{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DFO Nutrient Comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import sqlalchemy\n",
    "from sqlalchemy import (create_engine, Column, String, Integer, Float, MetaData, \n",
    "                        Table, type_coerce, ForeignKey, case)\n",
    "from sqlalchemy.orm import mapper, create_session, relationship, aliased, Session\n",
    "from sqlalchemy.ext.declarative import declarative_base\n",
    "from sqlalchemy import case\n",
    "import numpy as np\n",
    "from sqlalchemy.ext.automap import automap_base\n",
    "import matplotlib.pyplot as plt\n",
    "import sqlalchemy.types as types\n",
    "from sqlalchemy.sql import and_, or_, not_, func\n",
    "from sqlalchemy.sql import select\n",
    "import os\n",
    "from os.path import isfile\n",
    "import pandas as pd\n",
    "import netCDF4 as nc\n",
    "import datetime as dt\n",
    "from salishsea_tools import evaltools as et, viz_tools\n",
    "import datetime\n",
    "import glob\n",
    "import gsw\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Ammonium</th>\n",
       "      <th>Ammonium_units</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>Chlorophyll_Extracted_units</th>\n",
       "      <th>N</th>\n",
       "      <th>Si</th>\n",
       "      <th>Silicate_units</th>\n",
       "      <th>AbsSal</th>\n",
       "      <th>ConsT</th>\n",
       "      <th>Z</th>\n",
       "      <th>dtUTC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>5.28</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>6.6</td>\n",
       "      <td>13.6</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.61</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.2</td>\n",
       "      <td>45.0</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.5</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>23.5</td>\n",
       "      <td>47.4</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.5</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>28.0</td>\n",
       "      <td>50.2</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.3</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>26.5</td>\n",
       "      <td>49.1</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.4</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Month   Day  Hour    Lat      Lon  Pressure  Depth  Ammonium  \\\n",
       "0  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   12.0       NaN   \n",
       "1  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   21.5       NaN   \n",
       "2  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   30.5       NaN   \n",
       "3  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   52.3       NaN   \n",
       "4  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   75.4       NaN   \n",
       "\n",
       "  Ammonium_units  Chlorophyll_Extracted Chlorophyll_Extracted_units     N  \\\n",
       "0           None                   5.28                      mg/m^3   6.6   \n",
       "1           None                   0.61                      mg/m^3  21.2   \n",
       "2           None                    NaN                      mg/m^3  23.5   \n",
       "3           None                    NaN                      mg/m^3  28.0   \n",
       "4           None                    NaN                      mg/m^3  26.5   \n",
       "\n",
       "     Si Silicate_units  AbsSal  ConsT     Z               dtUTC  \n",
       "0  13.6         umol/L     NaN    NaN  12.0 1982-07-16 01:21:00  \n",
       "1  45.0         umol/L     NaN    NaN  21.5 1982-07-16 01:21:00  \n",
       "2  47.4         umol/L     NaN    NaN  30.5 1982-07-16 01:21:00  \n",
       "3  50.2         umol/L     NaN    NaN  52.3 1982-07-16 01:21:00  \n",
       "4  49.1         umol/L     NaN    NaN  75.4 1982-07-16 01:21:00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PATH= '/data/eolson/MEOPAR/SS36runs/CedarRuns/ISink/'\n",
    "start_date = datetime.datetime(2015,1,1)\n",
    "end_date = datetime.datetime(2015,5,30)\n",
    "flen=10\n",
    "namfmt='long'\n",
    "filemap={'nitrate':'ptrc_T','silicon':'ptrc_T','diatoms':'ptrc_T','ciliates':'ptrc_T',\n",
    "         'flagellates':'ptrc_T'}\n",
    "fdict={'ptrc_T':1,'grid_T':1}\n",
    "df1=et.loadDFO()\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data=et.matchData(df1,filemap, fdict, start_date, end_date, namfmt, PATH, flen)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "import pickle\n",
    "data=pickle.load(open('/data/eolson/MEOPAR/SS36runs/calcFiles/evalMatches/dataDFO.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TJ0/EPmPGjBHOEm+ONHLarzAii8Ybi4aGBl1dXVmjRg0GBgYyICCALVu2ZMuWLdmnTx8x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\nxKMl/IfFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b56d588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (6,6))\n",
    "viz_tools.set_aspect(ax, coords = 'map')\n",
    "ax.plot(data['Lon'], data['Lat'], 'ro',label='data')\n",
    "ax.plot(data.loc[(data.Lon < -123.5) & (data.Lat < 48.6),['Lon']], \n",
    "        data.loc[(data.Lon < -123.5) & (data.Lat < 48.6),['Lat']], \n",
    "        'bo', label = 'Juan de Fuca')\n",
    "\n",
    "ax.plot(data.loc[data.Si>75,['Lon']],data.loc[data.Si>75,['Lat']],'*',color='y',label='high Si')\n",
    "iSaa=(data.Lon>-123.7)&(data.Lon<-123.3)&(data.Lat>48.5)&(data.Lat<48.7)\n",
    "ax.plot(data.loc[iSaa,['Lon']],data.loc[iSaa,['Lat']],'*',color='m',label='Saanich')\n",
    "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n",
    "viz_tools.plot_coastline(ax, grid, coords = 'map')\n",
    "ax.set_ylim(48, 50.5)\n",
    "ax.legend()\n",
    "ax.set_xlim(-125.7, -122.5);\n",
    "data.drop(data.loc[iSaa].index.values,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nitrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nitrate\n",
      "z<15 m:\n",
      "  N: 76\n",
      "  bias: -2.7880771945809073\n",
      "  RMSE: 5.6853853925544895\n",
      "  WSS: 0.7633127129092379\n",
      "15 m<=z<22 m:\n",
      "  N: 24\n",
      "  bias: -1.7404224936167374\n",
      "  RMSE: 3.4188357884580998\n",
      "  WSS: 0.5908285326714213\n",
      "z>=22 m:\n",
      "  N: 228\n",
      "  bias: -3.056236578958078\n",
      "  RMSE: 3.4854615536997806\n",
      "  WSS: 0.7461024182826334\n",
      "all:\n",
      "  N: 328\n",
      "  bias: -2.897823008040824\n",
      "  RMSE: 4.0975012773676465\n",
      "  WSS: 0.8762318844327222\n"
     ]
    }
   ],
   "source": [
    "N_s, modmean_s, obsmean_s, bias_s, RMSE_s, WSS_s = et.stats(data.loc[data.Z<15,['N']],data.loc[data.Z<15,['mod_nitrate']])\n",
    "N_i, modmean_i, obsmean_i, bias_i, RMSE_i, WSS_i = et.stats(data.loc[(data.Z>=15)&(data.Z<22),['N']],data.loc[(data.Z>=15)&(data.Z<22),['mod_nitrate']])\n",
    "N_d, modmean_d, obsmean_d, bias_d, RMSE_d, WSS_d = et.stats(data.loc[data.Z>=22,['N']],data.loc[data.Z>=22,['mod_nitrate']])\n",
    "N, modmean, obsmean, bias, RMSE, WSS = et.stats(data.loc[:,['N']],data.loc[:,['mod_nitrate']])\n",
    "print('Nitrate')\n",
    "print('z<15 m:')\n",
    "print('  N: {}\\n  bias: {}\\n  RMSE: {}\\n  WSS: {}'.format(N_s,bias_s,RMSE_s,WSS_s))\n",
    "print('15 m<=z<22 m:')\n",
    "print('  N: {}\\n  bias: {}\\n  RMSE: {}\\n  WSS: {}'.format(N_i,bias_i,RMSE_i,WSS_i))\n",
    "print('z>=22 m:')\n",
    "print('  N: {}\\n  bias: {}\\n  RMSE: {}\\n  WSS: {}'.format(N_d,bias_d,RMSE_d,WSS_d))\n",
    "print('all:')\n",
