{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import datetime                         # Handle dates\n",
    "import pandas as pd\n",
    "from pyproj import Proj                   # Used to convert between different cord systems, here from UTM33 to WGS84\n",
    "import matplotlib.pyplot as plt           # For plotting\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import time\n",
    "from datetime import datetime\n",
    "from matplotlib.legend_handler import HandlerBase\n",
    "#There is 3 sets of data given to me: \n",
    "#Senorge stations: Done something to it!!\n",
    "#Eklima stations: Raw: Unsure if both wmo and met is included here...\n",
    "#Lussanas other list of stations: Raw: This splits wmo and met stations.. \n",
    "#Which should I use... \n",
    "#\n",
    "#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your chosed area of interest to be: ['WESTERN NORWAY', 'AGDER']\n"
     ]
    }
   ],
   "source": [
    "\n",
    "def filter_by_area(area):\n",
    "   \"\"\"-------------------------\n",
    "   #GETTING STATION INFO\n",
    "   \n",
    "   County: ['Hedmark' 'Østfold' 'Akershus' 'Oppland' 'Trøndelag' 'Oslo' 'Buskerud'  \n",
    "            'Hordaland' 'Vestfold' 'Telemark' 'Aust-Agder' 'Vest-Agder' 'Rogaland'\n",
    "             'Sogn Og Fjordane' 'Møre Og Romsdal' 'Nordland' 'Troms' 'Finnmark'\n",
    "   Region/Country: ['SOUTHEASTERN NORWAY' 'TRØNDELAG' 'NORWAY' 'WESTERN NORWAY' 'AGDER' 'NORTHERN NORWAY']\n",
    "   \n",
    "   WHERE:\n",
    "   ----- \n",
    "   SOUTHEASTERN NORWAY = ['Hedmark' 'Østfold' 'Akershus' 'Oppland' 'Oslo' 'Buskerud' 'Vestfold' 'Telemark']\n",
    "   TRØNDELAG = ['Trøndelag']\n",
    "   WESTERN NORWAY = ['Hordaland' 'Rogaland' 'Sogn Og Fjordane' 'Møre Og Romsdal']\n",
    "   AGDER = 'Aust-Agder' 'Vest-Agder']\n",
    "   NORTHERN NORWAY = ['Nordland' 'Troms' 'Finnmark']\n",
    "   \n",
    "   #-------------------------\n",
    "   \"\"\"\n",
    "   #Info of operational stations at the time of Walpurga(From eklima)\n",
    "   #path_info = \"/Users/ainajohannessen/Documents/Aina/skole/master/precipitation/input_data/station_info/ALL_land_stat_info_for_walp\"\n",
    "   path_info = \"/Users/ainajohannessen/Documents/Aina/skole/master/precipitation/input_data/station_info/stinfo_last6Y_Norway\"\n",
    "   station_info = pd.read_table(path_info, sep= \";\",header = [2])\n",
    "   station_info = station_info[:-2]\n",
    "   #station_info = station_info[:664]\n",
    "   station_info.Longitude = station_info.Longitude.apply(lambda Lon: Lon.replace(',','.')).values.astype(float)\n",
    "   station_info.Latitude = station_info.Latitude.apply(lambda Lat: Lat.replace(',','.')).values.astype(float)\n",
    "   station_info.index=station_info.Stnr.astype(str)\n",
    "   station_info.Stnr = station_info.Stnr.astype(str)\n",
    "   station_info.Stnr\n",
    "   #print (station_info[\"County\"].unique())\n",
    "   \n",
    "   Counties= ['Hedmark','Østfold','Akershus','Oppland','Trøndelag','Oslo','Buskerud','Hordaland','Vestfold','Telemark','Aust-Agder','Vest-Agder','Rogaland', 'Sogn Og Fjordane','Møre Og Romsdal','Nordland','Troms','Finnmark']\n",
    "   Region= ['SOUTHEASTERN NORWAY','TRØNDELAG','NORWAY','WESTERN NORWAY','AGDER','NORTHERN NORWAY']\n",
    "   \n",
    "   print (\"Your chosed area of interest to be: \" + str(area))\n",
    "   \n",
    "   #if all([z in Counties for z in area]):\n",
    "   #   df = df[ df['location'].isin( station_info[station_info[\"County\"].isin(area)  ].Stnr  )]   #ISIN\n",
    "   #if all([z in Region for z in area]):\n",
    "   #   df = df[ df['location'].isin( station_info[station_info[\"Region\"].isin(area)  ].Stnr  )]   #ISIN\n",
    "   #df = df[~df['location'].isin(station_info[station_info[\"County\"]==area].Stnr)] #ISNOTIN\n",
    "\n",
    "   return station_info\n",
    "station_info = filter_by_area(['WESTERN NORWAY','AGDER'])\n",
    "#df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ainajohannessen/anaconda/envs/3point6_lagranto/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2728: DtypeWarning: Columns (5,15) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###EKLIMA\n",
    "#station_info\n",
    "path_eklima = \"/Users/ainajohannessen/Documents/Aina/skole/master/precipitation/input_data/eklima/\"\n",
    "\n",
    "path_hordaland = path_eklima + \"2016septoct_Hordaland.txt\"\n",
    "path_rogaland = path_eklima + \"2016septoct_rogaland.txt\"\n",
    "path_vestAgder = path_eklima + \"2016septoct_vest_agder.txt\"\n",
    "path_austAgder = path_eklima + \"2016septoct_aust_agder.txt\"\n",
    "path_sognfjord = path_eklima + \"2016septoct_sognfjord.txt\"\n",
    "\n",
    "data_hord = pd.read_csv(path_hordaland, sep=\";\")\n",
    "data_hord[\"St.no\"]=data_hord[\"St.no\"].astype(str)\n",
