{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 31,
   "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": 32,
   "metadata": {
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   "outputs": [
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       "      <th></th>\n",
       "      <th>Stnr</th>\n",
       "      <th>Name</th>\n",
       "      <th>Operates from</th>\n",
       "      <th>Operates until</th>\n",
       "      <th>Altitude</th>\n",
       "      <th>Latitude</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>60</td>\n",
       "      <td>LINNES</td>\n",
       "      <td>Jul 1968</td>\n",
       "      <td>NaN</td>\n",
       "      <td>564.0</td>\n",
       "      <td>61.5581</td>\n",
       "      <td>12.4990</td>\n",
       "      <td>Trysil</td>\n",
       "      <td>Hedmark</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>01.07.1968</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
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       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>100</td>\n",
       "      <td>PLASSEN</td>\n",
       "      <td>Jan 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>333.0</td>\n",
       "      <td>61.1349</td>\n",
       "      <td>12.5039</td>\n",
       "      <td>Trysil</td>\n",
       "      <td>Hedmark</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>01.07.1968</td>\n",
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       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>180</td>\n",
       "      <td>TRYSIL VEGSTASJON</td>\n",
       "      <td>Nov 1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>360.0</td>\n",
       "      <td>61.2944</td>\n",
       "      <td>12.2719</td>\n",
       "      <td>Trysil</td>\n",
       "      <td>Hedmark</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>10.11.1993</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>10.11.1993</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>250</td>\n",
       "      <td>ØRSJØSETRA</td>\n",
       "      <td>Jul 1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>664.0</td>\n",
       "      <td>61.4188</td>\n",
       "      <td>12.3785</td>\n",
       "      <td>Trysil</td>\n",
       "      <td>Hedmark</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>01.07.1993</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>420</td>\n",
       "      <td>HEGGERISET - NORDSTRAND</td>\n",
       "      <td>Jul 1968</td>\n",
       "      <td>NaN</td>\n",
       "      <td>481.0</td>\n",
       "      <td>61.6847</td>\n",
       "      <td>11.9965</td>\n",
       "      <td>Engerdal</td>\n",
       "      <td>Hedmark</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>01.07.1968</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "     Stnr                     Name Operates from Operates until  Altitude  \\\n",
       "Stnr                                                                        \n",
       "60     60                   LINNES      Jul 1968            NaN     564.0   \n",
       "100   100                  PLASSEN      Jan 1901            NaN     333.0   \n",
       "180   180        TRYSIL VEGSTASJON      Nov 1993            NaN     360.0   \n",
       "250   250               ØRSJØSETRA      Jul 1993            NaN     664.0   \n",
       "420   420  HEGGERISET - NORDSTRAND      Jul 1968            NaN     481.0   \n",
       "\n",
       "      Latitude  Longitude Municipality   County       Region/Country  \\\n",
       "Stnr                                                                   \n",
       "60     61.5581    12.4990       Trysil  Hedmark  SOUTHEASTERN NORWAY   \n",
       "100    61.1349    12.5039       Trysil  Hedmark  SOUTHEASTERN NORWAY   \n",
       "180    61.2944    12.2719       Trysil  Hedmark  SOUTHEASTERN NORWAY   \n",
       "250    61.4188    12.3785       Trysil  Hedmark  SOUTHEASTERN NORWAY   \n",
       "420    61.6847    11.9965     Engerdal  Hedmark  SOUTHEASTERN NORWAY   \n",
       "\n",
       "     RR_24-Fromdate RR_24-Until RR_12-Fromdate RR_12-Until RR_1-Fromdate  \\\n",
       "Stnr                                                                       \n",
       "60       01.07.1968          ->          -9999       -9999         -9999   \n",
       "100      01.07.1968          ->          -9999       -9999         -9999   \n",
       "180      10.11.1993          ->     10.11.1993          ->         -9999   \n",
       "250      01.07.1993          ->          -9999       -9999         -9999   \n",
       "420      01.07.1968          ->          -9999       -9999         -9999   \n",
       "\n",
       "     RR_1-Until RR_01-Fromdate RR_01-Until  \n",
       "Stnr                                        \n",
       "60        -9999          -9999       -9999  \n",
       "100       -9999          -9999       -9999  \n",
       "180       -9999          -9999       -9999  \n",
       "250       -9999          -9999       -9999  \n",
       "420       -9999          -9999       -9999  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#-------------------------\n",
    "#GETTING STATION INFO\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",
    "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.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
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    {
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       "      <th>year</th>\n",
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       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>nhour</th>\n",
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       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>eve.lab</th>\n",
       "      <th>...</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-09-27 00:00:00</th>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
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       "      <td>59.386301</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Østfold</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>04.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>03.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>02.07.2009</td>\n",
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       "      <td>-9999</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-27 01:00:00</th>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3290</td>\n",
       "      <td>11.387492</td>\n",
       "      <td>59.386301</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Østfold</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>04.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>03.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>02.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
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       "    <tr>\n",
       "      <th>2016-09-27 02:00:00</th>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3290</td>\n",
       "      <td>11.387492</td>\n",
       "      <td>59.386301</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Østfold</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>04.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>03.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>02.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 03:00:00</th>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3290</td>\n",
       "      <td>11.387492</td>\n",
       "      <td>59.386301</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Østfold</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>04.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>03.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>02.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-27 04:00:00</th>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3290</td>\n",
       "      <td>11.387492</td>\n",
       "      <td>59.386301</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Østfold</td>\n",
       "      <td>SOUTHEASTERN NORWAY</td>\n",
       "      <td>04.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>03.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>02.07.2009</td>\n",
       "      <td>-&gt;</td>\n",
       "      <td>-9999</td>\n",
       "      <td>-9999</td>\n",
       "    </tr>\n",
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       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     year month day hour nhour  stid          x          y  \\\n",
       "2016-09-27 00:00:00  2016     9  27    0     1  3290  11.387492  59.386301   \n",
       "2016-09-27 01:00:00  2016     9  27    1     1  3290  11.387492  59.386301   \n",
       "2016-09-27 02:00:00  2016     9  27    2     1  3290  11.387492  59.386301   \n",
       "2016-09-27 03:00:00  2016     9  27    3     1  3290  11.387492  59.386301   \n",
       "2016-09-27 04:00:00  2016     9  27    4     1  3290  11.387492  59.386301   \n",
       "\n",