    "print('  N: {}\\n  bias: {}\\n  RMSE: {}\\n  WSS: {}'.format(N,bias,RMSE,WSS))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f194a8d57b8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FC1tUVzc85WdL9bnZg7wveuQAUEZS9UL7DylLyXvCyYaYh5LxHhkRWBrvRcc2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\nGhrykCICFF6yOeViBL1C/4A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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b502320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (8,8))\n",
    "ps=et.varvarPlot(ax,data,'N','mod_nitrate','Z',(15,22),'z','m',('mediumseagreen','darkturquoise','navy'))\n",
    "ax.legend(handles=ps)\n",
    "ax.set_xlabel('Obs')\n",
    "ax.set_ylabel('Model')\n",
    "ax.set_title('NO$_3$ ($\\mu$M)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nitrate, z<15\n",
      "Feb-Mar:\n",
      "  N: 8\n",
      "  bias: -1.689829902648924\n",
      "  RMSE: 4.030407130591838\n",
      "  WSS: 0.5983486896736766\n",
      "April:\n",
      "  N: 67\n",
      "  bias: -2.8231060936379784\n",
      "  RMSE: 5.784050320202453\n",
      "  WSS: 0.7301890764029948\n",
      "May-Jun:\n",
      "  N: 1\n",
      "  bias: -9.22711929321289\n",
      "  RMSE: 9.22711929321289\n",
      "  WSS: 0.0\n",
      "Sep-Oct:\n",
      "  N: 0\n",
      "  bias: nan\n",
      "  RMSE: nan\n",
      "  WSS: nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eolson/anaconda3/envs/python36/lib/python3.6/site-packages/numpy/core/fromnumeric.py:2957: RuntimeWarning: Mean of empty slice.\n",
      "  out=out, **kwargs)\n",
      "/home/eolson/anaconda3/envs/python36/lib/python3.6/site-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "/data/eolson/results/MEOPAR/tools/SalishSeaTools/salishsea_tools/evaltools.py:917: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  RMSE=np.sqrt(np.sum((mod-obs)**2)/N)\n",
      "/data/eolson/results/MEOPAR/tools/SalishSeaTools/salishsea_tools/evaltools.py:918: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  WSS=1.0-np.sum((mod-obs)**2)/np.sum((np.abs(mod-obsmean)+np.abs(obs-obsmean))**2)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f194a7d1160>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DvPfee8ydO5e77ror5GOqASsihV5OTg6tWrVixYoVTJs2jQcffNB1JBERT0tJSeGxxx4j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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194bf06cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9a2FnRQfbGMZhv7mweyzfA+6gkyjRiBuRGKSqftAVT/8IvLI5/sBzYeO3gGurau/+nAe1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b7cf128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize = (24,6))\n",
    "yy=2015\n",
    "for axi in ax:\n",
    "    axi.plot(np.arange(0,30),np.arange(0,30),'k-')\n",
    "ps=et.varvarPlot(ax[0],data.loc[(data.Z<15)&(data.dtUTC<=dt.datetime(yy,4,1)),:],'N','mod_nitrate',cols=('crimson','darkturquoise','navy'))\n",
    "ax[0].set_title('Feb-Mar')\n",
    "ii1=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,5,1))&(data.dtUTC>dt.datetime(yy,4,1))\n",
    "ps=et.varvarPlot(ax[1],data.loc[ii1,:],'N','mod_nitrate',cols=('crimson','darkturquoise','navy'))\n",
    "ax[1].set_title('April')\n",
    "ii2=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,9,1))&(data.dtUTC>dt.datetime(yy,5,1))\n",
    "ps=et.varvarPlot(ax[2],data.loc[ii2,:],'N','mod_nitrate',cols=('crimson','darkturquoise','navy'))\n",
    "ax[2].set_title('May-Aug')\n",
    "ii3=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,12,1))&(data.dtUTC>dt.datetime(yy,9,1))\n",
    "ps=et.varvarPlot(ax[3],data.loc[ii3,:],'N','mod_nitrate',cols=('crimson','darkturquoise','navy'))\n",
    "ax[3].set_title('Sep-Nov')\n",
    "\n",
    "print('Nitrate, z<15')\n",
    "print('Feb-Mar:')\n",
    "et.printstats(data.loc[(data.Z<15)&(data.dtUTC<=dt.datetime(yy,4,1)),:],'N','mod_nitrate')\n",
    "print('April:')\n",
    "et.printstats(data.loc[ii1,:],'N','mod_nitrate')\n",
    "print('May-Jun:')\n",
    "et.printstats(data.loc[ii2,:],'N','mod_nitrate')\n",
    "print('Sep-Oct:')\n",
    "et.printstats(data.loc[ii3,:],'N','mod_nitrate')\n",
    "fig,ax=plt.subplots(1,1,figsize=(24,1))\n",
    "plt.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f194b3f5908>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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J3k1pIwgCGjVqlO9g5Pnz59i+fTuGDRuGbdu2ITAwEAcOHMDhw4exa9cubNu2DVu3bsWK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\nT+wkahbahPBDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194a88c9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (8,8))\n",
    "viz_tools.set_aspect(ax, coords = 'map')\n",
    "ax.plot(data['Lon'], data['Lat'], 'ro',label='data')\n",
    "dJDF=data.loc[(data.Lon<-123.6)&(data.Lat<48.6)]\n",
    "ax.plot(dJDF['Lon'],dJDF['Lat'],'b.',label='JDF')\n",
    "dSJGI=data.loc[(data.Lon>=-123.6)&(data.Lat<48.9)]\n",
    "ax.plot(dSJGI['Lon'],dSJGI['Lat'],'c.',label='SJGI')\n",
    "dSOG=data.loc[(data.Lat>=48.9)&(data.Lon>-124.0)]\n",
    "ax.plot(dSOG['Lon'],dSOG['Lat'],'y.',label='SOG')\n",
    "dNSOG=data.loc[(data.Lat>=48.9)&(data.Lon<=-124.0)]\n",
    "ax.plot(dNSOG['Lon'],dNSOG['Lat'],'m.',label='NSOG')\n",
    "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n",
    "viz_tools.plot_coastline(ax, grid, coords = 'map')\n",
    "ax.set_ylim(48, 50.5)\n",
    "ax.legend()\n",
    "ax.set_xlim(-125.7, -122.5);\n",
    "dNSOGN=data.loc[(data.Lat>=49.7)&(data.Lon<=-124.0)]\n",
    "dNSOGS=data.loc[(data.Lat<49.7)&(data.Lat>=49.1)&(data.Lon<=-124.0)]\n",
    "dNSOGW=data.loc[(data.Lat>=49.1)&(data.Lon<=-124.5)]\n",
    "dNSOGE=data.loc[(data.Lat>=49.1)&(data.Lon>-124.5)&(data.Lon<=-124.0)]\n",
    "dBaynes=data.loc[(data.Lat>=49.35)&(data.Lat<49.7)&(data.Lon<-124.65)&(data.Lon>-125.0)]\n",
    "\n",
    "ax.plot(dNSOGE['Lon'],dNSOGE['Lat'],'go',ms=12,alpha=.03,label='NSOGE')\n",
    "ax.plot(dNSOGN['Lon'],dNSOGN['Lat'],'kx',ms=8,label='NSOGE')\n",
    "ax.plot(dBaynes['Lon'],dBaynes['Lat'],'k+',ms=8,label='Baynes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 35)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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58qcJnRcFxs7NZ+br5WQKdBGRHPm2ZFUj1GtZZnV15+sZPPjFk0Jz/JayQlaa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\nDkhDj4iI6IA09IiIiA74CbuzzVbhPoVWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194bacec50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (8,8))\n",
    "ps1=et.varvarPlot(ax,dJDF,'N','mod_nitrate',cols=('b','darkturquoise','navy'),lname='SJDF')\n",
    "ps2=et.varvarPlot(ax,dSJGI,'N','mod_nitrate',cols=('c','darkturquoise','navy'),lname='SJGI')\n",
    "ps3=et.varvarPlot(ax,dSOG,'N','mod_nitrate',cols=('y','darkturquoise','navy'),lname='SOG')\n",
    "ps4=et.varvarPlot(ax,dNSOG,'N','mod_nitrate',cols=('m','darkturquoise','navy'),lname='NSOGF')\n",
    "ax.legend(handles=[ps1[0][0],ps2[0][0],ps3[0][0],ps4[0][0]])\n",
    "ax.set_xlabel('Obs')\n",
    "ax.set_ylabel('Model')\n",
    "ax.set_title('NO$_3$ ($\\mu$M)')\n",
    "ax.set_xlim(0,35)\n",
    "ax.set_ylim(0,35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-40, 20)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mtdzaNoNkgkm6xZy084xzJNG5BSsLSZI0/aZ5ZHbzmEZgLAPbSbtGu5FEJUmS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\n/3zF323A/s9PAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194a981358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (17,8))\n",
    "cols=('crimson','red','orangered','darkorange','gold','chartreuse','green','lightseagreen','cyan','darkturquoise','royalblue',\n",
    "      'lightskyblue','blue','darkblue','mediumslateblue','blueviolet','darkmagenta','fuchsia','deeppink','pink')\n",
    "ii0=start_date\n",