    "data_rog = pd.read_csv(path_rogaland, sep=\";\")\n",
    "data_rog[\"St.no\"]=data_rog[\"St.no\"].astype(str)\n",
    "data_Vagd = pd.read_csv(path_vestAgder, sep=\";\")\n",
    "data_Vagd[\"St.no\"]=data_Vagd[\"St.no\"].astype(str)\n",
    "data_Aagd = pd.read_csv(path_austAgder, sep=\";\")\n",
    "data_Aagd[\"St.no\"]=data_Aagd[\"St.no\"].astype(str)\n",
    "\n",
    "data_Sfjor = pd.read_csv(path_sognfjord, sep=\";\")\n",
    "data_Sfjor[\"St.no\"]=data_Sfjor[\"St.no\"].astype(str)\n",
    "\n",
    "data_eklima_tot = pd.concat([data_Vagd,data_rog, data_hord, data_Aagd, data_Sfjor] )\n",
    "\n",
    "#data_eklima_tot = data_hord.copy()\n",
    "\n",
    "##If needing all info######\n",
    "eklima_stInfo = station_info[station_info[\"Stnr\"].isin(data_eklima_tot[\"St.no\"].values)]\n",
    "eklima_obswithinfo = pd.DataFrame(columns =['year', 'month', 'day', 'hour', 'nhour', 'stid', 'x', 'y', 'z',\n",
    "       'eve.lab', 'yo', 'yb', 'ya', 'yav', 'yidi', 'yidiv', 'dqcflag',\n",
    "       'Unnamed: 17', 'Stnr', 'Name', 'Operates from', 'Operates until',\n",
    "       'Altitude', 'Latitude', 'Longitude', 'Municipality', 'County',\n",
    "       'Region/Country', 'RR_24-Fromdate', 'RR_24-Until', 'RR_12-Fromdate',\n",
    "       'RR_12-Until', 'RR_1-Fromdate', 'RR_1-Until', 'RR_01-Fromdate',\n",
    "       'RR_01-Until'])\n",
    "#eklima_obswithinfo = pd.concat([eklima_obswithinfo, result], axis = 0)\n",
    "###########################\n",
    "\n",
    "#Prep for plotting\n",
    "def times(df1):    \n",
    "    y = df1[0]\n",
    "    m = df1[1]\n",
    "    d = df1[2]\n",
    "    h = df1[3]\n",
    "    dt = pd.datetime(y,m,d,h)#.DatetimeIndex[source]¶ pd.datetime(y,m,d,h)\n",
    "    return dt\n",
    "\n",
    "def get_hourly(group): #group = one station at a time\n",
    "    #set time as index for easy plotting\n",
    "    group.index = group[[\"Year\", \"Mnth\", \"Date\",\"Time(UTC)\"]].apply(times, axis = 1) \n",
    "    #Remove -9999 = missing values and \"x\" = not permission\n",
    "    group[\"RR_1\"].replace(to_replace=[-9999, \"x\", \"-9999\"], value=np.nan, inplace=True) \n",
    "    \n",
    "    RR1 = pd.DataFrame(index = group.index) #New dataframe containing only whats necessary\n",
    "    #county per station, but it will be reapeting the same county, so keep only one with unique()\n",
    "    eklima_stInfo = station_info[station_info[\"Stnr\"].isin(group[\"St.no\"].values)].copy() #only info of eklimastations\n",
    "    county = np.unique( eklima_stInfo[\"County\"] )\n",
    "    lat = np.unique( eklima_stInfo[\"Latitude\"] )\n",
    "    lon = np.unique( eklima_stInfo[\"Longitude\"] )\n",
    "    if county:\n",
    "        RR1[\"County\"] = county[0]\n",
    "        RR1[\"Longitude\"] = lon[0]\n",
    "        RR1[\"Latitude\"] = lat[0]\n",
    "        \n",
    "    else:\n",
    "        #In case there is missing info about the county\n",
    "        RR1[\"County\"] = np.nan \n",
    "        RR1[\"Longitude\"] = np.nan\n",
    "        RR1[\"Latitude\"] = np.nan\n",
    "\n",
    "    RR1[\"Year\"] = group[\"Year\"].values  \n",
    "    RR1[\"Mnth\"] = group[\"Mnth\"].values  \n",
    "    RR1[\"day\"] = group[\"Date\"].values  \n",
    "    RR1[\"Time(UTC)\"] = group[\"Time(UTC)\"].values  \n",
    "    RR1[\"St.no\"] = group[\"St.no\"].values   \n",
    "    RR1[\"RR_1\"] = group[\"RR_1\"].values.astype(float) #hourly precip\n",
    "    return RR1\n",
    "\n",
    "grdata_tot = data_eklima_tot.groupby([\"St.no\"]) #Groups the data by station\n",
    "RR1 = grdata_tot.apply(get_hourly); # apply function to every station\n",
    "RR1.index=RR1.index.droplevel(level=0)\n",
    "#RR1[\"Longitude\"] = lon[0]\n",
    "RR1 = RR1[RR1[\"Latitude\"]<=61]\n",
    "RR1 = RR1[RR1[\"Latitude\"]>=58]\n",
    "RR1 = RR1[RR1[\"Longitude\"]<=7]\n",
    "RR1 = RR1[RR1[\"Longitude\"]>=5]\n",
    "all_stid = RR1[\"St.no\"].unique()\n",
    "ro = []\n",
    "dic1 = {}\n",
    "period=6\n",
    "for sid in all_stid:\n",
    "    df1 = RR1[RR1[\"St.no\"]==sid]\n",
    "    roll = RR1[\"RR_1\"].rolling(period).sum() #rolling sum for one spec station\n",
    "    RR1[\"RR_6\"] = roll[RR1.index == roll.index]\n",
    "    dic1[sid] = roll[:]\n",
    "ndf = pd.DataFrame(dic1)\n",
    "\n",
    "\n",
    "#RR1[\"RR_6\"] = ndf[(ndf.keys==RR1[\"St.no\"]) & ]\n",
    "fig, ax = plt.subplots(figsize=(16,5))\n",
    "RR1 = RR1.loc[\"2016-09\",:]\n",
    "RR1 = RR1[RR1.day.isin([27, 28, 29, 30])]#,30])]\n",
    "RR1 = RR1[~ ((RR1.day==27) & (RR1.index.hour.isin([0, 1, 2, 3, 4, 5 ])))]\n",
    "RR1 = RR1[~ ((RR1.day==30) & (RR1.index.hour.isin([7, 8, 9, 10, 11, 12,13,14,15,16,17,18,19,20,21,22,23,24])))]\n",
    "\n",
    "RR1_co = RR1.groupby(\"County\")\n",
    "RR1_co[\"RR_6\"].plot(ax = ax, style =\"o\", fontsize=18 )\n",