       "                       z  eve.lab     ...       County       Region/Country  \\\n",
       "2016-09-27 00:00:00  100      NaN     ...      Østfold  SOUTHEASTERN NORWAY   \n",
       "2016-09-27 01:00:00  100      NaN     ...      Østfold  SOUTHEASTERN NORWAY   \n",
       "2016-09-27 02:00:00  100      NaN     ...      Østfold  SOUTHEASTERN NORWAY   \n",
       "2016-09-27 03:00:00  100      NaN     ...      Østfold  SOUTHEASTERN NORWAY   \n",
       "2016-09-27 04:00:00  100      NaN     ...      Østfold  SOUTHEASTERN NORWAY   \n",
       "\n",
       "                    RR_24-Fromdate RR_24-Until  RR_12-Fromdate  RR_12-Until  \\\n",
       "2016-09-27 00:00:00     04.07.2009          ->      03.07.2009           ->   \n",
       "2016-09-27 01:00:00     04.07.2009          ->      03.07.2009           ->   \n",
       "2016-09-27 02:00:00     04.07.2009          ->      03.07.2009           ->   \n",
       "2016-09-27 03:00:00     04.07.2009          ->      03.07.2009           ->   \n",
       "2016-09-27 04:00:00     04.07.2009          ->      03.07.2009           ->   \n",
       "\n",
       "                     RR_1-Fromdate  RR_1-Until RR_01-Fromdate RR_01-Until  \n",
       "2016-09-27 00:00:00     02.07.2009          ->          -9999       -9999  \n",
       "2016-09-27 01:00:00     02.07.2009          ->          -9999       -9999  \n",
       "2016-09-27 02:00:00     02.07.2009          ->          -9999       -9999  \n",
       "2016-09-27 03:00:00     02.07.2009          ->          -9999       -9999  \n",
       "2016-09-27 04:00:00     02.07.2009          ->          -9999       -9999  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###SENORGE\n",
    "#--------------------------------\n",
    "#EXTRACTING SENORGE STATIONS:::OBS! MISSING FILES BETWEEN 2016093006 - 2016100106(But not really the biggest part of event)\n",
    "#--------------------------------\n",
    "\"\"\"#2577\n",
    "Reading and defining variables for station observation\n",
    "\"\"\"\n",
    "\n",
    "path_to_obs = \"/Users/ainajohannessen/Documents/Aina/skole/master/precipitation/input_data/senorge/PREC1h_station_senorge2/201609/\"\n",
    "\n",
    "dates = [20160927,20160928,20160929]\n",
    "times = np.arange(0,24,1)\n",
    "senorge_stations = pd.DataFrame()\n",
    "p = []\n",
    "for d in dates:\n",
    "    for t in times:\n",
    "        period = str(d)+str(t).zfill(2)\n",
    "        p.append(period)\n",
    "        file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "        df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "        senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "    \n",
    "#Manually written in last values due to some of them missing:\n",
    "period = 2016093000\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "period = 2016093001\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "period = 2016093002\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "period = 2016093003\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "period = 2016093004\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "period = 2016093005\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\")\n",
    "period = 2016093006\n",
    "p.append(period)\n",
    "file = \"seNorge_v2_0_PREC1h_station_{0}_{0}.txt\".format(period)\n",
    "df_n = pd.read_table(path_to_obs+file,sep=\";\")\n",
    "senorge_stations = senorge_stations.append(df_n, ignore_index = \"True\");\n",
    "senorge_stations.head()\n",
    "\n",
    "#------------------------\n",
    "#Handling senorge data: coordinates and info\n",
    "#-------------------------\n",
    "# --Setting up corrdinate change-----------------------------------------------------------\n",
    "proj4_string = \"+proj=utm +zone=33 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0\"\n",
    "#proj4_string = \"proj='WGS84', ellps='WGS84'\"\n",
    "\n",
    "p = Proj( proj4_string )\n",
    "x_wst = senorge_stations[\"x\"][:].values\n",
    "y_wst = senorge_stations[\"y\"][:].values\n",
    "lonlat_wst = p(x_wst, y_wst,inverse=True) # Make new lonlat in WGS84 from UTM33\n",
    "\n",
    "lon_wst = lonlat_wst[0]\n",
    "lat_wst = lonlat_wst[1]\n",
    "senorge_stations[\"x\"] = lon_wst\n",
    "senorge_stations[\"y\"] = lat_wst\n",
    "\n",
    "senorge_stations = senorge_stations.loc[senorge_stations.dqcflag == 0] #Use only were dqcflag = 0 (see mail)\n",
    "\n",
    "senorge_stat_info = station_info[station_info.Stnr.isin(senorge_stations.stid.values.astype(str))]\n",
    "senorge_stat_info.head()\n",
    "\n",
    "#--------------------------------\n",
    "#Combining info and observations from senorge station in one dataframe.\n",
    "#--------------------------------\n",
    "\n",
    "senorge_stat_info.index = senorge_stat_info.Stnr\n",
    "\n",
    "#All the columns in the information dataframe and in the senorge dataframe\n",
    "senorge_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",
    "for stid in senorge_stat_info.Stnr:\n",
    "    info = senorge_stat_info[senorge_stat_info.Stnr==stid]\n",
    "    df_part_new = senorge_stations[senorge_stations.stid.astype(str)==stid].copy()\n",
    "    leng = df_part_new.shape[0]\n",
    "    df_copy = pd.concat([info]*leng, ignore_index=True)\n",
    "    df_copy.index = df_copy.Stnr\n",
    "    df_part_new.index = df_part_new.stid.astype(str)\n",
    "    result = pd.concat([df_part_new, df_copy], axis=1)\n",
    "    senorge_obswithinfo = pd.concat([senorge_obswithinfo, result], axis = 0)\n",
    "    \n",
    "senorge_obswithinfo.head()\n",
    "\n",
    "#----------------------------------------------------\n",
    "#Making date and time as index to get easy plotting\n",
    "#----------------------------------------------------\n",
    "\n",
    "senorge_obswithinfo = senorge_obswithinfo.sort_values(['stid', 'day', \"hour\"], ascending=[True, True, True])\n",
    "all_stid = senorge_obswithinfo[\"stid\"].unique()\n",
    "\n",
    "# Set Dates as indexes of dataframe.\n",
    "def date(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",
    "senorge_obswithinfo.index = senorge_obswithinfo[[\"year\", \"month\", \"day\", \"hour\"]].apply(date,axis=1)\n",
    "#rng = pd.date_range('24/9/2016', periods=151, freq='H')\n",
    "senorge_obswithinfo.index = pd.DatetimeIndex(senorge_obswithinfo.index).to_pydatetime()\n",
    "\n",
    "senorge_obswithinfo.head() # contains info and obs from senorge for event period.\n",
    "#station_info\n",
    "#senorge_stat_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e060f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#7f7f7f\n"
     ]
    }
   ],
   "source": [
    "#plot senorge\n",
    "\n",
    "df = pd.concat([senorge_obswithinfo['County'], senorge_obswithinfo['yo']], axis=1, keys=['County', 'yo'])\n",
    "fig, ax = plt.subplots(figsize=(16,5))\n",
    "\n",
    "df_co = df.groupby(\"County\")\n",
    "df_co.plot(ax = ax, style =\"o\" )\n",
    "leg = plt.legend(sorted(df.County.unique()), bbox_to_anchor=(0,1.02,1,0.2), loc=\"lower left\", mode=\"expand\", ncol = 3)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "LH = leg.legendHandles\n",
    "ln = len(LH)\n",
    "names = sorted(df.County.unique())\n",
    "name_color = {}\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\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110aa1ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "['Aust-Agder', 'Hordaland', 'Rogaland', 'Sogn Og Fjordane', 'Vest-Agder']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#plot senorge\n",
    "\n",
    "#df = pd.concat([senorge_obswithinfo['County'], senorge_obswithinfo['yo']], axis=1, keys=['County', 'yo'])\n",
    "df_wc = df[df['County'].isin([\"Hordaland\", \"Rogaland\", \"Sogn Og Fjordane\", \"Vest-Agder\", \"Aust-Agder\" ]) ]\n",
    "fig, ax = plt.subplots(figsize=(16,5))\n",
    "\n",
    "df_co = df_wc.groupby(\"County\")\n",
    "df_co.plot(ax = ax, style =\"o\" )\n",
    "leg = plt.legend(sorted(df_wc.County.unique()), bbox_to_anchor=(0,1.02,1,0.2), loc=\"lower left\", mode=\"expand\", ncol = 3)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "LH = leg.legendHandles\n",
    "ln = len(LH)\n",
    "names = sorted(df_wc.County.unique())\n",
    "name_color = {}\n",
    "for i in range(0,ln):\n",
    "    c = LH[i].get_color()\n",
    "    nam = names[i]\n",
    "    name_color[nam] = c\n",
    "names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e1d86a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,15))\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 = 30., urcrnrlat=70.,\\\n",
    "            resolution = 'l', area_thresh = 10000., projection = 'merc' )\n",
    "\n",
    "map.drawcoastlines( linewidth = 0.5, linestyle = 'solid', color = \"k\", zorder=5)\n",
    "map.drawparallels(np.arange(55,72,1.0), labels=[True,False,False,False] )\n",
    "map.drawmeridians(np.arange(0,30,1.0), labels=[False,False,False,True] );\n",
