   \n",
       "08111                   9.797723e+05                        1419   \n",
       "08221                   2.486830e+05                        1354   \n",
       "06411                   2.450488e+05                        1395   \n",
       "08421                   1.944794e+05                        1382   \n",
       "09662                   8.274464e+04                        1390   \n",
       "09362                   2.336521e+05                        1359   \n",
       "09161                   2.094189e+05                        1411   \n",
       "03103                   1.918749e+05                        1457   \n",
       "09562                   1.718751e+05                        1368   \n",
       "\n",
       "                wohnort stundenlohn arbeitsort stundenlohn Erwerbstätige  \\\n",
       "stat_bnd_amt_id                                                            \n",
       "08115                     34.843933              39.479858      230020.0   \n",
       "08212                     31.706923              31.625399      239915.0   \n",
       "09162                     33.799024              35.178879     1104722.0   \n",
       "05314                     32.417338              33.688874      247944.0   \n",
       "05111                     32.047613              32.922743      534147.0   \n",
       "07315                     32.777982              31.407907      157135.0   \n",
       "09184                     33.897232              35.054704      287904.0   \n",
       "09262                     27.215004              29.172121       53770.0   \n",
       "06412                     32.290168              34.972958      703971.0   \n",
       "09663                     29.597715              29.905711      125281.0   \n",
       "09461                     29.299378              30.565776       76898.0   \n",
       "08111                     33.943975              36.798531      529705.0   \n",
       "08221                     35.659821              32.948872      122749.0   \n",
       "06411                      33.19711               35.99751      135195.0   \n",
       "08421                     31.189488              31.696409      125312.0   \n",
       "09662                     27.628079              34.200926       65150.0   \n",
       "09362                     31.034955              32.456711      158414.0   \n",
       "09161                     34.310527              39.417586      126548.0   \n",
       "03103                     35.500393              38.064767      130526.0   \n",
       "09562                     36.568713              40.642206      108298.0   \n",
       "\n",
       "                 netto_mon_wohnort  wohnort nettolohn [€/h]       voll  \n",
       "stat_bnd_amt_id                                                         \n",
       "08115                  3277.542624                28.153552  24.285821  \n",
       "08212                  2976.216811                25.565212  24.499987  \n",
       "09162                  3079.302891                25.985678  24.667107  \n",
       "05314                  2952.653666                25.787368  24.802229  \n",
       "05111                  2925.838240                24.812762  24.927271  \n",
       "07315                  2988.023439                26.403742  25.120458  \n",
       "09184                  3108.850930                25.781763  25.233193  \n",
       "09262                  2520.059714                22.517287  25.375004  \n",
       "06412                  3006.265910                25.139506  26.208663  \n",
       "09663                  2646.743711                23.862453  26.294435  \n",
       "09461                  2623.887866                23.817439  26.347862  \n",
       "08111                  3154.475208                26.676323  26.364261  \n",
       "08221                  3111.817404                27.578884  26.616101  \n",
       "06411                  3076.530150                26.464775  26.628167  \n",
       "08421                  2872.884026                24.945447  27.137258  \n",
       "09662                  2652.883269                22.902589  27.668646  \n",
       "09362                  2822.862633                24.925939  28.086823  \n",
       "09161                  3218.173897                27.369303  28.706612  \n",
       "03103                  3477.961402                28.644843  31.252863  \n",
       "09562                  3322.506825                29.144797  31.532236  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df.sort_values(by='voll').tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vmin = min(geo_df[\"voll\"])\n",
    "vmax = max(geo_df[\"voll\"])\n",
    "fig, ax = plt.subplots(figsize=(12,9))\n",
    "geo_df.plot(ax=ax,column=\"voll\", cmap='jet')\n",
    "sm = plt.cm.ScalarMappable(cmap='RdYlBu_r', norm=plt.Normalize(vmin=vmin, vmax=vmax))\n",
    "fig.colorbar(sm).set_label('€/kWh')\n",
    "ax.set_title(\"VoLL in NUTS 3 Regions\")\n",
    "#ax.collections.colorbar.set_label(\"Eur/kWh\")\n",
    "fig.savefig(r\"Data\\plots\\voll.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "#geo_df.to_csv(\"Data/netto_voll_calculated.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>01001</th>\n",
       "      <th>01002</th>\n",
       "      <th>01003</th>\n",
       "      <th>01004</th>\n",
       "      <th>01051</th>\n",
       "      <th>01053</th>\n",
       "      <th>01054</th>\n",
       "      <th>01055</th>\n",
       "      <th>01056</th>\n",
       "      <th>01057</th>\n",
       "      <th>...</th>\n",
       "      <th>16068</th>\n",
       "      <th>16069</th>\n",
       "      <th>16070</th>\n",
       "      <th>16071</th>\n",
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       "      <th>16074</th>\n",
       "      <th>16075</th>\n",
       "      <th>16076</th>\n",
       "      <th>16077</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12.478052</td>\n",
       "      <td>34.951205</td>\n",
       "      <td>30.493197</td>\n",
       "      <td>11.183433</td>\n",
       "      <td>18.811313</td>\n",
       "      <td>27.639508</td>\n",
       "      <td>23.324297</td>\n",
       "      <td>28.275259</td>\n",
       "      <td>44.074298</td>\n",
       "      <td>18.162171</td>\n",
       "      <td>...</td>\n",
       "      <td>9.871333</td>\n",
       "      <td>9.010885</td>\n",
       "      <td>15.341186</td>\n",
       "      <td>11.577570</td>\n",
       "      <td>7.944910</td>\n",
       "      <td>15.135095</td>\n",
       "      <td>11.698659</td>\n",
       "      <td>11.488762</td>\n",
       "      <td>13.994268</td>\n",
       "      <td>12.778448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12.136028</td>\n",
       "      <td>33.993189</td>\n",
       "      <td>29.657375</td>\n",
       "      <td>10.876894</td>\n",
       "      <td>18.295693</td>\n",
       "      <td>26.881906</td>\n",
       "      <td>22.684976</td>\n",
       "      <td>27.500231</td>\n",
       "      <td>42.866217</td>\n",
       "      <td>17.664344</td>\n",
       "      <td>...</td>\n",
       "      <td>9.600759</td>\n",
       "      <td>8.763896</td>\n",
       "      <td>14.920682</td>\n",
       "      <td>11.260228</td>\n",
       "      <td>7.727139</td>\n",
       "      <td>14.720241</td>\n",
       "      <td>11.377997</td>\n",
       "      <td>11.173854</td>\n",
       "      <td>13.610684</td>\n",
       "      <td>12.428189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11.808486</td>\n",
       "      <td>33.075740</td>\n",
       "      <td>28.856947</td>\n",
       "      <td>10.583335</td>\n",
       "      <td>17.801907</td>\n",
       "      <td>26.156386</td>\n",
       "      <td>22.072727</td>\n",
       "      <td>26.758022</td>\n",
       "      <td>41.709292</td>\n",
       "      <td>17.187598</td>\n",
       "      <td>...</td>\n",
       "      <td>9.341642</td>\n",
       "      <td>8.527365</td>\n",
       "      <td>14.517985</td>\n",
       "      <td>10.956323</td>\n",
       "      <td>7.518590</td>\n",
       "      <td>14.322954</td>\n",
       "      <td>11.070914</td>\n",
       "      <td>10.872281</td>\n",
       "      <td>13.243343</td>\n",
       "      <td>12.092763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.415492</td>\n",
       "      <td>31.974958</td>\n",
       "      <td>27.896569</td>\n",
       "      <td>10.231115</td>\n",
       "      <td>17.209448</td>\n",
       "      <td>25.285884</td>\n",
       "      <td>21.338132</td>\n",
       "      <td>25.867498</td>\n",
       "      <td>40.321180</td>\n",
       "      <td>16.615583</td>\n",
       "      <td>...</td>\n",
       "      <td>9.030746</td>\n",
       "      <td>8.243569</td>\n",
       "      <td>14.034817</td>\n",
       "      <td>10.591689</td>\n",
       "      <td>7.268367</td>\n",
       "      <td>13.846276</td>\n",
       "      <td>10.702467</td>\n",
       "      <td>10.510444</td>\n",
       "      <td>12.802596</td>\n",
       "      <td>11.690308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11.193232</td>\n",
       "      <td>31.352403</td>\n",
       "      <td>27.353421</td>\n",
       "      <td>10.031914</td>\n",
       "      <td>16.874379</td>\n",
       "      <td>24.793566</td>\n",
       "      <td>20.922677</td>\n",
       "      <td>25.363856</td>\n",
       "      <td>39.536124</td>\n",
       "      <td>16.292077</td>\n",
       "      <td>...</td>\n",
       "      <td>8.854917</td>\n",
       "      <td>8.083066</td>\n",
       "      <td>13.761558</td>\n",
       "      <td>10.385469</td>\n",
       "      <td>7.126851</td>\n",
       "      <td>13.576688</td>\n",
       "      <td>10.494089</td>\n",
       "      <td>10.305805</td>\n",
       "      <td>12.553328</td>\n",
       "      <td>11.462697</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 401 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       01001      01002      01003      01004      01051      01053  \\\n",
       "0  12.478052  34.951205  30.493197  11.183433  18.811313  27.639508   \n",
       "1  12.136028  33.993189  29.657375  10.876894  18.295693  26.881906   \n",
       "2  11.808486  33.075740  28.856947  10.583335  17.801907  26.156386   \n",
       "3  11.415492  31.974958  27.896569  10.231115  17.209448  25.285884   \n",
       "4  11.193232  31.352403  27.353421  10.031914  16.874379  24.793566   \n",
       "\n",
       "       01054      01055      01056      01057  ...     16068     16069  \\\n",
       "0  23.324297  28.275259  44.074298  18.162171  ...  9.871333  9.010885   \n",
       "1  22.684976  27.500231  42.866217  17.664344  ...  9.600759  8.763896   \n",
       "2  22.072727  26.758022  41.709292  17.187598  ...  9.341642  8.527365   \n",
       "3  21.338132  25.867498  40.321180  16.615583  ...  9.030746  8.243569   \n",
       "4  20.922677  25.363856  39.536124  16.292077  ...  8.854917  8.083066   \n",
       "\n",
       "       16070      16071     16072      16073      16074      16075      16076  \\\n",
       "0  15.341186  11.577570  7.944910  15.135095  11.698659  11.488762  13.994268   \n",
       "1  14.920682  11.260228  7.727139  14.720241  11.377997  11.173854  13.610684   \n",
       "2  14.517985  10.956323  7.518590  14.322954  11.070914  10.872281  13.243343   \n",
       "3  14.034817  10.591689  7.268367  13.846276  10.702467  10.510444  12.802596   \n",
       "4  13.761558  10.385469  7.126851  13.576688  10.494089  10.305805  12.553328   \n",
       "\n",
       "       16077  \n",
       "0  12.778448  \n",
       "1  12.428189  \n",
       "2  12.092763  \n",
       "3  11.690308  \n",
       "4  11.462697  \n",
       "\n",
       "[5 rows x 401 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hourly_hh_demand_df = pd.read_csv(r\"Data\\load_profile\\nuts3_hh_demand_profiles.csv\")\n",
    "id = hourly_hh_demand_df['Date']\n",
    "hourly_hh_demand_df.drop(columns=\"Date\",inplace=True)\n",
    "hourly_hh_demand_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# formula taken from last slide of \"prelim_plan.pptx\"\n",
    "hourly_volls = [geo_df[\"voll\"][sample_id] * hourly_hh_demand_df[sample_id]/ hourly_hh_demand_df[sample_id].mean() for sample_id in hourly_hh_demand_df.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 1       14.491129\n",
       " 2       14.100025\n",
       " 3       13.630767\n",
       " 4       13.365375\n",
       "           ...    \n",
       " 8755    16.885643\n",
       " 8756    15.661448\n",
       " 8757    14.844653\n",
       " 8758    14.829687\n",
       " 8759    14.265313\n",
       " Name: 01001, Length: 8760, dtype: float64,\n",
       " 0       16.928371\n",
       " 1       16.464363\n",
       " 2       16.020003\n",
       " 3       15.486847\n",
       " 4       15.185317\n",
       "           ...    \n",
       " 8755    19.184933\n",
       " 8756    17.794042\n",
       " 8757    16.866025\n",
       " 8758    16.849021\n",
       " 8759    16.207798\n",
       " Name: 01002, Length: 8760, dtype: float64,\n",
       " 0       15.054610\n",
       " 1       14.641962\n",
       " 2       14.246787\n",
       " 3       13.772645\n",
       " 4       13.504490\n",
       "           ...    \n",
       " 8755    17.061399\n",
       " 8756    15.824461\n",
       " 8757    14.999165\n",
       " 8758    14.984043\n",
       " 8759    14.413795\n",
       " Name: 01003, Length: 8760, dtype: float64,\n",
       " 0       14.717404\n",
       " 1       14.313998\n",
       " 2       13.927675\n",
       " 3       13.464153\n",
       " 4       13.202005\n",
       "           ...    \n",
       " 8755    16.679243\n",
       " 8756    15.470011\n",
       " 8757    14.663200\n",
       " 8758    14.648418\n",
       " 8759    14.090943\n",
       " Name: 01004, Length: 8760, dtype: float64,\n",
       " 0       13.499921\n",
       " 1       13.129887\n",
       " 2       12.775522\n",
       " 3       12.350344\n",
       " 4       12.109882\n",
       "           ...    \n",
       " 8755    15.299469\n",
       " 8756    14.190270\n",
       " 8757    13.450202\n",
       " 8758    13.436642\n",
       " 8759    12.925284\n",
       " Name: 01051, Length: 8760, dtype: float64,\n",
       " 0       13.432264\n",
       " 1       13.064084\n",
       " 2       12.711495\n",
       " 3       12.288448\n",
       " 4       12.049191\n",
       "           ...    \n",
       " 8755    15.222793\n",
       " 8756    14.119153\n",
       " 8757    13.382793\n",
       " 8758    13.369301\n",
       " 8759    12.860506\n",
       " Name: 01053, Length: 8760, dtype: float64,\n",
       " 0       12.703536\n",
       " 1       12.355331\n",
       " 2       12.021870\n",
       " 3       11.621774\n",
       " 4       11.395498\n",
       "           ...    \n",
       " 8755    14.396925\n",
       " 8756    13.353160\n",
       " 8757    12.656749\n",
       " 8758    12.643989\n",
       " 8759    12.162797\n",
       " Name: 01054, Length: 8760, dtype: float64,\n",
       " 0       13.182080\n",
       " 1       12.820758\n",
       " 2       12.474736\n",
       " 3       12.059569\n",
       " 4       11.824768\n",
       "           ...    \n",
       " 8755    14.939259\n",
       " 8756    13.856175\n",
       " 8757    13.133531\n",
       " 8758    13.120290\n",
       " 8759    12.620971\n",
       " Name: 01055, Length: 8760, dtype: float64,\n",
       " 0       14.142573\n",
       " 1       13.754923\n",
       " 2       13.383689\n",
       " 3       12.938271\n",
       " 4       12.686362\n",
       "           ...    \n",
       " 8755    16.027786\n",
       " 8756    14.865785\n",
       " 8757    14.090486\n",
       " 8758    14.076281\n",
       " 8759    13.540580\n",
       " Name: 01056, Length: 8760, dtype: float64,\n",
       " 0       13.775702\n",
       " 1       13.398109\n",
       " 2       13.036505\n",
       " 3       12.602641\n",
       " 4       12.357267\n",
       "           ...    \n",
       " 8755    15.612012\n",
       " 8756    14.480154\n",
       " 8757    13.724967\n",
       " 8758    13.711130\n",
       " 8759    13.189325\n",
       " Name: 01057, Length: 8760, dtype: float64,\n",
       " 0       14.087985\n",
       " 1       13.701832\n",
       " 2       13.332030\n",
       " 3       12.888331\n",
       " 4       12.637395\n",
       "           ...    \n",
       " 8755    15.965921\n",
       " 8756    14.808405\n",
       " 8757    14.036099\n",
       " 8758    14.021949\n",
       " 8759    13.488315\n",
       " Name: 01058, Length: 8760, dtype: float64,\n",
       " 0       12.970723\n",
       " 1       12.615194\n",
       " 2       12.274720\n",
       " 3       11.866209\n",
       " 4       11.635173\n",
       "           ...    \n",
       " 8755    14.699728\n",
       " 8756    13.634010\n",
       " 8757    12.922952\n",
       " 8758    12.909924\n",
       " 8759    12.418611\n",
       " Name: 01059, Length: 8760, dtype: float64,\n",
       " 0       14.351366\n",
       " 1       13.957994\n",
       " 2       13.581279\n",
       " 3       13.129285\n",
       " 4       12.873657\n",
       "           ...    \n",
       " 8755    16.264412\n",
       " 8756    15.085255\n",
       " 8757    14.298511\n",
       " 8758    14.284095\n",
       " 8759    13.740486\n",
       " Name: 01060, Length: 8760, dtype: float64,\n",
       " 0       13.581742\n",
       " 1       13.209465\n",
       " 2       12.852952\n",
       " 3       12.425197\n",
       " 4       12.183278\n",
       "           ...    \n",
       " 8755    15.392196\n",
       " 8756    14.276275\n",
       " 8757    13.531721\n",
       " 8758    13.518079\n",
       " 8759    13.003621\n",
       " Name: 01061, Length: 8760, dtype: float64,\n",
       " 0       15.081655\n",
       " 1       14.668265\n",
       " 2       14.272380\n",
       " 3       13.797386\n",
       " 4       13.528750\n",
       "           ...    \n",
       " 8755    17.092048\n",
       " 8756    15.852889\n",
       " 8757    15.026110\n",
       " 8758    15.010961\n",
       " 8759    14.439689\n",
       " Name: 01062, Length: 8760, dtype: float64,\n",
       " 0       16.404801\n",
       " 1       15.955144\n",
       " 2       15.524527\n",
       " 3       15.007861\n",
       " 4       14.715657\n",
       "           ...    \n",
       " 8755    18.591571\n",
       " 8756    17.243698\n",
       " 8757    16.344383\n",
       " 8758    16.327905\n",
       " 8759    15.706514\n",
       " Name: 02000, Length: 8760, dtype: float64,\n",
       " 0       18.866064\n",
       " 1       18.348943\n",
       " 2       17.853720\n",
       " 3       17.259536\n",
       " 4       16.923492\n",
       "           ...    \n",
       " 8755    21.380921\n",