    "leg = plt.legend(sorted(RR1.County.unique()), bbox_to_anchor=(0,1.02,1,0.2), loc=\"lower left\", mode=\"expand\", ncol = 3, fontsize=18)\n",
    "plt.ylabel(\"Precipitatuon [mm/6hour]\", fontsize=20)\n",
    "plt.xlabel(\"Time [month-day-hour]\", fontsize=18)\n",
    "ax.set_ylim(0, 70)\n",
    "#ax.set_xlim(1, -1)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "LH = leg.legendHandles\n",
    "ln = len(LH)\n",
    "names = sorted(RR1.County.unique())\n",
    "name_color = {}\n",
    "\n",
    "\n",
    "\n",
    "for i in range(0,ln):\n",
    "    c = LH[i].get_color()\n",
    "    nam = names[i]\n",
    "    name_color[nam] = c\n",
    "#print(name_color.get(\"Østfold\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_eklima_tot_cleaned = RR1.copy()\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "#fig = plt.figure()\n",
    "#map = Basemap( llcrnrlon = 3., llcrnrlat = 58., urcrnrlon = 10., urcrnrlat=63.,\\\n",
    "#            resolution = 'l', area_thresh = 10000., projection = 'merc' )\n",
    "\n",
    "map = Basemap( llcrnrlon = 1., llcrnrlat = 57., urcrnrlon = 12., urcrnrlat=64.,\\\n",
    "            resolution = 'l', area_thresh = 10000., projection = 'merc' )\n",
    "\n",
    "\n",
    "#RR1_co[\"RR_1\"] #2016-09-27 00:00:00    0.000000e+00\n",
    "#RR1[\"RR_6\"]\n",
    "map.drawcoastlines( linewidth = 0.5, linestyle = 'solid', color = \"k\", zorder=5)\n",
    "map.drawparallels(np.arange(55,72,1.0), labels=[False,False,False,False] )\n",
    "map.drawmeridians(np.arange(0,30,1.0), labels=[False,False,False,False] );\n",
    "#x_mesh,y_mesh\n",
    "x_rst_mapped,y_rst_mapped = map(data_eklima_tot_cleaned.Longitude.values.astype(float), data_eklima_tot_cleaned.Latitude.values.astype(float) )\n",
    "#ax.annotate( my_NVE_station_info['STATION_NAME'],(x_rst_mapped,y_rst_mapped), xytext=(-1, -1), textcoords='offset points')\n",
    "#ax.scatter(x_rst_mapped,y_rst_mapped) \n",
    "for i, ( stid) in enumerate( zip( data_eklima_tot_cleaned[\"St.no\"].unique() ), start=1 ):\n",
    "    st = \"{0}\".format(stid)\n",
    "    x_r,y_r = map( data_eklima_tot_cleaned[data_eklima_tot_cleaned[\"St.no\"].values == stid].Longitude.values.astype(float), data_eklima_tot_cleaned[data_eklima_tot_cleaned[\"St.no\"].values == stid].Latitude.values.astype(float) )\n",
    "    yomax = data_eklima_tot_cleaned[data_eklima_tot_cleaned[\"St.no\"].values == stid].RR_6.max()\n",
    "    c = data_eklima_tot_cleaned[data_eklima_tot_cleaned[\"St.no\"].values == stid].County.unique()[0]\n",
    "    markersize = (yomax/30 )*10\n",
    "    color = name_color.get(c)\n",
    "    ax.plot( x_r, y_r, 'o', markersize=markersize, color = color, zorder = 100 );\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#df1 = \n",
    "#def prec_time(period):\n",
    "#    ro = []\n",
    "#    dic1 = {}\n",
    "#    all_stid = df[\"stid\"].unique()\n",
    "#    for sid in all_stid:\n",
    "#        df1 = df[df[\"stid\"]==sid]\n",
    "#        roll = df1[ \"yo\" ].rolling(period).sum() #rolling sum for one spec station\n",
    "#        dic1[sid] = roll[:]\n",
    "           \n",
    "#fig, ax = plt.subplots(figsize=(16,5))\n",
    "#ndf = pd.DataFrame(dic1)\n",
    "#ax.plot(ndf,\"o\")\n",
    "#ax.set_xlabel( \"Date\")\n",
    "#ax.set_ylabel( \"precip [mm]\" )\n",
    "#ax.set_title('{} hourly precipitation [mm/6hour]'.format(period), fontsize = 20)    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "Cannot access attribute 'values' of 'SeriesGroupBy' objects, try using the 'apply' method",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-16-01b219be5a48>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mRR1_co\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"RR_6\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;31m#df[\"senorge6h_mean\"]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda/envs/3point6_lagranto/lib/python3.6/site-packages/pandas/core/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    547\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mattr\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    548\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 549\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_wrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m         raise AttributeError(\"%r object has no attribute %r\" %\n",
      "\u001b[0;32m~/anaconda/envs/3point6_lagranto/lib/python3.6/site-packages/pandas/core/groupby.py\u001b[0m in \u001b[0;36m_make_wrapper\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    561\u001b[0m                    \"using the 'apply' method\".format(kind, name,\n\u001b[1;32m    562\u001b[0m                                                      type(self).__name__))\n\u001b[0;32m--> 563\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    564\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    565\u001b[0m         \u001b[0;31m# need to setup the selection\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: Cannot access attribute 'values' of 'SeriesGroupBy' objects, try using the 'apply' method"