    "for ii in range(0,int((end_date-start_date).days/30)):\n",
    "    iii=(data.dtUTC>=(start_date+dt.timedelta(days=ii*30)))&(data.dtUTC<(start_date+dt.timedelta(days=(ii+1)*30)))\n",
    "    ax[0].plot(data.loc[iii,['mod_nitrate']].values-data.loc[iii,['N']].values, data.loc[iii,['Z']].values, \n",
    "        '.', color = cols[ii],label=str(ii))\n",
    "    ax[1].plot(data.loc[iii,['mod_silicon']].values-data.loc[iii,['Si']].values, data.loc[iii,['Z']].values, \n",
    "        '.', color = cols[ii],label=str(ii))\n",
    "for axi in (ax[0],ax[1]):\n",
    "    axi.legend(loc=4)\n",
    "    axi.set_ylim(400,0)\n",
    "    axi.set_ylabel('depth (m)')\n",
    "ax[0].set_xlabel('model - obs N')\n",
    "ax[0].set_xlim(-20,20)\n",
    "ax[1].set_xlabel('model - obs Si')\n",
    "ax[1].set_xlim(-40,20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Silicate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nitrate\n",
      "z<15 m:\n",
      "  N: 76\n",
      "  bias: -0.17663343479758709\n",
      "  RMSE: 9.205546465679362\n",
      "  WSS: 0.7889228481979149\n",
      "15 m<=z<22 m:\n",
      "  N: 24\n",
      "  bias: 1.198184906641643\n",
      "  RMSE: 6.3276894086130415\n",
      "  WSS: 0.7120188792564173\n",
      "z>=22 m:\n",
      "  N: 228\n",
      "  bias: -3.526008158232031\n",
      "  RMSE: 5.763415481133185\n",
      "  WSS: 0.9018266437156519\n",
      "all:\n",
      "  N: 328\n",
      "  bias: -2.4042608639089096\n",
      "  RMSE: 6.756843102962755\n",
      "  WSS: 0.9125335804016701\n",
      "obs Si < 50:\n",
      "  N: 240\n",
      "  bias: -0.669873097896577\n",
      "  RMSE: 6.24813919933905\n",
      "  WSS: 0.8561078326156601\n"
     ]
    }
   ],
   "source": [
    "print('Nitrate')\n",
    "print('z<15 m:')\n",
    "et.printstats(data.loc[data.Z<15,:],'Si','mod_silicon')\n",
    "print('15 m<=z<22 m:')\n",
    "et.printstats(data.loc[(data.Z>=15)&(data.Z<22),:],'Si','mod_silicon')\n",
    "print('z>=22 m:')\n",
    "et.printstats(data.loc[data.Z>=22,:],'Si','mod_silicon')\n",
    "print('all:')\n",
    "et.printstats(data,'Si','mod_silicon')\n",
    "print('obs Si < 50:')\n",
    "et.printstats(data.loc[data.Si<50,:],'Si','mod_silicon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 80)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+nWuvvZZt27axbds2fv7zn/Pss89y66238t3vfjeziy0BCugiIkWgoaGZ9vYQoZCjvT1E\nQ0Nz1s69aNEizjzzTM4777yUx4wbN45Fixbx29/+lltvvZXf//73fPrTn+bxxx/v9dwffPAB8+bN\nY9myZRx55JFpvwYwduxYampqCAQCTJo0idmzZ2Nm1NTU9LoNaqnSHLqISBGor69m0KAg7e0hBg0K\nUl9fnZXz3nPPPezYsYPbb7+91+Puv/9+HnnkEV5++WVOO+00lixZwtlnn83RRx+d8j0dHR3MmzeP\nSy+9lIsuuijt12IqKiri3wcCgfjjQCBAZ2dnupdYMjwL6GZ2EvBAwlMnAP8OrIo+Xw00Axc75/Z7\n1Q4RET+oqxvN2rXzaWhopr6+mrq60QM+Z1NTE7feeivr1q0jEOh9wHb//v1cf/31TJs2DTPr89zO\nOa688kpOPvnkHkP5vb0m/efZkLtz7lXn3FTn3FRgBnAQeBi4AVjrnBsPrI0+FhGRPtTVjWbJkk9l\nJZgD3H777ezbt49Zs2YxdepUvvSlL6U89le/+hXz58+npqaGyZMnx/979NFHkx7/3HPPce+99/K7\n3/0unni3evXqPl+T/jPnnPcfYnY28E3n3EwzexWod87tNrMRQINz7qTe3l9bW+s2bNjgeTtFRHJl\n69atnHzyyfluhhSAZH8LZtbknKvN5Dy5Sor7HHB/9PvjnHO7o9/vAY5L9gYzW2hmG8xswzvvvJOL\nNoqIiBQtzwO6mQ0CPgP8svtrLjI8kHSIwDm33DlX65yrPfbYYz1upYiISHHLRQ/9HOBF59zb0cdv\nR4faiX7dm4M2iIiI+FouAvolHB5uB3gMWBD9fgGQPKNCRMTncpHDJIUtm38DngZ0M6sEzgJ+lfD0\nzcBZZvY6MCf6WESkpAwePJiWlhYF9RLmnKOlpYXBgwdn5XyeFpZxzrUCVd2eawFme/m5IiKFbtSo\nUbz55pso6be0DR48mFGjRmXlXKoUJyKSB+Xl5YwdOzbfzRAfUS13ERERH1BAFxER8QEFdBERER9Q\nQBcREfEBBXQREREfUEAXERHxAQV0ERERH1BAFxER8QEFdBERER9QQBcREfEBBXQREREfUEAXERHx\nAQV0ERERH1BAFxER8QEFdBERER9QQBcREfEBBXQREREfUEAXERHxAQV0ERERH1BAFxER8QEFdBER\nER9QQBcREfEBBXQREREfUEAXERHxAQV0ERERH1BAFxER8QEFdBERER9QQBcRkaLX2LiLpUvX0di4\nK99NyVtbynL6aSIiIlnW2LiL2bNX0d4eYtCgIGvXzqeubnTJtUU9dBERKWoNDc20t4cIhRzt7SEa\nGppLsi0K6CIiUtTq66sZNChIMGgMGhSkvr66JNtizrmcfVh/1dbWug0bNuS7GSIiUqAaG3fR0NBM\nfX113obbs9kWM2tyztVm9B4FdBERKWWFdDMQ05+ArqQ4EREpWQNNYiukmwEFdBERKVnJktjSDcyF\nlF0PSooTEZESNpAktkLKrgf10EVEpITV1Y1m7dr5/Ro2j90MxHro+cyuByXFiYiI9JtXc+hKihMR\nEcmhurrReU+Gi9EcuoiIiA8ooIuIiPiAArqIiIgPKKCLiIj4gAK6iIiID3ga0M3saDN70My2mdlW\nM6szs2Fm9rSZvR79OtTLNoiIiJQCr3votwFPOOcmAFOArcANwFrn3HhgbfSxiIhI2hobd7F06Toa\nG3fluykFw7N16GZ2FHAGcDmAc64daDez84H66GErgQbgeq/aISIi/lJoNdQLhZc99LHAO8DdZrbR\nzFaYWSVwnHNud/SYPcBxHrZBRER8Jhs11NPt4RfTSICXleLKgOnAPzvn/mBmt9FteN0558wsae1Z\nM1sILAQYM2aMh80UEZFiMtAa6un28IttJMDLHvqbwJvOuT9EHz9IJMC/bWYjAKJf9yZ7s3NuuXOu\n1jlXe+yxx3rYTBERKSaxDVW+/e1ZrF07HyCjXnS6PfxC202tL5710J1ze8xsl5md5Jx7FZgNvBL9\nbwFwc/Tro161QURE/ClWQ3358ia+8pXVhMNhKirK0upFp9vDz+9uaoMqM32H15uz/DPwMzMbBLwB\nfJHIqMAvzOxKYAdwscdtEBGRHPNqF7Lun3HNNavp7AwD0NbWSUNDc5+fl+6WqQPZWnXgKoZk+g5P\nA7pzbhOQbPu32V5+roiI5E+u5p4bGpoJhQ6nYQUCgbR70enukpa/3dTaDmT6DlWKExGRrMrV3HN9\nfTUVFUECAaO8PMCPfnRuQSetZaa9NdN3aD90ERHJqmzNPacatk98Pn9D4oVHAV1ERAake+DNxtxz\nqmH7ZM8vWfIpD66q+Cigi4hIv6UKvJnOPXe/KUg2bN/b87mSi2S//lJAFxGRfstGgE12U5Bq2D6f\nS8kKvdCMArqIiPRbJgE2Ve822U3BkiWfSjpsn8+lZPkeHeiLArqIiPRbugG2t95tqpuCVMP2+VpK\nlt9CM31TQBcRkQFJJ8D21rvNbwGX9BV6OxXQRURKUK6Tu/rq3cZuCmK7mxViwIR8FprpmwK6iEiJ\nyUdyVzq920JPOit0CugiIiUmX8ldffVuCz3prNCp9KuISImJDX8Hg1ZQyV19tSs2HJ/uNqmlxpxz\nfR+VZ7W1tW7Dhg35boaIiG8UaoGU3sq9ltJwvJk1OeeSbW6WkobcRURKUKEmd6Vql4bj+6YhdxER\nKXiFOk1QSNRDFxGRglfoa8ALgQK6iIgUhUKdJigUGnIXERHxAQV0ERERH1BAFxER8QEFdBERER9Q\nQBcRkYylW7VN1d1yR1nuIiKSkXSrtpVadbd8Uw9dREQykqxq20COk+xQQBcR8bnuw94DHS5Pt2qb\nqrvlljZnERHxse7D3suWzWXx4ieSDoMnbowC9Dpcnu7mLoW6CUyh0+YsIiI+NJCg2H3Y+6GHXkm6\nyUn3wL9gwZReN0NJt2qbqrvljgK6iEgBG2hiWWzYO/b+efMmsm7dzvjjWG+8e+AHurwvneFy9cbz\nSwFdRKSADXTb0GSbmtTUDO8ReLsH/vnzpzB//pSUe5N3f14Z7fmngC4iUsC6B9r+JJZ1H/ZONgye\najez7selCtzarzz/FNBFRApYLrcNTWe+O1XgzsaNhwyMArqIiKQtVeDWfuX5p2VrIiIFrK+56Xwk\noin5zXtatiYiUiTSDYq9zU3nKxFNS9EKkwK6iEiOZRKIe5ubViKaJFJAFxHJsUwCcbK56Vjvvqrq\nCCWiSZwCuohIjmWaEZ44xJ2slGtLy0HNZ4sCuohIrg0kI7x7776l5SBLlnzKw9ZKsVBAFxHJg/4m\nlmm9t6SigC4iUiAS58Z7G0ZfsGAKAPPnT9Ewu8QpoIuIFIDY3HhbWyfhMAQCRkVFz+1NE+fP58+f\nkudWSyEJ5LsBIiKlpLFxF0uXrqOxcVeX5268sYG2thDhcOS5cPhwBnxMsuz4gX5+svZIcVIPXUQk\nR5KtPwe69MzNwLlID737HPlA58+TZcgvXvyEdkjzCQV0EZEcSexht7WFuPHGBk44YSjt7aHoMDvM\nmXMC8+ZNTDqHPtB66d17+A899IoK0/iIArqISI7EetiRoXXHmjVvEAxGZj4DAaioKOPGG+t7DaoD\nKbvavYc/b95E1q3bqYx5n/A0oJtZM3AACAGdzrlaMxsGPABUA83Axc65/V62Q0SkENTVjWbZsrn8\nx388x5/+tJ9wGMLhMGZQVhZg2bK5nm+P2r2HX1MzXBut+EQueuiznHPvJjy+AVjrnLvZzG6IPr4+\nB+0QEcmrxsZdLF78BG1tIRI3unQukgTX0nLQ8zZ07+FroxX/yMeQ+/lAffT7lUADCugiUuSS7Z7W\n2LiLVas2A5E147E57HDYEQgYtbUj2Lz5bTo7wxrylgHzOqA7YI2ZhYA7nXPLgeOcc7ujr+8BjvO4\nDSIinkqVvT5r1kra2kIA3HXXJhYv/iSBgOEcVFREsswBDXlLVngd0E93zr1lZsOBp81sW+KLzjln\nZi7ZG81sIbAQYMyYMR43U0Sk/1KtD29vD8WP6egI8f3vNxIOhwkEDs+Xa/23ZIunAd0591b0614z\nexg4FXjbzEY453ab2Qhgb4r3LgeWA9TW1iYN+iIihaCq6gjMjEDAdRk6j2W0Q2R9eTgcJhwG58Js\n3Lg7o33RRfriWaU4M6s0syGx74GzgS3AY8CC6GELgEe9aoOIiJcaG3dx9dW/4atffZxw2BEMHu55\n19WN5gc/OIdg0AAws/j7nIMVKzbGE+QS16Wrxy795WUP/Tjg4egfcRnwc+fcE2b2AvALM7sS2AFc\n7GEbREQ8EetdHzrUGc9YN6NLpnri96FQ14HGzs4w69f/BYisQY+tS1+3bqd66tIvngV059wbQI+d\nA5xzLcBsrz5XRGQgumerJ8teh8Pz5onLz8rKAklLtSYG/e7MIgVlPvwwUvpVFdukv1QpTkT6LVWw\nK7bPS9y2NLG2eWKt87KyAF/84tT4lqX19dUEgwFCocOJb9174bFCLqtWbeauuzbR2Xl48xU4XLf9\nww87gUhPXcvXpL8U0EWkX3Kd0DXQz0t1M5B43kDACIXC8Z5yYq3zUCjEnXc2sXLl5vhnX3HFVO64\noyl+rlAo3KN3HZtPj61Dj+11XlV1BP/xH8+xffvhQpknnDCUVasuVO9c+kXbp4pIv2RjK89cfF4s\nca2+fiXf+MYzzJ69qkviWeJ5QyFHIBAgGLR4rfNBg4LE8tmco8tnz58/hYqKYPxcgYBRVXVE0nbU\n1Y1myZJPsXDhDOrrq2lpOchFF03scsy//utMBXPpN/XQRaRfBrqVZyqpetLdP6+q6giWLl3X6/B7\nY+OuLsVdANraOrnxxob4JiixofNwODKs/sMfntNlp7OamuHxIfNQqGtFt7q60TzzzAJuueV5fv3r\nV3EOFi9+gpqa4b22KXGk4brrZrJp027mzZvIwoUzsvIzlNKkgC4i/TLQrTyTSQx2wWCAK644PGed\n+Hnd57pTDb+vWrW5SzAHCIdhzZo/x7PJgXgP3Iwewbj7kHmyLU1PPfVj/PrXrxIO970NafeRhqOP\nruDJJ78w0B+diIbcRaT/YsPI2Rom7h7s7ryzqcsQeezzWloO9mv4feTIIQQC1iXwNjQ009ERxrlI\nNbdUa8F7u9bY6EEwaJSVBdi5872U68kTj1UCnGSTArpIiWts3MXSpesKoqBJLNilmrPuflxfQXH+\n/Cnx8w0aFOTf//1vKSsLYAbBYGSJWVXVEYTDkez0cBiefvqNHvPs0PvPKTZ6cNVV03EOfvKTF5Oe\nI/HYb397ltabS1ZpyF2khBVa6dHEZV53370p5S5k6Q7319WNpqFhQfw46Dq8DpHiL5HCLpHHiTcR\nibumJdt8JfHzI5/VTCgU7jJykKxt2rJUvKCALlLCkmWO5zvQ9DVn3f24dM8HsHTpOjo7I8PrnZ3h\n+PkrKspoa4tta9pzLfiqVZvjxWHa20OsWrWZlSs397gR8ipRUCQdCugiJayQA5AXvdhk19s92S4x\nwx0ivfMVKzbGK72VlUVmKpPdCHmRKCiSLnOp6hEWkNraWrdhw4Z8N0PEl3Jd7W0gemtruteR6fVe\nffVvuhSPueCCk7juupkFNVUh/mNmTc652kzeox66SIkrlvnc3ub7M8kFyPR69+z5IOk51BOXQqMs\ndxGPNba2snTPXhpbW/PdlKKWqlJcY+Mubryxgba2To+q1lnSx6mWsRXSqgEpLeqhi3iosbWV2a+/\nQbtzDNpjrB1/AnWVlfluVlFKNv8d65lHEtr6v7lJY+MubvlpE3/p6ODKBVNZeOb4+GvHH9/197Vv\n38GUFeq6jxQs+83FtEw8ivohlfq9i+cU0EU81HCglXbnCAHtztFwoLUo/mFvbG2l4UBrQQWiZMPc\nS5euo709lp1uzJkzNl7SNV2Njbv42/qVdLRHKsqt/+9t8Pjn4kF9/vwprFixkc7OyLq23/9+J88+\nu5OKirIeQ/uJowht7SG+8vBm3NATdTMnOaEhdxEP1Q+pZJAZQWCQGfVDCv8f9Niowjd272H2628U\n1FRB92HuxAIzFRXBjIM5EK0Ul1Aetj3MT1duig+dA3zpS9Pi69aBLvuWJ0psT7A8SHhGVZebOREv\nqYcu4qGY8FhZAAAgAElEQVS6ykrWjj+h4Hq7vcnHqEJ/M+2zkZxWX19NeXkw3kMHaLp/G/X//Wp8\nM5Zly+YyeHDyterd2x5fAnfa8Swedigy3VIkN3NS3BTQRTxWV5n9QO7lUrP6IZUM2mM5C0T9rVaX\n+DNYsuRT/f78urrR/E/DAq786mq2Nu0BB+HOMGEOV41raTmYdK06kLTtsfbXFODUhfiXArpIkfG6\nXGu2RhWS3XQkm5vvT7W6bP8M6upG89MfnBs/Z1lZAOfosV0qdN2NLTaHn6rtXtzMiaSigC5SZHJR\nrnWggShp7fNThiXN+O9PtTovfgbdh+9jn9NbT7yQK+1J6VFAFykyxRBEkq4ZH1uRdG6+P/PgXv0M\nuhed6asnrgIzUkgU0EWKTDEEkaQBN2FuPvjSPnY+9i6NZ4+PB8ZcJ8NlorcbiGKptCf+p1ruIuKJ\nVHPoq575E3df/Gs6U5RwTbVJykA/24vrEfGKarmLSMFI1nOtq6yk4eX36EwyfH246ltntOpbZG15\npglvXiUNqicuhU6FZUQ8Voq13HurZ55YfCUQMB55ZBvLlzfF593DkYJshMP9q8uequZ7X+0SKXbq\noYt4qBRruffVQ47Nf99yy/M88sg21q//C+vX/4XrrpvJoEHBLj30/iS8pZrvbmzcxZmzV9LeFmJQ\nRZDfrV2gHrf4igK6iIeKtZb7QKSzpKyubjQHD7Z3eW7Tpt1Ji7dkGnRTJcw98PgmDrV1Qtg41NbJ\njx/+PduPPY5pVeOYPLR6QNcsUggU0EU8lPOqawVQmSzdJWXz5k3kqafe6PI42Tx1f5LRkp3nyJoO\nAmUQ7nQEyuDl4ZvZsS1EeaCMZXVXK6hL0VNAF/FQLmu5F8rwfrpLyhYunAHAQw+9wrx5E+OPE2Uz\nwe3iOdP55S2vsWfLYI6ddJAh4w4QxtER7mRjy3YFdCl6CugiHstV+c9CGt5PNyN84cIZSQM5RIL5\njTc2xOfUe6sIl04v/sCgY2n+23NpP8NxEDjq3ac4om0P5YEyplWNy+j6RAqRArqIT3g5vJ+rNdiN\njbtYtWozr7zyLs89t5Nw2OEcXXY3S/aedHrxDQda6XAQxggBM8d9hhmhXZpDF99QQBfxCa+G973e\nDCbxc+rrV9KesI0pRIL5nDknpNzrPN267t1veP5x+CjqKk/K+nWI5IsCuoiPeDG8n4vNYGKf09ER\n6vF8MBhIGcwh/SS8YtybXiQTCugi0qtcbQZTX19NeXmwSw89GDT+5XuzaRhbAa3JcwL6SsLrPl2g\nQC5+pVruItKnTObQBzLfHptD37OnleOPr2TaZ09i8bBD8WHyTDP3czVdIJJtquUuIlmVGJyXLPlU\nWscPJIB2z45fumcv7bs/zDhzf/nyJh566BWOOKI8J9MFIoVAAV1EkupPcE6cbz90qJNVqzanHUCT\n9ez7k7l/2WW/4mc/ezn+uKwsQDCYOktexC96DehmNqy3151z+7LbHBEpFP1Jhquvr6asLEAoFMI5\nuOuuTcyfP6XPee1UNw+ZJrJdf/2aLsEcYPz4YXzhC6cwenoF2499lSH7Q1qmJr7UVw+9CXCAJXnN\nASdkvUUiRaIQyqx6qb/JcFOmHMcLL/wF5yAUCve4EUgWvHu7eUg3c7+xcRe33vp8j+dPOukYzvvy\naBY3/piObZ0q9Sq+1WtAd86NzVVDRIpJoZRZHYgt+5vZ2LI9ZWGVdEu4xhzezzzUazGYZME7G5n0\nDQ3NdE/yDQaN6677Gza2vEpHuFOlXsXX0ppDNzMDLgXGOue+bWZjgOOdc+s9bZ1IgSqkMqv9sWV/\nc6THGu69x5puCVeIBNRYmVYzqK39GNOnj+hxXLLgnenNQzL19dUMHlxGW1snAKef/n+4+ebZ1NWN\nZsj+EIYBDsNU6lV8Kd2kuP8CwsCZwLeBA8BDwCc8apdIQcv1LmrZtrFle9Z7rFVVRxAOR753Dl58\ncQ9NTbtZuXJzl4S6VME7k5uHZHq7KXjj/d3s32bsfWUYzDiG1RPeVg9dfCfdgH6ac266mW0EcM7t\nN7NBHrZLpKAVe9WxaVXjKA+UxXvoiT3W/uYGtLQcxCwSzAE6OyPRPVlC3UCDdyqpzvvzp1/g5a9/\nFNcRgp+/w/+t/IBPjSiuURWRvqQb0DvMLEgkEQ4zO5ZIj12kZOVqF7Vs6RKoh1azrO7qHnPoA8kN\nqK+vJhgMxAM5RIbeC2G52KDXqnAd+yP/anWGCTfto2GuArr4S7oB/QfAw8BwM/sO8A/A1z1rlYhk\nVdJAPbS6x7DzQHID6upG86Mfncs116wmFHKUlQW44oqpPZatxZasVVUdQUvLwazv4JZsSVzlgaMI\nlhmhkIOyAOW1xxbdNIlIX9IK6M65n5lZEzCbyBK2C5xzWz1tmYhkTbqBeqC5AQsXzqCmZnivddVj\nmfDhcGRsvqIiyDPPLMhKUO++JG7ZsrksXvwE7e0hysoCnHf5ZI6/4ATmz/q4eufiO5kUltkL3J/4\nWjqFZaJD9RuAt5xzn46e8wGgGmgGLnbO7c+86SKSrnQDdTZyA5LNY8d6zTt3vkd7++FgDtDWFuKW\nnzbxcBYCevclcQ899Er8MYQ59eNVLPn0KQP+HJFClElhmTHA/uj3RwM7gXTWqS8CtgJHRh/fAKx1\nzt1sZjdEH1+fedNFJF2ZBOp0cgO6J871tiFLYq85UoY1QDgcInHJ+K//+j6NKXZTS1dj4y527nyP\nYDAAhBk0KMi8eRNZt26n5zvFiRSCtArLmNlPgIedc6ujj88BLujr5GY2Cvh74DvA16JPnw/UR79f\nCTSggC7iuVig3rK/mXt3N6YsKNOX7vPxy/YNZvGnf5Gy5ntirxnCXHXVdACWr9hIOBSGsgDu06MH\ntJa/+03DVVdNj8/d9zYFIOIn6SbFfdI5d1XsgXPucTO7JY33LQOuA4YkPHecc2539Ps9wHHJ3mhm\nC4GFAGPGjEmzmSLSm3QLyvSm+3z8Q2v+1GWYe9WqzV0CaPdCMrFAO+2zJ/GVhzcTnlFFxdRjBpSk\n1v2mYcyYo7K2vl2kWKQb0P9iZl8H7os+vhT4S29vMLNPA3udc01mVp/sGOecM7OkG7I755YDyyGy\nH3qa7RQpGX2Vbk0mGwVlus/Hz5vzcdYta6K9PUQwGODuuzfR2Rnu0ltPVvBl4ZnjqTntY1lZy5+N\n0rEixS7dgH4J8E0iS9cAfh99rjczgc+Y2bnAYOBIM7sPeNvMRjjndpvZCCLJdiKSgf72tHsrKJOu\nxPn40e59Xnv9JT79jydQNTgyEPeTn7zYY5OVVL3kbK3lz0bpWJFil+6ytX3AIjMbEnnoPkjjPUuA\nJQDRHvr/45y7zMz+A1gA3Bz9+mg/2y5SlHpLIEtXf3vak1MUlEm3fcuXN/HQQ68wb95EzvtsFV+8\n66e8+H8rCHfC4Ioyblt2Tt56yhpal1KX7uYsNcAqYFj08bvAAufcln585s3AL8zsSmAHcHE/ziFS\nlFLt+52pgfS0JycpKJNO+5Yvb+Kf/uk3ADz11Bt88Z0TePc1CHcCYaO9PURLy8EePeVs3MCISN/S\nHXK/E/iac+4ZiPe4lwN/k86bnXMNRLLZcc61EClQI1Jyetv3O1NzR9dGvo76RNY2Glm1ajOHDnXi\nXGR9+KpVm1m1ajMAL764u8uxr649xDF/DzvLINzpGDSoLB60Y9eUrRsYEelbugG9MhbMIRKgzUxl\nlkQylI3kre7z53NHDXzTw+uvX8PPfvYSu3cfiK8PD4cdK1ZsjNdmDwaty3sWfG46f/PZs/jFmBd5\n/+Vy/vGcqT2CdbZuYJL18tXzF+kq3YD+hpl9A7g3+vgy4A1vmiTiX9lI3kqcP28Pd/DEmy9k3ENP\nnAv/05/2c8stzyU9LnGjlVA4TNUnO3HtxjWXnc7ChTMAmPzZavhs5JjEIAuwc+d7lJUdLvTSnxuY\nZL18QD1/kW7SDehXADcBv4o+Xhd9TkQyNNDkrWlV4whagLAL4YDVu15Ie9h9+fImli59lubmvwKR\nufDKyvL0PjhglF82iuPH/5VxJwR7vJwYeIPBAGaRG4JgsGuhl0wl6+UDWZu6EPGLdLPc9wNf9bgt\nIpKGyUOrOXfMqTy2oxEHhMKhtLLcE5PaErW2dqT3wQFjT+WJ7K06Gqs8ssfLiYE3HA4Bsb3RuxZ6\nyVSqaQqtOxfpqq/NWR7r7XXn3Gey2xwRScfcUZ/giV0bUma5dx/6bmho5pFHtg3sQ8MOmlqwKcew\ny3oG9MTAm9hDH2jATTVNoXXnIl2Zc6mLsJnZO8AuIrus/YHIxixxzrn/8bR1UbW1tW7Dhg25+CiR\ngpYYqIdMCCVdT758eVOXPcljgTUQMDo6wknPGwhAOPlLBIOGA8JlAQJ3zGTQ1Cr+9SP7uHh4z+Vv\nyW4kBhJwlfgmpcrMmpxztRm9p4+AHgTOIlIV7hTgt8D9zrk/DqShmVJAF0nYS7w9RLA8yO2/vZiF\nZ47vcszy5U1cffVv49uTWvQW3LlIYJ45cwzr1u3ostOZGXziEx9j/fq/dHkOYPDgMpYtm0tLy0Gq\nTjueV8aGeW77YxzRtqffteAzvV4lvkkp6k9A72u3tRDwBPCEmVUQCewNZnaTc+72/jdVJP/6Uws9\nnxoammlrDxEOOcJ08pWHN1Nz2sfipVMbG3dxzTWru+w1HggYZWWB+ND3xInHsG7dji7ndQ7q68fy\n8st748EzFsS794zv3b6GjW174hXqnnjzBc9+ht2T4f7zobUMmVBfFL8rkXzoMykuGsj/nkgwrwZ+\nwOGa7iJFKRu7juVKbNi5quoIguVBwnRCWZDwjCoaDrTCS/toaGhm5873oruNRQQCxn/919932T4U\n4K67NtHeHoofZwZHH12R1px0YoW6YCDI6p3rCbmwJz/DxDl5Fwzz+vGvsLhxa0H/rkTyqa+kuFXA\nZGA1cFM/S72KFFxvOBu7juVC92Hnf7llFt9/7S+EZ1RRZsb6rz/PTfdtiS8PKy8P0NERJhg0br/9\n3Pha8a77ky/gllue49e/fg3nHBUVPSu8pZJYC/7tD/fz6x3/26+fYV9z47HXly2by5rXXub141/h\noxM66Qhbwf6uRPKtrx76ZUArsAj4qlk8J86IbNLSM9VVpJtC7A1nY9exTKVzU9PYuIsHHt/EkTUd\nnHjkKO79/qu0tYUIhyPDzkd/EOL3N5/Dqmf+xN0X/5pHo2VaI8JcddV0xow5iqqqI2hpOUhj4y7q\n6kZz3+7tPLZvL58ZNpzL6sbx8MOfyzjhLLH9Xxg3hy37m+OZ9mbGUeWHi0c2tram3Ba1r7nx7q8v\nf/gs7gltpSNsOftdiRSjvubQA7lqiPhXIfaG09l1LJvSualpbNzFmbNXcqitEwuCC78EochNdCBg\n8eVfdZWVNLz8Hp3toXgwN4usy54/fwoQqaLW1hYiGDQu+04t9xxTjmvax4MzDvKXT7Vw3bjTMipw\nk6r9X510Ad/f8hBhF+YHf3yEE44cwYFBxzL79Tdo2/QugaYWfnThlC7Je7fc8hwfftgJkLQoTPe5\n810vtrHsy7n7XYkUq3QrxYn0Wz56w+lI3HXM6ymBdG5qGhqaaW8LQdhw4a6rT2prR7Bs2VwAli5d\nR1XVEV3WfF9xxdR4JbalS9fFe/XhsOOeJetxwQB0hnHlAZZ9fzjnVh2X9DpT/RxStf+9jlaccziI\nP//mR4+gbdO7hL/8HOGOENeseJWa30V64cuXN/HII6/Gz2tmPdaoJyskM3noaAVykT4ooIvnct0b\nzlQupgTSuampr69mUEWQQ22R3isJ68KnTx8BdK1fnioTvb6+mmDQ4tnuLkRkkbkjEtQ3vMPGs3ve\nUPT2c0jV/mTPjxtUSaCphXBHCMIQ6jjcC3/ooVe6fOb06cf3GCXIRr17kVKkgC450dse3PmWiymB\ndG5q6upG87u1C3jg8U28X/FXfvatZjo6wpSXR4bSuw9Ft7QcZMmSTyU9z+23n8tXvrKacDhMoMwI\nOYcLgZXB8RPfT3pD0dvPIVX7Uz3/owuncM2KVwl1hKhIqBQ3b95Ennrq8L5OV145PenPa6D17kVK\nkQK6lKTEhLBpE3IzJZDOTU1iILvqzK5Jay+/vJdAwHCOPsupLlw4I75cbfT0Cv5zy69oeck4qqaT\noyYkLybV1yhCqvbHnm9s3MXShnXxhLzbb+s5ghDLuo/t9BZ7LCID12uluEKhSnGSTcmyrFOVUe3+\nvv4OAw+0hGm8SlxbJKP8vPNO5LrrZqZ9rltf/mV8M5cAxpcmnMMXxs3pcVx/cwkOty8ydx8IQEVF\nmaq7ifRT1ivFifhRsu04l9R9qtcANpAypJm8N1Xgj7U5Um/d8eijr/Lkk39Kux19beYSk6wXnk6Q\nP9y+SAchHE6ewS4i3lFAl5KTajvO3iS7CUg3UKX73