    "#x_mesh,y_mesh\n",
    "x_rst_mapped,y_rst_mapped = map(senorge_obswithinfo.Longitude.values.astype(float), senorge_obswithinfo.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( senorge_obswithinfo.stid.unique() ), start=1 ):\n",
    "    st = \"{0}\".format(stid)\n",
    "    x_r,y_r = map( senorge_obswithinfo[senorge_obswithinfo.stid.values == stid].Longitude.values.astype(float), senorge_obswithinfo[senorge_obswithinfo.stid.values == stid].Latitude.values.astype(float) )\n",
    "    yomax = senorge_obswithinfo[senorge_obswithinfo.stid.values == stid].yo.max()\n",
    "    c = senorge_obswithinfo[senorge_obswithinfo.stid.values == stid].County.unique()[0]\n",
    "    markersize = (yomax/10 )*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": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## EKLIMA DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ainajohannessen/anaconda/envs/3point6/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": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d535a20>"
      ]
     },
     "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",
    "\n",
    "fig, ax = plt.subplots(figsize=(16,5))\n",
    "RR1 = RR1.loc[\"2016-09\",:]\n",
    "RR1 = RR1[RR1.day.isin([27, 28, 29])]#,30])]\n",
    "RR1_co = RR1.groupby(\"County\")\n",
    "RR1_co[\"RR_1\"].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/hour]\", fontsize=18)\n",
    "plt.xlabel(\"Time [mnth-day-hour]\", fontsize=18)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "LH = leg.legendHandles\n",
    "ln = len(LH)\n",
    "names = sorted(RR1.County.unique())\n",
    "name_color = {}\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": 38,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#RR1_with_info = pd.concat([RR1,station_info], axis = 1 )\n",
    "\n",
    "RR1.index = RR1[\"St.no\"].astype(str)\n",
    "RR1[\"stid\"] = RR1[\"St.no\"]\n",
    "RR1[\"yo\"] = RR1[\"RR_1\"]\n",
    "#RR1_with_info = RR1.concat( [ RR1, station_info[station_info[\"Stnr\"].isin(RR1.index.values)] ], axis = 1 )\n",
    "#station_info[station_info[\"Stnr\"].isin(RR1.index.values)]\n",
    "#RR1_with_info25830"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d2fbc50>"
      ]
     },
     "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",
    "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.stid.unique() ), start=1 ):\n",
    "    st = \"{0}\".format(stid)\n",
    "    x_r,y_r = map( data_eklima_tot_cleaned[data_eklima_tot_cleaned.stid.values == stid].Longitude.values.astype(float), data_eklima_tot_cleaned[data_eklima_tot_cleaned.stid.values == stid].Latitude.values.astype(float) )\n",
    "    yomax = data_eklima_tot_cleaned[data_eklima_tot_cleaned.stid.values == stid].yo.max()\n",
    "    c = data_eklima_tot_cleaned[data_eklima_tot_cleaned.stid.values == stid].County.unique()[0]\n",
    "    markersize = (yomax/10 )*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": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## kdvh -lussana data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "path_kdvh = \"/Users/ainajohannessen/Documents/Aina/skole/master/precipitation/input_data/senorge_kdvh/201609/\"\n",
    "path_kdvh_file = path_kdvh + \"29/kdvh_Norway_wmo_2016092918.txt\"\n",
    "data_kdvh = pd.read_csv(path_kdvh_file, sep=\";\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sourceId</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>x_lcc</th>\n",
       "      <th>y_lcc</th>\n",
       "      <th>x_utm33</th>\n",
       "      <th>y_utm33</th>\n",
       "      <th>x_laea</th>\n",
       "      <th>y_laea</th>\n",
       "      <th>z</th>\n",
       "      <th>FF</th>\n",
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       "      <th>TA</th>\n",
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       "  </thead>\n",
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       "      <td>4.390794e+06</td>\n",
       "      <td>4.386807e+06</td>\n",
       "      <td>625</td>\n",
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       "      <td>976.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
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       "      <td>SN10800:0</td>\n",
       "      <td>11.8153</td>\n",
       "      <td>62.67930</td>\n",
       "      <td>202045.802200</td>\n",
       "      <td>1.657099e+06</td>\n",
       "      <td>3.369684e+05</td>\n",
       "      <td>6.953886e+06</td>\n",
       "      <td>4.414406e+06</td>\n",
       "      <td>4.398660e+06</td>\n",
       "      <td>747</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
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       "      <td>4.368633e+06</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>10.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SN12290:0</td>\n",
       "      <td>11.0903</td>\n",
       "      <td>60.80100</td>\n",
       "      <td>172320.535944</td>\n",
       "      <td>1.439804e+06</td>\n",
       "      <td>2.873056e+05</td>\n",
       "      <td>6.746961e+06</td>\n",
       "      <td>4.380545e+06</td>\n",
       "      <td>4.189389e+06</td>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SN12320:0</td>\n",
       "      <td>11.0697</td>\n",
       "      <td>60.81800</td>\n",
       "      <td>171095.083544</td>\n",
       "      <td>1.441700e+06</td>\n",
       "      <td>2.862993e+05</td>\n",
       "      <td>6.748919e+06</td>\n",
       "      <td>4.379390e+06</td>\n",
       "      <td>4.191260e+06</td>\n",
       "      <td>221</td>\n",
       "      <td>6.0</td>\n",
       "      <td>980.4</td>\n",
       "      <td>12.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>191.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SN12550:0</td>\n",
       "      <td>10.8055</td>\n",
       "      <td>60.77330</td>\n",
       "      <td>156562.165109</td>\n",
       "      <td>1.436032e+06</td>\n",
       "      <td>2.716288e+05</td>\n",
       "      <td>6.744837e+06</td>\n",
       "      <td>4.365029e+06</td>\n",
       "      <td>4.186104e+06</td>\n",
       "      <td>128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SN12680:0</td>\n",
       "      <td>10.4775</td>\n",
       "      <td>61.09250</td>\n",
       "      <td>137091.443098</td>\n",
       "      <td>1.471903e+06</td>\n",
       "      <td>2.562434e+05</td>\n",
       "      <td>6.781518e+06</td>\n",
       "      <td>4.346847e+06</td>\n",
       "      <td>4.221395e+06</td>\n",
       "      <td>240</td>\n",
       "      <td>4.0</td>\n",
       "      <td>978.0</td>\n",
       "      <td>12.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>149.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SN13150:0</td>\n",
       "      <td>10.1872</td>\n",
       "      <td>61.45820</td>\n",
       "      <td>119843.748822</td>\n",
       "      <td>1.513306e+06</td>\n",
       "      <td>2.436177e+05</td>\n",
       "      <td>6.823293e+06</td>\n",
       "      <td>4.331019e+06</td>\n",
       "      <td>4.261931e+06</td>\n",
       "      <td>200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SN13160:0</td>\n",
       "      <td>10.1277</td>\n",
       "      <td>61.46480</td>\n",
       "      <td>116563.503033</td>\n",
       "      <td>1.513972e+06</td>\n",
       "      <td>2.405072e+05</td>\n",
       "      <td>6.824262e+06</td>\n",
       "      <td>4.327833e+06</td>\n",
       "      <td>4.262657e+06</td>\n",
       "      <td>1030</td>\n",
       "      <td>8.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>215.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SN13420:0</td>\n",
       "      <td>10.1082</td>\n",
       "      <td>61.65130</td>\n",
       "      <td>114910.369985</td>\n",
       "      <td>1.535336e+06</td>\n",
       "      <td>2.410303e+05</td>\n",
       "      <td>6.845074e+06</td>\n",
       "      <td>4.326756e+06</td>\n",
       "      <td>4.283362e+06</td>\n",
       "      <td>930</td>\n",
       "      <td>5.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>201.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SN13655:0</td>\n",
       "      <td>9.4023</td>\n",
       "      <td>61.53080</td>\n",
       "      <td>76691.145832</td>\n",
       "      <td>1.520632e+06</td>\n",
       "      <td>2.025675e+05</td>\n",
       "      <td>6.834700e+06</td>\n",
       "      <td>4.289085e+06</td>\n",
       "      <td>4.270114e+06</td>\n",
       "      <td>928</td>\n",
       "      <td>3.1</td>\n",
       "      <td>978.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SN15270:0</td>\n",
       "      <td>8.3690</td>\n",
       "      <td>61.67750</td>\n",
       "      <td>20100.890770</td>\n",
       "      <td>1.536821e+06</td>\n",
       "      <td>1.494523e+05</td>\n",
       "      <td>6.856140e+06</td>\n",
       "      <td>4.234321e+06</td>\n",
       "      <td>4.287269e+06</td>\n",