     ]
    }
   ],
   "source": [
    "RR1_co[\"RR_6\"]\n",
    "#df[\"senorge6h_mean\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib                                       \n",
    "import matplotlib.pyplot as plt                         \n",
    "import pandas as pd\n",
    "from mpl_toolkits.axes_grid1 import host_subplot\n",
    "import mpl_toolkits.axisartist as AA\n",
    "\n",
    "##CHOSEFILE:###\n",
    "filein=\"/Users/ainajohannessen/Documents/Aina/skole/master/trajectoryruns/upt_ivt_prec_csv/nawdex-case_senorge/nawdex_case.csv\"\n",
    "df = pd.read_csv(filein, sep=\";\")\n",
    "###############\n",
    "df\n",
    "################################################\n",
    "###SETTING NICER DATE FORMAT FOR XAXIS#########\n",
    "new_date_format=[]\n",
    "for date_hours in df[\"date_hour\"].values:\n",
    "    month=date_hours[4:6]\n",
    "    if month==\"12\":\n",
    "        month=\"Dec\"\n",
    "    elif month==\"9\" or month==\"09\":\n",
    "        month=\"Sep\"\n",
    "    day=date_hours[6:8]\n",
    "    time=date_hours[9:11]\n",
    "    new_string = day+\".\"+month+\" \" + time + \"UTC\"\n",
    "    new_date_format.append(new_string)\n",
    "newnew = pd.Series(new_date_format)\n",
    "df.set_index(newnew.values,inplace=True)\n",
    "################################################\n",
    "################################################\n",
    "\n",
    "\n",
    "#Plot1\n",
    "fig, ax = plt.subplots(figsize=(16,5))\n",
    "#ax3 = ax.twinx()\n",
    "x=RR1[\"RR_6\"].index\n",
    "xx=df[\"senorge6h_mean\"].index\n",
    "#print(xx.values)\n",
    "#ax.plot(x.values, RR1[\"RR_6\"].values, style =\"o\", fontsize=18 )\n",
    "\n",
    "asymmetric_error = [df[\"senorge6h_mean\"]-df[\"senorge6h_mean\"], df[\"senorge6h_max\"]- df[\"senorge6h_mean\"].values]\n",
    "ax.errorbar(df.date_hour,df[\"senorge6h_mean\"], yerr=asymmetric_error, fmt='o', color=\"k\")\n",
    "df[\"senorge6h_mean\"].plot(ax=ax,kind=\"bar\", color=\"gray\")\n",
    "#\n",
    "for tick in ax.get_xticklabels(): #Rotate the xlabels\n",
    "    tick.set_rotation(20)\n",
    "    tick.set_fontsize(20)\n",
    "    \n",
    "for tick in ax.get_yticklabels(): #Rotate the xlabels\n",
    "    tick.set_fontsize(20)    \n",
    "\n",
    "#ax.set_xlim(size=15)\n",
    "#ax.xticks(fontsize=14, rotation=90)\n",
    "ax.set_ylim(0, 70)\n",
    "#ax.set_xlabel(\"Time\", size=15)#    \n",
    "ax.set_ylabel(\"Accumulated precipitation [mm/6h]\", size=18)\n",
    "ax.legend([ \"max precipitation\", \"mean precipitation\"],loc=9,prop={'size': 15})\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1656x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib                                       \n",
    "import matplotlib.pyplot as plt                         \n",
    "import pandas as pd\n",
    "from mpl_toolkits.axes_grid1 import host_subplot\n",
    "import mpl_toolkits.axisartist as AA\n",
    "\n",
    "##CHOSEFILE:###\n",
    "filein=\"/Users/ainajohannessen/Documents/Aina/skole/master/trajectoryruns/upt_ivt_prec_csv/nawdex-case/nawdex_case.csv\"\n",
    "#filein=\"/Users/ainajohannessen/Documents/Aina/skole/master/trajectoryruns/upt_ivt_prec_csv/nawdex-case/aina_case.csv\"\n",
    "#filein=\"/Users/ainajohannessen/Documents/Aina/skole/master/trajectoryruns/upt_ivt_prec_csv/nawdex-case/birk_case.csv\"\n",
    "df = pd.read_csv(filein, sep=\";\")\n",
    "###############\n",
    "\n",
    "################################################\n",
    "###SETTING NICER DATE FORMAT FOR XAXIS#########\n",
    "new_date_format=[]\n",
    "for date_hours in df[\"Date_hour\"].values:\n",
    "   month=date_hours[4:6]\n",
    "   if month==\"12\":\n",
    "      month=\"Dec\"\n",
    "   elif month==\"9\" or month==\"09\":\n",
    "      month=\"Sep\"\n",
    "\n",
    "   day=date_hours[6:8]\n",
    "   time=date_hours[9:11]\n",
    "   new_string = day+\".\"+month+\" \" + time + \"UTC\"\n",
    "   new_date_format.append(new_string)\n",
    "newnew = pd.Series(new_date_format)\n",
    "df.set_index(newnew.values,inplace=True)\n",
    "################################################\n",
    "################################################\n",
    "\n",
    "\n",
    "#Plot1\n",
    "fig, ax = plt.subplots(figsize=(16,5))\n",
    "ax3 = ax.twinx()\n",
    "#df[\"6h_prec_fldmean\"]-df[\"6h_prec_min\"]\n",
    "asymmetric_error = [df[\"6h_prec_fldmean\"]-df[\"6h_prec_fldmean\"], df[\"6h_prec_max\"]- df[\"6h_prec_fldmean\"].values]\n",
    "ax.errorbar(df.Date_hour,df[\"6h_prec_fldmean\"], yerr=asymmetric_error, fmt='o', color=\"k\")\n",