sReeCAQ4Ec/OlwYJtbmQ9F1585lFjD7m5iY\nbsJgrH2JPXRtayqSWwroUnL6k0Xdn5uATN/b0NBMW1sn4TCEw2GuuWY1NTXD4/Pqa9fOZ9Wqzdx1\n1yZCocy3Je1PYmI6CYOJVd1aWg7G59CVoS6SWwroUpIyzaIeyFKqdN9bX19NIBAgHN3HNBRyXXrg\nsTbHMt5zETD7SpQ7vANcJ2XlAX76yN9x2d8p0U0kH5QUJ1JArv/h89zytTUQdlAe5M7V/9hji9Rc\n620OfenSdXz9G78jHAICjo9/oYNH/vOqgl2iKFIslBQnUuSO/uw4AkPaCDe9S2DGMbRMPKrHMQPN\nmM9Ub0P19fXVlJUHaHchAmUwZHJHQZT2FSlFCugiBaKxcRc7n3qdsuoAoStOIvjSPnbeuYXGs8fH\nA3eyjHkgZYD3OvjX1Y3mp4/8HTfe/yhDJndQNdEKprSvSKlRQBfJkXR3ICsbFOS8b/0Nj//78/yk\nPcTK/68xvjyte8b8qlWbWblyc9IlcQNZape0/SluDi77u1OZeurwgi3tK1IqFNDFt3K5B3tj4y5W\nrdoMEN8kpcvrra3Mfv0N2p1j0B5j7fgTqKusjLex6fEP44Ga9hAHn36TziRL3bpnzAO0tYcIhxxt\n3ZaxDWSpXbLr6+3moJBL+4qUCgV08aVc7sHe2LiLWbNW0tYWAuCuuzbR0LCga2GYA620O0cIaHeO\nhgOtDGl/J97Gg0cNonxQJbRHlqNNnTqCZ55p7lHmtXvG/MsfHiJ89yYgRLgsQNVpx8c/cyBL7brL\n5s2BiHhDAV18KZd7sMeCXUxHR8+AVz+kkkF7LNJDN6N+SCUbd78Ub+MRJ7Xzrys/wUe2H0tV1REs\nXvwEoVCYQCDAsmVzu5wrccldw569BO6YmTSJLpu7lmXz5kBEvKGALkUv2dB6LvdgT6ySBlBe3jPg\n1VVWsnb8CV3m0IdE29jyiuPAlnJOvGQUly05NWE/cwBHS8vB1J89pJKKqcfQPqUqfqPQ5XOztGuZ\ntjQVKXxahy5Frbeh9XTm0HtLVMtEX3Poqdz35HquvOBJOjvCVAyKbGby8st7+ad/+k38mDvv/HSv\nu5IlXgMv7ctK0M310jgR6Urr0KXk9LWHd68brqRIVOuP/vaEd73YRqjDEQ4drs0OEAhENjgJBOi1\nhw6R3n9dZWXSm4OB7OyWrex4EcmNQL4bIDIQsaH1AJbx0HqyRLVciw3XB4NGsNwYPb2C+vpqKirK\nCAaNioqytOart+xv5sb7H43seNbt5iBTyRLgRKTwqYcueZGtJWX93UUMkieq5Vpd3WiWP3xWvDDL\nPaGHWDbh6oznqze2bGfI5A4CZeWEOx3B8kC/E9eUACdSnBTQxXPdg3f3ee+vTrqA9zpa+x3c+7sG\nOlmiWj64j7/PyH84FJ02MDa2bOcLdXMyGuaeVjWOqolPc8p3DnJgSzk3XnJuv4fJlQAnUpyUFCee\nSpa0trFlOyu2PU4YRwDDzHDOeb5evFBla8184o0ToMptIkVMSXFScDa2bKc93IED2sMd8SATW1Jm\nZoRdGAeerxcvVAOZNuh+nmQjIIk3CMpeF/EvBXTx1FHllcTGgFz0cWIAO6q8kh/88ZGcrBcvZNko\nnRrrob/94f6kmf/KXhfxNwV0ybrEod/3OloxDBcdXn+vI5JJnhjATjhyhIaHByixVx60AMFAEMKh\nLjdJKt8q4m8K6JJVyRLeBvVRsU0be/RP4o1T4np8XJjzxnyS4z4ytMtNkrLXRfxNAV2yqnuhl/c6\nWrMyP5wPudytLVPJbpwSS93OHfWJHm1W9rqIvymgS1Ylq6FejD3wXO7W1h/9vXHKVm13ESk8CuiS\nVdnK2M63XO7W1h9e3DgV8oiEiPRNAV2yrlB65APZeCWXu7X1R7ZvnAp9REJE+qaALr400I1XimGk\nIZs3ToU+IiEifVNAzzENa+ZGso1XMu2lF8pIQy4U+oiEiPTNs4BuZoOB3wMV0c950Dn3TTMbBjwA\nVAPNwMXOuf1etaOQaFgzdwph45ViUgw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C4sokO+ijNuDcXRBV9QPt/HUZ/dR3Gjg97BgB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\nERUbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b6836d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (8,8))\n",
    "ps=et.varvarPlot(ax,data,'Si','mod_silicon','Z',(15,22),'z','m',('mediumseagreen','darkturquoise','navy'))\n",
    "ax.legend(handles=ps)\n",
    "ax.set_xlabel('Obs')\n",
    "ax.set_ylabel('Model')\n",
    "ax.set_title('dSi ($\\mu$M)')\n",
    "ax.set_xlim(0,80)\n",
    "ax.set_ylim(0,80)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Silicate, z<15\n",
      "Feb-Mar:\n",
      "  N: 8\n",
      "  bias: -3.499762077331546\n",
      "  RMSE: 5.873158827025997\n",
      "  WSS: 0.7429703895563348\n",
      "April:\n",
      "  N: 0\n",
      "  bias: nan\n",
      "  RMSE: nan\n",
      "  WSS: nan\n",
      "May-Jun:\n",
      "  N: 0\n",
      "  bias: nan\n",
      "  RMSE: nan\n",
      "  WSS: nan\n",
      "Sep-Oct:\n",
      "  N: 0\n",
      "  bias: nan\n",
      "  RMSE: nan\n",
      "  WSS: nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eolson/anaconda3/envs/python36/lib/python3.6/site-packages/numpy/core/fromnumeric.py:2957: RuntimeWarning: Mean of empty slice.\n",
      "  out=out, **kwargs)\n",
      "/home/eolson/anaconda3/envs/python36/lib/python3.6/site-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "/data/eolson/results/MEOPAR/tools/SalishSeaTools/salishsea_tools/evaltools.py:917: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  RMSE=np.sqrt(np.sum((mod-obs)**2)/N)\n",
      "/data/eolson/results/MEOPAR/tools/SalishSeaTools/salishsea_tools/evaltools.py:918: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  WSS=1.0-np.sum((mod-obs)**2)/np.sum((np.abs(mod-obsmean)+np.abs(obs-obsmean))**2)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f194a9e7eb8>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kvP9JSI8nIhJKGzIzeX7vfjZkZp73faZMmcLAgQNp1aoV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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b926160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9a2FnRQfbGMZhv7mweyzfA+6gkyjRiBuRGKSqftAVT/8IvLI5/sBzYeO3gGurau/+nAe1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194aff9a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "obsvar='Si'; modvar='mod_silicon'\n",
    "fig, ax = plt.subplots(1,4,figsize = (24,6))\n",
    "for axi in ax:\n",
    "    axi.plot(np.arange(0,70),np.arange(0,70),'k-')\n",
    "ps=et.varvarPlot(ax[0],data.loc[(data.Z<15)&(data.dtUTC<=dt.datetime(yy,4,1)),:],obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "ax[0].set_title('Feb-Mar')\n",
    "ii1=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,5,1))&(data.dtUTC>dt.datetime(2017,4,1))\n",
    "ps=et.varvarPlot(ax[1],data.loc[ii1,:],obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "ax[1].set_title('April')\n",
    "ii2=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,9,1))&(data.dtUTC>dt.datetime(2017,5,1))\n",
    "ps=et.varvarPlot(ax[2],data.loc[ii2,:],obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "ax[2].set_title('May-Jun')\n",
    "ii3=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,12,1))&(data.dtUTC>dt.datetime(2017,9,1))\n",
    "ps=et.varvarPlot(ax[3],data.loc[ii3,:],obsvar,modvar,cols=('crimson','darkturquoise','navy'))\n",
    "ax[3].set_title('Sep-Oct')\n",
    "\n",
    "ii4=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,4,1))&(data.dtUTC>dt.datetime(yy,2,1))\n",
    "ps=et.varvarPlot(ax[0],data.loc[ii4,:],obsvar,modvar,cols=('darkturquoise','navy'))\n",
    "ii5=(data.Z < 15)&(data.dtUTC<=dt.datetime(yy,5,1))&(data.dtUTC>dt.datetime(yy,4,1))\n",
    "ps=et.varvarPlot(ax[1],data.loc[ii5,:],obsvar,modvar,cols=('darkturquoise','navy'))\n",
    "\n",
    "\n",
    "print('Silicate, z<15')\n",
    "print('Feb-Mar:')\n",
    "et.printstats(data.loc[(data.Z<15)&(data.dtUTC<=dt.datetime(yy,4,1)),:],obsvar,modvar)\n",
    "print('April:')\n",
    "et.printstats(data.loc[ii1,:],obsvar,modvar)\n",
    "print('May-Jun:')\n",
    "et.printstats(data.loc[ii2,:],obsvar,modvar)\n",
    "print('Sep-Oct:')\n",
    "et.printstats(data.loc[ii3,:],obsvar,modvar)\n",
    "fig,ax=plt.subplots(1,1,figsize=(24,1))\n",
    "plt.plot(data.dtUTC,np.ones(np.shape(data.dtUTC)),'k.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 80)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wz38K//NqXjgyE/dLA/l65PkeuIFZx55FeNF5R79n9rNzR7eWKmmaWrCD/Tu3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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194a86f7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (8,8))\n",
    "ps1=et.varvarPlot(ax,dJDF,obsvar,modvar,cols=('b','darkturquoise','navy'),lname='SJDF')\n",
    "ps2=et.varvarPlot(ax,dSJGI,obsvar,modvar,cols=('c','darkturquoise','navy'),lname='SJGI')\n",
    "ps3=et.varvarPlot(ax,dSOG,obsvar,modvar,cols=('y','darkturquoise','navy'),lname='SOG')\n",
    "ps4=et.varvarPlot(ax,dNSOG,obsvar,modvar,cols=('m','darkturquoise','navy'),lname='NSOG')\n",
    "ax.legend(handles=[ps1[0][0],ps2[0][0],ps3[0][0],ps4[0][0]])\n",
    "ax.set_xlabel('Obs')\n",
    "ax.set_ylabel('Model')\n",
    "ax.set_title('Si ($\\mu$M)')\n",
    "ax.set_xlim(0,80)\n",