       " 8756    19.830822\n",
       " 8757    18.796581\n",
       " 8758    18.777631\n",
       " 8759    18.063010\n",
       " Name: 03101, Length: 8760, dtype: float64,\n",
       " 0       16.894521\n",
       " 1       16.431440\n",
       " 2       15.987969\n",
       " 3       15.455879\n",
       " 4       15.154952\n",
       "           ...    \n",
       " 8755    19.146570\n",
       " 8756    17.758460\n",
       " 8757    16.832299\n",
       " 8758    16.815329\n",
       " 8759    16.175388\n",
       " Name: 03102, Length: 8760, dtype: float64,\n",
       " 0       24.923349\n",
       " 1       24.240198\n",
       " 2       23.585975\n",
       " 3       22.801018\n",
       " 4       22.357081\n",
       "           ...    \n",
       " 8755    28.245647\n",
       " 8756    26.197861\n",
       " 8757    24.831558\n",
       " 8758    24.806524\n",
       " 8759    23.862462\n",
       " Name: 03103, Length: 8760, dtype: float64,\n",
       " 0       17.055211\n",
       " 1       16.587726\n",
       " 2       16.140036\n",
       " 3       15.602885\n",
       " 4       15.299096\n",
       "           ...    \n",
       " 8755    19.328681\n",
       " 8756    17.927367\n",
       " 8757    16.992397\n",
       " 8758    16.975266\n",
       " 8759    16.329238\n",
       " Name: 03151, Length: 8760, dtype: float64,\n",
       " 0       14.137859\n",
       " 1       13.750339\n",
       " 2       13.379228\n",
       " 3       12.933959\n",
       " 4       12.682134\n",
       "           ...    \n",
       " 8755    16.022444\n",
       " 8756    14.860830\n",
       " 8757    14.085790\n",
       " 8758    14.071589\n",
       " 8759    13.536067\n",
       " Name: 03153, Length: 8760, dtype: float64,\n",
       " 0       15.560807\n",
       " 1       15.134284\n",
       " 2       14.725822\n",
       " 3       14.235737\n",
       " 4       13.958566\n",
       "           ...    \n",
       " 8755    17.635072\n",
       " 8756    16.356544\n",
       " 8757    15.503498\n",
       " 8758    15.487868\n",
       " 8759    14.898446\n",
       " Name: 03154, Length: 8760, dtype: float64,\n",
       " 0       14.352469\n",
       " 1       13.959066\n",
       " 2       13.582322\n",
       " 3       13.130294\n",
       " 4       12.874646\n",
       "           ...    \n",
       " 8755    16.265662\n",
       " 8756    15.086415\n",
       " 8757    14.299610\n",
       " 8758    14.285193\n",
       " 8759    13.741542\n",
       " Name: 03155, Length: 8760, dtype: float64,\n",
       " 0       15.074254\n",
       " 1       14.661067\n",
       " 2       14.265377\n",
       " 3       13.790616\n",
       " 4       13.522112\n",
       "           ...    \n",
       " 8755    17.083661\n",
       " 8756    15.845110\n",
       " 8757    15.018737\n",
       " 8758    15.003595\n",
       " 8759    14.432603\n",
       " Name: 03157, Length: 8760, dtype: float64,\n",
       " 0       15.178623\n",
       " 1       14.762576\n",
       " 2       14.364146\n",
       " 3       13.886098\n",
       " 4       13.615734\n",
       "           ...    \n",
       " 8755    17.201943\n",
       " 8756    15.954817\n",
       " 8757    15.122721\n",
       " 8758    15.107475\n",
       " 8759    14.532530\n",
       " Name: 03158, Length: 8760, dtype: float64,\n",
       " 0       15.841894\n",
       " 1       15.407666\n",
       " 2       14.991825\n",
       " 3       14.492887\n",
       " 4       14.210710\n",
       "           ...    \n",
       " 8755    17.953627\n",
       " 8756    16.652004\n",
       " 8757    15.783549\n",
       " 8758    15.767636\n",
       " 8759    15.167567\n",
       " Name: 03159, Length: 8760, dtype: float64,\n",
       " 0       16.367356\n",
       " 1       15.918725\n",
       " 2       15.489092\n",
       " 3       14.973605\n",
       " 4       14.682068\n",
       "           ...    \n",
       " 8755    18.549135\n",
       " 8756    17.204338\n",
       " 8757    16.307076\n",
       " 8758    16.290636\n",
       " 8759    15.670663\n",
       " Name: 03241, Length: 8760, dtype: float64,\n",
       " 0       14.311966\n",
       " 1       13.919674\n",
       " 2       13.543993\n",
       " 3       13.093240\n",
       " 4       12.838314\n",
       "           ...    \n",
       " 8755    16.219760\n",
       " 8756    15.043841\n",
       " 8757    14.259256\n",
       " 8758    14.244880\n",
       " 8759    13.702763\n",
       " Name: 03251, Length: 8760, dtype: float64,\n",
       " 0       14.844562\n",
       " 1       14.437671\n",
       " 2       14.048010\n",
       " 3       13.580483\n",
       " 4       13.316070\n",
       "           ...    \n",
       " 8755    16.823351\n",
       " 8756    15.603672\n",
       " 8757    14.789890\n",
       " 8758    14.774980\n",
       " 8759    14.212688\n",
       " Name: 03252, Length: 8760, dtype: float64,\n",
       " 0       14.854817\n",
       " 1       14.447645\n",
       " 2       14.057714\n",
       " 3       13.589865\n",
       " 4       13.325269\n",
       "           ...    \n",
       " 8755    16.834973\n",
       " 8756    15.614451\n",
       " 8757    14.800107\n",
       " 8758    14.785186\n",
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       " 4       12.717340\n",
       "           ...    \n",
       " 8755    16.066923\n",
       " 8756    14.902084\n",
       " 8757    14.124892\n",
       " 8758    14.110652\n",
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       " 4       12.316287\n",
       "           ...    \n",
       " 8755    15.560238\n",
       " 8756    14.432134\n",
       " 8757    13.679451\n",
       " 8758    13.665660\n",
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       " 4       12.821285\n",
       "           ...    \n",
       " 8755    16.198246\n",
       " 8756    15.023886\n",
       " 8757    14.240342\n",
       " 8758    14.225986\n",
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       " 4       12.917925\n",
       "           ...    \n",
       " 8755    16.320339\n",
       " 8756    15.137128\n",
       " 8757    14.347678\n",
       " 8758    14.333213\n",
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       " 4       12.476058\n",
       "           ...    \n",
       " 8755    15.762091\n",
       " 8756    14.619352\n",
       " 8757    13.856906\n",
       " 8758    13.842936\n",
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       " 4       13.026171\n",
       "           ...    \n",
       " 8755    16.457096\n",
       " 8756    15.263970\n",
       " 8757    14.467905\n",
       " 8758    14.453319\n",
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       " 4       12.064589\n",
       "           ...    \n",
       " 8755    15.242246\n",
       " 8756    14.137196\n",
       " 8757    13.399896\n",
       " 8758    13.386387\n",
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       " 4       12.978782\n",
       "           ...    \n",
       " 8755    16.397225\n",
       " 8756    15.208440\n",
       " 8757    14.415271\n",
       " 8758    14.400738\n",
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       " 4       12.806374\n",
       "           ...    \n",
       " 8755    16.179407\n",
       " 8756    15.006414\n",
       " 8757    14.223781\n",
       " 8758    14.209441\n",
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       " 4       12.607062\n",
       "           ...    \n",
       " 8755    15.927599\n",
       " 8756    14.772861\n",
       " 8757    14.002409\n",
       " 8758    13.988292\n",
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       " 4       12.794344\n",
       "           ...    \n",
       " 8755    16.164209\n",
       " 8756    14.992317\n",
       " 8757    14.210419\n",
       " 8758    14.196093\n",
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       " 4       13.918621\n",
       "           ...    \n",
       " 8755    17.584606\n",
       " 8756    16.309737\n",
       " 8757    15.459132\n",
       " 8758    15.443546\n",
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       " 4       11.960070\n",
       "           ...    \n",
       " 8755    15.110198\n",
       " 8756    14.014722\n",
       " 8757    13.283809\n",
       " 8758    13.270416\n",
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       " 4       13.087009\n",
       "           ...    \n",
       " 8755    16.533958\n",
       " 8756    15.335260\n",
       " 8757    14.535476\n",
       " 8758    14.520822\n",
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       " 4       13.358007\n",
       "           ...    \n",
       " 8755    16.876333\n",
       " 8756    15.652813\n",
       " 8757    14.836469\n",
       " 8758    14.821511\n",
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       " 4       16.206511\n",
       "           ...    \n",
       " 8755    20.475096\n",
       " 8756    18.990669\n",
       " 8757    18.000244\n",
       " 8758    17.982097\n",
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       " 4       15.167321\n",
       "           ...    \n",
       " 8755    19.162197\n",
       " 8756    17.772954\n",
       " 8757    16.846037\n",
       " 8758    16.829053\n",
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       " 1       17.353119\n",
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       " 4       16.005029\n",
       "           ...    \n",
       " 8755    20.220547\n",
       " 8756    18.754575\n",
       " 8757    17.776463\n",
       " 8758    17.758542\n",
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       " 1       14.126461\n",
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       " 4       13.029036\n",
       "           ...    \n",
       " 8755    16.460716\n",
       " 8756    15.267328\n",
       " 8757    14.471088\n",
       " 8758    14.456498\n",
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       " 1       13.173894\n",
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       " 4       12.150470\n",
       "           ...    \n",
       " 8755    15.350747\n",
       " 8756    14.237831\n",
       " 8757    13.495282\n",
       " 8758    13.481676\n",
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       " 4       12.565724\n",
       "           ...    \n",
       " 8755    15.875373\n",
       " 8756    14.724422\n",
       " 8757    13.956496\n",
       " 8758    13.942425\n",
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       " 4       11.620133\n",
       "           ...    \n",
       " 8755    14.680726\n",
       " 8756    13.616386\n",
       " 8757    12.906248\n",
       " 8758    12.893236\n",
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       " 4       13.255562\n",
       "           ...    \n",
       " 8755    16.746906\n",
       " 8756    15.532770\n",
       " 8757    14.722685\n",
       " 8758    14.707843\n",
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       " 4       12.718566\n",
       "           ...    \n",
       " 8755    16.068472\n",
       " 8756    14.903522\n",
       " 8757    14.126255\n",
       " 8758    14.112013\n",
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       " 4       13.052883\n",
       "           ...    \n",
       " 8755    16.490844\n",
       " 8756    15.295271\n",
       " 8757    14.497573\n",
       " 8758    14.482958\n",
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       " 1       13.622817\n",
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       " 4       12.564519\n",
       "           ...    \n",
       " 8755    15.873850\n",
       " 8756    14.723010\n",
       " 8757    13.955157\n",
       " 8758    13.941088\n",
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       " 4       11.603977\n",
       "           ...    \n",
       " 8755    14.660314\n",
       " 8756    13.597454\n",
       " 8757    12.888302\n",
       " 8758    12.875309\n",
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       " 1       13.636900\n",
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       " 4       12.577508\n",
       "           ...    \n",
       " 8755    15.890261\n",
       " 8756    14.738230\n",
       " 8757    13.969584\n",
       " 8758    13.955501\n",
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       " 4       13.407003\n",
       "           ...    \n",
       " 8755    16.938234\n",
       " 8756    15.710226\n",
       " 8757    14.890887\n",
       " 8758    14.875875\n",
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       " 1       14.584119\n",
       " 2       14.190506\n",
       " 3       13.718237\n",
       " 4       13.451142\n",
       "           ...    \n",
       " 8755    16.993998\n",
       " 8756    15.761948\n",
       " 8757    14.939911\n",
       " 8758    14.924850\n",
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       " 3       11.690050\n",
       " 4       11.462444\n",
       "           ...    \n",
       " 8755    14.481504\n",
       " 8756    13.431607\n",
       " 8757    12.731105\n",
       " 8758    12.718270\n",
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       " 3       15.141393\n",
       " 4       14.846590\n",
       "           ...    \n",
       " 8755    18.756989\n",
       " 8756    17.397123\n",
       " 8757    16.489807\n",
       " 8758    16.473183\n",
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       " 1       14.353974\n",
       " 2       13.966571\n",
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       " 4       13.238875\n",
       "           ...    \n",
       " 8755    16.725823\n",
       " 8756    15.513215\n",
       " 8757    14.704151\n",
       " 8758    14.689327\n",
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       " Name: 04012, Length: 8760, dtype: float64,\n",
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       " 1       19.333972\n",
       " 2       18.812164\n",
       " 3       18.186082\n",
       " 4       17.831998\n",
       "           ...    \n",
       " 8755    22.528716\n",
       " 8756    20.895403\n",
       " 8757    19.805640\n",
       " 8758    19.785673\n",
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       " 1       14.881696\n",
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       " 3       13.998146\n",
       " 4       13.725601\n",
       "           ...    \n",
       " 8755    17.340747\n",
       " 8756    16.083557\n",
       " 8757    15.244748\n",
       " 8758    15.229379\n",
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       " 2       15.889044\n",
       " 3       15.360246\n",
       " 4       15.061181\n",
       "           ...    \n",
       " 8755    19.028102\n",
       " 8756    17.648580\n",
       " 8757    16.728150\n",
       " 8758    16.711285\n",
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       " 1       15.094843\n",
       " 2       14.687445\n",
       " 3       14.198638\n",
       " 4       13.922189\n",
       "           ...    \n",
       " 8755    17.589114\n",
       " 8756    16.313918\n",
       " 8757    15.463094\n",
       " 8758    15.447505\n",
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       " 1       14.487630\n",
       " 2       14.096620\n",
       " 3       13.627475\n",
       " 4       13.362148\n",
       "           ...    \n",
       " 8755    16.881565\n",
       " 8756    15.657665\n",
       " 8757    14.841067\n",
       " 8758    14.826105\n",
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       " Name: 05116, Length: 8760, dtype: float64,\n",
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       " 3       14.720722\n",
       " 4       14.434108\n",
       "           ...    \n",
       " 8755    18.235866\n",
       " 8756    16.913781\n",
       " 8757    16.031673\n",
       " 8758    16.015510\n",
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       " Name: 05117, Length: 8760, dtype: float64,\n",
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       " 3       14.672172\n",
       " 4       14.386504\n",
       "           ...    \n",
       " 8755    18.175723\n",
       " 8756    16.857999\n",
       " 8757    15.978799\n",
       " 8758    15.962690\n",
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       " 3       14.672570\n",
       " 4       14.386894\n",
       "           ...    \n",
       " 8755    18.176216\n",
       " 8756    16.858456\n",
       " 8757    15.979233\n",
       " 8758    15.963123\n",
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       " Name: 05120, Length: 8760, dtype: float64,\n",
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       " 2       13.786744\n",
       " 3       13.327912\n",
       " 4       13.068416\n",
       "           ...    \n",
       " 8755    16.510469\n",
       " 8756    15.313473\n",
       " 8757    14.514826\n",
       " 8758    14.500193\n",
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       " 2       14.791086\n",
       " 3       14.298829\n",
       " 4       14.020430\n",
       "           ...    \n",
       " 8755    17.713230\n",
       " 8756    16.429036\n",
       " 8757    15.572209\n",
       " 8758    15.556509\n",
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       " 1       14.297365\n",
       " 2       13.911490\n",
       " 3       13.448507\n",
       " 4       13.186664\n",
       "           ...    \n",
       " 8755    16.659860\n",
       " 8756    15.452034\n",
       " 8757    14.646161\n",
       " 8758    14.631395\n",
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       " Name: 05154, Length: 8760, dtype: float64,\n",
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       " 1       15.666332\n",
       " 2       15.243510\n",
       " 3       14.736196\n",
       " 4       14.449282\n",
       "           ...    \n",
       " 8755    18.255036\n",
       " 8756    16.931561\n",
       " 8757    16.048525\n",
       " 8758    16.032346\n",
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       " Name: 05158, Length: 8760, dtype: float64,\n",
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       " 1       15.314983\n",
       " 2       14.901644\n",
       " 3       14.405707\n",
       " 4       14.125227\n",
       "           ...    \n",
       " 8755    17.845630\n",
       " 8756    16.551837\n",
       " 8757    15.688605\n",
       " 8758    15.672788\n",
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       " Name: 05162, Length: 8760, dtype: float64,\n",
       " 0       15.063935\n",
       " 1       14.651031\n",
       " 2       14.255612\n",
       " 3       13.781176\n",
       " 4       13.512855\n",
       "           ...    \n",
       " 8755    17.071967\n",
       " 8756    15.834264\n",
       " 8757    15.008456\n",
       " 8758    14.993325\n",