    "df[\"6h_prec_fldmean\"].plot(ax=ax,kind=\"bar\", color=\"gray\")\n",
    "#\n",
    "for tick in ax.get_xticklabels(): #Rotate the xlabels\n",
    "    tick.set_rotation(20)\n",
    "\n",
    "ax.set_xlabel(\"Time\", size=15)#    \n",
    "ax.set_ylabel(\"Accumulated precipitation [mm/6h]\", size=15)\n",
    "#ax3.set_ylabel(\"Percentage of uptake [%]\", size=15)\n",
    "#\n",
    "#df.Norh60N.plot(ax=ax3, style='-o', color=\"red\", linewidth=5.0)\n",
    "#df.South35N.plot(ax=ax3, style='-o', color=\"lightskyblue\", linewidth=5.0)\n",
    "#df[\"35N-60N\"].plot(ax=ax3, style='-o', color=\"yellowgreen\", linewidth=5.0)\n",
    "#df[\"Local\"].plot(ax=ax3, style='-o', color=\"gold\", linewidth=5.0)\n",
    "#ax3.legend([\"North60N\", \"South35N\", \"35N-60N\", \"Local\"]);\n",
    "ax.legend([ \"max/min precipitation\", \"mean precipitation\"],loc=9,prop={'size': 15})\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#Plot2\n",
    "def make_patch_spines_invisible(ax):\n",
    "    ax.set_frame_on(True)\n",
    "    ax.patch.set_visible(False)\n",
    "    for sp in ax.spines.values():\n",
    "        sp.set_visible(False)\n",
    "\n",
    "fig, host = plt.subplots(figsize=(23, 6))\n",
    "fig.subplots_adjust(right=0.75)#bottom\n",
    "fig.subplots_adjust(bottom=0.2)#bottom\n",
    "par2 = host.twinx()\n",
    "\n",
    "par1 = host.twinx()\n",
    "\n",
    "par2.spines[\"right\"].set_position((\"axes\", 2))\n",
    "make_patch_spines_invisible(par2)\n",
    "par2.spines[\"right\"].set_visible(True)\n",
    "\n",
    "asymmetric_error = [df[\"6h_prec_fldmean\"]-df[\"6h_prec_fldmean\"], df[\"6h_prec_max\"]- df[\"6h_prec_fldmean\"].values]\n",
    "host.errorbar(df.Date_hour,df[\"6h_prec_fldmean\"], yerr=asymmetric_error, fmt='o', color=\"k\")\n",
    "p1=df[\"6h_prec_fldmean\"].plot(ax=host,kind=\"bar\", color=\"gray\")\n",
    "\n",
    "df[\"ivt_min\"].plot(ax=par2, style='y--')\n",
    "df[\"ivt_mean\"].plot(ax=par2, style='y-')\n",
    "df[\"ivt_max\"].plot(ax=par2, style='y--')\n",
    "par2.fill_between( df.index,df[\"ivt_min\"], df[\"ivt_max\"], color=\"orange\", alpha=0.1, hatch = '///',  edgecolor='orange')\n",
    "\n",
    "df.Norh60N.plot(ax=par1, style='-o', color=\"red\", linewidth=5.0)\n",
    "df.South35N.plot(ax=par1, style='-o', color=\"lightskyblue\", linewidth=5.0)\n",
    "df[\"35N-60N\"].plot(ax=par1, style='-o', color=\"yellowgreen\", linewidth=5.0)\n",
    "df[\"Local\"].plot(ax=par1, style='-o', color=\"gold\", linewidth=5.0)\n",
    "par1.legend([\"North60N\", \"South35N\", \"35N-60N\", \"Local\"], prop={'size': 13},loc=1);\n",
    "par2.legend([ \"max IVT\", \"mean IVT\"],loc=2,prop={'size': 13})\n",
    "host.legend([ \"max/min precipitation\", \"mean precipitation\"],loc=9,prop={'size': 13})\n",
    "\n",
    "for tick in host.get_xticklabels(): #Rotate the xlabels\n",
    "    tick.set_rotation(20)\n",
    "\n",
    "host.set_xlabel(\"Time\", size=13)#    \n",
    "host.set_ylabel(\"Accumulated precipitation [mm/6h]\", size=13)\n",
    "par1.set_ylabel(\"Percentage of uptake [%]\", size=13)\n",
    "par2.set_ylabel('Integrated water vapor transport (IVT) [kg$m^{-1}$ $s^{-1}$]', color=\"orange\", size=13)\n",
    "\n",
    "host.set_ylim(0,40)  #precip limit\n",
    "par2.set_ylim(0,1000) #IVT limit\n",
    "par1.set_ylim(0,100) # perclimit\n",
    "#max 40 precip\n",
    "#max 950\n",
    "par2.spines['right'].set_position(('outward', 60))\n",
    "tkw = dict(size=4, width=2.5, labelsize=13)\n",
    "par2.tick_params(axis='y', **tkw, colors=\"orange\")\n",
    "par1.tick_params(**tkw)\n",
    "host.tick_params(**tkw)\n",
    "\n",
    "plt.show()\n",
    "fig.savefig('Aina.png', dpi=fig.dpi)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>County</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Year</th>\n",
       "      <th>Mnth</th>\n",
       "      <th>day</th>\n",
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       "      <th>2016-09-27 06:00:00</th>\n",
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       "      <th>2016-09-29 06:00:00</th>\n",
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       "      <th>2016-09-30 06:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.9827</td>\n",
       "      <td>58.2435</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>41860</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2016-09-27 06:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-27 07:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
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       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.440892e-16</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-27 08:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "      <td>42160</td>\n",