       "      <td>1894</td>\n",
       "      <td>15.4</td>\n",
       "      <td>978.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SN15890:0</td>\n",
       "      <td>7.6637</td>\n",
       "      <td>62.01620</td>\n",
       "      <td>-18149.826176</td>\n",
       "      <td>1.575735e+06</td>\n",
       "      <td>1.165375e+05</td>\n",
       "      <td>6.897707e+06</td>\n",
       "      <td>4.198181e+06</td>\n",
       "      <td>4.325902e+06</td>\n",
       "      <td>872</td>\n",
       "      <td>4.1</td>\n",
       "      <td>979.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>294.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SN16560:0</td>\n",
       "      <td>9.1147</td>\n",
       "      <td>62.07165</td>\n",
       "      <td>60065.289467</td>\n",
       "      <td>1.582508e+06</td>\n",
       "      <td>1.927721e+05</td>\n",
       "      <td>6.896121e+06</td>\n",
       "      <td>4.274534e+06</td>\n",
       "      <td>4.330313e+06</td>\n",
       "      <td>638</td>\n",
       "      <td>2.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>213.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SN16610:0</td>\n",
       "      <td>9.2862</td>\n",
       "      <td>62.11330</td>\n",
       "      <td>69225.771734</td>\n",
       "      <td>1.587444e+06</td>\n",
       "      <td>2.021170e+05</td>\n",
       "      <td>6.899946e+06</td>\n",
       "      <td>4.283585e+06</td>\n",
       "      <td>4.334833e+06</td>\n",
       "      <td>973</td>\n",
       "      <td>6.6</td>\n",
       "      <td>979.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>186.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SN17000:0</td>\n",
       "      <td>10.8288</td>\n",
       "      <td>59.15130</td>\n",
       "      <td>164639.450291</td>\n",
       "      <td>1.251438e+06</td>\n",
       "      <td>2.615071e+05</td>\n",
       "      <td>6.564358e+06</td>\n",
       "      <td>4.368524e+06</td>\n",
       "      <td>4.005886e+06</td>\n",
       "      <td>10</td>\n",
       "      <td>20.0</td>\n",
       "      <td>986.4</td>\n",
       "      <td>14.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>241.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SN17150:0</td>\n",
       "      <td>10.7980</td>\n",
       "      <td>59.37420</td>\n",
       "      <td>161929.082666</td>\n",
       "      <td>1.276673e+06</td>\n",
       "      <td>2.613130e+05</td>\n",
       "      <td>6.589257e+06</td>\n",
       "      <td>4.366466e+06</td>\n",
       "      <td>4.030642e+06</td>\n",
       "      <td>40</td>\n",
       "      <td>8.5</td>\n",
       "      <td>986.5</td>\n",
       "      <td>13.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>SN17280:0</td>\n",
       "      <td>10.5780</td>\n",
       "      <td>59.43520</td>\n",
       "      <td>148970.184280</td>\n",
       "      <td>1.283157e+06</td>\n",
       "      <td>2.492794e+05</td>\n",
       "      <td>6.596851e+06</td>\n",
       "      <td>4.353874e+06</td>\n",
       "      <td>4.037301e+06</td>\n",
       "      <td>14</td>\n",
       "      <td>11.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SN17850:1</td>\n",
       "      <td>10.7818</td>\n",
       "      <td>59.66050</td>\n",
       "      <td>159817.737118</td>\n",
       "      <td>1.309169e+06</td>\n",
       "      <td>2.624173e+05</td>\n",
       "      <td>6.621156e+06</td>\n",
       "      <td>4.365175e+06</td>\n",
       "      <td>4.062451e+06</td>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.7</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>19</th>\n",
       "      <td>SN17850:0</td>\n",
       "      <td>10.7818</td>\n",
       "      <td>59.66050</td>\n",
       "      <td>159817.737118</td>\n",
       "      <td>1.309169e+06</td>\n",
       "      <td>2.624173e+05</td>\n",
       "      <td>6.621156e+06</td>\n",
       "      <td>4.365175e+06</td>\n",
       "      <td>4.062451e+06</td>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SN180:0</td>\n",
       "      <td>12.2719</td>\n",
       "      <td>61.29440</td>\n",
       "      <td>235022.812028</td>\n",
       "      <td>1.499340e+06</td>\n",
       "      <td>3.538457e+05</td>\n",
       "      <td>6.798632e+06</td>\n",
       "      <td>4.443186e+06</td>\n",
       "      <td>4.245694e+06</td>\n",
       "      <td>360</td>\n",
       "      <td>2.5</td>\n",
       "      <td>979.7</td>\n",
       "      <td>9.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>152.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SN18500:0</td>\n",
       "      <td>10.6878</td>\n",
       "      <td>60.05130</td>\n",
       "      <td>152868.710438</td>\n",
       "      <td>1.353445e+06</td>\n",
       "      <td>2.599617e+05</td>\n",
       "      <td>6.664957e+06</td>\n",
       "      <td>4.359420e+06</td>\n",
       "      <td>4.105825e+06</td>\n",
       "      <td>360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SN18700:2</td>\n",
       "      <td>10.7200</td>\n",
       "      <td>59.94230</td>\n",
       "      <td>155137.325226</td>\n",
       "      <td>1.341099e+06</td>\n",
       "      <td>2.609668e+05</td>\n",
       "      <td>6.652718e+06</td>\n",
       "      <td>4.361348e+06</td>\n",
       "      <td>4.093731e+06</td>\n",
       "      <td>94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.1</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>23</th>\n",
       "      <td>SN18700:0</td>\n",
       "      <td>10.7200</td>\n",
       "      <td>59.94230</td>\n",
       "      <td>155137.325226</td>\n",
       "      <td>1.341099e+06</td>\n",
       "      <td>2.609668e+05</td>\n",
       "      <td>6.652718e+06</td>\n",
       "      <td>4.361348e+06</td>\n",
       "      <td>4.093731e+06</td>\n",
       "      <td>94</td>\n",
       "      <td>6.7</td>\n",
       "      <td>983.0</td>\n",
       "      <td>12.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>214.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>SN18950:0</td>\n",
       "      <td>10.6693</td>\n",
       "      <td>59.98470</td>\n",
       "      <td>152079.600221</td>\n",
       "      <td>1.345825e+06</td>\n",
       "      <td>2.584471e+05</td>\n",
       "      <td>6.657618e+06</td>\n",
       "      <td>4.358460e+06</td>\n",
       "      <td>4.098414e+06</td>\n",
       "      <td>514</td>\n",
       "      <td>8.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SN19710:0</td>\n",
       "      <td>10.4358</td>\n",
       "      <td>59.85580</td>\n",
       "      <td>139244.612589</td>\n",
       "      <td>1.330712e+06</td>\n",
       "      <td>2.444466e+05</td>\n",
       "      <td>6.644161e+06</td>\n",
       "      <td>4.345484e+06</td>\n",
       "      <td>4.083988e+06</td>\n",
       "      <td>163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SN20301:0</td>\n",
       "      <td>10.2478</td>\n",
       "      <td>60.16650</td>\n",
       "      <td>127468.725981</td>\n",
       "      <td>1.365768e+06</td>\n",
       "      <td>2.364192e+05</td>\n",
       "      <td>6.679445e+06</td>\n",
       "      <td>4.334795e+06</td>\n",
       "      <td>4.118463e+06</td>\n",
       "      <td>140</td>\n",
       "      <td>3.9</td>\n",
       "      <td>981.8</td>\n",
       "      <td>12.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SN21680:0</td>\n",
       "      <td>10.0358</td>\n",
       "      <td>60.93450</td>\n",
       "      <td>113133.868538</td>\n",
       "      <td>1.453112e+06</td>\n",
       "      <td>2.311323e+05</td>\n",
       "      <td>6.765682e+06</td>\n",
       "      <td>4.322947e+06</td>\n",
       "      <td>4.203759e+06</td>\n",
       "      <td>542</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SN23410:0</td>\n",
       "      <td>9.2928</td>\n",
       "      <td>61.01280</td>\n",
       "      <td>71698.485705</td>\n",
       "      <td>1.461178e+06</td>\n",
       "      <td>1.917165e+05</td>\n",
       "      <td>6.777660e+06</td>\n",
       "      <td>4.282626e+06</td>\n",
       "      <td>4.212647e+06</td>\n",
       "      <td>822</td>\n",
       "      <td>6.8</td>\n",
       "      <td>978.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>SN23420:0</td>\n",
       "      <td>9.2240</td>\n",
       "      <td>60.97850</td>\n",
       "      <td>67945.490623</td>\n",
       "      <td>1.457191e+06</td>\n",
       "      <td>1.876698e+05</td>\n",
       "      <td>6.774176e+06</td>\n",
       "      <td>4.278849e+06</td>\n",
       "      <td>4.208877e+06</td>\n",
       "      <td>358</td>\n",
       "      <td>2.1</td>\n",
       "      <td>978.4</td>\n",
       "      <td>10.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</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",
       "      <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>219</th>\n",
       "      <td>SN91380:0</td>\n",
       "      <td>20.2823</td>\n",