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       " Name: 05166, Length: 8760, dtype: float64,\n",
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       " 1       15.843378\n",
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       " 4       14.612574\n",
       "           ...    \n",
       " 8755    18.461337\n",
       " 8756    17.122905\n",
       " 8757    16.229891\n",
       " 8758    16.213528\n",
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       " 1       19.236988\n",
       " 2       18.717797\n",
       " 3       18.094856\n",
       " 4       17.742548\n",
       "           ...    \n",
       " 8755    22.415706\n",
       " 8756    20.790586\n",
       " 8757    19.706290\n",
       " 8758    19.686423\n",
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       " 0       18.409937\n",
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       " 2       17.422069\n",
       " 3       16.842251\n",
       " 4       16.514331\n",
       "           ...    \n",
       " 8755    20.863993\n",
       " 8756    19.351371\n",
       " 8757    18.342134\n",
       " 8758    18.323643\n",
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       " 4       14.594087\n",
       "           ...    \n",
       " 8755    18.437981\n",
       " 8756    17.101243\n",
       " 8757    16.209358\n",
       " 8758    16.193016\n",
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       " 4       15.224907\n",
       "           ...    \n",
       " 8755    19.234951\n",
       " 8756    17.840433\n",
       " 8757    16.909997\n",
       " 8758    16.892949\n",
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       " 1       15.711431\n",
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       " 4       14.490877\n",
       "           ...    \n",
       " 8755    18.307587\n",
       " 8756    16.980302\n",
       " 8757    16.094724\n",
       " 8758    16.078498\n",
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       " 2       14.848500\n",
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       " 4       14.074852\n",
       "           ...    \n",
       " 8755    17.781986\n",
       " 8756    16.492807\n",
       " 8757    15.632654\n",
       " 8758    15.616894\n",
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       " 4       13.434834\n",
       "           ...    \n",
       " 8755    16.973396\n",
       " 8756    15.742839\n",
       " 8757    14.921799\n",
       " 8758    14.906756\n",
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       " 4       13.324104\n",
       "           ...    \n",
       " 8755    16.833501\n",
       " 8756    15.613087\n",
       " 8757    14.798814\n",
       " 8758    14.783894\n",
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       " 4       14.089153\n",
       "           ...    \n",
       " 8755    17.800054\n",
       " 8756    16.509565\n",
       " 8757    15.648538\n",
       " 8758    15.632761\n",
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       " 4       14.311982\n",
       "           ...    \n",
       " 8755    18.081573\n",
       " 8756    16.770674\n",
       " 8757    15.896029\n",
       " 8758    15.880004\n",
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       " 4       13.888423\n",
       "           ...    \n",
       " 8755    17.546455\n",
       " 8756    16.274352\n",
       " 8757    15.425591\n",
       " 8758    15.410040\n",
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       " 4       13.912178\n",
       "           ...    \n",
       " 8755    17.576467\n",
       " 8756    16.302187\n",
       " 8757    15.451976\n",
       " 8758    15.436398\n",
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       " 4       13.318431\n",
       "           ...    \n",
       " 8755    16.826334\n",
       " 8756    15.606438\n",
       " 8757    14.792512\n",
       " 8758    14.777599\n",
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       " 4       16.852365\n",
       "           ...    \n",
       " 8755    21.291060\n",
       " 8756    19.747476\n",
       " 8757    18.717582\n",
       " 8758    18.698711\n",
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       " 4       14.436063\n",
       "           ...    \n",
       " 8755    18.238335\n",
       " 8756    16.916071\n",
       " 8757    16.033843\n",
       " 8758    16.017679\n",
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       " 4       13.925637\n",
       "           ...    \n",
       " 8755    17.593470\n",
       " 8756    16.317958\n",
       " 8757    15.466924\n",
       " 8758    15.451331\n",
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       " 4       13.764558\n",
       "           ...    \n",
       " 8755    17.389965\n",
       " 8756    16.129207\n",
       " 8757    15.288017\n",
       " 8758    15.272604\n",
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       " 4       13.614076\n",
       "           ...    \n",
       " 8755    17.199847\n",
       " 8756    15.952873\n",
       " 8757    15.120879\n",
       " 8758    15.105635\n",
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       " 4       13.764830\n",
       "           ...    \n",
       " 8755    17.390308\n",
       " 8756    16.129525\n",
       " 8757    15.288318\n",
       " 8758    15.272905\n",
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       " 4       15.345828\n",
       "           ...    \n",
       " 8755    19.387721\n",
       " 8756    17.982127\n",
       " 8757    17.044301\n",
       " 8758    17.027118\n",
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       " 4       14.146698\n",
       "           ...    \n",
       " 8755    17.872756\n",
       " 8756    16.576996\n",
       " 8757    15.712452\n",
       " 8758    15.696611\n",
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       " 4       13.208400\n",
       "           ...    \n",
       " 8755    16.687322\n",
       " 8756    15.477505\n",
       " 8757    14.670303\n",
       " 8758    14.655513\n",
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       " 4       12.949661\n",
       "           ...    \n",
       " 8755    16.360434\n",
       " 8756    15.174316\n",
       " 8757    14.382927\n",
       " 8758    14.368426\n",
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       " 4       13.350642\n",
       "           ...    \n",
       " 8755    16.867028\n",
       " 8756    15.644183\n",
       " 8757    14.828288\n",
       " 8758    14.813339\n",
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       " 4       13.463520\n",
       "           ...    \n",
       " 8755    17.009637\n",
       " 8756    15.776453\n",
       " 8757    14.953660\n",
       " 8758    14.938584\n",
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       " 4       14.147668\n",
       "           ...    \n",
       " 8755    17.873981\n",
       " 8756    16.578132\n",
       " 8757    15.713529\n",
       " 8758    15.697688\n",
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       " 1       16.055919\n",
       " 2       15.622583\n",
       " 3       15.102653\n",
       " 4       14.808604\n",
       "           ...    \n",
       " 8755    18.708999\n",
       " 8756    17.352612\n",
       " 8757    16.447617\n",
       " 8758    16.431035\n",
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       " 4       14.217882\n",
       "           ...    \n",
       " 8755    17.962688\n",
       " 8756    16.660408\n",
       " 8757    15.791514\n",
       " 8758    15.775594\n",
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       " 1       15.282030\n",
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       " 4       14.094834\n",
       "           ...    \n",
       " 8755    17.807231\n",
       " 8756    16.516222\n",
       " 8757    15.654848\n",
       " 8758    15.639065\n",
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       " 3       13.560645\n",
       " 4       13.296619\n",
       "           ...    \n",
       " 8755    16.798776\n",
       " 8756    15.580879\n",
       " 8757    14.768286\n",
       " 8758    14.753397\n",
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       " 4       12.915785\n",
       "           ...    \n",
       " 8755    16.317635\n",
       " 8756    15.134620\n",
       " 8757    14.345301\n",
       " 8758    14.330839\n",
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       " 1       15.200527\n",
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       " 3       14.298047\n",
       " 4       14.019663\n",
       "           ...    \n",
       " 8755    17.712261\n",
       " 8756    16.428137\n",
       " 8757    15.571356\n",
       " 8758    15.555658\n",
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       " 1       15.627287\n",
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       " 4       14.413270\n",
       "           ...    \n",
       " 8755    18.209539\n",
       " 8756    16.889363\n",
       " 8757    16.008528\n",
       " 8758    15.992389\n",
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       " Name: 05958, Length: 8760, dtype: float64,\n",
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       " 2       14.839077\n",
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       " 4       14.065921\n",
       "           ...    \n",
       " 8755    17.770703\n",
       " 8756    16.482341\n",
       " 8757    15.622734\n",
       " 8758    15.606984\n",
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       " 4       15.160437\n",
       "           ...    \n",
       " 8755    19.153500\n",
       " 8756    17.764888\n",
       " 8757    16.838391\n",
       " 8758    16.821416\n",
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       " 4       15.341235\n",
       "           ...    \n",
       " 8755    19.381918\n",
       " 8756    17.976745\n",
       " 8757    17.039200\n",
       " 8758    17.022022\n",
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       " 4       13.945052\n",
       "           ...    \n",
       " 8755    17.617998\n",
       " 8756    16.340708\n",
       " 8757    15.488487\n",
       " 8758    15.472872\n",
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       " 1       14.691324\n",
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       " 4       13.550018\n",
       "           ...    \n",
       " 8755    17.118917\n",
       " 8756    15.877810\n",
       " 8757    15.049731\n",
       " 8758    15.034558\n",
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       " Name: 05978, Length: 8760, dtype: float64,\n",
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       " 1       20.653213\n",
       " 2       20.095800\n",
       " 3       19.426998\n",
       " 4       19.048754\n",
       "           ...    \n",
       " 8755    24.065949\n",
       " 8756    22.321188\n",
       " 8757    21.157066\n",
       " 8758    21.135736\n",
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       " 1       20.327839\n",
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       " 4       18.748656\n",
       "           ...    \n",
       " 8755    23.686810\n",
       " 8756    21.969536\n",
       " 8757    20.823754\n",
       " 8758    20.802760\n",
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       " 1       13.648818\n",
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       " 4       12.588500\n",
       "           ...    \n",
       " 8755    15.904148\n",
       " 8756    14.751111\n",
       " 8757    13.981792\n",
       " 8758    13.967697\n",
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       " Name: 06413, Length: 8760, dtype: float64,\n",
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       " 1       16.525048\n",
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       " 4       15.241287\n",
       "           ...    \n",
       " 8755    19.255646\n",
       " 8756    17.859627\n",
       " 8757    16.928190\n",
       " 8758    16.911124\n",
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       " 1       15.069584\n",
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       " 3       14.174878\n",
       " 4       13.898892\n",
       "           ...    \n",
       " 8755    17.559681\n",
       " 8756    16.286619\n",
       " 8757    15.437219\n",
       " 8758    15.421656\n",
       " 8759    14.834754\n",
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       " 1       14.952167\n",
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       " 3       14.064432\n",
       " 4       13.790597\n",
       "           ...    \n",
       " 8755    17.422862\n",
       " 8756    16.159719\n",
       " 8757    15.316938\n",
       " 8758    15.301496\n",
       " 8759    14.719167\n",
       " Name: 06432, Length: 8760, dtype: float64,\n",
       " 0       15.576965\n",
       " 1       15.149999\n",
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       " 3       14.250519\n",
       " 4       13.973060\n",
       "           ...    \n",
       " 8755    17.653384\n",
       " 8756    16.373528\n",
       " 8757    15.519596\n",
       " 8758    15.503950\n",
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       " Name: 06433, Length: 8760, dtype: float64,\n",
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       " 1       16.813665\n",
       " 2       16.359878\n",
       " 3       15.815410\n",
       " 4       15.507483\n",
       "           ...    \n",
       " 8755    19.591954\n",
       " 8756    18.171554\n",
       " 8757    17.223848\n",
       " 8758    17.206484\n",
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       " 0       15.137175\n",
       " 1       14.722263\n",
       " 2       14.324921\n",
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       " 4       13.578554\n",
       "           ...    \n",
       " 8755    17.154969\n",
       " 8756    15.911248\n",
       " 8757    15.081425\n",
       " 8758    15.066221\n",
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       " Name: 06435, Length: 8760, dtype: float64,\n",
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       " 4       16.079066\n",
       "           ...    \n",
       " 8755    20.314084\n",
       " 8756    18.841330\n",
       " 8757    17.858693\n",
       " 8758    17.840689\n",
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       " Name: 06436, Length: 8760, dtype: float64,\n",
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       " 4       12.933355\n",
       "           ...    \n",
       " 8755    16.339834\n",
       " 8756    15.155210\n",
       " 8757    14.364816\n",
       " 8758    14.350334\n",
       " 8759    13.804204\n",
       " Name: 06437, Length: 8760, dtype: float64,\n",
       " 0       15.370037\n",
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       " 2       14.545288\n",
       " 3       14.061211\n",
       " 4       13.787439\n",
       "           ...    \n",
       " 8755    17.418872\n",
       " 8756    16.156018\n",
       " 8757    15.313430\n",
       " 8758    15.297991\n",
       " 8759    14.715795\n",
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       " 0       15.647298\n",
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       " 3       14.314862\n",
       " 4       14.036151\n",
       "           ...    \n",
       " 8755    17.733092\n",
       " 8756    16.447458\n",
       " 8757    15.589670\n",
       " 8758    15.573953\n",
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       " 0       14.951520\n",
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       " 3       13.678333\n",
       " 4       13.412015\n",
       "           ...    \n",
       " 8755    16.944567\n",
       " 8756    15.716100\n",
       " 8757    14.896455\n",
       " 8758    14.881437\n",
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       " 0       16.384674\n",
       " 1       15.935569\n",
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       " 3       14.989448\n",
       " 4       14.697603\n",
       "           ...    \n",
       " 8755    18.568761\n",
       " 8756    17.222541\n",
       " 8757    16.324330\n",
       " 8758    16.307873\n",
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       " 1       15.328214\n",
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       " 4       14.137431\n",
       "           ...    \n",
       " 8755    17.861048\n",
       " 8756    16.566137\n",
       " 8757    15.702159\n",
       " 8758    15.686329\n",
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       " 2       14.357270\n",
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       " 4       13.609217\n",
       "           ...    \n",
       " 8755    17.193709\n",
       " 8756    15.947180\n",
       " 8757    15.115483\n",
       " 8758    15.100244\n",
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       " 1       16.287734\n",
       " 2       15.848141\n",
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       " 4       15.022410\n",
       "           ...    \n",
       " 8755    18.979118\n",
       " 8756    17.603148\n",
       " 8757    16.685087\n",
       " 8758    16.668266\n",
       " 8759    16.033922\n",
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       " 1       14.142904\n",
       " 2       13.761199\n",
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       " 4       13.044203\n",
       "           ...    \n",
       " 8755    16.479877\n",
       " 8756    15.285100\n",
       " 8757    14.487933\n",
       " 8758    14.473326\n",
       " 8759    13.922515\n",
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       " 1       17.898075\n",
       " 2       17.415020\n",
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       " 4       16.507650\n",
       "           ...    \n",
       " 8755    20.855551\n",
       " 8756    19.343541\n",
       " 8757    18.334713\n",
       " 8758    18.316229\n",
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       " 1       14.755626\n",
       " 2       14.357383\n",
       " 3       13.879560\n",
       " 4       13.609324\n",
       "           ...    \n",
       " 8755    17.193844\n",
       " 8756    15.947305\n",
       " 8757    15.115602\n",
       " 8758    15.100363\n",
       " 8759    14.525688\n",
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       " 2       13.642833\n",
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       " 4       12.932004\n",
       "           ...    \n",
       " 8755    16.338127\n",
       " 8756    15.153627\n",
       " 8757    14.363316\n",
       " 8758    14.348836\n",
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       " 1       14.909034\n",
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       " 3       14.023860\n",