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       "      <td>-4.440892e-16</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-27 09:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
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       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
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       "      <td>0.5</td>\n",
       "      <td>5.000000e-01</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-27 10:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
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       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 11:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 12:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
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       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 13:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 14:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 15:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 16:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>16</td>\n",
       "      <td>42160</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.100000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 17:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>42160</td>\n",
       "      <td>1.1</td>\n",
       "      <td>3.200000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 18:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4.100000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 19:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>19</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.4</td>\n",
       "      <td>4.500000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 20:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>20</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.500000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 21:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.400000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 22:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.400000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 23:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.300000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 00:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 01:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-28 02:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-28 03:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 04:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 05:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 06:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 07:00:00</th>\n",
       "      <td>Vest-Agder</td>\n",
       "      <td>6.5675</td>\n",
       "      <td>58.1090</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>42160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.220446e-16</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.5833</td>\n",
       "      <td>60.8347</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>52601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 12:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 18:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 12:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 18:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 12:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 18:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>18</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>5.2108</td>\n",
       "      <td>60.8462</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>52750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 06:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 12:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 18:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 06:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 12:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 18:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 06:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 12:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 18:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>18</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30 06:00:00</th>\n",
       "      <td>Sogn Og Fjordane</td>\n",
       "      <td>5.4250</td>\n",
       "      <td>60.9585</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>52930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 18:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 12:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-28 18:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 12:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-29 18:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>18</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30 06:00:00</th>\n",
       "      <td>Hordaland</td>\n",