    "ax.set_ylim(0,80)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Ratios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f194a93f7f0>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RETly+ZybNTIrIpJFTsihcV4jbsTF4/NQWVeJvya/EsnhqK6uZuPGjdkOQ0RERBLyOTdr\nZFZEJIvC9WHciAsxcCMu4frBtdsXERERGS1UzIqIZFEgGMDj80ABeHweAsHBt9sXERERGQ00zVhE\nJIv8NX4qniyg7dmtlJxdMaKnGIuIiIgMJRWzIiJZ5DghthSdjfuRCI7Hx1inDr+/JtthiYiIiOQ8\nTTMWEcmicLge140AMVw3Qjhcn+2QhtxNN93ErFmzmDNnDlVVVTz33HNEIhGWLFlCRUUF06dP54IL\nLmDXrl2p9+zevZtPf/rTnHDCCZx++unU1NTw+OOPZ/FbiIiIjBwjJTdrZFZEJEuckEPnmvdhJs3B\nznwRj8dHIBDMdlhDKhQK8fTTT/P8889TVFTEnj17iEQifPWrX6Wjo4NNmzZRUFDAQw89xIUXXshz\nzz0HwPz587nkkkt49NFHAdi+fTtPPfVUNr+KiIjIiDCScrOKWRGRLEjfksf4vsfkR16idF51Tkwx\ndpwQ4XA9gUBw0PG0tLRQXFxMUVERAMXFxbz11ls89NBDbN26lYKCAgAuvfRSHnzwQX7/+98D4PP5\n+NznPpe6T3l5OYsXLx5ULCIiIvlKublvKmZFRLIgfUseG4Exmz6O/8LybIeF44RobJyH60bweHxU\nVg5uDe8555zDt7/9bWbMmMFZZ53FxRdfzNFHH82UKVOYMGFCj9dWV1ezfv16AE477bRBfQ8REZGR\nQrm5f1ozKyKSBf1tyeM4IbZvvxnHCWUlrqFewztu3DjWrVtHbW0tJSUlXHzxxdTXH949r7nmGior\nK3nXu941qFhERETykXJz/zQyKyKSBf4aP5V1lYTrwwSCAfw1/iF/8nokAoEgHo8vFcNQrOEtKCgg\nGAwSDAaZPXs2P/7xj9mxYwcdHR2MHz8+9bp169bxsY99DIDVq1enzt9zzz3s2bOH6urqQcciIiKS\nb5Sb+6eRWRGRLPHX+ClfVp7aWzYXOhv7/TVUVtYxbdqKISmmN23aRFNTU+q4oaGBk046iUsuuYTr\nr7+eWCwGwKpVq3jrrbc488wzOfPMM+ns7OTee+9Nve+tt94aVBwiIiL5Srm5fxqZFRHJEZl48nok\n/P6aIRsR3rdvH4sXLyYcDlNYWEhFRQW1tbWMHz+eG264gRkzZuDxeDj55JN5/PHHMcYA8MQTT3Dd\ndddx2223UVJSwtixY7n11luHJCYREZF8o9zcN2OtzWoAA1FdXW3Xrl2b7TBERDJuKLsVAmzcuJFT\nTjllCCLLX339HRhj1llrNW95EJSbRUSOjHLz0OVmjcyKiOSQoXzyKiIiIjKSac2siEgOcUIO22/e\njhNysh2KiIiISE7TyKyISI5wQg6N8xpxIy4en4fKuspUcygRERER6UnFrIhIliXXyXaueR9uxIUY\nuBGXcH1YxayIiIhIP1TMiohkUfresmbSHIzve9gIeHweAsFAtsMTERERyVkqZkVEsih9b1k780Um\nP/ISYzZ9nEAwoFFZERERkYNQAygRkSxK7i0LBXg8PkrnVVO+rHxEFbLGGJYuXZo6vv3221m+fDkQ\n37g9GAxSVVXFKaecwqJFi1Kv+8tf/sIZZ5zBySefzMknn0xtbW2P+z7yyCPMmTOHWbNmUVlZyRVX\nXEE4HB6W7yQiIpKvRlJe1sisiEgW+f01VFbWDenesrmmqKiIxx57jGXLllFcXNzj2he/+EWuu+46\nLrjgAgBeeuklAFpbW/n0pz/NE088wWmnncaePXv48Ic/zLHHHstHP/pR1qxZw5133slvfvMbjj32\nWGKxGCtXrmT37t0EApqeLSIi0p+RlJc1MisikmV+fw3l5ctyppAd6u2BCgsLWbRoEXfeeecB11pa\nWjjuuONSx7Nnzwbgnnvu4bOf/SynnXYaAMXFxdx2223ccsstANx0003cfvvtHHvssQAUFBRw2WWX\ncdJJJw1JzCIiIrlkKHPzSMrLKmZFRCQluT3Q1q9vpXFe45AVtNdccw0/+clPcJye97vuuus488wz\nOe+887jzzjtT05HWr1/P6aef3uO11dXVrF+/PnU9mVBFRERGskzk5pGSl1XMiohISrg+fMD2QENh\nwoQJLFy4kB/84Ac9zl966aVs3LiRT37yk9TX1/Pud7+brq6uw7r3Sy+9RFVVFSeeeCI/+9nPhiRe\nERGRXJGJ3DxS8rKKWRERSQkEA3h8HigY+u2BlixZwgMPPMCbb77Z43xZWRmXXXYZTz75JIWFhbz8\n8svMnDmTdevW9XjdunXrmDVrFgCzZs3i+eefB+JToBoaGjjvvPN4++23hyxeERGRXJCp3DwS8rKK\nWRERSfHX+Kmsq2TaimlU1lUOaVflY445hosuuogHHnggdW7NmjVEo1Eg3lyivb2dY489lmuuuYaH\nH36YhoYGANrb2/nyl7/Ml770JQCWLVvGDTfcwK5du1L3UiErIiIjUaZy80jIy+pmLCKSZU7IIVwf\nzpm9Zf01/ozFsXTpUu6+++7U8TPPPMO1117LmDFjAPjud79LaWkpEG/xf+WVV9LR0YG1liVLlnD+\n+ecD8JGPfIS2tjbOO+88YrEYgUCAU089lQ9/+MMZiVtERCSbMpWb8z0vG2ttRj9gKFRXV9u1a9dm\nOwwRkSHX/Oz/0vTxTmy0AI/PM+SjoRs3buSUU04Zsvvlo77+Dowx66y11VkKaURQbhYROTLKzUOX\nmzM2zdgYc5IxpiHt5w1jzBJjzDHGmGeNMU2J30dnKgYRkVzSu62+44Ro+sV92AhD3nBJpC/KzSIi\nMpJkrJi11m6y1lZZa6uA04G3gMeBrwB11trpQF3iWERkROurrX44XI+tXAcFMTAuFMSGtOGSSG/K\nzSIiMpIMVwOoecAr1trtwAXAysT5lcD8YYpBRCRr+mqrHwgEwRQCieUetps397085J+dD8tJMmU0\nf/cBUG4WEcmS0ZyfhvK7D1cx+yngp4k/T7LWtiT+3ApM6usNxphFxpi1xpi1bW1twxGjiEjG9NVW\n3++vYfyWSyFWCNYDsQLant0ypJ87ZswY2tvbR2XStNbS3t6eamIhB1BuFhHJAuXmocvNGe9mbIzx\nAR8HlvW+Zq21xpg+/1e01tYCtRBvMpHRIEVEMizZVr931+JA+Vw6TCcYC95uSs6uGNLPPe6449i1\naxejtfAYM2YMxx13XLbDyDnKzSIi2aPcPHS5eTi25jkPeN5auztxvNsYM9la22KMmQy8NgwxiIhk\nXe+2+k7I4dVlFqwXClyOv3UsZWe/d0g/0+v1Mm3atCG9p4wIys0iIlmi3Dx0hmOa8b+xfxoTwFPA\nJYk/XwI8OQwxiIjknNQ6WhewHgrfmpLtkGT0UG4WEZG8l9Fi1hgzFjgbeCzt9C3A2caYJuCsxLGI\nyKiTWkfrAeMxeCd6sx2SjALKzSIiMlJkdJqxtfZNYGKvc+3EOyiKiIxq/ho/FXdV0HRNEzZm2bJk\nC2Nnj+0xFVlkqCk3i4jISDFc3YxFRCTBCTlsv3k7Tsih49VXsG58qnFyyx4RERERObThaAAlIiIJ\nTsihcV4jbsTF+MBe/X3wXgXRQoyvkEAwkO0QRURERPKCilkRkWGUavoUAxtxwRkHdyyFhtMoPe8M\n/DXBbIcoIiIikhdUzIqIDCNv9S4o7ARbCIXdMPdlmLkJz+ytlFZene3wRERERPKGilkRkWEUnfEn\nuONRaJgDVS8yed77GDPmIgKBIH5/TbbDExEREckbKmZFRIZRIBDEM3sF7qyNeDw+SktrVcSKiIiI\nHAEVsyIiw8jvr6Gyso5wuF6jsSIiIiKDoGJWRGSYJQvYcLi+x7GIiIiIDJyKWRGRYeY4IRob5+G6\nETweH5WVdSpoRURERA6TJ9sBiIiMNuFwPa4bAWK4biQ1QisiIiIiA6eRWRGRYeKEHML1YbzVH8BT\n5EuNzAYCwWyHJiIiIpJ3VMyKiAwDJ+TQOK8RN+JiCg3HfHoNvo81UjqvWlOMRURERI6AphmLiAyD\ncH0YN+JCDGyXpf1hl92fqYQNM7MdmoiIiEheUjErIjIMAsEAHp8HTOKEBTfiEq4PZzUuERGRXOSE\nHLbfvB0n5GQ7FMlhmmYsIjIM/DV+Kusq2XnbTvb8zx6w4PF5CAQD2Q5NREQkp6QvzfH4PFTWVeKv\n8Wc7LMlBGpkVERlG7b9pBxcwUHFXhZKziIhIL+lLczSLSQ5GxayIyDBpXdWK7bJggRh0vNCR7ZBE\nRERyTmppToFmMcnBaZqxiIiIiIjkjOTSnHB9mEAwoFlM0i8VsyIiGZbcX3b83PG0+lqxUYvxGkoX\nlmY7NBERkZzkr/GriJVDUjErIpJBvZtYHHebh32v/pOSs7VeVkRERGQwVMyKiGRQ7yYWu9Y/jP30\nIzgeH2OdOvz+mmyHKCIiIpKX1ABKRCSD0ptYGG8MW7kOiOG6EcLh+myHJyIiIpK3NDIrIpJB6U0s\nvNW72FL0Cq5bgMfjIxAIZjs8ERGRnNRc20zb6jZKFpRQtqgs2+FIjlIxKyKSIY4TIhyuJzAzSHlN\nDVDOWKcufi4Q1BRjERGRPjTXNrP5qs0A7H1mL4AKWumTilkRkQxwnBCNjfNw3Qgej4/Kyvj62OSP\niIiI9K1tddsBxypmpS9aMysikgHhcD2uG0HrY0VERA5PyYKSgx6LJGlkVkQkAwKBIB6PLzUyq/Wx\nIiIiAzN29liK5xfT1dzF5Msna1RW+qViVkQkEzbMZFLdb6GygdJ51ZpaLCIiMgCvPLWKnRdNhu5C\nPL4Cxs4em+2QJIdpmrGIyBBzQg6N8xppuSnG7s9UwoaZ2Q5JREQk5zU317Lzf34LUQ/EDG4kRrg+\nnO2wJIdpZFZEZIg4IYdwfZjOHZ24ERdi4EZcwvVh/DX+bIcnIiKS09raVkPVLvBGIWqh0BIIBrId\nluQwFbMiIkMgORrrRlxMgcEUGiwW443hrd4FlGc7RBERkZxWUrKAvbOugjuWQkMVx5//YT0MloNS\nMSsiMgTC9eHUaKzFMuFcwxuvrcO+v54tRXWMdeq0blZEROQgysoWAdB29GpKPvFBysoWZjkiyXUq\nZkVEBiE5tdg70YvH50mNzL7xbAy6q+DFWbgnbCNcXq9iVkRE5BDKyhalilqRQ1ExKyJyhNKnFnt8\nHiruqiDaHqVzRyct97WAC0QtpvF0Ap8JZjtcERERkRFF3YxFRI5Q+tRiN+ISbY9Svqyc0oWleHwe\nKADjM0z/5JUalRUREREZYhqZFRE5QoFgIDW12OPzpDou+mv8VNZV0rqqFYCx40qzGaaIiIjIiJTR\nkVljTMAY80tjzD+MMRuNMTXGmGOMMc8aY5oSv4/OZAwiIpmSLFqnrZhGZV3lAR0Xd6/cTct9LTTO\na8QJOVmKUqQn5WYRERkpMj3N+PvAGmvtyUAlsBH4ClBnrZ0O1CWORUTykr/GT/my8gMK2d5TkLXp\nu+QQ5WYRyVlOyGH7zdv1EFgGJGPTjI0xfuADwGcBrLURIGKMuQAIJl62EqgHvpypOEREsqG/Kcgi\n2aTcLCK5qrm5lpbf/Y19V30GG/Xg8Xn6nPUkki6TI7PTgDbgIWPMC8aY+40xY4FJ1tqWxGtagUl9\nvdkYs8gYs9YYs7atrS2DYYqIDL1DTUEWyRLlZhHJOc3NtWzefBUdf+7CRqxmNcmAZbKYLQROA+61\n1s4F3qTXtCVrrQVsX2+21tZaa6uttdUlJSUZDFNEJDP6m4IskkXKzSKSU5yQw45bmmH9TKhqAG8U\nPDGMD81qkkPKZDfjXcAua+1zieNfEk+Yu40xk621LcaYycBrGYxBRERE9lNuFpGsc0IO4fow3ole\ntizZghv5IBS+G+5YGv9pqIK5G2HmPYC2tpP+ZayYtda2GmN2GmNOstZuAuYBGxI/lwC3JH4/makY\nRESGWzJBB4IBjchKzlFuFpFsc0IOjfMacSMuxhisa8E1QBEFdZ8kNrEJqhqwMzcRDtdrn3Y5qEzv\nM7sY+Ikxxgf8E7iU+NTmnxtjLge2AxdlOAYRkWGRnqDVuEJymHKziGRNerd/67GYAoM1FlPoIfar\nIHS/H7xRzPe+SmBuMNvhSo7LaDFrrW0Aqvu4NC+Tnysikg19bcejYlZyjXKziGRT727/FXdVEG2P\n0rmjk5ajVj/6AAAgAElEQVT7WsAtgIhhwt++jv9qjcrKwWV6ZFZEZFRwQg5v/P2N+IEHbccjIiKS\nJn0ZTmVd5QFLcpyQQ8uDLRCzYA3Of4+l+d//l7Kz35vlyCWXZbKbsYjIqOCEHBqCDbQ/0Q4xwEDF\nXRUalRUREWH/MpytX99K47xGAMqXlQOw6Zt/ZtNjP4SZGxj/yVYwFjAQ89D27JYsRi35QCOzIiKD\nFK4PY6NpO5m4EG2PZi8gERGRHNLXMhyAhnkvYLti4J1O6/eu4biLltDxywhEC8HbTcnZFVmOXHKd\nilkRkUFwQg6dOzqhAOiOnzOFhs4dnTghR6OzIiIy6vVeJxsIBuIPgrtsfI1s1GJfmEX3vBB872/w\nwkyYu4GxZ/xntkOXHKdiVkTkCPXYXqDQcMzHjsFgaP91Oy33tbB75W51NBYRkVHPX+Pvc52sKTLY\nrm7wdmPmrgf+BWa+BDMbgAJtzSOHpGJWROQI9dheAMuEMyYAsOd/9qijsYiISBp/jb9HPvTX+Kmq\nm0vrmheJnFKPb+6/UFg4AWM8WGvxeHwEAsHsBSx5QcWsiMgR6j1tyjvRS8cLHfE987DqaCwiInIQ\n/ho/zCyksfF7uC1dgAsYjCmgouIujcrKIamYFRE5Qv4aPxV3VdC2uo1xVePYsmRLasrx5CsnU7qw\nVKOyIiIiB9Fatxb3Nwug6nmYtQGwWGuJRtuzHZrkARWzIiIH4TghwuF6AoHgAU+InZCTKmDDvw9j\nXQtufMrxmCljVMiKiIgchBNyaP3MbOiaCd7/B3cshVn/0BRjGTAVsyIi/XCcEI2N83DdCB6Pj8rK\nulRB64Qcti3fhtvlxgtYj41PLzY9pxenbxKv4lZERGS/cH0YGyHe0bjbQ/Gu5Yz/2JY+HyCL9EXF\nrIhIP8Lhelw3AsRw3Uiqq2Kqi3GikMWA8Rqm/2A6Ha++ApUNMNOLE5qZ2EPPYooMVXVzVdCKiIgk\n9Ow9UcDxHz8Hf/knsx2W5BEVsyIi/QgEgng8vtTIbHLKU+uaF3G7YuCa+Att4mfaVlq7r8U+HKRl\n5Q78/t3YrvHgFmC7umld8yL+mvdn6+uIiIjklP627BEZKBWzIiL98PtrqKys67Fm1nFCtE66Frz/\nH0S8YAsAsDFLy8qd2J/fAlEvAE5BDApigAVvN1RuBFTMioiIJPXeskfkcKiYFRE5mA0zob4MggGo\niU89tjNfjDep+O258NuPQsyDx+fBE54M0cS8Y4CYB979VzhlM8x9GWbFi2GtAxIREREZPBWzIpI3\nhruZUmptbGIf