       " 4       13.750815\n",
       "           ...    \n",
       " 8755    17.372601\n",
       " 8756    16.113102\n",
       " 8757    15.272752\n",
       " 8758    15.257355\n",
       " 8759    14.676705\n",
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       " 1       14.714186\n",
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       " 3       13.840581\n",
       " 4       13.571104\n",
       "           ...    \n",
       " 8755    17.145557\n",
       " 8756    15.902519\n",
       " 8757    15.073151\n",
       " 8758    15.057955\n",
       " 8759    14.484894\n",
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       " 1       14.892585\n",
       " 2       14.490647\n",
       " 3       14.008388\n",
       " 4       13.735644\n",
       "           ...    \n",
       " 8755    17.353435\n",
       " 8756    16.095326\n",
       " 8757    15.255902\n",
       " 8758    15.240522\n",
       " 8759    14.660514\n",
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       " 0       13.980116\n",
       " 1       13.596920\n",
       " 2       13.229950\n",
       " 3       12.789648\n",
       " 4       12.540633\n",
       "           ...    \n",
       " 8755    15.843674\n",
       " 8756    14.695021\n",
       " 8757    13.928628\n",
       " 8758    13.914586\n",
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       " 1       18.396376\n",
       " 2       17.899873\n",
       " 3       17.304153\n",
       " 4       16.967240\n",
       "           ...    \n",
       " 8755    21.436192\n",
       " 8756    19.882086\n",
       " 8757    18.845171\n",
       " 8758    18.826172\n",
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       " 0       14.604315\n",
       " 1       14.204009\n",
       " 2       13.820654\n",
       " 3       13.360694\n",
       " 4       13.100560\n",
       "           ...    \n",
       " 8755    16.551078\n",
       " 8756    15.351139\n",
       " 8757    14.550528\n",
       " 8758    14.535858\n",
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       " 0       14.977728\n",
       " 1       14.567187\n",
       " 2       14.174030\n",
       " 3       13.702309\n",
       " 4       13.435524\n",
       "           ...    \n",
       " 8755    16.974268\n",
       " 8756    15.743648\n",
       " 8757    14.922565\n",
       " 8758    14.907521\n",
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       " Name: 07132, Length: 8760, dtype: float64,\n",
       " 0       15.126931\n",
       " 1       14.712300\n",
       " 2       14.315227\n",
       " 3       13.838807\n",
       " 4       13.569365\n",
       "           ...    \n",
       " 8755    17.143360\n",
       " 8756    15.900481\n",
       " 8757    15.071219\n",
       " 8758    15.056025\n",
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       " Name: 07133, Length: 8760, dtype: float64,\n",
       " 0       14.048464\n",
       " 1       13.663394\n",
       " 2       13.294630\n",
       " 3       12.852176\n",
       " 4       12.601944\n",
       "           ...    \n",
       " 8755    15.921133\n",
       " 8756    14.766864\n",
       " 8757    13.996724\n",
       " 8758    13.982613\n",
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       " Name: 07134, Length: 8760, dtype: float64,\n",
       " 0       14.768051\n",
       " 1       14.363257\n",
       " 2       13.975605\n",
       " 3       13.510487\n",
       " 4       13.247437\n",
       "           ...    \n",
       " 8755    16.736641\n",
       " 8756    15.523249\n",
       " 8757    14.713661\n",
       " 8758    14.698828\n",
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       " Name: 07135, Length: 8760, dtype: float64,\n",
       " 0       14.999792\n",
       " 1       14.588646\n",
       " 2       14.194911\n",
       " 3       13.722495\n",
       " 4       13.455317\n",
       "           ...    \n",
       " 8755    16.999274\n",
       " 8756    15.766840\n",
       " 8757    14.944549\n",
       " 8758    14.929482\n",
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       " Name: 07137, Length: 8760, dtype: float64,\n",
       " 0       14.582951\n",
       " 1       14.183231\n",
       " 2       13.800437\n",
       " 3       13.341149\n",
       " 4       13.081396\n",
       "           ...    \n",
       " 8755    16.526867\n",
       " 8756    15.328683\n",
       " 8757    14.529242\n",
       " 8758    14.514595\n",
       " 8759    13.962213\n",
       " Name: 07138, Length: 8760, dtype: float64,\n",
       " 0       15.293259\n",
       " 1       14.874070\n",
       " 2       14.472630\n",
       " 3       13.990972\n",
       " 4       13.718567\n",
       "           ...    \n",
       " 8755    17.331860\n",
       " 8756    16.075315\n",
       " 8757    15.236935\n",
       " 8758    15.221574\n",
       " 8759    14.642286\n",
       " Name: 07140, Length: 8760, dtype: float64,\n",
       " 0       14.424035\n",
       " 1       14.028671\n",
       " 2       13.650049\n",
       " 3       13.195766\n",
       " 4       12.938844\n",
       "           ...    \n",
       " 8755    16.346768\n",
       " 8756    15.161641\n",
       " 8757    14.370912\n",
       " 8758    14.356424\n",
       " 8759    13.810062\n",
       " Name: 07141, Length: 8760, dtype: float64,\n",
       " 0       15.029127\n",
       " 1       14.617177\n",
       " 2       14.222671\n",
       " 3       13.749331\n",
       " 4       13.481631\n",
       "           ...    \n",
       " 8755    17.032518\n",
       " 8756    15.797675\n",
       " 8757    14.973775\n",
       " 8758    14.958679\n",
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       " Name: 07143, Length: 8760, dtype: float64,\n",
       " 0       16.633428\n",
       " 1       16.177504\n",
       " 2       15.740887\n",
       " 3       15.217020\n",
       " 4       14.920743\n",
       "           ...    \n",
       " 8755    18.850674\n",
       " 8756    17.484016\n",
       " 8757    16.572168\n",
       " 8758    16.555461\n",
       " 8759    15.925410\n",
       " Name: 07211, Length: 8760, dtype: float64,\n",
       " 0       14.247545\n",
       " 1       13.857018\n",
       " 2       13.483028\n",
       " 3       13.034304\n",
       " 4       12.780526\n",
       "           ...    \n",
       " 8755    16.146751\n",
       " 8756    14.976125\n",
       " 8757    14.195072\n",
       " 8758    14.180761\n",
       " 8759    13.641083\n",
       " Name: 07231, Length: 8760, dtype: float64,\n",
       " 0       13.915438\n",
       " 1       13.534014\n",
       " 2       13.168742\n",
       " 3       12.730478\n",
       " 4       12.482615\n",
       "           ...    \n",
       " 8755    15.770374\n",
       " 8756    14.627035\n",
       " 8757    13.864188\n",
       " 8758    13.850211\n",
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       " Name: 07232, Length: 8760, dtype: float64,\n",
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       " 1       14.384817\n",
       " 2       13.996583\n",
       " 3       13.530767\n",
       " 4       13.267322\n",
       "           ...    \n",
       " 8755    16.761763\n",
       " 8756    15.546550\n",
       " 8757    14.735747\n",
       " 8758    14.720891\n",
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       " Name: 07233, Length: 8760, dtype: float64,\n",
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       " 1       13.687532\n",
       " 2       13.318117\n",
       " 3       12.874881\n",
       " 4       12.624206\n",
       "           ...    \n",
       " 8755    15.949259\n",
       " 8756    14.792951\n",
       " 8757    14.021451\n",
       " 8758    14.007315\n",
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       " Name: 07235, Length: 8760, dtype: float64,\n",
       " 0       15.549499\n",
       " 1       15.123285\n",
       " 2       14.715120\n",
       " 3       14.225391\n",
       " 4       13.948422\n",
       "           ...    \n",
       " 8755    17.622256\n",
       " 8756    16.344657\n",
       " 8757    15.492231\n",
       " 8758    15.476612\n",
       " 8759    14.887619\n",
       " Name: 07311, Length: 8760, dtype: float64,\n",
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       " 1       17.247514\n",
       " 2       16.782018\n",
       " 3       16.223501\n",
       " 4       15.907629\n",
       "           ...    \n",
       " 8755    20.097493\n",
       " 8756    18.640441\n",
       " 8757    17.668282\n",
       " 8758    17.650470\n",
       " 8759    16.978746\n",
       " Name: 07312, Length: 8760, dtype: float64,\n",
       " 0       17.945197\n",
       " 1       17.453317\n",
       " 2       16.982266\n",
       " 3       16.417085\n",
       " 4       16.097444\n",
       "           ...    \n",
       " 8755    20.337302\n",
       " 8756    18.862865\n",
       " 8757    17.879106\n",
       " 8758    17.861081\n",
       " 8759    17.181341\n",
       " Name: 07313, Length: 8760, dtype: float64,\n",
       " 0       17.676870\n",
       " 1       17.192345\n",
       " 2       16.728337\n",
       " 3       16.171607\n",
       " 4       15.856745\n",
       "           ...    \n",
       " 8755    20.033207\n",
       " 8756    18.580816\n",
       " 8757    17.611767\n",
       " 8758    17.594011\n",
       " 8759    16.924436\n",
       " Name: 07314, Length: 8760, dtype: float64,\n",
       " 0       20.032916\n",
       " 1       19.483811\n",
       " 2       18.957959\n",
       " 3       18.327026\n",
       " 4       17.970197\n",
       "           ...    \n",
       " 8755    22.703315\n",
       " 8756    21.057344\n",
       " 8757    19.959135\n",
       " 8758    19.939013\n",
       " 8759    19.180194\n",
       " Name: 07315, Length: 8760, dtype: float64,\n",
       " 0       15.325800\n",
       " 1       14.905718\n",
       " 2       14.503425\n",
       " 3       14.020742\n",
       " 4       13.747757\n",
       "           ...    \n",
       " 8755    17.368738\n",
       " 8756    16.109519\n",
       " 8757    15.269356\n",
       " 8758    15.253962\n",
       " 8759    14.673442\n",
       " Name: 07316, Length: 8760, dtype: float64,\n",
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       " 1       14.376231\n",
       " 2       13.988229\n",
       " 3       13.522691\n",
       " 4       13.259404\n",
       "           ...    \n",
       " 8755    16.751759\n",
       " 8756    15.537271\n",
       " 8757    14.726952\n",
       " 8758    14.712105\n",
       " 8759    14.152206\n",
       " Name: 07317, Length: 8760, dtype: float64,\n",
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       " 1       18.237142\n",
       " 2       17.744936\n",
       " 3       17.154373\n",
       " 4       16.820376\n",
       "           ...    \n",
       " 8755    21.250646\n",
       " 8756    19.709992\n",
       " 8757    18.682052\n",
       " 8758    18.663218\n",
       " 8759    17.952951\n",
       " Name: 07318, Length: 8760, dtype: float64,\n",
       " 0       15.419231\n",
       " 1       14.996588\n",
       " 2       14.591842\n",
       " 3       14.106216\n",
       " 4       13.831567\n",
       "           ...    \n",
       " 8755    17.474623\n",
       " 8756    16.207728\n",
       " 8757    15.362442\n",
       " 8758    15.346955\n",
       " 8759    14.762896\n",
       " Name: 07319, Length: 8760, dtype: float64,\n",
       " 0       16.233272\n",
       " 1       15.788317\n",
       " 2       15.362203\n",
       " 3       14.850939\n",
       " 4       14.561790\n",
       "           ...    \n",
       " 8755    18.397177\n",
       " 8756    17.063397\n",
       " 8757    16.173486\n",
       " 8758    16.157181\n",
       " 8759    15.542287\n",
       " Name: 07320, Length: 8760, dtype: float64,\n",
       " 0       14.808270\n",
       " 1       14.402374\n",
       " 2       14.013665\n",
       " 3       13.547281\n",
       " 4       13.283515\n",
       "           ...    \n",
       " 8755    16.782221\n",
       " 8756    15.565524\n",
       " 8757    14.753732\n",
       " 8758    14.738858\n",
       " 8759    14.177941\n",
       " Name: 07331, Length: 8760, dtype: float64,\n",
       " 0       15.566190\n",
       " 1       15.139519\n",
       " 2       14.730916\n",
       " 3       14.240661\n",
       " 4       13.963395\n",
       "           ...    \n",
       " 8755    17.641172\n",
       " 8756    16.362202\n",
       " 8757    15.508860\n",
       " 8758    15.493225\n",
       " 8759    14.903599\n",
       " Name: 07332, Length: 8760, dtype: float64,\n",
       " 0       15.345809\n",
       " 1       14.925178\n",
       " 2       14.522360\n",
       " 3       14.039046\n",
       " 4       13.765705\n",
       "           ...    \n",
       " 8755    17.391414\n",
       " 8756    16.130551\n",
       " 8757    15.289291\n",
       " 8758    15.273877\n",
       " 8759    14.692599\n",
       " Name: 07333, Length: 8760, dtype: float64,\n",
       " 0       16.011177\n",
       " 1       15.572309\n",
       " 2       15.152025\n",
       " 3       14.647755\n",
       " 4       14.362563\n",
       "           ...    \n",
       " 8755    18.145476\n",
       " 8756    16.829944\n",
       " 8757    15.952208\n",
       " 8758    15.936126\n",
       " 8759    15.329645\n",
       " Name: 07334, Length: 8760, dtype: float64,\n",
       " 0       14.389775\n",
       " 1       13.995350\n",
       " 2       13.617626\n",
       " 3       13.164423\n",
       " 4       12.908111\n",
       "           ...    \n",
       " 8755    16.307940\n",
       " 8756    15.125628\n",
       " 8757    14.336778\n",
       " 8758    14.322324\n",
       " 8759    13.777259\n",
       " Name: 07335, Length: 8760, dtype: float64,\n",
       " 0       14.775482\n",
       " 1       14.370485\n",
       " 2       13.982637\n",
       " 3       13.517286\n",
       " 4       13.254103\n",
       "           ...    \n",
       " 8755    16.745063\n",
       " 8756    15.531060\n",
       " 8757    14.721065\n",
       " 8758    14.706224\n",
       " 8759    14.146549\n",
       " Name: 07336, Length: 8760, dtype: float64,\n",
       " 0       14.876534\n",
       " 1       14.468767\n",
       " 2       14.078267\n",
       " 3       13.609733\n",
       " 4       13.344750\n",
       "           ...    \n",
       " 8755    16.859585\n",
       " 8756    15.637280\n",
       " 8757    14.821745\n",
       " 8758    14.806802\n",
       " 8759    14.243300\n",
       " Name: 07337, Length: 8760, dtype: float64,\n",
       " 0       16.310387\n",
       " 1       15.863318\n",
       " 2       15.435179\n",
       " 3       14.921487\n",
       " 4       14.630964\n",
       "           ...    \n",
       " 8755    18.484571\n",
       " 8756    17.144455\n",
       " 8757    16.250317\n",
       " 8758    16.233934\n",
       " 8759    15.616119\n",
       " Name: 07338, Length: 8760, dtype: float64,\n",
       " 0       15.898105\n",
       " 1       15.462337\n",
       " 2       15.045021\n",
       " 3       14.544313\n",
       " 4       14.261134\n",
       "           ...    \n",
       " 8755    18.017332\n",
       " 8756    16.711091\n",
       " 8757    15.839553\n",
       " 8758    15.823585\n",
       " 8759    15.221386\n",
       " Name: 07339, Length: 8760, dtype: float64,\n",
       " 0       13.470223\n",
       " 1       13.101003\n",
       " 2       12.747417\n",
       " 3       12.323175\n",
       " 4       12.083242\n",
       "           ...    \n",
       " 8755    15.265811\n",
       " 8756    14.159053\n",
       " 8757    13.420613\n",
       " 8758    13.407082\n",
       " 8759    12.896849\n",
       " Name: 07340, Length: 8760, dtype: float64,\n",
       " 0       21.024816\n",
       " 1       20.448524\n",
       " 2       19.896635\n",
       " 3       19.234462\n",
       " 4       18.859965\n",
       "           ...    \n",
       " 8755    23.827437\n",
       " 8756    22.099967\n",
       " 8757    20.947383\n",
       " 8758    20.926265\n",
       " 8759    20.129874\n",
       " Name: 08111, Length: 8760, dtype: float64,\n",
       " 0       19.367313\n",
       " 1       18.836453\n",
       " 2       18.328073\n",
       " 3       17.718102\n",
       " 4       17.373130\n",
       "           ...    \n",
       " 8755    21.948988\n",
       " 8756    20.357705\n",
       " 8757    19.295984\n",
       " 8758    19.276531\n",
       " 8759    18.542924\n",
       " Name: 08115, Length: 8760, dtype: float64,\n",
       " 0       17.656465\n",
       " 1       17.172500\n",
       " 2       16.709028\n",
       " 3       16.152941\n",
       " 4       15.838442\n",
       "           ...    \n",
       " 8755    20.010083\n",
       " 8756    18.559368\n",
       " 8757    17.591437\n",
       " 8758    17.573703\n",
       " 8759    16.904900\n",
       " Name: 08116, Length: 8760, dtype: float64,\n",
       " 0       15.896184\n",
       " 1       15.460468\n",
       " 2       15.043203\n",
       " 3       14.542555\n",
       " 4       14.259410\n",
       "           ...    \n",
       " 8755    18.015155\n",
       " 8756    16.709071\n",
       " 8757    15.837639\n",
       " 8758    15.821672\n",
       " 8759    15.219547\n",
       " Name: 08117, Length: 8760, dtype: float64,\n",
       " 0       17.180943\n",
       " 1       16.710012\n",
       " 2       16.259022\n",
       " 3       15.717911\n",
       " 4       15.411882\n",
       "           ...    \n",
       " 8755    19.471173\n",
       " 8756    18.059529\n",
       " 8757    17.117666\n",
       " 8758    17.100409\n",
       " 8759    16.449619\n",
       " Name: 08118, Length: 8760, dtype: float64,\n",
       " 0       16.856326\n",
       " 1       16.394292\n",
       " 2       15.951824\n",
       " 3       15.420937\n",
       " 4       15.120690\n",
       "           ...    \n",
       " 8755    19.103284\n",
       " 8756    17.718312\n",
       " 8757    16.794245\n",
       " 8758    16.777314\n",
       " 8759    16.138819\n",
       " Name: 08119, Length: 8760, dtype: float64,\n",
       " 0       17.914464\n",
       " 1       17.423426\n",
       " 2       16.953182\n",
       " 3       16.388969\n",
       " 4       16.069875\n",
       "           ...    \n",
       " 8755    20.302472\n",
       " 8756    18.830560\n",
       " 8757    17.848486\n",
       " 8758    17.830491\n",
       " 8759    17.151916\n",
       " Name: 08121, Length: 8760, dtype: float64,\n",
       " 0       16.278624\n",
       " 1       15.832425\n",
       " 2       15.405121\n",
       " 3       14.892428\n",
       " 4       14.602472\n",
       "           ...    \n",
       " 8755    18.448574\n",
       " 8756    17.111068\n",
       " 8757    16.218670\n",
       " 8758    16.202319\n",