       "      <td>6.7243</td>\n",
       "      <td>60.9004</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>53160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3027 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               County  Longitude  Latitude  Year  Mnth  day  \\\n",
       "2016-09-27 06:00:00        Vest-Agder     6.9827   58.2435  2016     9   27   \n",
       "2016-09-28 06:00:00        Vest-Agder     6.9827   58.2435  2016     9   28   \n",
       "2016-09-29 06:00:00        Vest-Agder     6.9827   58.2435  2016     9   29   \n",
       "2016-09-30 06:00:00        Vest-Agder     6.9827   58.2435  2016     9   30   \n",
       "2016-09-27 06:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 07:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 08:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 09:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 10:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 11:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 12:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 13:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 14:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 15:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 16:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 17:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 18:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 19:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 20:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 21:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 22:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-27 23:00:00        Vest-Agder     6.5675   58.1090  2016     9   27   \n",
       "2016-09-28 00:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 01:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 02:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 03:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 04:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 05:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 06:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "2016-09-28 07:00:00        Vest-Agder     6.5675   58.1090  2016     9   28   \n",
       "...                               ...        ...       ...   ...   ...  ...   \n",
       "2016-09-30 06:00:00         Hordaland     5.5833   60.8347  2016     9   30   \n",
       "2016-09-27 06:00:00         Hordaland     5.2108   60.8462  2016     9   27   \n",
       "2016-09-27 12:00:00         Hordaland     5.2108   60.8462  2016     9   27   \n",
       "2016-09-27 18:00:00         Hordaland     5.2108   60.8462  2016     9   27   \n",
       "2016-09-28 06:00:00         Hordaland     5.2108   60.8462  2016     9   28   \n",
       "2016-09-28 12:00:00         Hordaland     5.2108   60.8462  2016     9   28   \n",
       "2016-09-28 18:00:00         Hordaland     5.2108   60.8462  2016     9   28   \n",
       "2016-09-29 06:00:00         Hordaland     5.2108   60.8462  2016     9   29   \n",
       "2016-09-29 12:00:00         Hordaland     5.2108   60.8462  2016     9   29   \n",
       "2016-09-29 18:00:00         Hordaland     5.2108   60.8462  2016     9   29   \n",
       "2016-09-30 06:00:00         Hordaland     5.2108   60.8462  2016     9   30   \n",
       "2016-09-27 06:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   27   \n",
       "2016-09-27 12:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   27   \n",
       "2016-09-27 18:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   27   \n",
       "2016-09-28 06:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   28   \n",
       "2016-09-28 12:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   28   \n",
       "2016-09-28 18:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   28   \n",
       "2016-09-29 06:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   29   \n",
       "2016-09-29 12:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   29   \n",
       "2016-09-29 18:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   29   \n",
       "2016-09-30 06:00:00  Sogn Og Fjordane     5.4250   60.9585  2016     9   30   \n",
       "2016-09-27 06:00:00         Hordaland     6.7243   60.9004  2016     9   27   \n",
       "2016-09-27 18:00:00         Hordaland     6.7243   60.9004  2016     9   27   \n",
       "2016-09-28 06:00:00         Hordaland     6.7243   60.9004  2016     9   28   \n",
       "2016-09-28 12:00:00         Hordaland     6.7243   60.9004  2016     9   28   \n",
       "2016-09-28 18:00:00         Hordaland     6.7243   60.9004  2016     9   28   \n",
       "2016-09-29 06:00:00         Hordaland     6.7243   60.9004  2016     9   29   \n",
       "2016-09-29 12:00:00         Hordaland     6.7243   60.9004  2016     9   29   \n",