       "      <td>69.38750</td>\n",
       "      <td>522296.718845</td>\n",
       "      <td>2.485875e+06</td>\n",
       "      <td>7.073165e+05</td>\n",
       "      <td>7.706524e+06</td>\n",
       "      <td>4.728155e+06</td>\n",
       "      <td>5.170081e+06</td>\n",
       "      <td>20</td>\n",
       "      <td>0.6</td>\n",
       "      <td>981.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>SN91500:0</td>\n",
       "      <td>20.4253</td>\n",
       "      <td>69.57380</td>\n",
       "      <td>524695.704533</td>\n",
       "      <td>2.509175e+06</td>\n",
       "      <td>7.110748e+05</td>\n",
       "      <td>7.727719e+06</td>\n",
       "      <td>4.730299e+06</td>\n",
       "      <td>5.191224e+06</td>\n",
       "      <td>697</td>\n",
       "      <td>4.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>221.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>SN9160:0</td>\n",
       "      <td>9.9947</td>\n",
       "      <td>62.12820</td>\n",
       "      <td>107307.256923</td>\n",
       "      <td>1.589969e+06</td>\n",
       "      <td>2.391253e+05</td>\n",
       "      <td>6.898544e+06</td>\n",
       "      <td>4.320722e+06</td>\n",
       "      <td>4.336298e+06</td>\n",
       "      <td>694</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>SN91740:0</td>\n",
       "      <td>20.9553</td>\n",
       "      <td>69.78870</td>\n",
       "      <td>542497.675438</td>\n",
       "      <td>2.538633e+06</td>\n",
       "      <td>7.293063e+05</td>\n",
       "      <td>7.753505e+06</td>\n",
       "      <td>4.746693e+06</td>\n",
       "      <td>5.217833e+06</td>\n",
       "      <td>6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>981.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>288.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>SN92750:0</td>\n",
       "      <td>22.1457</td>\n",
       "      <td>70.48650</td>\n",
       "      <td>576250.304200</td>\n",
       "      <td>2.631234e+06</td>\n",
       "      <td>7.658554e+05</td>\n",
       "      <td>7.835779e+06</td>\n",
       "      <td>4.777211e+06</td>\n",
       "      <td>5.301212e+06</td>\n",
       "      <td>6</td>\n",
       "      <td>1.2</td>\n",
       "      <td>982.7</td>\n",
       "      <td>8.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>SN93000:0</td>\n",
       "      <td>22.4428</td>\n",
       "      <td>70.60700</td>\n",
       "      <td>585458.796387</td>\n",
       "      <td>2.648006e+06</td>\n",
       "      <td>7.752170e+05</td>\n",
       "      <td>7.850457e+06</td>\n",
       "      <td>4.785531e+06</td>\n",
       "      <td>5.316252e+06</td>\n",
       "      <td>438</td>\n",
       "      <td>8.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>SN9310:0</td>\n",
       "      <td>9.5423</td>\n",
       "      <td>62.22070</td>\n",
       "      <td>82760.592819</td>\n",
       "      <td>1.600057e+06</td>\n",
       "      <td>2.164535e+05</td>\n",
       "      <td>6.910728e+06</td>\n",
       "      <td>4.297091e+06</td>\n",
       "      <td>4.346642e+06</td>\n",
       "      <td>1012</td>\n",
       "      <td>3.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>SN93140:0</td>\n",
       "      <td>23.3582</td>\n",
       "      <td>69.97750</td>\n",
       "      <td>637335.691928</td>\n",
       "      <td>2.579649e+06</td>\n",
       "      <td>8.185187e+05</td>\n",
       "      <td>7.785240e+06</td>\n",
       "      <td>4.834268e+06</td>\n",
       "      <td>5.254754e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>983.8</td>\n",
       "      <td>10.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>SN93301:0</td>\n",
       "      <td>23.5345</td>\n",
       "      <td>69.57970</td>\n",
       "      <td>654247.005184</td>\n",
       "      <td>2.533656e+06</td>\n",
       "      <td>8.313932e+05</td>\n",
       "      <td>7.742187e+06</td>\n",
       "      <td>4.850544e+06</td>\n",
       "      <td>5.213136e+06</td>\n",
       "      <td>381</td>\n",
       "      <td>4.4</td>\n",
       "      <td>984.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>152.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>SN93900:0</td>\n",
       "      <td>23.5387</td>\n",
       "      <td>68.75530</td>\n",
       "      <td>674398.972571</td>\n",
       "      <td>2.435914e+06</td>\n",
       "      <td>8.443476e+05</td>\n",
       "      <td>7.651048e+06</td>\n",
       "      <td>4.870529e+06</td>\n",
       "      <td>5.124080e+06</td>\n",
       "      <td>382</td>\n",
       "      <td>8.4</td>\n",
       "      <td>983.9</td>\n",
       "      <td>7.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>152.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>SN94230:0</td>\n",
       "      <td>22.8177</td>\n",
       "      <td>70.41070</td>\n",
       "      <td>605070.309669</td>\n",
       "      <td>2.627253e+06</td>\n",
       "      <td>7.918271e+05</td>\n",
       "      <td>7.830467e+06</td>\n",
       "      <td>4.803851e+06</td>\n",
       "      <td>5.297623e+06</td>\n",
       "      <td>18</td>\n",
       "      <td>6.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>SN94280:0</td>\n",
       "      <td>23.6772</td>\n",
       "      <td>70.68070</td>\n",
       "      <td>633004.766858</td>\n",
       "      <td>2.666643e+06</td>\n",
       "      <td>8.194355e+05</td>\n",
       "      <td>7.864666e+06</td>\n",
       "      <td>4.829098e+06</td>\n",
       "      <td>5.332989e+06</td>\n",
       "      <td>81</td>\n",
       "      <td>4.1</td>\n",
       "      <td>982.9</td>\n",
       "      <td>10.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>SN94500:0</td>\n",
       "      <td>23.9817</td>\n",
       "      <td>71.09370</td>\n",
       "      <td>634656.016500</td>\n",
       "      <td>2.718945e+06</td>\n",
       "      <td>8.237617e+05</td>\n",
       "      <td>7.911914e+06</td>\n",
       "      <td>4.829834e+06</td>\n",
       "      <td>5.379721e+06</td>\n",
       "      <td>13</td>\n",
       "      <td>4.1</td>\n",
       "      <td>983.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>SN94680:0</td>\n",
       "      <td>25.9782</td>\n",
       "      <td>71.01050</td>\n",
       "      <td>714951.649891</td>\n",
       "      <td>2.726402e+06</td>\n",
       "      <td>8.967705e+05</td>\n",
       "      <td>7.914645e+06</td>\n",
       "      <td>4.903381e+06</td>\n",
       "      <td>5.386760e+06</td>\n",
       "      <td>14</td>\n",
       "      <td>4.3</td>\n",
       "      <td>984.8</td>\n",
       "      <td>9.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>SN95350:0</td>\n",
       "      <td>24.9900</td>\n",
       "      <td>70.06000</td>\n",
       "      <td>701805.341795</td>\n",
       "      <td>2.603670e+06</td>\n",
       "      <td>8.787533e+05</td>\n",
       "      <td>7.803701e+06</td>\n",
       "      <td>4.893621e+06</td>\n",
       "      <td>5.276576e+06</td>\n",
       "      <td>5</td>\n",
       "      <td>5.1</td>\n",
       "      <td>985.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>SN9580:0</td>\n",
       "      <td>10.7320</td>\n",
       "      <td>62.26950</td>\n",
       "      <td>146380.499620</td>\n",
       "      <td>1.607443e+06</td>\n",
       "      <td>2.785471e+05</td>\n",
       "      <td>6.911509e+06</td>\n",
       "      <td>4.359176e+06</td>\n",
       "      <td>4.352178e+06</td>\n",
       "      <td>482</td>\n",
       "      <td>2.9</td>\n",
       "      <td>975.8</td>\n",
       "      <td>9.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>SN96310:0</td>\n",
       "      <td>27.8298</td>\n",
       "      <td>71.03300</td>\n",
       "      <td>786327.001900</td>\n",
       "      <td>2.747122e+06</td>\n",
       "      <td>9.623350e+05</td>\n",
       "      <td>7.930279e+06</td>\n",
       "      <td>4.968392e+06</td>\n",
       "      <td>5.405845e+06</td>\n",
       "      <td>13</td>\n",
       "      <td>5.8</td>\n",
       "      <td>986.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>SN96400:0</td>\n",
       "      <td>28.2170</td>\n",
       "      <td>71.08880</td>\n",
       "      <td>799546.010701</td>\n",
       "      <td>2.757759e+06</td>\n",
       "      <td>9.747401e+05</td>\n",
       "      <td>7.939381e+06</td>\n",
       "      <td>4.980230e+06</td>\n",
       "      <td>5.415469e+06</td>\n",
       "      <td>8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>986.6</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>SN96850:0</td>\n",
       "      <td>28.1590</td>\n",
       "      <td>70.21220</td>\n",
       "      <td>825144.433134</td>\n",
       "      <td>2.653122e+06</td>\n",
       "      <td>9.938053e+05</td>\n",
       "      <td>7.843185e+06</td>\n",
       "      <td>5.006640e+06</td>\n",
       "      <td>5.321978e+06</td>\n",
       "      <td>32</td>\n",
       "      <td>4.2</td>\n",