       " 8759    15.585708\n",
       " Name: 08125, Length: 8760, dtype: float64,\n",
       " 0       16.416314\n",
       " 1       15.966341\n",
       " 2       15.535423\n",
       " 3       15.018394\n",
       " 4       14.725985\n",
       "           ...    \n",
       " 8755    18.604619\n",
       " 8756    17.255799\n",
       " 8757    16.355854\n",
       " 8758    16.339365\n",
       " 8759    15.717537\n",
       " Name: 08126, Length: 8760, dtype: float64,\n",
       " 0       15.890964\n",
       " 1       15.455391\n",
       " 2       15.038263\n",
       " 3       14.537779\n",
       " 4       14.254728\n",
       "           ...    \n",
       " 8755    18.009239\n",
       " 8756    16.703584\n",
       " 8757    15.832438\n",
       " 8758    15.816477\n",
       " 8759    15.214549\n",
       " Name: 08127, Length: 8760, dtype: float64,\n",
       " 0       15.944331\n",
       " 1       15.507296\n",
       " 2       15.088766\n",
       " 3       14.586602\n",
       " 4       14.302600\n",
       "           ...    \n",
       " 8755    18.069720\n",
       " 8756    16.759681\n",
       " 8757    15.885609\n",
       " 8758    15.869594\n",
       " 8759    15.265645\n",
       " Name: 08128, Length: 8760, dtype: float64,\n",
       " 0       16.291183\n",
       " 1       15.844640\n",
       " 2       15.417006\n",
       " 3       14.903918\n",
       " 4       14.613738\n",
       "           ...    \n",
       " 8755    18.462807\n",
       " 8756    17.124269\n",
       " 8757    16.231183\n",
       " 8758    16.214820\n",
       " 8759    15.597732\n",
       " Name: 08135, Length: 8760, dtype: float64,\n",
       " 0       17.500480\n",
       " 1       17.020790\n",
       " 2       16.561413\n",
       " 3       16.010238\n",
       " 4       15.698518\n",
       "           ...    \n",
       " 8755    19.833305\n",
       " 8756    18.395407\n",
       " 8757    17.436027\n",
       " 8758    17.418449\n",
       " 8759    16.755555\n",
       " Name: 08136, Length: 8760, dtype: float64,\n",
       " 0       18.120374\n",
       " 1       17.623693\n",
       " 2       17.148043\n",
       " 3       16.577345\n",
       " 4       16.254583\n",
       "           ...    \n",
       " 8755    20.535831\n",
       " 8756    19.047000\n",
       " 8757    18.053637\n",
       " 8758    18.035437\n",
       " 8759    17.349062\n",
       " Name: 08211, Length: 8760, dtype: float64,\n",
       " 0       19.538105\n",
       " 1       19.002564\n",
       " 2       18.489700\n",
       " 3       17.874351\n",
       " 4       17.526336\n",
       "           ...    \n",
       " 8755    22.142547\n",
       " 8756    20.537231\n",
       " 8757    19.466148\n",
       " 8758    19.446523\n",
       " 8759    18.706446\n",
       " Name: 08212, Length: 8760, dtype: float64,\n",
       " 0       16.235430\n",
       " 1       15.790415\n",
       " 2       15.364245\n",
       " 3       14.852913\n",
       " 4       14.563725\n",
       "           ...    \n",
       " 8755    18.399622\n",
       " 8756    17.065665\n",
       " 8757    16.175636\n",
       " 8758    16.159328\n",
       " 8759    15.544352\n",
       " Name: 08215, Length: 8760, dtype: float64,\n",
       " 0       16.597872\n",
       " 1       16.142922\n",
       " 2       15.707238\n",
       " 3       15.184491\n",
       " 4       14.888848\n",
       "           ...    \n",
       " 8755    18.810378\n",
       " 8756    17.446641\n",
       " 8757    16.536743\n",
       " 8758    16.520071\n",
       " 8759    15.891366\n",
       " Name: 08216, Length: 8760, dtype: float64,\n",
       " 0       21.225652\n",
       " 1       20.643854\n",
       " 2       20.086694\n",
       " 3       19.418195\n",
       " 4       19.040122\n",
       "           ...    \n",
       " 8755    24.055044\n",
       " 8756    22.311073\n",
       " 8757    21.147479\n",
       " 8758    21.126159\n",
       " 8759    20.322160\n",
       " Name: 08221, Length: 8760, dtype: float64,\n",
       " 0       19.291298\n",
       " 1       18.762522\n",
       " 2       18.256136\n",
       " 3       17.648560\n",
       " 4       17.304942\n",
       "           ...    \n",
       " 8755    21.862840\n",
       " 8756    20.277802\n",
       " 8757    19.220249\n",
       " 8758    19.200872\n",
       " 8759    18.470145\n",
       " Name: 08222, Length: 8760, dtype: float64,\n",
       " 0       15.332970\n",
       " 1       14.912692\n",
       " 2       14.510210\n",
       " 3       14.027301\n",
       " 4       13.754189\n",
       "           ...    \n",
       " 8755    17.376864\n",
       " 8756    16.117056\n",
       " 8757    15.276499\n",
       " 8758    15.261098\n",
       " 8759    14.680307\n",
       " Name: 08225, Length: 8760, dtype: float64,\n",
       " 0       16.104851\n",
       " 1       15.663416\n",
       " 2       15.240673\n",
       " 3       14.733453\n",
       " 4       14.446592\n",
       "           ...    \n",
       " 8755    18.251638\n",
       " 8756    16.928409\n",
       " 8757    16.045538\n",
       " 8758    16.029362\n",
       " 8759    15.419332\n",
       " Name: 08226, Length: 8760, dtype: float64,\n",
       " 0       15.502524\n",
       " 1       15.077598\n",
       " 2       14.670666\n",
       " 3       14.182416\n",
       " 4       13.906284\n",
       "           ...    \n",
       " 8755    17.569019\n",
       " 8756    16.295280\n",
       " 8757    15.445429\n",
       " 8758    15.429857\n",
       " 8759    14.842643\n",
       " Name: 08231, Length: 8760, dtype: float64,\n",
       " 0       15.158945\n",
       " 1       14.743436\n",
       " 2       14.345523\n",
       " 3       13.868095\n",
       " 4       13.598082\n",
       "           ...    \n",
       " 8755    17.179641\n",
       " 8756    15.934131\n",
       " 8757    15.103115\n",
       " 8758    15.087889\n",
       " 8759    14.513689\n",
       " Name: 08235, Length: 8760, dtype: float64,\n",
       " 0       15.275534\n",
       " 1       14.856830\n",
       " 2       14.455856\n",
       " 3       13.974756\n",
       " 4       13.702667\n",
       "           ...    \n",
       " 8755    17.311772\n",
       " 8756    16.056683\n",
       " 8757    15.219275\n",
       " 8758    15.203932\n",
       " 8759    14.625315\n",
       " Name: 08236, Length: 8760, dtype: float64,\n",
       " 0       16.232707\n",
       " 1       15.787767\n",
       " 2       15.361668\n",
       " 3       14.850421\n",
       " 4       14.561283\n",
       "           ...    \n",
       " 8755    18.396536\n",
       " 8756    17.062803\n",
       " 8757    16.172923\n",
       " 8758    16.156618\n",
       " 8759    15.541745\n",
       " Name: 08237, Length: 8760, dtype: float64,\n",
       " 0       19.168337\n",
       " 1       18.642931\n",
       " 2       18.139773\n",
       " 3       17.536069\n",
       " 4       17.194641\n",
       "           ...    \n",
       " 8755    21.723487\n",
       " 8756    20.148553\n",
       " 8757    19.097741\n",
       " 8758    19.078487\n",
       " 8759    18.352417\n",
       " Name: 08311, Length: 8760, dtype: float64,\n",
       " 0       14.798739\n",
       " 1       14.393104\n",
       " 2       14.004646\n",
       " 3       13.538562\n",
       " 4       13.274965\n",
       "           ...    \n",
       " 8755    16.771420\n",
       " 8756    15.555506\n",
       " 8757    14.744236\n",
       " 8758    14.729372\n",
       " 8759    14.168816\n",
       " Name: 08315, Length: 8760, dtype: float64,\n",
       " 0       15.335601\n",
       " 1       14.915251\n",
       " 2       14.512700\n",
       " 3       14.029708\n",
       " 4       13.756549\n",
       "           ...    \n",
       " 8755    17.379846\n",
       " 8756    16.119822\n",
       " 8757    15.279121\n",
       " 8758    15.263717\n",
       " 8759    14.682826\n",
       " Name: 08316, Length: 8760, dtype: float64,\n",
       " 0       16.053119\n",
       " 1       15.613101\n",
       " 2       15.191716\n",
       " 3       14.686126\n",
       " 4       14.400186\n",
       "           ...    \n",
       " 8755    18.193009\n",
       " 8756    16.874031\n",
       " 8757    15.993996\n",
       " 8758    15.977871\n",
       " 8759    15.369802\n",
       " Name: 08317, Length: 8760, dtype: float64,\n",
       " 0       16.622554\n",
       " 1       16.166928\n",
       " 2       15.730595\n",
       " 3       15.207071\n",
       " 4       14.910988\n",
       "           ...    \n",
       " 8755    18.838350\n",
       " 8756    17.472585\n",
       " 8757    16.561333\n",
       " 8758    16.544637\n",
       " 8759    15.914998\n",
       " Name: 08325, Length: 8760, dtype: float64,\n",
       " 0       15.791616\n",
       " 1       15.358766\n",
       " 2       14.944246\n",
       " 3       14.446891\n",
       " 4       14.165609\n",
       "           ...    \n",
       " 8755    17.896648\n",
       " 8756    16.599156\n",
       " 8757    15.733456\n",
       " 8758    15.717594\n",
       " 8759    15.119430\n",
       " Name: 08326, Length: 8760, dtype: float64,\n",
       " 0       17.062670\n",
       " 1       16.594981\n",
       " 2       16.147096\n",
       " 3       15.609710\n",
       " 4       15.305788\n",
       "           ...    \n",
       " 8755    19.337134\n",
       " 8756    17.935208\n",
       " 8757    16.999829\n",
       " 8758    16.982691\n",
       " 8759    16.336380\n",
       " Name: 08327, Length: 8760, dtype: float64,\n",
       " 0       16.010057\n",
       " 1       15.571219\n",
       " 2       15.150965\n",
       " 3       14.646731\n",
       " 4       14.361558\n",
       "           ...    \n",
       " 8755    18.144207\n",
       " 8756    16.828767\n",
       " 8757    15.951093\n",
       " 8758    15.935011\n",
       " 8759    15.328572\n",
       " Name: 08335, Length: 8760, dtype: float64,\n",
       " 0       14.969369\n",
       " 1       14.559058\n",
       " 2       14.166120\n",
       " 3       13.694663\n",
       " 4       13.428027\n",
       "           ...    \n",
       " 8755    16.964795\n",
       " 8756    15.734862\n",
       " 8757    14.914238\n",
       " 8758    14.899202\n",
       " 8759    14.332183\n",
       " Name: 08336, Length: 8760, dtype: float64,\n",
       " 0       14.246915\n",
       " 1       13.856406\n",
       " 2       13.482433\n",
       " 3       13.033728\n",
       " 4       12.779961\n",
       "           ...    \n",
       " 8755    16.146037\n",
       " 8756    14.975463\n",
       " 8757    14.194444\n",
       " 8758    14.180134\n",
       " 8759    13.640481\n",
       " Name: 08337, Length: 8760, dtype: float64,\n",
       " 0       17.028063\n",
       " 1       16.561322\n",
       " 2       16.114346\n",
       " 3       15.578050\n",
       " 4       15.274744\n",
       "           ...    \n",
       " 8755    19.297914\n",
       " 8756    17.898832\n",
       " 8757    16.965350\n",
       " 8758    16.948246\n",
       " 8759    16.303246\n",
       " Name: 08415, Length: 8760, dtype: float64,\n",
       " 0       18.401874\n",
       " 1       17.897477\n",
       " 2       17.414439\n",
       " 3       16.834875\n",
       " 4       16.507099\n",
       "           ...    \n",
       " 8755    20.854855\n",
       " 8756    19.342896\n",
       " 8757    18.334101\n",
       " 8758    18.315617\n",
       " 8759    17.618580\n",
       " Name: 08416, Length: 8760, dtype: float64,\n",
       " 0       15.341372\n",
       " 1       14.920863\n",
       " 2       14.518161\n",
       " 3       14.034987\n",
       " 4       13.761725\n",
       "           ...    \n",
       " 8755    17.386386\n",
       " 8756    16.125887\n",
       " 8757    15.284870\n",
       " 8758    15.269461\n",
       " 8759    14.688351\n",
       " Name: 08417, Length: 8760, dtype: float64,\n",
       " 0       21.641261\n",
       " 1       21.048071\n",
       " 2       20.480001\n",
       " 3       19.798413\n",
       " 4       19.412937\n",
       "           ...    \n",
       " 8755    24.526054\n",
       " 8756    22.747935\n",
       " 8757    21.561557\n",
       " 8758    21.539820\n",
       " 8759    20.720078\n",
       " Name: 08421, Length: 8760, dtype: float64,\n",
       " 0       15.099702\n",
       " 1       14.685818\n",
       " 2       14.289459\n",
       " 3       13.813897\n",
       " 4       13.544939\n",
       "           ...    \n",
       " 8755    17.112501\n",
       " 8756    15.871859\n",
       " 8757    15.044090\n",
       " 8758    15.028924\n",
       " 8759    14.456968\n",
       " Name: 08425, Length: 8760, dtype: float64,\n",
       " 0       17.536232\n",
       " 1       17.055562\n",
       " 2       16.595246\n",
       " 3       16.042945\n",
       " 4       15.730588\n",
       "           ...    \n",
       " 8755    19.873822\n",
       " 8756    18.432987\n",
       " 8757    17.471647\n",
       " 8758    17.454033\n",
       " 8759    16.789784\n",
       " Name: 08426, Length: 8760, dtype: float64,\n",
       " 0       17.724452\n",
       " 1       17.238623\n",
       " 2       16.773366\n",
       " 3       16.215138\n",
       " 4       15.899428\n",
       "           ...    \n",
       " 8755    20.087132\n",
       " 8756    18.630832\n",
       " 8757    17.659174\n",
       " 8758    17.641370\n",
       " 8759    16.969993\n",
       " Name: 08435, Length: 8760, dtype: float64,\n",
       " 0       16.431132\n",
       " 1       15.980753\n",
       " 2       15.549446\n",
       " 3       15.031950\n",
       " 4       14.739277\n",
       "           ...    \n",
       " 8755    18.621412\n",
       " 8756    17.271375\n",
       " 8757    16.370617\n",
       " 8758    16.354113\n",
       " 8759    15.731724\n",
       " Name: 08436, Length: 8760, dtype: float64,\n",
       " 0       15.721523\n",
       " 1       15.290594\n",
       " 2       14.877914\n",
       " 3       14.382767\n",
       " 4       14.102733\n",
       "           ...    \n",
       " 8755    17.817211\n",
       " 8756    16.525478\n",
       " 8757    15.663621\n",
       " 8758    15.647830\n",
       " 8759    15.052320\n",
       " Name: 08437, Length: 8760, dtype: float64,\n",
       " 0       22.892780\n",
       " 1       22.265287\n",
       " 2       21.664365\n",
       " 3       20.943360\n",
       " 4       20.535592\n",
       "           ...    \n",
       " 8755    25.944402\n",
       " 8756    24.063454\n",
       " 8757    22.808467\n",
       " 8758    22.785473\n",
       " 8759    21.918326\n",
       " Name: 09161, Length: 8760, dtype: float64,\n",
       " 0       19.671380\n",
       " 1       19.132185\n",
       " 2       18.615823\n",
       " 3       17.996276\n",
       " 4       17.645888\n",
       "           ...    \n",
       " 8755    22.293586\n",
       " 8756    20.677320\n",
       " 8757    19.598931\n",
       " 8758    19.579172\n",
       " 8759    18.834048\n",
       " Name: 09162, Length: 8760, dtype: float64,\n",
       " 0       17.475734\n",
       " 1       16.996722\n",
       " 2       16.537994\n",
       " 3       15.987599\n",
       " 4       15.676320\n",
       "           ...    \n",
       " 8755    19.805260\n",
       " 8756    18.369395\n",
       " 8757    17.411371\n",
       " 8758    17.393818\n",
       " 8759    16.731861\n",
       " Name: 09163, Length: 8760, dtype: float64,\n",
       " 0       16.552709\n",
       " 1       16.098997\n",
       " 2       15.664498\n",
       " 3       15.143174\n",
       " 4       14.848335\n",
       "           ...    \n",
       " 8755    18.759195\n",
       " 8756    17.399169\n",
       " 8757    16.491746\n",
       " 8758    16.475120\n",
       " 8759    15.848126\n",
       " Name: 09171, Length: 8760, dtype: float64,\n",
       " 0       13.959344\n",
       " 1       13.576717\n",
       " 2       13.210292\n",
       " 3       12.770645\n",
       " 4       12.522000\n",
       "           ...    \n",
       " 8755    15.820133\n",
       " 8756    14.673187\n",
       " 8757    13.907932\n",
       " 8758    13.893911\n",
       " 8759    13.365150\n",
       " Name: 09172, Length: 8760, dtype: float64,\n",
       " 0       14.250814\n",
       " 1       13.860198\n",
       " 2       13.486123\n",
       " 3       13.037296\n",
       " 4       12.783459\n",
       "           ...    \n",
       " 8755    16.150457\n",
       " 8756    14.979562\n",
       " 8757    14.198329\n",
       " 8758    14.184015\n",
       " 8759    13.644214\n",
       " Name: 09173, Length: 8760, dtype: float64,\n",
       " 0       15.736328\n",
       " 1       15.304993\n",
       " 2       14.891924\n",
       " 3       14.396311\n",
       " 4       14.116014\n",
       "           ...    \n",
       " 8755    17.833990\n",
       " 8756    16.541040\n",
       " 8757    15.678372\n",
       " 8758    15.662565\n",
       " 8759    15.066495\n",
       " Name: 09174, Length: 8760, dtype: float64,\n",
       " 0       15.461920\n",
       " 1       15.038107\n",
       " 2       14.632241\n",
       " 3       14.145270\n",
       " 4       13.869861\n",
       "           ...    \n",
       " 8755    17.523003\n",
       " 8756    16.252600\n",
       " 8757    15.404975\n",
       " 8758    15.389444\n",
       " 8759    14.803768\n",
       " Name: 09175, Length: 8760, dtype: float64,\n",
       " 0       17.497330\n",
       " 1       17.017727\n",
       " 2       16.558432\n",
       " 3       16.007356\n",
       " 4       15.695692\n",
       "           ...    \n",
       " 8755    19.829735\n",
       " 8756    18.392096\n",
       " 8757    17.432888\n",
       " 8758    17.415313\n",
       " 8759    16.752539\n",
       " Name: 09176, Length: 8760, dtype: float64,\n",
       " 0       14.812851\n",
       " 1       14.406829\n",
       " 2       14.018000\n",
       " 3       13.551472\n",
       " 4       13.287624\n",
       "           ...    \n",
       " 8755    16.787413\n",
       " 8756    15.570339\n",
       " 8757    14.758296\n",
       " 8758    14.743417\n",
       " 8759    14.182327\n",
       " Name: 09177, Length: 8760, dtype: float64,\n",
       " 0       16.616107\n",
       " 1       16.160658\n",
       " 2       15.724494\n",
       " 3       15.201173\n",
       " 4       14.905205\n",
       "           ...    \n",
       " 8755    18.831044\n",
       " 8756    17.465809\n",
       " 8757    16.554910\n",
       " 8758    16.538220\n",
       " 8759    15.908825\n",
       " Name: 09178, Length: 8760, dtype: float64,\n",
       " 0       15.252206\n",
       " 1       14.834141\n",
       " 2       14.433780\n",
       " 3       13.953414\n",
       " 4       13.681740\n",
       "           ...    \n",
       " 8755    17.285334\n",