       "2016-09-29 18:00:00         Hordaland     6.7243   60.9004  2016     9   29   \n",
       "2016-09-30 06:00:00         Hordaland     6.7243   60.9004  2016     9   30   \n",
       "\n",
       "                     Time(UTC)  St.no  RR_1          RR_6  \n",
       "2016-09-27 06:00:00          6  41860   NaN           NaN  \n",
       "2016-09-28 06:00:00          6  41860   NaN           NaN  \n",
       "2016-09-29 06:00:00          6  41860   NaN           NaN  \n",
       "2016-09-30 06:00:00          6  41860   NaN           NaN  \n",
       "2016-09-27 06:00:00          6  42160   0.0 -4.440892e-16  \n",
       "2016-09-27 07:00:00          7  42160   0.0 -4.440892e-16  \n",
       "2016-09-27 08:00:00          8  42160   0.0 -4.440892e-16  \n",
       "2016-09-27 09:00:00          9  42160   0.5  5.000000e-01  \n",
       "2016-09-27 10:00:00         10  42160   0.0  5.000000e-01  \n",
       "2016-09-27 11:00:00         11  42160   0.0  5.000000e-01  \n",
       "2016-09-27 12:00:00         12  42160   0.0  5.000000e-01  \n",
       "2016-09-27 13:00:00         13  42160   0.0  5.000000e-01  \n",
       "2016-09-27 14:00:00         14  42160   0.0  5.000000e-01  \n",
       "2016-09-27 15:00:00         15  42160   0.1  1.000000e-01  \n",
       "2016-09-27 16:00:00         16  42160   2.0  2.100000e+00  \n",
       "2016-09-27 17:00:00         17  42160   1.1  3.200000e+00  \n",
       "2016-09-27 18:00:00         18  42160   0.9  4.100000e+00  \n",
       "2016-09-27 19:00:00         19  42160   0.4  4.500000e+00  \n",
       "2016-09-27 20:00:00         20  42160   0.0  4.500000e+00  \n",
       "2016-09-27 21:00:00         21  42160   0.0  4.400000e+00  \n",
       "2016-09-27 22:00:00         22  42160   0.0  2.400000e+00  \n",
       "2016-09-27 23:00:00         23  42160   0.0  1.300000e+00  \n",
       "2016-09-28 00:00:00          0  42160   0.0  4.000000e-01  \n",
       "2016-09-28 01:00:00          1  42160   0.0  2.220446e-16  \n",
       "2016-09-28 02:00:00          2  42160   0.0  2.220446e-16  \n",
       "2016-09-28 03:00:00          3  42160   0.0  2.220446e-16  \n",
       "2016-09-28 04:00:00          4  42160   0.0  2.220446e-16  \n",
       "2016-09-28 05:00:00          5  42160   0.0  2.220446e-16  \n",
       "2016-09-28 06:00:00          6  42160   0.0  2.220446e-16  \n",
       "2016-09-28 07:00:00          7  42160   0.0  2.220446e-16  \n",
       "...                        ...    ...   ...           ...  \n",
       "2016-09-30 06:00:00          6  52601   NaN           NaN  \n",
       "2016-09-27 06:00:00          6  52750   NaN           NaN  \n",
       "2016-09-27 12:00:00         12  52750   NaN           NaN  \n",
       "2016-09-27 18:00:00         18  52750   NaN           NaN  \n",
       "2016-09-28 06:00:00          6  52750   NaN           NaN  \n",
       "2016-09-28 12:00:00         12  52750   NaN           NaN  \n",
       "2016-09-28 18:00:00         18  52750   NaN           NaN  \n",
       "2016-09-29 06:00:00          6  52750   NaN           NaN  \n",
       "2016-09-29 12:00:00         12  52750   NaN           NaN  \n",
       "2016-09-29 18:00:00         18  52750   NaN           NaN  \n",
       "2016-09-30 06:00:00          6  52750   NaN           NaN  \n",
       "2016-09-27 06:00:00          6  52930   NaN           NaN  \n",
       "2016-09-27 12:00:00         12  52930   NaN           NaN  \n",
       "2016-09-27 18:00:00         18  52930   NaN           NaN  \n",
       "2016-09-28 06:00:00          6  52930   NaN           NaN  \n",
       "2016-09-28 12:00:00         12  52930   NaN           NaN  \n",
       "2016-09-28 18:00:00         18  52930   NaN           NaN  \n",
       "2016-09-29 06:00:00          6  52930   NaN           NaN  \n",
       "2016-09-29 12:00:00         12  52930   NaN           NaN  \n",
       "2016-09-29 18:00:00         18  52930   NaN           NaN  \n",
       "2016-09-30 06:00:00          6  52930   NaN           NaN  \n",
       "2016-09-27 06:00:00          6  53160   NaN           NaN  \n",
       "2016-09-27 18:00:00         18  53160   NaN           NaN  \n",
       "2016-09-28 06:00:00          6  53160   NaN           NaN  \n",
       "2016-09-28 12:00:00         12  53160   NaN           NaN  \n",
       "2016-09-28 18:00:00         18  53160   NaN           NaN  \n",
       "2016-09-29 06:00:00          6  53160   NaN           NaN  \n",
       "2016-09-29 12:00:00         12  53160   NaN           NaN  \n",
       "2016-09-29 18:00:00         18  53160   NaN           NaN  \n",
       "2016-09-30 06:00:00          6  53160   NaN           NaN  \n",
       "\n",
       "[3027 rows x 10 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RR1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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