       "      <td>988.1</td>\n",
       "      <td>9.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>SN97251:0</td>\n",
       "      <td>25.5023</td>\n",
       "      <td>69.46350</td>\n",
       "      <td>738952.378898</td>\n",
       "      <td>2.537644e+06</td>\n",
       "      <td>9.094336e+05</td>\n",
       "      <td>7.741309e+06</td>\n",
       "      <td>4.929262e+06</td>\n",
       "      <td>5.216943e+06</td>\n",
       "      <td>131</td>\n",
       "      <td>1.5</td>\n",
       "      <td>985.7</td>\n",
       "      <td>8.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>SN97710:0</td>\n",
       "      <td>25.3460</td>\n",
       "      <td>69.30030</td>\n",
       "      <td>736881.837616</td>\n",
       "      <td>2.516855e+06</td>\n",
       "      <td>9.064622e+05</td>\n",
       "      <td>7.722293e+06</td>\n",
       "      <td>4.927700e+06</td>\n",
       "      <td>5.198036e+06</td>\n",
       "      <td>591</td>\n",
       "      <td>5.6</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>SN98090:0</td>\n",
       "      <td>29.0348</td>\n",
       "      <td>70.87080</td>\n",
       "      <td>838340.331047</td>\n",
       "      <td>2.740525e+06</td>\n",
       "      <td>1.009268e+06</td>\n",
       "      <td>7.922277e+06</td>\n",
       "      <td>5.016340e+06</td>\n",
       "      <td>5.400540e+06</td>\n",
       "      <td>13</td>\n",
       "      <td>11.2</td>\n",
       "      <td>987.3</td>\n",
       "      <td>9.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>SN98360:0</td>\n",
       "      <td>29.7000</td>\n",
       "      <td>70.60280</td>\n",
       "      <td>873312.635124</td>\n",
       "      <td>2.716211e+06</td>\n",
       "      <td>1.040203e+06</td>\n",
       "      <td>7.898903e+06</td>\n",
       "      <td>5.049259e+06</td>\n",
       "      <td>5.379221e+06</td>\n",
       "      <td>152</td>\n",
       "      <td>10.9</td>\n",
       "      <td>988.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>SN98400:0</td>\n",
       "      <td>30.0700</td>\n",
       "      <td>70.70570</td>\n",
       "      <td>884228.152467</td>\n",
       "      <td>2.732564e+06</td>\n",
       "      <td>1.050719e+06</td>\n",
       "      <td>7.913415e+06</td>\n",
       "      <td>5.058784e+06</td>\n",
       "      <td>5.394021e+06</td>\n",
       "      <td>9</td>\n",
       "      <td>8.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>SN98550:0</td>\n",
       "      <td>31.0962</td>\n",
       "      <td>70.37070</td>\n",
       "      <td>936264.948891</td>\n",
       "      <td>2.705322e+06</td>\n",
       "      <td>1.097311e+06</td>\n",
       "      <td>7.886881e+06</td>\n",
       "      <td>5.107658e+06</td>\n",
       "      <td>5.370342e+06</td>\n",
       "      <td>14</td>\n",
       "      <td>11.4</td>\n",
       "      <td>990.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>SN98580:0</td>\n",
       "      <td>31.0440</td>\n",
       "      <td>70.35450</td>\n",
       "      <td>934796.632213</td>\n",
       "      <td>2.702793e+06</td>\n",
       "      <td>1.095888e+06</td>\n",
       "      <td>7.884615e+06</td>\n",
       "      <td>5.106392e+06</td>\n",
       "      <td>5.368045e+06</td>\n",
       "      <td>12</td>\n",
       "      <td>12.1</td>\n",
       "      <td>990.5</td>\n",
       "      <td>9.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>158.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>SN98790:0</td>\n",
       "      <td>29.8352</td>\n",
       "      <td>70.06530</td>\n",
       "      <td>896999.831417</td>\n",
       "      <td>2.654552e+06</td>\n",
       "      <td>1.059645e+06</td>\n",
       "      <td>7.841739e+06</td>\n",
       "      <td>5.073054e+06</td>\n",
       "      <td>5.324067e+06</td>\n",
       "      <td>39</td>\n",
       "      <td>8.6</td>\n",
       "      <td>989.7</td>\n",
       "      <td>9.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>SN99370:0</td>\n",
       "      <td>29.8977</td>\n",
       "      <td>69.72550</td>\n",
       "      <td>911105.797243</td>\n",
       "      <td>2.615515e+06</td>\n",
       "      <td>1.071182e+06</td>\n",
       "      <td>7.805409e+06</td>\n",
       "      <td>5.087330e+06</td>\n",
       "      <td>5.288951e+06</td>\n",
       "      <td>89</td>\n",
       "      <td>7.1</td>\n",
       "      <td>989.9</td>\n",
       "      <td>8.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>158.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>SN99460:0</td>\n",
       "      <td>30.0410</td>\n",
       "      <td>69.45520</td>\n",
       "      <td>926169.894164</td>\n",
       "      <td>2.585695e+06</td>\n",
       "      <td>1.083970e+06</td>\n",
       "      <td>7.777413e+06</td>\n",
       "      <td>5.102239e+06</td>\n",
       "      <td>5.262081e+06</td>\n",
       "      <td>27</td>\n",
       "      <td>5.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>SN99540:0</td>\n",
       "      <td>29.2440</td>\n",
       "      <td>69.14700</td>\n",
       "      <td>903711.364824</td>\n",
       "      <td>2.540343e+06</td>\n",
       "      <td>1.061500e+06</td>\n",
       "      <td>7.736401e+06</td>\n",
       "      <td>5.082654e+06</td>\n",
       "      <td>5.220560e+06</td>\n",
       "      <td>56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>989.5</td>\n",
       "      <td>9.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>249 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      sourceId      lon       lat          x_lcc         y_lcc       x_utm33  \\\n",
       "0    SN10380:0  11.3518  62.57730  178028.439856  1.644199e+06  3.126155e+05   \n",
       "1    SN10800:0  11.8153  62.67930  202045.802200  1.657099e+06  3.369684e+05   \n",
       "2    SN11500:0  10.8695  60.70020  160442.979385  1.427814e+06  2.745979e+05   \n",
       "3    SN12290:0  11.0903  60.80100  172320.535944  1.439804e+06  2.873056e+05   \n",
       "4    SN12320:0  11.0697  60.81800  171095.083544  1.441700e+06  2.862993e+05   \n",
       "5    SN12550:0  10.8055  60.77330  156562.165109  1.436032e+06  2.716288e+05   \n",
       "6    SN12680:0  10.4775  61.09250  137091.443098  1.471903e+06  2.562434e+05   \n",
       "7    SN13150:0  10.1872  61.45820  119843.748822  1.513306e+06  2.436177e+05   \n",
       "8    SN13160:0  10.1277  61.46480  116563.503033  1.513972e+06  2.405072e+05   \n",
       "9    SN13420:0  10.1082  61.65130  114910.369985  1.535336e+06  2.410303e+05   \n",
       "10   SN13655:0   9.4023  61.53080   76691.145832  1.520632e+06  2.025675e+05   \n",
       "11   SN15270:0   8.3690  61.67750   20100.890770  1.536821e+06  1.494523e+05   \n",
       "12   SN15890:0   7.6637  62.01620  -18149.826176  1.575735e+06  1.165375e+05   \n",
       "13   SN16560:0   9.1147  62.07165   60065.289467  1.582508e+06  1.927721e+05   \n",
       "14   SN16610:0   9.2862  62.11330   69225.771734  1.587444e+06  2.021170e+05   \n",
       "15   SN17000:0  10.8288  59.15130  164639.450291  1.251438e+06  2.615071e+05   \n",
       "16   SN17150:0  10.7980  59.37420  161929.082666  1.276673e+06  2.613130e+05   \n",
       "17   SN17280:0  10.5780  59.43520  148970.184280  1.283157e+06  2.492794e+05   \n",
       "18   SN17850:1  10.7818  59.66050  159817.737118  1.309169e+06  2.624173e+05   \n",
       "19   SN17850:0  10.7818  59.66050  159817.737118  1.309169e+06  2.624173e+05   \n",
       "20     SN180:0  12.2719  61.29440  235022.812028  1.499340e+06  3.538457e+05   \n",
       "21   SN18500:0  10.6878  60.05130  152868.710438  1.353445e+06  2.599617e+05   \n",
       "22   SN18700:2  10.7200  59.94230  155137.325226  1.341099e+06  2.609668e+05   \n",
       "23   SN18700:0  10.7200  59.94230  155137.325226  1.341099e+06  2.609668e+05   \n",
       "24   SN18950:0  10.6693  59.98470  152079.600221  1.345825e+06  2.584471e+05   \n",
       "25   SN19710:0  10.4358  59.85580  139244.612589  1.330712e+06  2.444466e+05   \n",
       "26   SN20301:0  10.2478  60.16650  127468.725981  1.365768e+06  2.364192e+05   \n",
       "27   SN21680:0  10.0358  60.93450  113133.868538  1.453112e+06  2.311323e+05   \n",
       "28   SN23410:0   9.2928  61.01280   71698.485705  1.461178e+06  1.917165e+05   \n",
       "29   SN23420:0   9.2240  60.97850   67945.490623  1.457191e+06  1.876698e+05   \n",
       "..         ...      ...       ...            ...           ...           ...   \n",
       "219  SN91380:0  20.2823  69.38750  522296.718845  2.485875e+06  7.073165e+05   \n",
       "220  SN91500:0  20.4253  69.57380  524695.704533  2.509175e+06  7.110748e+05   \n",
       "221   SN9160:0   9.9947  62.12820  107307.256923  1.589969e+06  2.391253e+05   \n",
       "222  SN91740:0  20.9553  69.78870  542497.675438  2.538633e+06  7.293063e+05   \n",
       "223  SN92750:0  22.1457  70.48650  576250.304200  2.631234e+06  7.658554e+05   \n",