       " 8756    16.032162\n",
       " 8757    15.196033\n",
       " 8758    15.180713\n",
       " 8759    14.602980\n",
       " Name: 09179, Length: 8760, dtype: float64,\n",
       " 0       13.616035\n",
       " 1       13.242818\n",
       " 2       12.885405\n",
       " 3       12.456570\n",
       " 4       12.214040\n",
       "           ...    \n",
       " 8755    15.431060\n",
       " 8756    14.312321\n",
       " 8757    13.565887\n",
       " 8758    13.552211\n",
       " 8759    13.036454\n",
       " Name: 09180, Length: 8760, dtype: float64,\n",
       " 0       15.712932\n",
       " 1       15.282239\n",
       " 2       14.869784\n",
       " 3       14.374908\n",
       " 4       14.095028\n",
       "           ...    \n",
       " 8755    17.807476\n",
       " 8756    16.516449\n",
       " 8757    15.655062\n",
       " 8758    15.639280\n",
       " 8759    15.044095\n",
       " Name: 09181, Length: 8760, dtype: float64,\n",
       " 0       14.081660\n",
       " 1       13.695680\n",
       " 2       13.326044\n",
       " 3       12.882545\n",
       " 4       12.631721\n",
       "           ...    \n",
       " 8755    15.958753\n",
       " 8756    14.801757\n",
       " 8757    14.029797\n",
       " 8758    14.015653\n",
       " 8759    13.482259\n",
       " Name: 09182, Length: 8760, dtype: float64,\n",
       " 0       14.755066\n",
       " 1       14.350628\n",
       " 2       13.963316\n",
       " 3       13.498608\n",
       " 4       13.235789\n",
       "           ...    \n",
       " 8755    16.721925\n",
       " 8756    15.509600\n",
       " 8757    14.700724\n",
       " 8758    14.685903\n",
       " 8759    14.127002\n",
       " Name: 09183, Length: 8760, dtype: float64,\n",
       " 0       20.122819\n",
       " 1       19.571250\n",
       " 2       19.043038\n",
       " 3       18.409273\n",
       " 4       18.050843\n",
       "           ...    \n",
       " 8755    22.805202\n",
       " 8756    21.151844\n",
       " 8757    20.048707\n",
       " 8758    20.028495\n",
       " 8759    19.266270\n",
       " Name: 09184, Length: 8760, dtype: float64,\n",
       " 0       15.495179\n",
       " 1       15.070455\n",
       " 2       14.663716\n",
       " 3       14.175697\n",
       " 4       13.899696\n",
       "           ...    \n",
       " 8755    17.560696\n",
       " 8756    16.287560\n",
       " 8757    15.438111\n",
       " 8758    15.422547\n",
       " 8759    14.835611\n",
       " Name: 09185, Length: 8760, dtype: float64,\n",
       " 0       15.710190\n",
       " 1       15.279572\n",
       " 2       14.867188\n",
       " 3       14.372399\n",
       " 4       14.092567\n",
       "           ...    \n",
       " 8755    17.804367\n",
       " 8756    16.513566\n",
       " 8757    15.652330\n",
       " 8758    15.636550\n",
       " 8759    15.041469\n",
       " Name: 09186, Length: 8760, dtype: float64,\n",
       " 0       14.487399\n",
       " 1       14.090298\n",
       " 2       13.710012\n",
       " 3       13.253734\n",
       " 4       12.995683\n",
       "           ...    \n",
       " 8755    16.418578\n",
       " 8756    15.228245\n",
       " 8757    14.434043\n",
       " 8758    14.419491\n",
       " 8759    13.870728\n",
       " Name: 09187, Length: 8760, dtype: float64,\n",
       " 0       16.230330\n",
       " 1       15.785455\n",
       " 2       15.359418\n",
       " 3       14.848247\n",
       " 4       14.559150\n",
       "           ...    \n",
       " 8755    18.393842\n",
       " 8756    17.060304\n",
       " 8757    16.170554\n",
       " 8758    16.154252\n",
       " 8759    15.539469\n",
       " Name: 09188, Length: 8760, dtype: float64,\n",
       " 0       15.228951\n",
       " 1       14.811524\n",
       " 2       14.411773\n",
       " 3       13.932140\n",
       " 4       13.660880\n",
       "           ...    \n",
       " 8755    17.258980\n",
       " 8756    16.007718\n",
       " 8757    15.172864\n",
       " 8758    15.157567\n",
       " 8759    14.580716\n",
       " Name: 09189, Length: 8760, dtype: float64,\n",
       " 0       16.797370\n",
       " 1       16.336953\n",
       " 2       15.896031\n",
       " 3       15.367001\n",
       " 4       15.067805\n",
       "           ...    \n",
       " 8755    19.036470\n",
       " 8756    17.656342\n",
       " 8757    16.735506\n",
       " 8758    16.718634\n",
       " 8759    16.082373\n",
       " Name: 09190, Length: 8760, dtype: float64,\n",
       " 0       18.727069\n",
       " 1       18.213758\n",
       " 2       17.722184\n",
       " 3       17.132378\n",
       " 4       16.798809\n",
       "           ...    \n",
       " 8755    21.223399\n",
       " 8756    19.684720\n",
       " 8757    18.658098\n",
       " 8758    18.639288\n",
       " 8759    17.929933\n",
       " Name: 09261, Length: 8760, dtype: float64,\n",
       " 0       20.235909\n",
       " 1       19.681240\n",
       " 2       19.150060\n",
       " 3       18.512733\n",
       " 4       18.152289\n",
       "           ...    \n",
       " 8755    22.933367\n",
       " 8756    21.270717\n",
       " 8757    20.161381\n",
       " 8758    20.141055\n",
       " 8759    19.374547\n",
       " Name: 09262, Length: 8760, dtype: float64,\n",
       " 0       16.940721\n",
       " 1       16.476374\n",
       " 2       16.031690\n",
       " 3       15.498145\n",
       " 4       15.196395\n",
       "           ...    \n",
       " 8755    19.198930\n",
       " 8756    17.807023\n",
       " 8757    16.878329\n",
       " 8758    16.861313\n",
       " 8759    16.219622\n",
       " Name: 09263, Length: 8760, dtype: float64,\n",
       " 0       15.464276\n",
       " 1       15.040399\n",
       " 2       14.634470\n",
       " 3       14.147426\n",
       " 4       13.871974\n",
       "           ...    \n",
       " 8755    17.525673\n",
       " 8756    16.255076\n",
       " 8757    15.407322\n",
       " 8758    15.391789\n",
       " 8759    14.806023\n",
       " Name: 09271, Length: 8760, dtype: float64,\n",
       " 0       14.238226\n",
       " 1       13.847954\n",
       " 2       13.474209\n",
       " 3       13.025779\n",
       " 4       12.772166\n",
       "           ...    \n",
       " 8755    16.136190\n",
       " 8756    14.966329\n",
       " 8757    14.185787\n",
       " 8758    14.171485\n",
       " 8759    13.632161\n",
       " Name: 09272, Length: 8760, dtype: float64,\n",
       " 0       14.815682\n",
       " 1       14.409582\n",
       " 2       14.020679\n",
       " 3       13.554062\n",
       " 4       13.290164\n",
       "           ...    \n",
       " 8755    16.790621\n",
       " 8756    15.573315\n",
       " 8757    14.761116\n",
       " 8758    14.746235\n",
       " 8759    14.185037\n",
       " Name: 09273, Length: 8760, dtype: float64,\n",
       " 0       14.318574\n",
       " 1       13.926100\n",
       " 2       13.550246\n",
       " 3       13.099285\n",
       " 4       12.844241\n",
       "           ...    \n",
       " 8755    16.227248\n",
       " 8756    15.050786\n",
       " 8757    14.265839\n",
       " 8758    14.251457\n",
       " 8759    13.709089\n",
       " Name: 09274, Length: 8760, dtype: float64,\n",
       " 0       13.775254\n",
       " 1       13.397673\n",
       " 2       13.036080\n",
       " 3       12.602231\n",
       " 4       12.356865\n",
       "           ...    \n",
       " 8755    15.611503\n",
       " 8756    14.479682\n",
       " 8757    13.724520\n",
       " 8758    13.710684\n",
       " 8759    13.188896\n",
       " Name: 09275, Length: 8760, dtype: float64,\n",
       " 0       14.944636\n",
       " 1       14.535002\n",
       " 2       14.142714\n",
       " 3       13.672036\n",
       " 4       13.405840\n",
       "           ...    \n",
       " 8755    16.936765\n",
       " 8756    15.708864\n",
       " 8757    14.889596\n",
       " 8758    14.874585\n",
       " 8759    14.308503\n",
       " Name: 09276, Length: 8760, dtype: float64,\n",
       " 0       13.660026\n",
       " 1       13.285604\n",
       " 2       12.927036\n",
       " 3       12.496816\n",
       " 4       12.253502\n",
       "           ...    \n",
       " 8755    15.480916\n",
       " 8756    14.358563\n",
       " 8757    13.609717\n",
       " 8758    13.595996\n",
       " 8759    13.078574\n",
       " Name: 09277, Length: 8760, dtype: float64,\n",
       " 0       13.738075\n",
       " 1       13.361513\n",
       " 2       13.000897\n",
       " 3       12.568218\n",
       " 4       12.323514\n",
       "           ...    \n",
       " 8755    15.569369\n",
       " 8756    14.440603\n",
       " 8757    13.687478\n",
       " 8758    13.673679\n",
       " 8759    13.153300\n",
       " Name: 09278, Length: 8760, dtype: float64,\n",
       " 0       17.017913\n",
       " 1       16.551450\n",
       " 2       16.104740\n",
       " 3       15.568764\n",
       " 4       15.265639\n",
       "           ...    \n",
       " 8755    19.286411\n",
       " 8756    17.888162\n",
       " 8757    16.955237\n",
       " 8758    16.938143\n",
       " 8759    16.293528\n",
       " Name: 09279, Length: 8760, dtype: float64,\n",
       " 0       18.479296\n",
       " 1       17.972777\n",
       " 2       17.487706\n",
       " 3       16.905704\n",
       " 4       16.576549\n",
       "           ...    \n",
       " 8755    20.942598\n",
       " 8756    19.424277\n",
       " 8757    18.411238\n",
       " 8758    18.392677\n",
       " 8759    17.692706\n",
       " Name: 09361, Length: 8760, dtype: float64,\n",
       " 0       22.398514\n",
       " 1       21.784569\n",
       " 2       21.196621\n",
       " 3       20.491184\n",
       " 4       20.092219\n",
       "           ...    \n",
       " 8755    25.384250\n",
       " 8756    23.543913\n",
       " 8757    22.316022\n",
       " 8758    22.293524\n",
       " 8759    21.445099\n",
       " Name: 09362, Length: 8760, dtype: float64,\n",
       " 0       18.572425\n",
       " 1       18.063353\n",
       " 2       17.575838\n",
       " 3       16.990902\n",
       " 4       16.660088\n",
       "           ...    \n",
       " 8755    21.048140\n",
       " 8756    19.522168\n",
       " 8757    18.504024\n",
       " 8758    18.485369\n",
       " 8759    17.781871\n",
       " Name: 09363, Length: 8760, dtype: float64,\n",
       " 0       14.269369\n",
       " 1       13.878244\n",
       " 2       13.503682\n",
       " 3       13.054270\n",
       " 4       12.800103\n",
       "           ...    \n",
       " 8755    16.171484\n",
       " 8756    14.999065\n",
       " 8757    14.216816\n",
       " 8758    14.202483\n",
       " 8759    13.661979\n",
       " Name: 09371, Length: 8760, dtype: float64,\n",
       " 0       15.068790\n",
       " 1       14.655753\n",
       " 2       14.260206\n",
       " 3       13.785617\n",
       " 4       13.517211\n",
       "           ...    \n",
       " 8755    17.077469\n",
       " 8756    15.839367\n",
       " 8757    15.013293\n",
       " 8758    14.998157\n",
       " 8759    14.427372\n",
       " Name: 09372, Length: 8760, dtype: float64,\n",
       " 0       15.373475\n",
       " 1       14.952086\n",
       " 2       14.548541\n",
       " 3       14.064356\n",
       " 4       13.790523\n",
       "           ...    \n",
       " 8755    17.422768\n",
       " 8756    16.159632\n",
       " 8757    15.316855\n",
       " 8758    15.301413\n",
       " 8759    14.719087\n",
       " Name: 09373, Length: 8760, dtype: float64,\n",
       " 0       13.398240\n",
       " 1       13.030993\n",
       " 2       12.679297\n",
       " 3       12.257322\n",
       " 4       12.018671\n",
       "           ...    \n",
       " 8755    15.184234\n",
       " 8756    14.083389\n",
       " 8757    13.348895\n",
       " 8758    13.335437\n",
       " 8759    12.827930\n",
       " Name: 09374, Length: 8760, dtype: float64,\n",
       " 0       14.574015\n",
       " 1       14.174540\n",
       " 2       13.791980\n",
       " 3       13.332974\n",
       " 4       13.073380\n",
       "           ...    \n",
       " 8755    16.516740\n",
       " 8756    15.319290\n",
       " 8757    14.520339\n",
       " 8758    14.505701\n",
       " 8759    13.953657\n",
       " Name: 09375, Length: 8760, dtype: float64,\n",
       " 0       14.984930\n",
       " 1       14.574191\n",
       " 2       14.180845\n",
       " 3       13.708898\n",
       " 4       13.441984\n",
       "           ...    \n",
       " 8755    16.982430\n",
       " 8756    15.751218\n",
       " 8757    14.929741\n",
       " 8758    14.914689\n",
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       " 2       13.393542\n",
       " 3       12.947796\n",
       " 4       12.695702\n",
       "           ...    \n",
       " 8755    16.039585\n",
       " 8756    14.876729\n",
       " 8757    14.100859\n",
       " 8758    14.086644\n",
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       " 4       18.848234\n",
       "           ...    \n",
       " 8755    23.812616\n",
       " 8756    22.086221\n",
       " 8757    20.934353\n",
       " 8758    20.913248\n",
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       " 2       17.699262\n",
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       " 4       16.777082\n",
       "           ...    \n",
       " 8755    21.195948\n",
       " 8756    19.659260\n",
       " 8757    18.633966\n",
       " 8758    18.615180\n",
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       " Name: 09462, Length: 8760, dtype: float64,\n",
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       " 1       18.690856\n",
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       " 3       17.581149\n",
       " 4       17.238843\n",
       "           ...    \n",
       " 8755    21.779332\n",
       " 8756    20.200348\n",
       " 8757    19.146835\n",
       " 8758    19.127532\n",
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       " 1       14.828932\n",
       " 2       14.428711\n",
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       " 4       13.676936\n",
       "           ...    \n",
       " 8755    17.279264\n",
       " 8756    16.026531\n",
       " 8757    15.190696\n",
       " 8758    15.175381\n",
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       " 4       12.620189\n",
       "           ...    \n",
       " 8755    15.944184\n",
       " 8756    14.788244\n",
       " 8757    14.016989\n",
       " 8758    14.002858\n",
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       " 4       11.818852\n",
       "           ...    \n",
       " 8755    14.931785\n",
       " 8756    13.849243\n",
       " 8757    13.126960\n",
       " 8758    13.113726\n",
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       " 4       11.727758\n",
       "           ...    \n",
       " 8755    14.816697\n",
       " 8756    13.742499\n",
       " 8757    13.025784\n",
       " 8758    13.012652\n",
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       " 2       14.557430\n",
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       " 4       13.798948\n",
       "           ...    \n",
       " 8755    17.433413\n",
       " 8756    16.169505\n",
       " 8757    15.326213\n",
       " 8758    15.310762\n",
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       " 4       11.774379\n",
       "           ...    \n",
       " 8755    14.875599\n",
       " 8756    13.797130\n",
       " 8757    13.077565\n",
       " 8758    13.064381\n",
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       " 4       11.780816\n",
       "           ...    \n",
       " 8755    14.883731\n",
       " 8756    13.804673\n",
       " 8757    13.084715\n",
       " 8758    13.071523\n",
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       " 1       13.742894\n",
       " 2       13.371984\n",
       " 3       12.926956\n",
       " 4       12.675267\n",
       "           ...    \n",
       " 8755    16.013769\n",
       " 8756    14.852784\n",
       " 8757    14.078164\n",
       " 8758    14.063971\n",
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       " 1       12.995365\n",
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       " 4       11.985810\n",
       "           ...    \n",
       " 8755    15.142718\n",
       " 8756    14.044884\n",
       " 8757    13.312398\n",
       " 8758    13.298977\n",
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       " 1       13.260584\n",
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       " 4       12.230426\n",
       "           ...    \n",
       " 8755    15.451762\n",
       " 8756    14.331523\n",
       " 8757    13.584087\n",
       " 8758    13.570393\n",
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       " 1       17.353016\n",
       " 2       16.884672\n",
       " 3       16.322739\n",
       " 4       16.004934\n",
       "           ...    \n",
       " 8755    20.220427\n",
       " 8756    18.754463\n",
       " 8757    17.776357\n",
       " 8758    17.758436\n",
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       " 1       24.456884\n",
       " 2       23.796812\n",
       " 3       23.004839\n",
       " 4       22.556933\n",
       "           ...    \n",
       " 8755    28.498138\n",
       " 8756    26.432047\n",
       " 8757    25.053530\n",
       " 8758    25.028272\n",
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       " 1       14.490737\n",
       " 2       14.099644\n",
       " 3       13.630398\n",
       " 4       13.365013\n",
       "           ...    \n",
       " 8755    16.885185\n",
       " 8756    15.661024\n",
       " 8757    14.844251\n",
       " 8758    14.829285\n",
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       " Name: 09563, Length: 8760, dtype: float64,\n",
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       " 1       17.170312\n",
       " 2       16.706899\n",
       " 3       16.150882\n",
       " 4       15.836424\n",
       "           ...    \n",
       " 8755    20.007533\n",
       " 8756    18.557004\n",
       " 8757    17.589196\n",
       " 8758    17.571463\n",
       " 8759    16.902746\n",
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       " 1       14.763149\n",
       " 2       14.364704\n",
       " 3       13.886637\n",
       " 4       13.616264\n",
       "           ...    \n",
       " 8755    17.202611\n",
       " 8756    15.955437\n",
       " 8757    15.123309\n",
       " 8758    15.108062\n",
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       " 0       13.846988\n",
       " 1       13.467441\n",
       " 2       13.103966\n",
       " 3       12.667857\n",