       "224  SN93000:0  22.4428  70.60700  585458.796387  2.648006e+06  7.752170e+05   \n",
       "225   SN9310:0   9.5423  62.22070   82760.592819  1.600057e+06  2.164535e+05   \n",
       "226  SN93140:0  23.3582  69.97750  637335.691928  2.579649e+06  8.185187e+05   \n",
       "227  SN93301:0  23.5345  69.57970  654247.005184  2.533656e+06  8.313932e+05   \n",
       "228  SN93900:0  23.5387  68.75530  674398.972571  2.435914e+06  8.443476e+05   \n",
       "229  SN94230:0  22.8177  70.41070  605070.309669  2.627253e+06  7.918271e+05   \n",
       "230  SN94280:0  23.6772  70.68070  633004.766858  2.666643e+06  8.194355e+05   \n",
       "231  SN94500:0  23.9817  71.09370  634656.016500  2.718945e+06  8.237617e+05   \n",
       "232  SN94680:0  25.9782  71.01050  714951.649891  2.726402e+06  8.967705e+05   \n",
       "233  SN95350:0  24.9900  70.06000  701805.341795  2.603670e+06  8.787533e+05   \n",
       "234   SN9580:0  10.7320  62.26950  146380.499620  1.607443e+06  2.785471e+05   \n",
       "235  SN96310:0  27.8298  71.03300  786327.001900  2.747122e+06  9.623350e+05   \n",
       "236  SN96400:0  28.2170  71.08880  799546.010701  2.757759e+06  9.747401e+05   \n",
       "237  SN96850:0  28.1590  70.21220  825144.433134  2.653122e+06  9.938053e+05   \n",
       "238  SN97251:0  25.5023  69.46350  738952.378898  2.537644e+06  9.094336e+05   \n",
       "239  SN97710:0  25.3460  69.30030  736881.837616  2.516855e+06  9.064622e+05   \n",
       "240  SN98090:0  29.0348  70.87080  838340.331047  2.740525e+06  1.009268e+06   \n",
       "241  SN98360:0  29.7000  70.60280  873312.635124  2.716211e+06  1.040203e+06   \n",
       "242  SN98400:0  30.0700  70.70570  884228.152467  2.732564e+06  1.050719e+06   \n",
       "243  SN98550:0  31.0962  70.37070  936264.948891  2.705322e+06  1.097311e+06   \n",
       "244  SN98580:0  31.0440  70.35450  934796.632213  2.702793e+06  1.095888e+06   \n",
       "245  SN98790:0  29.8352  70.06530  896999.831417  2.654552e+06  1.059645e+06   \n",
       "246  SN99370:0  29.8977  69.72550  911105.797243  2.615515e+06  1.071182e+06   \n",
       "247  SN99460:0  30.0410  69.45520  926169.894164  2.585695e+06  1.083970e+06   \n",
       "248  SN99540:0  29.2440  69.14700  903711.364824  2.540343e+06  1.061500e+06   \n",
       "\n",
       "          y_utm33        x_laea        y_laea     z    FF     PR    TA  DG  \\\n",
       "0    6.943793e+06  4.390794e+06  4.386807e+06   625   1.4  976.0   8.1 NaN   \n",
       "1    6.953886e+06  4.414406e+06  4.398660e+06   747   NaN    NaN   6.5 NaN   \n",
       "2    6.736485e+06  4.368633e+06  4.178026e+06   264   NaN    NaN  10.8 NaN   \n",
       "3    6.746961e+06  4.380545e+06  4.189389e+06   132   NaN    NaN  13.2 NaN   \n",
       "4    6.748919e+06  4.379390e+06  4.191260e+06   221   6.0  980.4  12.3 NaN   \n",
       "5    6.744837e+06  4.365029e+06  4.186104e+06   128   NaN    NaN  12.6 NaN   \n",
       "6    6.781518e+06  4.346847e+06  4.221395e+06   240   4.0  978.0  12.1 NaN   \n",
       "7    6.823293e+06  4.331019e+06  4.261931e+06   200   NaN    NaN  11.5 NaN   \n",
       "8    6.824262e+06  4.327833e+06  4.262657e+06  1030   8.4    NaN   4.2 NaN   \n",
       "9    6.845074e+06  4.326756e+06  4.283362e+06   930   5.5    NaN   4.9 NaN   \n",
       "10   6.834700e+06  4.289085e+06  4.270114e+06   928   3.1  978.4   3.2 NaN   \n",
       "11   6.856140e+06  4.234321e+06  4.287269e+06  1894  15.4  978.0  -2.1 NaN   \n",
       "12   6.897707e+06  4.198181e+06  4.325902e+06   872   4.1  979.5   4.1 NaN   \n",
       "13   6.896121e+06  4.274534e+06  4.330313e+06   638   2.8    NaN   6.8 NaN   \n",
       "14   6.899946e+06  4.283585e+06  4.334833e+06   973   6.6  979.3   4.8 NaN   \n",
       "15   6.564358e+06  4.368524e+06  4.005886e+06    10  20.0  986.4  14.3 NaN   \n",
       "16   6.589257e+06  4.366466e+06  4.030642e+06    40   8.5  986.5  13.1 NaN   \n",
       "17   6.596851e+06  4.353874e+06  4.037301e+06    14  11.6    NaN  13.7 NaN   \n",
       "18   6.621156e+06  4.365175e+06  4.062451e+06    92   NaN    NaN  12.7 NaN   \n",
       "19   6.621156e+06  4.365175e+06  4.062451e+06    92   NaN    NaN  12.7 NaN   \n",
       "20   6.798632e+06  4.443186e+06  4.245694e+06   360   2.5  979.7   9.7 NaN   \n",
       "21   6.664957e+06  4.359420e+06  4.105825e+06   360   NaN    NaN  10.3 NaN   \n",
       "22   6.652718e+06  4.361348e+06  4.093731e+06    94   NaN    NaN  13.1 NaN   \n",
       "23   6.652718e+06  4.361348e+06  4.093731e+06    94   6.7  983.0  12.9 NaN   \n",
       "24   6.657618e+06  4.358460e+06  4.098414e+06   514   8.2    NaN   9.6 NaN   \n",
       "25   6.644161e+06  4.345484e+06  4.083988e+06   163   NaN    NaN  12.2 NaN   \n",
       "26   6.679445e+06  4.334795e+06  4.118463e+06   140   3.9  981.8  12.4 NaN   \n",
       "27   6.765682e+06  4.322947e+06  4.203759e+06   542   6.0    NaN   9.2 NaN   \n",
       "28   6.777660e+06  4.282626e+06  4.212647e+06   822   6.8  978.9   6.0 NaN   \n",
       "29   6.774176e+06  4.278849e+06  4.208877e+06   358   2.1  978.4  10.6 NaN   \n",
       "..            ...           ...           ...   ...   ...    ...   ...  ..   \n",
       "219  7.706524e+06  4.728155e+06  5.170081e+06    20   0.6  981.6   7.2 NaN   \n",
       "220  7.727719e+06  4.730299e+06  5.191224e+06   697   4.8    NaN   5.7 NaN   \n",
       "221  6.898544e+06  4.320722e+06  4.336298e+06   694   NaN    NaN   7.6 NaN   \n",
       "222  7.753505e+06  4.746693e+06  5.217833e+06     6   1.4  981.9   8.7 NaN   \n",
       "223  7.835779e+06  4.777211e+06  5.301212e+06     6   1.2  982.7   8.7 NaN   \n",
       "224  7.850457e+06  4.785531e+06  5.316252e+06   438   8.1    NaN   6.8 NaN   \n",
       "225  6.910728e+06  4.297091e+06  4.346642e+06  1012   3.8    NaN   4.6 NaN   \n",
       "226  7.785240e+06  4.834268e+06  5.254754e+06     3   3.0  983.8  10.2 NaN   \n",
       "227  7.742187e+06  4.850544e+06  5.213136e+06   381   4.4  984.0   6.7 NaN   \n",
       "228  7.651048e+06  4.870529e+06  5.124080e+06   382   8.4  983.9   7.5 NaN   \n",
       "229  7.830467e+06  4.803851e+06  5.297623e+06    18   6.8    NaN  10.4 NaN   \n",
       "230  7.864666e+06  4.829098e+06  5.332989e+06    81   4.1  982.9  10.5 NaN   \n",
       "231  7.911914e+06  4.829834e+06  5.379721e+06    13   4.1  983.6  10.2 NaN   \n",
       "232  7.914645e+06  4.903381e+06  5.386760e+06    14   4.3  984.8   9.8 NaN   \n",
       "233  7.803701e+06  4.893621e+06  5.276576e+06     5   5.1  985.0  10.2 NaN   \n",
       "234  6.911509e+06  4.359176e+06  4.352178e+06   482   2.9  975.8   9.9 NaN   \n",
       "235  7.930279e+06  4.968392e+06  5.405845e+06    13   5.8  986.0   9.8 NaN   \n",
       "236  7.939381e+06  4.980230e+06  5.415469e+06     8   7.2  986.6  10.0 NaN   \n",
       "237  7.843185e+06  5.006640e+06  5.321978e+06    32   4.2  988.1   9.7 NaN   \n",
       "238  7.741309e+06  4.929262e+06  5.216943e+06   131   1.5  985.7   8.3 NaN   \n",
       "239  7.722293e+06  4.927700e+06  5.198036e+06   591   5.6  985.5   5.7 NaN   \n",
       "240  7.922277e+06  5.016340e+06  5.400540e+06    13  11.2  987.3   9.4 NaN   \n",
       "241  7.898903e+06  5.049259e+06  5.379221e+06   152  10.9  988.5   8.1 NaN   \n",
       "242  7.913415e+06  5.058784e+06  5.394021e+06     9   8.5    NaN   9.4 NaN   \n",
       "243  7.886881e+06  5.107658e+06  5.370342e+06    14  11.4  990.0   9.2 NaN   \n",
       "244  7.884615e+06  5.106392e+06  5.368045e+06    12  12.1  990.5   9.1 NaN   \n",
       "245  7.841739e+06  5.073054e+06  5.324067e+06    39   8.6  989.7   9.3 NaN   \n",
       "246  7.805409e+06  5.087330e+06  5.288951e+06    89   7.1  989.9   8.6 NaN   \n",
       "247  7.777413e+06  5.102239e+06  5.262081e+06    27   5.2    NaN   9.0 NaN   \n",
       "248  7.736401e+06  5.082654e+06  5.220560e+06    56   NaN  989.5   9.3 NaN   \n",
       "\n",
       "        DD  RR_1  FG    UU  \n",
       "0    155.0   NaN NaN  73.0  \n",
       "1      NaN   NaN NaN  83.0  \n",
       "2      NaN   0.0 NaN  64.0  \n",
       "3      NaN   0.0 NaN  55.0  \n",
       "4    191.0   0.0 NaN  58.0  \n",
       "5      NaN   0.0 NaN  61.0  \n",
       "6    149.0   NaN NaN  57.0  \n",
       "7      NaN   0.0 NaN  63.0  \n",
       "8    215.0   NaN NaN  85.0  \n",
       "9    201.0   NaN NaN  88.0  \n",
       "10   218.0   0.2 NaN  90.0  \n",
       "11   249.0   NaN NaN  95.0  \n",
       "12   294.0   0.4 NaN  83.0  \n",
       "13   213.0   NaN NaN  79.0  \n",
       "14   186.0   NaN NaN  84.0  \n",
       "15   241.0   NaN NaN  94.0  \n",
       "16   216.0   0.0 NaN  68.0  \n",
       "17   216.0   NaN NaN   NaN  \n",
       "18     NaN   NaN NaN   NaN  \n",
       "19     NaN   0.0 NaN  64.0  \n",
       "20   152.0   NaN NaN  76.0  \n",
       "21     NaN   0.0 NaN   NaN  \n",
       "22     NaN   NaN NaN   NaN  \n",
       "23   214.0   0.0 NaN  64.0  \n",
       "24     NaN   NaN NaN  65.0  \n",