       " 4       12.421213\n",
       "           ...    \n",
       " 8755    15.692800\n",
       " 8756    14.555085\n",
       " 8757    13.795991\n",
       " 8758    13.782082\n",
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       " 1       17.022878\n",
       " 2       16.563445\n",
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       " 4       15.700444\n",
       "           ...    \n",
       " 8755    19.835738\n",
       " 8756    18.397664\n",
       " 8757    17.438166\n",
       " 8758    17.420586\n",
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       " 2       13.432551\n",
       " 3       12.985507\n",
       " 4       12.732678\n",
       "           ...    \n",
       " 8755    16.086301\n",
       " 8756    14.920058\n",
       " 8757    14.141929\n",
       " 8758    14.127671\n",
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       " 1       15.133959\n",
       " 2       14.725506\n",
       " 3       14.235432\n",
       " 4       13.958267\n",
       "           ...    \n",
       " 8755    17.634694\n",
       " 8756    16.356193\n",
       " 8757    15.503165\n",
       " 8758    15.487535\n",
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       " 1       13.795791\n",
       " 2       13.423454\n",
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       " 4       12.724055\n",
       "           ...    \n",
       " 8755    16.075406\n",
       " 8756    14.909953\n",
       " 8757    14.132351\n",
       " 8758    14.118103\n",
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       " 1       14.371474\n",
       " 2       13.983599\n",
       " 3       13.518216\n",
       " 4       13.255015\n",
       "           ...    \n",
       " 8755    16.746215\n",
       " 8756    15.532129\n",
       " 8757    14.722078\n",
       " 8758    14.707236\n",
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       " 1       14.359425\n",
       " 2       13.971875\n",
       " 3       13.506882\n",
       " 4       13.243902\n",
       "           ...    \n",
       " 8755    16.732175\n",
       " 8756    15.519106\n",
       " 8757    14.709735\n",
       " 8758    14.694905\n",
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       " 0       19.062093\n",
       " 1       18.539599\n",
       " 2       18.039231\n",
       " 3       17.438873\n",
       " 4       17.099337\n",
       "           ...    \n",
       " 8755    21.603082\n",
       " 8756    20.036876\n",
       " 8757    18.991888\n",
       " 8758    18.972742\n",
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       " Name: 09661, Length: 8760, dtype: float64,\n",
       " 0       22.065029\n",
       " 1       21.460225\n",
       " 2       20.881030\n",
       " 3       20.186096\n",
       " 4       19.793072\n",
       "           ...    \n",
       " 8755    25.006311\n",
       " 8756    23.193374\n",
       " 8757    21.983765\n",
       " 8758    21.961602\n",
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       " Name: 09662, Length: 8760, dtype: float64,\n",
       " 0       20.969131\n",
       " 1       20.394365\n",
       " 2       19.843938\n",
       " 3       19.183519\n",
       " 4       18.810014\n",
       "           ...    \n",
       " 8755    23.764329\n",
       " 8756    22.041435\n",
       " 8757    20.891903\n",
       " 8758    20.870841\n",
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       " Name: 09663, Length: 8760, dtype: float64,\n",
       " 0       15.180300\n",
       " 1       14.764207\n",
       " 2       14.365733\n",
       " 3       13.887632\n",
       " 4       13.617239\n",
       "           ...    \n",
       " 8755    17.203844\n",
       " 8756    15.956579\n",
       " 8757    15.124392\n",
       " 8758    15.109144\n",
       " 8759    14.534136\n",
       " Name: 09671, Length: 8760, dtype: float64,\n",
       " 0       15.459481\n",
       " 1       15.035735\n",
       " 2       14.629933\n",
       " 3       14.143039\n",
       " 4       13.867673\n",
       "           ...    \n",
       " 8755    17.520239\n",
       " 8756    16.250037\n",
       " 8757    15.402545\n",
       " 8758    15.387017\n",
       " 8759    14.801433\n",
       " Name: 09672, Length: 8760, dtype: float64,\n",
       " 0       15.691709\n",
       " 1       15.261597\n",
       " 2       14.849699\n",
       " 3       14.355492\n",
       " 4       14.075989\n",
       "           ...    \n",
       " 8755    17.783423\n",
       " 8756    16.494140\n",
       " 8757    15.633917\n",
       " 8758    15.618156\n",
       " 8759    15.023775\n",
       " Name: 09673, Length: 8760, dtype: float64,\n",
       " 0       16.311822\n",
       " 1       15.864713\n",
       " 2       15.436537\n",
       " 3       14.922799\n",
       " 4       14.632252\n",
       "           ...    \n",
       " 8755    18.486198\n",
       " 8756    17.145964\n",
       " 8757    16.251746\n",
       " 8758    16.235362\n",
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       " Name: 09674, Length: 8760, dtype: float64,\n",
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       " 1       14.139378\n",
       " 2       13.757768\n",
       " 3       13.299900\n",
       " 4       13.040950\n",
       "           ...    \n",
       " 8755    16.475768\n",
       " 8756    15.281289\n",
       " 8757    14.484320\n",
       " 8758    14.469718\n",
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       " Name: 09675, Length: 8760, dtype: float64,\n",
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       " 2       14.314075\n",
       " 3       13.837693\n",
       " 4       13.568272\n",
       "           ...    \n",
       " 8755    17.141980\n",
       " 8756    15.899201\n",
       " 8757    15.070006\n",
       " 8758    15.054813\n",
       " 8759    14.481872\n",
       " Name: 09676, Length: 8760, dtype: float64,\n",
       " 0       16.442783\n",
       " 1       15.992085\n",
       " 2       15.560471\n",
       " 3       15.042609\n",
       " 4       14.749728\n",
       "           ...    \n",
       " 8755    18.634616\n",
       " 8756    17.283622\n",
       " 8757    16.382225\n",
       " 8758    16.365709\n",
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       " Name: 09677, Length: 8760, dtype: float64,\n",
       " 0       14.658411\n",
       " 1       14.256623\n",
       " 2       13.871848\n",
       " 3       13.410184\n",
       " 4       13.149087\n",
       "           ...    \n",
       " 8755    16.612386\n",
       " 8756    15.408002\n",
       " 8757    14.604425\n",
       " 8758    14.589702\n",
       " 8759    14.034461\n",
       " Name: 09678, Length: 8760, dtype: float64,\n",
       " 0       14.170139\n",
       " 1       13.781734\n",
       " 2       13.409776\n",
       " 3       12.963490\n",
       " 4       12.711090\n",
       "           ...    \n",
       " 8755    16.059027\n",
       " 8756    14.894761\n",
       " 8757    14.117951\n",
       " 8758    14.103718\n",
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       " Name: 09679, Length: 8760, dtype: float64,\n",
       " 0       17.247253\n",
       " 1       16.774504\n",
       " 2       16.321773\n",
       " 3       15.778574\n",
       " 4       15.471364\n",
       "           ...    \n",
       " 8755    19.546322\n",
       " 8756    18.129230\n",
       " 8757    17.183732\n",
       " 8758    17.166408\n",
       " 8759    16.513106\n",
       " Name: 09761, Length: 8760, dtype: float64,\n",
       " 0       15.697367\n",
       " 1       15.267101\n",
       " 2       14.855054\n",
       " 3       14.360668\n",
       " 4       14.081065\n",
       "           ...    \n",
       " 8755    17.789836\n",
       " 8756    16.500088\n",
       " 8757    15.639555\n",
       " 8758    15.623788\n",
       " 8759    15.029193\n",
       " Name: 09762, Length: 8760, dtype: float64,\n",
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       " 1       17.052273\n",
       " 2       16.592046\n",
       " 3       16.039852\n",
       " 4       15.727555\n",
       "           ...    \n",
       " 8755    19.869989\n",
       " 8756    18.429432\n",
       " 8757    17.468277\n",
       " 8758    17.450667\n",
       " 8759    16.786546\n",
       " Name: 09763, Length: 8760, dtype: float64,\n",
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       " 1       17.576488\n",
       " 2       17.102113\n",
       " 3       16.532943\n",
       " 4       16.211046\n",
       "           ...    \n",
       " 8755    20.480826\n",
       " 8756    18.995983\n",
       " 8757    18.005281\n",
       " 8758    17.987129\n",
       " 8759    17.302593\n",
       " Name: 09764, Length: 8760, dtype: float64,\n",
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       " 1       14.860445\n",
       " 2       14.459374\n",
       " 3       13.978157\n",
       " 4       13.706001\n",
       "           ...    \n",
       " 8755    17.315985\n",
       " 8756    16.060590\n",
       " 8757    15.222978\n",
       " 8758    15.207631\n",
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       " Name: 09771, Length: 8760, dtype: float64,\n",
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       " 1       14.687818\n",
       " 2       14.291406\n",
       " 3       13.815778\n",
       " 4       13.546784\n",
       "           ...    \n",
       " 8755    17.114832\n",
       " 8756    15.874021\n",
       " 8757    15.046140\n",
       " 8758    15.030971\n",
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       " Name: 09772, Length: 8760, dtype: float64,\n",
       " 0       15.497225\n",
       " 1       15.072445\n",
       " 2       14.665652\n",
       " 3       14.177569\n",
       " 4       13.901531\n",
       "           ...    \n",
       " 8755    17.563015\n",
       " 8756    16.289711\n",
       " 8757    15.440150\n",
       " 8758    15.424584\n",
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       " Name: 09773, Length: 8760, dtype: float64,\n",
       " 0       15.429967\n",
       " 1       15.007030\n",
       " 2       14.602003\n",
       " 3       14.116038\n",
       " 4       13.841198\n",
       "           ...    \n",
       " 8755    17.486791\n",
       " 8756    16.219013\n",
       " 8757    15.373139\n",
       " 8758    15.357641\n",
       " 8759    14.773175\n",
       " Name: 09774, Length: 8760, dtype: float64,\n",
       " 0       16.078472\n",
       " 1       15.637759\n",
       " 2       15.215709\n",
       " 3       14.709320\n",
       " 4       14.422929\n",
       "           ...    \n",
       " 8755    18.221742\n",
       " 8756    16.900681\n",
       " 8757    16.019256\n",
       " 8758    16.003106\n",
       " 8759    15.394075\n",
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       "           ...    \n",
       " 8755    17.278567\n",
       " 8756    16.025885\n",
       " 8757    15.190083\n",
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       " 4       13.254901\n",
       "           ...    \n",
       " 8755    16.746071\n",
       " 8756    15.531995\n",
       " 8757    14.721951\n",
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       " 4       13.443218\n",
       "           ...    \n",
       " 8755    16.983987\n",
       " 8756    15.752662\n",
       " 8757    14.931110\n",
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       " 4       14.939089\n",
       "           ...    \n",
       " 8755    18.873852\n",
       " 8756    17.505514\n",
       " 8757    16.592545\n",
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       " 4       12.847671\n",
       "           ...    \n",
       " 8755    16.231581\n",
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       " 8757    14.269649\n",
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       " 4       15.689533\n",
       "           ...    \n",
       " 8755    19.821953\n",
       " 8756    18.384878\n",
       " 8757    17.426047\n",
       " 8758    17.408479\n",
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       " 4       13.447413\n",
       "           ...    \n",
       " 8755    16.989287\n",
       " 8756    15.757578\n",
       " 8757    14.935770\n",
       " 8758    14.920712\n",
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       " 4       13.775843\n",
       "           ...    \n",
       " 8755    17.404222\n",
       " 8756    16.142430\n",
       " 8757    15.300551\n",
       " 8758    15.285125\n",
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       " 4       14.861537\n",
       "           ...    \n",
       " 8755    18.775873\n",
       " 8756    17.414638\n",
       " 8757    16.506409\n",
       " 8758    16.489768\n",
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       " 0       17.612361\n",
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       " 4       15.798879\n",
       "           ...    \n",
       " 8755    19.960100\n",
       " 8756    18.513009\n",
       " 8757    17.547496\n",
       " 8758    17.529805\n",
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       " 3       14.691967\n",
       " 4       14.405913\n",
       "           ...    \n",
       " 8755    18.200244\n",
       " 8756    16.880742\n",
       " 8757    16.000357\n",
       " 8758    15.984226\n",
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       " 0       14.284291\n",
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       " 4       12.813488\n",
       "           ...    \n",
       " 8755    16.188395\n",
       " 8756    15.014750\n",
       " 8757    14.231682\n",
       " 8758    14.217335\n",
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       " 0       12.567058\n",
       " 1       12.222594\n",
       " 2       11.892716\n",
       " 3       11.496918\n",
       " 4       11.273073\n",
       "           ...    \n",
       " 8755    14.242254\n",
       " 8756    13.209703\n",
       " 8757    12.520774\n",
       " 8758    12.508151\n",
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       " 1       13.443829\n",
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       " 4       12.399436\n",
       "           ...    \n",
       " 8755    15.665287\n",
       " 8756    14.529567\n",
       " 8757    13.771803\n",
       " 8758    13.757919\n",
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       " 0       13.299358\n",
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       " 2       12.585720\n",
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       " 4       11.929970\n",
       "           ...    \n",
       " 8755    15.072170\n",
       " 8756    13.979450\n",
       " 8757    13.250377\n",
       " 8758    13.237018\n",
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       " 0       14.407553\n",
       " 1       14.012641\n",
       " 2       13.634451\n",
       " 3       13.180687\n",
       " 4       12.924059\n",
       "           ...    \n",
       " 8755    16.328089\n",
       " 8756    15.144316\n",
       " 8757    14.354491\n",
       " 8758    14.340019\n",
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       " 0       11.161722\n",
       " 1       10.855778\n",
       " 2       10.562789\n",
       " 3       10.211253\n",
       " 4       10.012439\n",
       "           ...    \n",
       " 8755    12.649586\n",
       " 8756    11.732502\n",
       " 8757    11.120614\n",
       " 8758    11.109403\n",
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       " 0       11.550062\n",
       " 1       11.233474\n",
       " 2       10.930291\n",
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       " 4       10.360793\n",
       "           ...    \n",
       " 8755    13.089692\n",
       " 8756    12.140700\n",
       " 8757    11.507524\n",
       " 8758    11.495922\n",
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       " 0        9.742556\n",
       " 1        9.475511\n",
       " 2        9.219775\n",
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       " 4        8.739399\n",
       "           ...    \n",
       " 8755    11.041244\n",
       " 8756    10.240763\n",
       " 8757     9.706674\n",
       " 8758     9.696888\n",
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       " 0       10.575778\n",
       " 1       10.285895\n",
       " 2       10.008287\n",
       " 3        9.675204\n",
       " 4        9.486827\n",
       "           ...    \n",
       " 8755    11.985535\n",
       " 8756    11.116594\n",
       " 8757    10.536828\n",
       " 8758    10.526205\n",
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       " 0       10.803267\n",
       " 1       10.507149\n",
       " 2       10.223569\n",
       " 3        9.883322\n",
       " 4        9.690893\n",
       "           ...    \n",
       " 8755    12.243349\n",
       " 8756    11.355717\n",
       " 8757    10.763479\n",
       " 8758    10.752628\n",
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       " 0       11.360101\n",
       " 1       11.048720\n",
       " 2       10.750524\n",
       " 3       10.392739\n",
       " 4       10.190392\n",
       "           ...    \n",
       " 8755    12.874410\n",
       " 8756    11.941026\n",
       " 8757    11.318263\n",
       " 8758    11.306852\n",
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       " 1       10.569165\n",
       " 2       10.283912\n",
       " 3        9.941657\n",
       " 4        9.748092\n",
       "           ...    \n",
       " 8755    12.315614\n",
       " 8756    11.422742\n",
       " 8757    10.827009\n",
       " 8758    10.816094\n",
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       " 1       10.990748\n",
       " 2       10.694116\n",
       " 3       10.338209\n",
       " 4       10.136924\n",
       "           ...    \n",
       " 8755    12.806858\n",
       " 8756    11.878372\n",
       " 8757    11.258876\n",
       " 8758    11.247526\n",
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       " 1        9.897151\n",
       " 2        9.630035\n",
       " 3        9.309541\n",
       " 4        9.128283\n",
       "           ...    \n",
       " 8755    11.532555\n",
       " 8756    10.696455\n",
       " 8757    10.138600\n",
       " 8758    10.128379\n",
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       " 0       11.917759\n",
       " 1       11.591092\n",
       " 2       11.278258\n",
       " 3       10.902910\n",
       " 4       10.690630\n",
       "           ...    \n",
       " 8755    13.506403\n",
       " 8756    12.527200\n",
       " 8757    11.873866\n",
       " 8758    11.861896\n",
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       " 0        9.667841\n",
       " 1        9.402845\n",
       " 2        9.149069\n",
       " 3        8.844582\n",
       " 4        8.672378\n",
       "           ...    \n",
       " 8755    10.956570\n",
       " 8756    10.162228\n",
       " 8757     9.632235\n",
       " 8758     9.622524\n",
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       " 4        9.418573\n",
       "           ...    \n",
       " 8755    11.899303\n",
       " 8756    11.036613\n",
       " 8757    10.461018\n",
       " 8758    10.450472\n",
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       " 4        9.945450\n",
       "           ...    \n",
       " 8755    12.564953\n",
       " 8756    11.654004\n",
       " 8757    11.046210\n",
       " 8758    11.035074\n",
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       " 4        9.344871\n",
       "           ...    \n",
       " 8755    11.806190\n",
       " 8756    10.950251\n",
       " 8757    10.379160\n",
       " 8758    10.368696\n",
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       " 4       11.175800\n",
       "           ...    \n",
       " 8755    14.119362\n",
       " 8756    13.095720\n",
       " 8757    12.412736\n",
       " 8758    12.400222\n",
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       " 4       12.286762\n",
       "           ...    \n",
       " 8755    15.522936\n",
       " 8756    14.397536\n",
       " 8757    13.646658\n",
       " 8758    13.632900\n",
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       " 4        9.361315\n",
       "           ...    \n",
       " 8755    11.826964\n",
       " 8756    10.969519\n",
       " 8757    10.397424\n",
       " 8758    10.386941\n",
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       " 3        9.655704\n",
       " 4        9.467706\n",
       "           ...    \n",
       " 8755    11.961378\n",
       " 8756    11.094188\n",
       " 8757    10.515590\n",
       " 8758    10.504989\n",
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       " 4        8.714162\n",
       "           ...    \n",
       " 8755    11.009360\n",
       " 8756    10.211191\n",
       " 8757     9.678644\n",
       " 8758     9.668886\n",
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       " 4        9.743131\n",
       "           ...    \n",
       " 8755    12.309346\n",
       " 8756    11.416929\n",
       " 8757    10.821499\n",
       " 8758    10.810589\n",
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       " 4        9.163717\n",
       "           ...    \n",
       " 8755    11.577321\n",
       " 8756    10.737975\n",
       " 8757    10.177955\n",
       " 8758    10.167694\n",
       " 8759     9.780742\n",
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       " 4        9.246192\n",
       "           ...    \n",
       " 8755    11.681520\n",
       " 8756    10.834620\n",
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       " 8758    10.259206\n",
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       " 3       11.895055\n",
       " 4       11.663458\n",
       "           ...    \n",
       " 8755    14.735462\n",
       " 8756    13.667153\n",
       " 8757    12.954367\n",
       " 8758    12.941307\n",
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       " 4        9.182566\n",
       "           ...    \n",
       " 8755    11.601135\n",
       " 8756    10.760062\n",
       " 8757    10.198890\n",
       " 8758    10.188608\n",
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       " 4        9.177330\n",
       "           ...    \n",
       " 8755    11.594520\n",
       " 8756    10.753927\n",
       " 8757    10.193075\n",
       " 8758    10.182799\n",
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       " 4        9.325026\n",
       "           ...    \n",
       " 8755    11.781118\n",
       " 8756    10.926996\n",
       " 8757    10.357118\n",
       " 8758    10.346677\n",
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       " 4       10.191859\n",
       "           ...    \n",
       " 8755    12.876263\n",
       " 8756    11.942745\n",
       " 8757    11.319892\n",
       " 8758    11.308480\n",
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       " 4       12.699379\n",
       "           ...    \n",
       " 8755    16.044232\n",
       " 8756    14.881039\n",
       " 8757    14.104944\n",
       " 8758    14.090724\n",
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       " 3        9.957860\n",
       " 4        9.763980\n",
       "           ...    \n",
       " 8755    12.335686\n",
       " 8756    11.441359\n",
       " 8757    10.844655\n",
       " 8758    10.833722\n",
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       " 4        9.128226\n",
       "           ...    \n",
       " 8755    11.532482\n",
       " 8756    10.696387\n",
       " 8757    10.138536\n",
       " 8758    10.128315\n",
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       " Name: 14626, Length: 8760, dtype: float64,\n",
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       " 3        9.894945\n",
       " 4        9.702290\n",
       "           ...    \n",
       " 8755    12.257748\n",
       " 8756    11.369071\n",
       " 8757    10.776138\n",
       " 8758    10.765274\n",
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       " Name: 14627, Length: 8760, dtype: float64,\n",
       " 0       10.291459\n",
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     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hourly_volls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "hourly_voll_df = pd.DataFrame(hourly_volls)\n",
    "hourly_voll_df = hourly_voll_df.T.set_index(id)\n",
    "#hourly_voll_df.to_csv(r\"Data\\st_voll.csv\", sep=';', decimal=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>25.03.2017 23:00</th>\n",
       "      <td>14.978014</td>\n",
       "      <td>17.017546</td>\n",
       "      <td>15.133914</td>\n",
       "      <td>14.794931</td>\n",
       "      <td>13.571036</td>\n",
       "      <td>13.503021</td>\n",
       "      <td>12.770455</td>\n",
       "      <td>13.251520</td>\n",
       "      <td>14.217072</td>\n",
       "      <td>13.848269</td>\n",
       "      <td>...</td>\n",
       "      <td>10.234530</td>\n",
       "      <td>10.294055</td>\n",
       "      <td>10.659499</td>\n",
       "      <td>10.646079</td>\n",
       "      <td>11.037737</td>\n",
       "      <td>10.766148</td>\n",
       "      <td>10.365208</td>\n",
       "      <td>10.169147</td>\n",
       "      <td>9.682926</td>\n",
       "      <td>9.844741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.03.2017 00:00</th>\n",
       "      <td>13.943717</td>\n",
       "      <td>15.842410</td>\n",
       "      <td>14.088852</td>\n",
       "      <td>13.773277</td>\n",
       "      <td>12.633897</td>\n",
       "      <td>12.570579</td>\n",
       "      <td>11.888599</td>\n",
       "      <td>12.336445</td>\n",
       "      <td>13.235322</td>\n",
       "      <td>12.891986</td>\n",
       "      <td>...</td>\n",
       "      <td>9.527791</td>\n",
       "      <td>9.583206</td>\n",
       "      <td>9.923414</td>\n",
       "      <td>9.910921</td>\n",
       "      <td>10.275534</td>\n",
       "      <td>10.022699</td>\n",
       "      <td>9.649446</td>\n",
       "      <td>9.466923</td>\n",
       "      <td>9.014278</td>\n",
       "      <td>9.164919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.03.2017 01:00</th>\n",
       "      <td>12.540266</td>\n",
       "      <td>14.247854</td>\n",
       "      <td>12.670793</td>\n",
       "      <td>12.386981</td>\n",
       "      <td>11.362281</td>\n",
       "      <td>11.305336</td>\n",
       "      <td>10.691998</td>\n",
       "      <td>11.094768</td>\n",
       "      <td>11.903172</td>\n",
       "      <td>11.594393</td>\n",
       "      <td>...</td>\n",
       "      <td>8.568808</td>\n",
       "      <td>8.618646</td>\n",
       "      <td>8.924611</td>\n",
       "      <td>8.913376</td>\n",
       "      <td>9.241290</td>\n",
       "      <td>9.013903</td>\n",
       "      <td>8.678218</td>\n",
       "      <td>8.514067</td>\n",
       "      <td>8.106980</td>\n",
       "      <td>8.242460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.03.2017 03:00</th>\n",
       "      <td>13.044112</td>\n",
       "      <td>14.820307</td>\n",
       "      <td>13.179883</td>\n",
       "      <td>12.884668</td>\n",
       "      <td>11.818797</td>\n",
       "      <td>11.759565</td>\n",
       "      <td>11.121584</td>\n",
       "      <td>11.540536</td>\n",
       "      <td>12.381420</td>\n",
       "      <td>12.060235</td>\n",
       "      <td>...</td>\n",
       "      <td>8.913088</td>\n",
       "      <td>8.964927</td>\n",
       "      <td>9.283186</td>\n",
       "      <td>9.271499</td>\n",
       "      <td>9.612588</td>\n",
       "      <td>9.376066</td>\n",
       "      <td>9.026893</td>\n",
       "      <td>8.856147</td>\n",
       "      <td>8.432704</td>\n",
       "      <td>8.573627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.03.2017 04:00</th>\n",
       "      <td>13.125924</td>\n",
       "      <td>14.913260</td>\n",
       "      <td>13.262547</td>\n",
       "      <td>12.965481</td>\n",
       "      <td>11.892924</td>\n",
       "      <td>11.833320</td>\n",
       "      <td>11.191338</td>\n",
       "      <td>11.612918</td>\n",
       "      <td>12.459076</td>\n",
       "      <td>12.135877</td>\n",
       "      <td>...</td>\n",
       "      <td>8.968991</td>\n",
       "      <td>9.021155</td>\n",
       "      <td>9.341410</td>\n",
       "      <td>9.329650</td>\n",
       "      <td>9.672878</td>\n",
       "      <td>9.434872</td>\n",
       "      <td>9.083510</td>\n",
       "      <td>8.911692</td>\n",
       "      <td>8.485594</td>\n",
       "      <td>8.627401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.10.2017 00:00</th>\n",
       "      <td>14.912164</td>\n",
       "      <td>16.942730</td>\n",
       "      <td>15.067379</td>\n",
       "      <td>14.729887</td>\n",
       "      <td>13.511372</td>\n",
       "      <td>13.443657</td>\n",
       "      <td>12.714311</td>\n",
       "      <td>13.193261</td>\n",
       "      <td>14.154568</td>\n",
       "      <td>13.787387</td>\n",
       "      <td>...</td>\n",
       "      <td>10.189535</td>\n",
       "      <td>10.248799</td>\n",
       "      <td>10.612635</td>\n",
       "      <td>10.599275</td>\n",
       "      <td>10.989211</td>\n",
       "      <td>10.718816</td>\n",
       "      <td>10.319639</td>\n",
       "      <td>10.124439</td>\n",
       "      <td>9.640356</td>\n",
       "      <td>9.801460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.10.2017 01:00</th>\n",
       "      <td>14.059452</td>\n",
       "      <td>15.973905</td>\n",
       "      <td>14.205791</td>\n",
       "      <td>13.887597</td>\n",
       "      <td>12.738760</td>\n",
       "      <td>12.674917</td>\n",
       "      <td>11.987277</td>\n",
       "      <td>12.438839</td>\n",
       "      <td>13.345177</td>\n",
       "      <td>12.998991</td>\n",
       "      <td>...</td>\n",
       "      <td>9.606873</td>\n",
       "      <td>9.662748</td>\n",
       "      <td>10.005780</td>\n",
       "      <td>9.993183</td>\n",
       "      <td>10.360822</td>\n",
       "      <td>10.105889</td>\n",
       "      <td>9.729537</td>\n",
       "      <td>9.545500</td>\n",
       "      <td>9.089097</td>\n",
       "      <td>9.240989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.10.2017 02:00</th>\n",
       "      <td>13.610813</td>\n",
       "      <td>15.464176</td>\n",
       "      <td>13.752483</td>\n",
       "      <td>13.444443</td>\n",
       "      <td>12.332265</td>\n",
       "      <td>12.270459</td>\n",
       "      <td>11.604761</td>\n",
       "      <td>12.041914</td>\n",
       "      <td>12.919331</td>\n",
       "      <td>12.584192</td>\n",
       "      <td>...</td>\n",
       "      <td>9.300317</td>\n",
       "      <td>9.354409</td>\n",
       "      <td>9.686494</td>\n",
       "      <td>9.674299</td>\n",
       "      <td>10.030207</td>\n",
       "      <td>9.783409</td>\n",
       "      <td>9.419067</td>\n",
       "      <td>9.240902</td>\n",
       "      <td>8.799063</td>\n",
       "      <td>8.946108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.10.2017 02:00</th>\n",
       "      <td>13.307175</td>\n",
       "      <td>15.119192</td>\n",
       "      <td>13.445685</td>\n",
       "      <td>13.144516</td>\n",
       "      <td>12.057150</td>\n",
       "      <td>11.996723</td>\n",
       "      <td>11.345876</td>\n",
       "      <td>11.773277</td>\n",
       "      <td>12.631119</td>\n",
       "      <td>12.303457</td>\n",
       "      <td>...</td>\n",
       "      <td>9.092840</td>\n",
       "      <td>9.145725</td>\n",
       "      <td>9.470403</td>\n",
       "      <td>9.458480</td>\n",
       "      <td>9.806448</td>\n",
       "      <td>9.565155</td>\n",
       "      <td>9.208941</td>\n",
       "      <td>9.034751</td>\n",
       "      <td>8.602769</td>\n",
       "      <td>8.746533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.10.2017 03:00</th>\n",
       "      <td>13.618462</td>\n",
       "      <td>15.472866</td>\n",
       "      <td>13.760211</td>\n",
       "      <td>13.451998</td>\n",
       "      <td>12.339195</td>\n",
       "      <td>12.277355</td>\n",
       "      <td>11.611283</td>\n",
       "      <td>12.048682</td>\n",
       "      <td>12.926591</td>\n",
       "      <td>12.591264</td>\n",
       "      <td>...</td>\n",
       "      <td>9.305544</td>\n",
       "      <td>9.359666</td>\n",
       "      <td>9.691938</td>\n",
       "      <td>9.679736</td>\n",
       "      <td>10.035844</td>\n",
       "      <td>9.788907</td>\n",
       "      <td>9.424360</td>\n",
       "      <td>9.246095</td>\n",
       "      <td>8.804008</td>\n",
       "      <td>8.951136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5213 rows × 401 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      01001      01002      01003      01004      01051  \\\n",
       "Date                                                                      \n",
       "25.03.2017 23:00  14.978014  17.017546  15.133914  14.794931  13.571036   \n",
       "26.03.2017 00:00  13.943717  15.842410  14.088852  13.773277  12.633897   \n",
       "26.03.2017 01:00  12.540266  14.247854  12.670793  12.386981  11.362281   \n",
       "26.03.2017 03:00  13.044112  14.820307  13.179883  12.884668  11.818797   \n",
       "26.03.2017 04:00  13.125924  14.913260  13.262547  12.965481  11.892924   \n",
       "...                     ...        ...        ...        ...        ...   \n",
       "29.10.2017 00:00  14.912164  16.942730  15.067379  14.729887  13.511372   \n",
       "29.10.2017 01:00  14.059452  15.973905  14.205791  13.887597  12.738760   \n",
       "29.10.2017 02:00  13.610813  15.464176  13.752483  13.444443  12.332265   \n",
       "29.10.2017 02:00  13.307175  15.119192  13.445685  13.144516  12.057150   \n",
       "29.10.2017 03:00  13.618462  15.472866  13.760211  13.451998  12.339195   \n",
       "\n",
       "                      01053      01054      01055      01056      01057  ...  \\\n",
       "Date                                                                     ...   \n",
       "25.03.2017 23:00  13.503021  12.770455  13.251520  14.217072  13.848269  ...   \n",
       "26.03.2017 00:00  12.570579  11.888599  12.336445  13.235322  12.891986  ...   \n",
       "26.03.2017 01:00  11.305336  10.691998  11.094768  11.903172  11.594393  ...   \n",
       "26.03.2017 03:00  11.759565  11.121584  11.540536  12.381420  12.060235  ...   \n",
       "26.03.2017 04:00  11.833320  11.191338  11.612918  12.459076  12.135877  ...   \n",
       "...                     ...        ...        ...        ...        ...  ...   \n",
       "29.10.2017 00:00  13.443657  12.714311  13.193261  14.154568  13.787387  ...   \n",
       "29.10.2017 01:00  12.674917  11.987277  12.438839  13.345177  12.998991  ...   \n",
       "29.10.2017 02:00  12.270459  11.604761  12.041914  12.919331  12.584192  ...   \n",
       "29.10.2017 02:00  11.996723  11.345876  11.773277  12.631119  12.303457  ...   \n",
       "29.10.2017 03:00  12.277355  11.611283  12.048682  12.926591  12.591264  ...   \n",
       "\n",
       "                      16068      16069      16070      16071      16072  \\\n",
       "Date                                                                      \n",
       "25.03.2017 23:00  10.234530  10.294055  10.659499  10.646079  11.037737   \n",
       "26.03.2017 00:00   9.527791   9.583206   9.923414   9.910921  10.275534   \n",
       "26.03.2017 01:00   8.568808   8.618646   8.924611   8.913376   9.241290   \n",
       "26.03.2017 03:00   8.913088   8.964927   9.283186   9.271499   9.612588   \n",
       "26.03.2017 04:00   8.968991   9.021155   9.341410   9.329650   9.672878   \n",
       "...                     ...        ...        ...        ...        ...   \n",
       "29.10.2017 00:00  10.189535  10.248799  10.612635  10.599275  10.989211   \n",
       "29.10.2017 01:00   9.606873   9.662748  10.005780   9.993183  10.360822   \n",
       "29.10.2017 02:00   9.300317   9.354409   9.686494   9.674299  10.030207   \n",
       "29.10.2017 02:00   9.092840   9.145725   9.470403   9.458480   9.806448   \n",
       "29.10.2017 03:00   9.305544   9.359666   9.691938   9.679736  10.035844   \n",
       "\n",
       "                      16073      16074      16075     16076     16077  \n",
       "Date                                                                   \n",
       "25.03.2017 23:00  10.766148  10.365208  10.169147  9.682926  9.844741  \n",
       "26.03.2017 00:00  10.022699   9.649446   9.466923  9.014278  9.164919  \n",
       "26.03.2017 01:00   9.013903   8.678218   8.514067  8.106980  8.242460  \n",
       "26.03.2017 03:00   9.376066   9.026893   8.856147  8.432704  8.573627  \n",
       "26.03.2017 04:00   9.434872   9.083510   8.911692  8.485594  8.627401  \n",
       "...                     ...        ...        ...       ...       ...  \n",
       "29.10.2017 00:00  10.718816  10.319639  10.124439  9.640356  9.801460  \n",
       "29.10.2017 01:00  10.105889   9.729537   9.545500  9.089097  9.240989  \n",
       "29.10.2017 02:00   9.783409   9.419067   9.240902  8.799063  8.946108  \n",
       "29.10.2017 02:00   9.565155   9.208941   9.034751  8.602769  8.746533  \n",
       "29.10.2017 03:00   9.788907   9.424360   9.246095  8.804008  8.951136  \n",
       "\n",
       "[5213 rows x 401 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hourly_voll_df[2015:7228]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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