       "25     NaN   0.0 NaN  62.0  \n",
       "26   170.0   NaN NaN  60.0  \n",
       "27   208.0   0.0 NaN  67.0  \n",
       "28     NaN   NaN NaN  76.0  \n",
       "29   120.0   NaN NaN  61.0  \n",
       "..     ...   ...  ..   ...  \n",
       "219  113.0   NaN NaN  90.0  \n",
       "220  221.0   0.0 NaN   NaN  \n",
       "221    NaN   0.0 NaN  67.0  \n",
       "222  288.0   NaN NaN  93.0  \n",
       "223  112.0   NaN NaN  93.0  \n",
       "224  126.0   NaN NaN  88.0  \n",
       "225  238.0   0.7 NaN  82.0  \n",
       "226  137.0   0.0 NaN  74.0  \n",
       "227  152.0   NaN NaN  86.0  \n",
       "228  152.0   NaN NaN  84.0  \n",
       "229  124.0   NaN NaN   NaN  \n",
       "230  183.0   0.0 NaN  74.0  \n",
       "231  135.0   NaN NaN  76.0  \n",
       "232  192.0   NaN NaN  82.0  \n",
       "233  170.0   NaN NaN  78.0  \n",
       "234  200.0   0.0 NaN  60.0  \n",
       "235  162.0   NaN NaN  82.0  \n",
       "236  153.0   NaN NaN  82.0  \n",
       "237  141.0   0.0 NaN  83.0  \n",
       "238  102.0   0.0 NaN  90.0  \n",
       "239    NaN   NaN NaN  96.0  \n",
       "240  170.0   NaN NaN  82.0  \n",
       "241  164.0   NaN NaN  87.0  \n",
       "242  168.0   NaN NaN  78.0  \n",
       "243  172.0   NaN NaN  83.0  \n",
       "244  158.0   NaN NaN  83.0  \n",
       "245  161.0   NaN NaN  85.0  \n",
       "246  158.0   NaN NaN  84.0  \n",
       "247  170.0   0.0 NaN  83.0  \n",
       "248    NaN   0.0 NaN  83.0  \n",
       "\n",
       "[249 rows x 18 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kdvh#[data_kdvh[\"sourceId\"]==\"SN42160:0\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "deletable": true,
    "editable": true
   },
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
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    "collapsed": false,
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    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Stnr</th>\n",
       "      <th>Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Type- operates from</th>\n",
       "      <th>Type- operates until</th>\n",
       "      <th>Wmo/ Call Sign</th>\n",
       "      <th>Altitude</th>\n",
       "      <th>Utm_e</th>\n",
       "      <th>Utm_n</th>\n",
       "      <th>Utm_zone</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>M_no</th>\n",
       "      <th>Municipality</th>\n",
       "      <th>C_no</th>\n",
       "      <th>County</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>10380</td>\n",
       "      <td>RØROS LUFTHAVN</td>\n",
       "      <td>F</td>\n",
       "      <td>Airport Weather Station</td>\n",
       "      <td>Aug 1957</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01288</td>\n",
       "      <td>625</td>\n",
       "      <td>312616</td>\n",
       "      <td>6943793</td>\n",
       "      <td>33</td>\n",
       "      <td>62.5773</td>\n",
       "      <td>11.3518</td>\n",
       "      <td>5025</td>\n",
       "      <td>Røros</td>\n",
       "      <td>50</td>\n",
       "      <td>Trøndelag</td>\n",
       "      <td>TRØNDELAG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>10380</td>\n",
       "      <td>RØROS LUFTHAVN</td>\n",
       "      <td>VV</td>\n",
       "      <td>Visual Weather Station</td>\n",
       "      <td>Aug 2001</td>\n",
       "      <td>Jan 2014</td>\n",
       "      <td>01288</td>\n",
       "      <td>625</td>\n",
       "      <td>312616</td>\n",
       "      <td>6943793</td>\n",
       "      <td>33</td>\n",
       "      <td>62.5773</td>\n",
       "      <td>11.3518</td>\n",
       "      <td>5025</td>\n",
       "      <td>Røros</td>\n",
       "      <td>50</td>\n",
       "      <td>Trøndelag</td>\n",
       "      <td>TRØNDELAG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>10380</td>\n",
       "      <td>RØROS LUFTHAVN</td>\n",
       "      <td>VA</td>\n",
       "      <td>Automatic Weather Station</td>\n",
       "      <td>Aug 2001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01288</td>\n",
       "      <td>625</td>\n",
       "      <td>312616</td>\n",
       "      <td>6943793</td>\n",
       "      <td>33</td>\n",
       "      <td>62.5773</td>\n",
       "      <td>11.3518</td>\n",
       "      <td>5025</td>\n",
       "      <td>Røros</td>\n",
       "      <td>50</td>\n",
       "      <td>Trøndelag</td>\n",
       "      <td>TRØNDELAG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>10380</td>\n",
       "      <td>RØROS LUFTHAVN</td>\n",
       "      <td>NSD</td>\n",
       "      <td>Precipitation Station - Daily data in reatime</td>\n",
       "      <td>Dec 2003</td>\n",
       "      <td>Jan 2004</td>\n",
       "      <td>01288</td>\n",
       "      <td>625</td>\n",
       "      <td>312616</td>\n",
       "      <td>6943793</td>\n",
       "      <td>33</td>\n",
       "      <td>62.5773</td>\n",
       "      <td>11.3518</td>\n",
       "      <td>5025</td>\n",
       "      <td>Røros</td>\n",
       "      <td>50</td>\n",
       "      <td>Trøndelag</td>\n",
       "      <td>TRØNDELAG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>10380</td>\n",
       "      <td>RØROS LUFTHAVN</td>\n",
       "      <td>VM</td>\n",
       "      <td>Manual Weather Station</td>\n",
       "      <td>Jan 2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01288</td>\n",
       "      <td>625</td>\n",
       "      <td>312616</td>\n",
       "      <td>6943793</td>\n",
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       "      <td>62.5773</td>\n",
       "      <td>11.3518</td>\n",
       "      <td>5025</td>\n",
       "      <td>Røros</td>\n",
       "      <td>50</td>\n",
       "      <td>Trøndelag</td>\n",
       "      <td>TRØNDELAG</td>\n",
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      "text/plain": [
       "      Stnr            Name Type  \\\n",
       "195  10380  RØROS LUFTHAVN    F   \n",
       "196  10380  RØROS LUFTHAVN   VV   \n",
       "197  10380  RØROS LUFTHAVN   VA   \n",
       "198  10380  RØROS LUFTHAVN  NSD   \n",
       "199  10380  RØROS LUFTHAVN   VM   \n",
       "\n",
       "                                       Description Type- operates from  \\\n",
       "195                        Airport Weather Station            Aug 1957   \n",
       "196                         Visual Weather Station            Aug 2001   \n",
       "197                      Automatic Weather Station            Aug 2001   \n",
       "198  Precipitation Station - Daily data in reatime            Dec 2003   \n",
       "199                         Manual Weather Station            Jan 2014   \n",
       "\n",
       "    Type- operates until Wmo/ Call Sign  Altitude   Utm_e    Utm_n  Utm_zone  \\\n",
       "195                  NaN          01288       625  312616  6943793        33   \n",
       "196             Jan 2014          01288       625  312616  6943793        33   \n",
       "197                  NaN          01288       625  312616  6943793        33   \n",
       "198             Jan 2004          01288       625  312616  6943793        33   \n",
       "199                  NaN          01288       625  312616  6943793        33   \n",
       "\n",
       "     Latitude  Longitude  M_no Municipality  C_no     County     Region  \n",
       "195   62.5773    11.3518  5025        Røros    50  Trøndelag  TRØNDELAG  \n",
       "196   62.5773    11.3518  5025        Røros    50  Trøndelag  TRØNDELAG  \n",
       "197   62.5773    11.3518  5025        Røros    50  Trøndelag  TRØNDELAG  \n",
       "198   62.5773    11.3518  5025        Røros    50  Trøndelag  TRØNDELAG  \n",
       "199   62.5773    11.3518  5025        Røros    50  Trøndelag  TRØNDELAG  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "path_eklima = \"/Users/ainajohannessen/Documents/Aina/skole/master/precipitation/input_data/eklima/\"\n",
    "data_meta = pd.read_csv(path_eklima + \"Metadata_absall.txt\", sep=\";\")\n",
    "data_meta[data_meta[\"Stnr\"]==10380]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#df = pd.concat([all_res['County'], all_res['yo']], axis=1, keys=['County', 'yo'])\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "source": [
    "## stuff..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#import time\n",
    "#from datetime import datetime\n",
    "#from matplotlib.legend_handler import HandlerBase\n",
    "#df = pd.concat([all_res['County'], all_res['yo']], axis=1, keys=['County', 'yo'])\n",
    "#print(df)\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",
    "#        \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/3hour]'.format(period), fontsize = 20)    \n",
    "#    \n",
    "#hourly_period = [1,3,48,72]\n",
    "#for p in hourly_period:\n",
    "#    prec_time(p)\n",
    "#\n",
    "#plt.show()\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": []
  }
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