2cq6SgIzE1OPZ23CM3srFYsvJLr2OLwTvTQtbiJeyNrEHQz8/d0cdflLvH3CP2hp\neZndu1f2aCQlIiIiIkdGxayI5IW+CstMF7Th+jBuxIUY8e136sOU1xw49ZizYfvN27Ex2+sOBmIe\nCl56P3ba4/RuJCUiIjIaqLO/ZIqKWRHJC30VlplOiD27LO7fbqf31GMAb/UuKOwEWxhfJ2sKIQbG\n62HyeafzZh+NpEREREa69B0ATIFh+t3TKVtUlu2wZIRQMSsieaHfwjKD+uqy2FzbTNM1TVjX4ina\nP0IcnfEnuONRaJgDVS+C8cALc2DuesaecQ+V9BrNFRERGQXC9eH9e7K7lqZrmhg7e6xGaGVIqJgV\nkbyQrfb96V0WnZBD0xeasN3x6cRu1/4R4l3eajpnfYvCWRuwGLxYmPkilgLC4XrKy5epiBURkVHH\nO9Hb49jGXLbc2EDFd6pU0MqgqZgVkbwx3O37HSfUYzQ1XB/usS7WeAy7qr08un07Ozqn8BfuYA4N\nvMEElpj/pMBGNa1YRERGreRsJtzkGResoeMP3TTMe4GqurkqaGVQVMyKiPTBcUI0Ns5LrXOtqLiL\nzpO6MEWzsV1gCgye7x7H2UVbiGx1KTQGa05lo52Fz+PhKxXnclx0raYVi4jIiNZfc6fes5kwFsqa\noXky2AJsxA5L/wsZ2VTMioj04jghtm1bjut2AS6u20VT0xewx7iY2+cweff3KT13Dv9ZFiay1SUG\nYC1XTp7MlDFjCAYC1Pj9wNnZ/SIiIiIZdLCdBnrOZrLgsfCp1XD3VRC1GF/hsPS/kJFNxayISJr9\nI7LxQhY8GOPB2hjgYm2Uzrf/yZsvncj71nRy/qStjJv5V9abuSwsnZsoYkVEREa+g+00EAgGMF6w\nXcmCtpvjP/AJut/TBI1VlJ47R6OyMmgqZkVE0oTD9bhuhGQhe/TRZ1FSsoCmpi9iX66Apd9lb3QM\ne93NYFyu9U3G3vE3zKk/YSZzSe3VIyIiMsIdbKcBf42fcQta6PjpJLAesB72/cVSedtiuDCLQcuI\nomJWRCRNIBDEk7Yn7NSpyxNXLDRUQtSbaGRh48k5Woj57VnQUEVr+1r8F6qYFRGR0eFQOw0EzjiO\njp91gbXg7abk7IosRSojlYpZEZE0fn8NlZU994Tdvv3m+DTjqgbwRiFqwDVguqHAhTXnQqyQ1p8U\nUFrnaNqUiIiMGj22sEvsAuDd/AE6Hium9UEXbCF4XI6/dSxlZ783y9HKSKNiVkSkF7+/BjbMJPxo\nGIIOgZmJ0dpZmzDf+yoTdy5jT/RRcMbBa++Epz8KrgcbQZ0ZRURkVEr1nHjpRFg6FyJRSC6XNR4K\n35qS1fhkZFIxKyI5r7+2/5n6HO9EL1uWbOnRnbGyso7W1lUwGUpLj+N4vpR6+rzl2Vif64VERERG\ni1TPiYY5EPGmFbIoP0rGqJgVkZx2sLb/A33/QAphJ+TQ8KEGbMSCh3gSduPdGVvXvAjHPEpLywOw\nfgYtjW8y45NXUX72MiiHsXXDU2yLiIjkqlTPiQlvxHtKJEy8YCJTvjRF+VEyQsWsiOS0g7X9P5RU\nIdzlYgoM0++eTtmisj5f27qqdf/2ATGgIP5jfNA66VpsywuwfiYsvR2iXjb/19uM/b2TWiukJC0i\nIqNZsufEtqc3s9djkpsCMOGMCcqRkjGeQ79ERCR7km3/KTj8aUrh+jBulwsu2Kil6ZomnJAzoPce\nNa+dyV8roPSRl7AzX4yfbKhKdDMugKiHcH34SL6SiIjIiOOEHML/WUZJxdl4ihJ5u0jTiyWzNDIr\nIjntUG3/DyYQDGAKDNaNj7ha1/Y7slu6sJTWB1uxUQuFXbz18eV0zn6Fioq72L3Fh+t2pXUzthhf\noRK0iIiMek7IYcdtO2j/n3aw8QK24q4Kou1RLb+RjFMxKyI570in8fpr/Ey/ezpN1zRhXYunyIO3\nehfbtz+a2nYn/bVV9VVse/wJ9pbfDrNexnULiEbbU1v1eGdMpGNyEzRWUXruHCVoEREZFZprm2lb\n3UbJgpLUcp3m2mZaHmihY11HfHlOgtvlEm2PUr6sPEvRymiiYlZERrSyRWWMnT023qW4ehdbis7G\n3RrB4/FRWVmXKmgdJ0TrMasoWNiKad+MtQV4PL5U0ZsqfC9M/IiIiIwCzbXNbL5qMwB7n9mbOp88\n15vxGM1ckmGjYlZERrzkyO727Y/ibu0CXFy3k9bWVbz5s3JaftZEx9w74WNPAmCMl8mTr6S0dGGP\n0VsREZHRpm1120GPeyiA6fdM18wlGTYqZkVkxEtuz9M961iY4MZPrj+FlhuPpeV/NwMWfn8t2G44\n/1dY282YMVNUyIqIyKg3rmpcjxHZcVXjgJ6jtBM+MIGxM8dSurBUhawMq4wWs8aYbUAH8Zn03dba\namPMMcDPgKnANuAia+3e/u4hIjIY6fvUGu+xcPvM+IWld0CXj/iGsib++08fgPN/hTHx6cUiI5Fy\ns4gMlBNy2Newb/8JA91vdLN75e546jRw/A3Hc+KtJ2YtRhndhmNk9kPW2j1px18B6qy1txhjvpI4\n/vIwxCEiOSw5ejrUnQ/T96m1FEBjdXwENuql5+5khgnnG8ZO/pymF8tooNwsIn1yQg6tq1qJtEZ4\n/Tft8S7/GPDEOxVDfN93LOCBwoAmekr2ZOOfvguAYOLPK4F6lDBFRq1k0mx9sBUbs3h8HirrKo+4\noO1dFCf3qXUjLh6fh4pPLqK9/Te0P2IhCnhg/NzxTL58MmWLgkP63UTyiHKzSA7J1APegXxuw4ca\nsF02cSZZyMYYHyyk4juVAOxeuTuVV9XsSbIp08WsBX5njIkBP7bW1gKTrLUtieutwKS+3miMWQQs\nApgyZUqGwxSR4ZKeoIH4FODOxBNewO10aV3VekTJO31KcXpR3Huf2jLei1Oenf9QEMkBys0iOay/\nXDYcwvVhbMT2Ohs/9p21BX/NBwGOeP93kaGW6WL2fdbaV40x7wSeNcb8I/2itdYaY3r/PyZ5rRao\nBaiuru7zNSKSX3on6EmXTMLt2l/IAmCh9aHWI2oikT6luDvi8t2fbOBZn4/LyyezaFk5jhNi+/b6\n+HY7NTVKwDJaKTeL5LD0XOZGXML14WHJVxtu+2/aH42BZzLETM+Lrof25SfiBJ3UDgHKoZILMlrM\nWmtfTfx+zRjzOHAGsNsYM9la22KMmQy8lskYRCR39E7QAKbAYN2e/01su22P5D3Q6VaBYAB8hu4u\nS3chPH5KFxs6uvh7Rwdj3l7L1Fc/heseuMesyGii3CyS23ovjxmOabwbbvtvXvty2oSMOY0Q8cE/\nTibVXyLKsBXWIgPlOfRLjowxZqwxZnzyz8A5wMvAU8AliZddAjyZqRhEJLckEzQF4PF5KF1YyvS7\npx/wbyJTsH/D9eRo7tavb6VxXiNOyOn3/v4aPy89UspDl8WbFW+Ytf/aP9t+h+tGgBiuGyEcrh/6\nLyiS45SbRXJfcnnMtBXTMjrF2Ak5bPrmn3nhkc/z2i9fTZxNjMhGfPCFe8DbTXz6lAVvTOtjJedk\ncmR2EvC4MSb5OY9aa9cYY/4P+Lkx5nJgO3BRBmMQkRzS1/pVIJU7k38uvWz/FOPDnW5VPa+UJce0\n4PY6f0LJWXhevT81Mqutd2SUUm4WyQOZnsb7ypdfYeftO8G64LsAPrEa/u80Uut+Ns+A354Di++G\npgowBcz4wnyNykrOyVgxa639J1DZx/l2YF6mPldEclvvBB2uD8d3u0wwhYbShaWp48OdblXj9/Px\n4mKe2LN/15FPj93GBwtb8FbcRTTaHl8zqynGMgopN4tIc20zO2/bSWpvnYgXxr0F7/0z/O/74ufc\nAnj645gxhtJHXqJ0XrXypuQkbQwlIln15vo3exwHPtRzXWy/o7kH8aXjj+c37e10WcuprOfyt25g\n69ao1sqKiMio1FzbTMsDLRSVFfHWzj2kttxJjsRWNcR/1p4BXYl92K3BRmDMpo/jv7A8e8GLHETG\n1syKiByKE3J47dGefWb2Prv3gHWx/ho/5cvKBzy9qcbv5wfTp1MAzKEBa7VWVkRERh8n5PDyJ15m\n81Wb6fh7B3ue2MNbzycX4sQL2TGffR5vVRvM2gDX3A2e/XvMmkKjdbKS01TMikhWOCGHbcu39dyW\nB8Amph4P0gsdHcSABqqI4sWlQGtlRUQk5zXXNtP44Uaaa5sHdZ9kA8U9T+zpecHub1RRdP42jv7Y\nGPxP3wMbquANP/ERWwPGUHrp4W+TJzKcNM1YRIZNcoud7nA3u+7che3ue5tK70TvkH3mBmaxlDu4\navwrXFLxSU0xFhGRnNVc28zmqzYDsPeZvQCULSo7onu1rmrF7ezdDjGZd+NTjLuaOmn59HSIejG+\nOxi/bB1v+CxE9+86IJLLVMyKyLBIPiF2u1x6tBr2gLfYS/S1aOo42h4d9OctLC3lodZWItbyijmV\nd1V8Br9/ZD5dDoWgvh6CQahRrS4ikrfaVrcdcHwkxawTcmh9sDVVu5pCwzumv4OoeY3ohrGkLvi6\nIOoFtwAbtUz0XsSJvw8cVp8KkWxSMSsiwyK1xU6vh8SmwDBtxTSaFjdho0OzPifkONSHw/xg+nTa\no1GCgQA1I7iQnTcPIhHw+aCuTgWtiEi+KllQkhqRTR4fiXB9GBtLVrJQekUpJ917Eo4T4oXPr4Kf\n/mv8wvqZUBADLMZXmCpgVcRKvlAxKyLDIrXFTnJk1sQL2el3T2fs7LH795o1B7vLoYUch3mNjURc\nF5/HQ11l5YgtZCE+IhuJQCwW/11fr2JWRCRfJUdh21a3UbKgZMCjss21zbStbmNc1TgKA4V4J3p7\nbGvXY7rwm0cRb5tjIOblqDPb8ddMovTcOSpiJe+omBWRYZG+xY53opeOFzpS17Yt34aNWrBguy3h\n+vARJ9T6cJiI6xIDIq5LfTg8oovZYDA+IpscmQ0Gsx2RiIgMRtmissOaWnzAOlsDnjEeKu6qINoe\nTY22Ok6IbduWg53V4/3+E2dz0rdOGsqvIDJsVMyKyLBJTl1yQg5blmzB7XJpcVv2b3XniTecSE4z\nTk4XPpxpwsFAAJ/HkxqZDQZG9pYCNTXxqcVaMysiMjq1PNDS84SFWMTlf7e+zpbPjScYgJlOiIaf\nXIN9YSZM3wzeKHQXYtTkSfKcilkRGTLJbsWHahqR6rC4fys78MDRZx3N1OVT8df4BzVd+JJJk4B4\nE6iRPCqbVFOjIlZEZDRxnBDhcD3ezR+g44VIj2uugUihYflxe/jH1j0UeTysaf4/7LW3QnchFHZz\n1LJn8ZvzNbVY8p6KWREZEqluxYn1OZV1lX0mSCfk0PpQa8/9ZT3gKfKkClk4sunCtc3NXNPUhGst\nRR4PC0v1tFlEREYWxwnR2DgP143AL/4fxBYCBYDFzmlk3RnwcFUVG2bBTNZzmtvAWz/6F8Z0FwIm\nPiL7f+/npN+8P8vfRGTwVMyKyJBIdSuOgRtxaV3V2mOUNjlq27mjc//+sgaKLyhm/BnjDxjNPdzp\nwiHH4QtNTXTb+L27RsF6WRERGX3C4Xrcl06Ehjkw4fX4lOGoBW83ZtGD/PTUz+Gx61nCbzmXNRTS\nTcHuuT3uEW3pe593kXyjYlZEhkSqW3HExRQYWh9qxXZbPL54E4otS7bEr3kS7YoTo7HHf+n4Pkdw\na/x+6iorB7xmtj4cJmb3J2cD7OjsJOQ4eVXQhkKwalX8zwsXavqwiIj0XMbj3fcBWDo3vj+sNwpf\n+BE442Dui8yY/wV+yDQ6mz6Ox3YBNr5JwEd+Df84heS0qEmXHp3Fb5M/tI977lMxKyJDIr1bceeO\nTlrua0mN0ratbkuN2tqYTW3LU3FXxUHX6tT4/YfV+KnI46HLdTGAxxjua2lh5e7debM9TygEH/wg\nRKPx49pauPdeWLQou3GJiEj2OCGHhg81YLssFEDx+cXQHY1vc9ddwOSxSxmz+C8EAtfg99fQsenz\ntCQK2ZTzfwUY+PMHeee/HseJ134qS98mf2gf9/ygYlZEhkx6t+LdK3en1s+WLCjB+bOzv+mTBWst\n0fbokH12+kjujs5O7mtpybvteVat2l/IArguXH01zJ4dP9bTYRGR0ad1VWu8kAWIwZ6n9mC8Bkt8\n9lPpuXPwl8fXvzpOiNbWh9hfyHqZPPlyxo+fS/SL7QS+8V78fiWRgdA+7vlBxayIHLH+uhenj9Im\nr42dPZbWVa20PtiKjdkeW/AMleRIbshxWLl794jYnsd140XuypV6OiwiMlqk59cDWCi9tJQxU8b0\n2EM2HK6ns3MH1nYnXmiYPPlyTjrp3mGNfaTQPu75QcWsiByRQ3UvTo7S9j4uXVg6oO17BuNw19vm\nioUL4f77obt7/zmfL/5bT4dFREaH3vm14q4KWgpbIJEbjM9QurA0lUPTuxsbU4gxBVgLHo+P0tKF\nWfwm+aO2FlavhgUL9i/t0T7u+UHFrIgckd7di8P14QEVp72L3HQhx2FVaysw+D1iD2e9bbalN5j4\n05/iI7GtrVBaGi9woefIrJ4Oi4jkh4Huv57++m3Lt+F2ueDG82u0PcrcP82ldVU8P5YuLOVn5W+y\nunEbC0pK+HC0Pr5NDzGshcmTr2TMmCkEAkFNKT6EUAhuuw2eeCJ+/Mwz8d/pBa2K2NymYlZEjkh6\n9+K+pgwfbgIPOQ7BhgYiiY7E97e28qeqqsMqSEOOk3ejsX01mLi3jxlhmXw6HIvFKCgoGNqbioiM\ncgPdf/2A1ycKWTyk8mv6g+Da5mau2rwZgGf27mXl8bOY6vHhupHUaGzvIra5tpm21W2ULCihbFFZ\nxr5zPknm37ff7nl+9ersN1601uK6rnLzAKiYFZEj0te62KTDTeAQ31onkra1Tre13LZzJ48foihN\nFrDh7m6+t2sXrrUUeTw538E4ORq7Y8fAphBn4unwxo0bWbp0KaeffjorVqwY2puLiIxyhzuDKfX6\nRCF79FlHM3X51APes7qtrcfxT/aV8/PKOsLh+j5HY5trm9l8Vbz43fvMXgAVtOxv8NTbggXDHkoP\nGzZs4LrrruM973kP3/zmN7MbTB5QMSsiA9Z7tLW/KcNHMgV5otd7wLnmrq6DvifkOMxrbKTLdXHT\nznfleAfj9NHYwkJIPngdrinEr7/+Ot/61re45557GDduHB/96Ecz/6EiIqPMoWYwQc8R096v76uQ\nBVhQUsIze/f2OPb7y/qdUtzyQEuP47bVbSpm6dngyRg47TS4/PLsjcq2t7ezfPly7r33XsaPH8/8\n+fOzE0ieUTErIgNyOKOtA0ngvbVHoxh67IrH5ZMnH/Q99eEwkV6FLMT3mM3lDsbp7f4BrrwSpkzJ\nfIOJ7u5ufvzjH/ONb3yDcDjMlVdeyYoVKygpKcnch4qIjFIHm8EEB46YzvjxjIO+PmlRWbwQXd3W\nxoKSktRxX5yQQ8e6jh7nShbo3/mQOw2eotEo9957L8uXL8dxHD73uc/xrW99i+Li4uwElGdUzIrI\ngBzOaOuhEni65DThiV4vYzweutx4aXrD8ccfNEEDBAMBfIn3JGZlUWAMd0+fnrOjsnBgu/+FCzOf\nRJ955hmuu+46NmzYwJlnnsmdd97JnDlzMvuhIiKj3MGaHratbjvguGxR2YD6TCwqKztkjoT4HrXE\n0uL5gH9Ej8qmN1TsnVf7upbtBk9r1qzh+uuvZ+PGjZx11lnceeednHrqqdkLKA+pmBWRATnc0daD\nJfCk5DTh5H6wd1VU0B6NDriBU/oWPBO93sN673DpL3kO19PgzZs3s3TpUp5++mlOOOEEHn/8cS64\n4AKMMZn7UBEROSRvifegx0Mh0tpzUWjhMSP3P/3Tl/D0njbcV7PFbBaxmzZt4vrrr+fXv/41FRUV\nPPnkk5x//vnKzUdg5P4TLSJDqvdoK8D2m7cf9n6x6R2Hk9OEY0DEdWmPRllWXn7w9/cqDnN1C55Q\nKL7FzkMPxfeN7Z08M/00OBwOs2LFCn74wx8yZswYbr31Vq699lqKiooy96EiIjJg0bboQY+Hgq/U\nd9DjkaT3Ep6//z3+A9Denhv7te/du5dvf/vb3H333Rx11FHcfvvtLF68GJ9v5P7vkmkqZkVkwJKj\nrYfbrTi5f2xrJMJvXn+dbmtTI7E+jyc1Mtt7nWvvwjXXnqz2JxlnZyckGzQPV/KMxWLcf//93Hjj\njbS3t3PZZZfxne98h9LS0sx+sIjIKHG4W8/1p2RBSaq7cPJ4qI2fO56WghaIgSkylC4cubkguYSn\nr612li/vubxnuPdr7+7upra2lm984xvs3buXK664ghUrVvDOd75zeAMZgQ5azBpjTrbW/sMYc1pf\n1621z2cmLBHJpkMl6sNZPxtyHD7U0ECXtT3Od7ouq9vaWHzssTTs28eCkpIeI6x9Fa6rVu0vELP5\nZPVQ0uOE+HSn4Uiev//971myZAkvvfQS73//+7nrrrs47bQ+//UteUy5WSR7jmTrufT3pufW5NrV\nTO3/6oQcmhY3xbf6KYDpP5g+qOI7lxxsCc9tt8ETT+x/7YIF2W329Lvf/Y7rrruOl19+mWAwyF13\n3UVlZeXwBTDCHWpk9npgEXBH4tj2un7mkEckIlk1kER9OOtne+8fm2SJb/b+zN69eIA/Ow6zx45N\nFbTp04Uikf1TdtMLxOF+sjoQoRA8+OD+OL3e+JqdTDZ5euWVV7jhhht44oknmDp1Kr/4xS9YsGCB\n1t6MXMrNIllyJFvPQf+5tWxRWcYaMm24ZAM2kvjXQww6Xug4+BvyxMFmadXUwOOPQ21tfER2wYL9\nW+0Md7OnpqYmbrjhBp566ilOOOEEHnvsMebPn6/cPMQOVczeb4wptdZ+CMAYcwmwANgGLM9saCKS\nDQNJ1P4aPwVPVrD12TYqzi45aCIPBgL4jDlgZDadS3zNbPresL07/gJE05YTHeR2WVVfv3+9jjHx\nQvbee/t+7cG6Lg7EG2+8wXe+8x2+//3v4/V6uemmm7j++usZM2bMEUYveUK5WSRLjmTrOTh4bk3v\n6j9UjQw3fGYDXU0H36s9n6Tny94Pu/uapbVoUc/9Ygebbw+H4zisWLGCH/zgBxQVFXHLLbdw7bXX\nKjdnyKGK2R8BZwEYYz4A3AwsBqqAWuBfMxqdiAy7gSTqkONwdtEW/n/27jy8yTJr/Pj3SZuCAiZa\nkdIBqlDUQTEgyExeUOOgo6Ovyyv+dJxxqqjggg4pZSuLlLUsBcogKqiDVMQNUFERl2oEnYyKQEFB\noMgmtFAKiSy2SfM8vz/SlDRN27RNmhbO57rm6prkjnNdnJ77vs85rltV4nROcp3eE1X/5k6+QGw2\nGPiiRw9yCgvZevIka3/9tcrz6aBKzWzglSCAl16C8sk9qGrTvGYcbOxOMA2p//V4PCxevJixY8dy\n+PBhHnzwQaZNm0ZiCGMaxBlBYrMQUVLb6LnqynSqi62+rv4lqooGKEBLnY5ck6lBCW3xquIq32uu\n9bKB8TI7u271r43Vb8Pj8fDyyy8zbtw4jhw5wsCBA5k6dar0rIiw2pLZGE3TjpZ/fh+wSNO0FcAK\nRVE2RXZpQoho2NoN8pa2o0ceXHVLQkUwdjrtOBw2jEYLNkdipS7ENocDAMumTbg1Db2iYOvRo1JC\n68bXLqUAACAASURBVPt81K5dZO3fjwrEKgrDOnTAGBsbdCc68ErQsGHeWhjwnszGx0f0P0W9hFqX\nE8rOcjBr167FarWyceNG/ud//ocPP/yQ3r17h+8NiOZAYrMQUVTd6LnAq8TJ2cm4i90ViW2wJNjm\ncFBansiCt2agNOCmUn207NySk3knT3+d3LLZ1ssGxsvi4rrVv9Y33tZtjTasVit5eXn069ePNWvW\nSM+KRlJrMqsoSqymaWVAf7w1OqE+VgjRzPh2iLsUqPQqUBh0og19MeB02snL64+qutDp4rgu+T3i\ndC0qdSHOKSysqI11aRo5hYVBA7ExNhZftYimaRhjY2sdx1PxWCPodN5TWZ3OG9CaolDqcgJPcGvb\nWd6zZw8jRoxg+fLldOzYkddff5377rtPam/OThKbhWiCKl0lLlXZ+dRONFWrVCMbmFBajEbUgOdR\ngXh9w2bOXvr8pWy8diN4gBj4fc7vG/R80RQsXtal/rWu8bYufv75Z0aMGMHKlStJSkrirbfe4p57\n7pHY3IhqC3qvA18qinIE+A1YB6AoSjLgjPDahBCNzOZw0GWLyqw00Ls1Sl7difPzVjgSbaiqC/Cg\nqi6S3OvJNT1Z6UpxTmFhSK9hMRprHMdT42Mt0KJF9Frrh1OoJ7gnTpwgMzOT2bNnExMTw8SJExk+\nfDjnnntuYy5XNC0Sm4VoYpx2JyX7SlBiFDQ0FEVB82ig1twoymwwEAuUBXz/qR07KjVFrCuD2UDP\ndT3DMkIo2hraiTgSnYyPHz/OtGnTmDNnDnq9nsmTJ5OWlsY555zT8CcXdVJjMqtp2lRFUXKB9sAn\nmlbRckWHtz5HCNGM+Ne0AlXqWy1GI9vzFPRujRgVcGveQPikBZ0uruJk1mi0kOR3dRigZ5s2UFBQ\n+etqXjvXZKry2qF68EHvx0h2B/YXyaYRNe0sq6rKq6++Snp6OgUFBfz9739n+vTpdOjQIbyLEM2O\nxGYhmg6n3UlhTiGFiwvRyjSUWIX2g9rTpmcb8q35ITWKurhlS/JLSip9zw3V3nAKVXXXoZujhnYi\nDlcnY1VVeeWVVxgzZgyHDh0iJSWFzMxM6VkRRbVeR9I07b9BvrcjMssRQkSK7wqxS1WJVRQ0wKNp\nxPk1mjAbDKj/ryslr+4Et1YRgA2GJEym3IqaWYOhakQodrvR4b0epQAriooqdpX9X9v3eqFeLa5Y\nf0ADh+oaK4VTYzWNCPT1119jtVpZv349ffr0YeXKlfzxj3+M/AuLZkNisxDRV1EjW6JWDMjS0GjZ\nqSWJgxNp1b1VlZNR/43dLSdPsqKoiLvbtmXW/v1VZmz91ykXLZqSdevWYbVa2bBhA2azmVWrVtGn\nT59oL+usJ7U1QpwlbA5HRdMmtfwgR6PqSJy+NyV6rxYHBGCDwRw0ifWxGI3EKgpuTUMDPjt2DJvD\nwcPlXfwCG0bVdbe5MRo4hPKavu9H4qR23759jBo1ijfeeIPf/e53vPrqq/ztb39Dp9OF94WEEEI0\nWEWNrC8LVah0Cus7GbU7ndj27iVer8ean4+rvC1/+RQ3Pjl2jJEdO7Ljt99498iRiuffdOoUo3bt\nYkaXLo34rkSgPXv2MHLkSN5++206dOjAa6+9xv333y91sU1ExJNZRVFigPXAAU3T/ldRlAuAN4GL\n8c7Eu1fTtGORXocQZzOn3Um/NSVc1U5hczetyslsYN1qfa8mKZyO6SreRlALCwoq/qEJNoInVJFs\n4FCd+HhvoylN875mfHxkTmpPnjzJzJkzmTVrFpqmMX78eEaNGkWrVq0a/uRCBCGxWYj68R+94z9u\nR4lRSHg4gYSUhErx0/9mkqIoqJpWpeETwKYTJ/jYZOKir76iqOx0Be3KoiJJZqPkxIkTTJ8+nays\nLHQ6HRkZGYwYMUJ6VjQxjXEyOxTYBpxX/vVoIFfTtOmKoowu/3pUI6xDiLOS/6iAOXEKW5a2p3d/\n72lpfetWg7E5HJRpgZekvMmtu/zzGCA7Obler7dFddJ9uoPEw0ZG3maI+Kms3Q5Wq/dUVqfzzrUr\nLg7v6bCmaSxbtoxRo0Zx4MAB7rvvPmbMmEFSHa9gC1EPEpuFqKODiw6yc0h5h+IW3g7FNc2chcq3\nonSaRoyioJXfYPI3oG1b7E4nxzyeSt+/u23byL2hM0Ak+lqoqsrSpUtJT0/n4MGD/O1vf2P69Ol0\n7NgxPC8gwiqiyayiKB2A24CpwLDyb98JWMo/XwLYkIApRMQU5hSerudxadyxvSVJd5+e/wqVZ8jW\ndJW4Jv5dimMVhb9ccAEfHT1KqV+C6wE2Hj9e5+de9LWTx47nwRUqXKrj0rJkbHvddUrE/euUQnmM\n74qxqoKieBPZ2k6H6xJUv/nmG6xWK//973/p1asXb7zxBv369QvpvQjREBKbhag7p93pHbVT5o1p\naqm3Q3FSelKNN5kCO/hnJyez8fhxFvuNs/vbRRcxODGRzL170fxi5nUGg5zK1iASfS3sdjtWq5Vv\nv/2Wa665huXLl2NujGYZot4ifTKbDYwE/NuattM0zdfytBBoF+yBiqIMpnx2XqdOnSK5RiHOWE67\nk8LFhRV3f5UYpUpHxdMzZEtRlBi6dn2WxMTBQZ6tZmaDoUqXYrvTiTU/n2/rkcD6W5HvgA6q92gX\nlSz3TpTd3uvSAxMSSElIqJKgBnZuDmxAVVtCW91cu+ra+4caVA8cOMDo0aNZunQpCQkJLF68mJSU\nFKmLFY1JYrMQdeC0O9mTsacikQVQdFXjaTDBYiN4O/4/tXMnHk1j5ZEj2J3OKonv9M6dI/aezgTh\n7KWxf/9+Ro0axeuvv0779u1ZsmQJDzzwgMTmZiBiyayiKP8LHNY07XtFUSzBfkfTNE1RlKr3Er0/\nWwQsAujdu3fQ3xFCBOer6SnZV3I6+CqQ8HBClR1kh8OGqpYCKpqmsnPnEFq16l7vE1p/ZoOB7ORk\nbti0CZemEacopJQ3hKqNfzI6INnIJycVKP/nQtN5a448msYLBQUsLizkix49Kv5ICOye/GC7dnVu\nQFVd4lpde//agupvv/1GVlYW06dPx+PxkJ6eTnp6Om0CRhgJEUkSm4Wom4pSndLyG04678Zw12e7\nsrUb2PburfXGjzlglB14JwB4yutnS8vjUnpSUoNG151twtFL49SpU8ycOZOZM2eiaRrjxo1j1KhR\ntG7dOtzLFRESyZPZvsAdiqLcCrQEzlMUZSlwSFGU9pqmFSiK0h44HME1CHHG829GYTAbKtXIKjEK\nSqx3gLsuTkdCStVE0mi0oCgxaJq3JYWmqTgctjons4sOHuTxHTvQ8B6gruvZsyKAf9GjR52Cc2Ay\nmp2cTMwODY/mrV+NKe+a7FOqaZXm8fnXKPm6RvrvdofagKouc+mqC6qapvHWW28xcuRI9u3bx4AB\nA5g1axaXXHJJaE8sRHhJbBaiDio6FquADs6/8XwuzriYrd3qfuPHX7xeX9EISgUc5U2fgiW+jS2U\nspzAsppQy2zCWeNa022p2miaxuuvv86oUaP45ZdfuPfee5k5c6b0rGiGIpbMapqWDqQDlO/+Dtc0\n7QFFUWYBDwLTyz++F6k1CHGm809cdXG6ikYUqksFj3feXftB7WnZqSX6eD0OmwOg0umswWCma9dn\n2blzCJqmotO1wGi01GkddqezIpEFb23s6F27+PLqq4G6B+fAZPTlggLvCAPFG/QvO+cctp06Ve3j\nA69qpZRfRY7kbnewoPr9999jtVr56quvMJlM5OTkcP3114f9tYUIlcRmIWpXXcdiXZyOizMuxmA2\nYNu7t0Ej54rd7koTAGbt3w8QkRrZmpLTwJ8Fmwtf5TEBZTXZ2d6GibWV2USixrUum84+3333HUOH\nDsVut3P11VezbNkyrr322oYtRERNNObMTgfeUhTlEWAvcG8U1iDEGcE/cVVd3mYU+ng9iqKg6Sqf\nxgYmvf4JbWLiYFq16l7vJlA2h6NKZ8afS0pqfVx1ATYwGU2Mi6v0uMvOPZddv/1W0TxDD5WvL281\n8GCeCXo4SLnq9HNHerfbF1QLCgp4+OGxvPLKK1x44YW8+OKLDBw4kJiYmIi+vhANILFZCCpvEhOn\nsGVpAle/l0zSeneljsWBcSrwxo/d6SSnsBA4HZ9sDgfxej3Fbjfxej06Ts+a1YCZ+/czZ/9+/nT+\n+XxsMoXl/dSUnAb7WeBmcrAkPbCsZsWK0GpXozEv3t+BAwcYM2YMOTk5tGvXjpdffpmHHnpI6mKb\nuUZJZjVNs+HtjIimacVA/8Z4XSHOBDXtqAbuGOvj9eRb89FUDSVGITk7GYPZwN7MvVWS3sDaWYPB\n3KBOxjGcDsoA1xuNPLF9O0C1DZqqC7C+hhm+PwR6tmnDR0ePVtTdjuzYkZEdO1b6Q6EiOFfs/BqI\nizOQkgsEvK1ItPIHKCkpYe7cuUybNo3S0lKGDx/O2LFjMUjdk2iCJDYLUZX/BICyUo1vPypg1D8O\nkfukiSS/f8ura+wE3vhmKe8VAfByQQG68vKY8tvKxCpK0NcvAz45doyb8/JqTGh9fxv4kmNfMj1z\n3z4Oulw80r49gxMTa0xOg/2stiQdqpbVDBgA69ZVLbOx2yEnx/t5Skp05sWDt2fF7NmzyczMpKys\njNGjRzNmzBjpWXGGiMbJrBAiRLVd9zGYDRVXi/XxeopWFHmbVKigKRruYu+E18CkN5QOjHVhNhhY\n17Mno3ft4ueSEq43Gnm7qKgikC8sKGBEx46Vrk+Fsvu75NAh73s/dIh/de16OmBvNWCzQYql6rzZ\n2nZ+I3HNSdM0Vq5cyYgRI9i9ezd33nknWVlZJCcnN+yJhRBCNBr/CQAa4ImBDT2qj1G+EppFBw+S\nsWcPA9q2rUgg/fs6uAHFb7asCpV+HkzusWPYnc6gN4rsTic3bNpUMfpOR9VeEr4pAjUlp8F+VlOS\nXvG+g5TVdO9etYbWYvHGWoDFi+GLL0KvcQ3HprOmabz99tuMHDmSvXv3cvfddzNr1iw6S5foM4ok\ns0I0YaEkfL4T1opui+XbvkqsQsm+Epx2Z6Wk13dNKtiubkOu4ZoNhooa2cy9e1l2+HT/GN/1qS7n\nnMPgxETgdBAtVVV0ioJjn57MZacDV+B7L3a7SU9KqjUZrW3nN9zXnDZt2oTVauXLL7/kyiuv5LPP\nPqN/fzngEkKI5sZhc1RMAFAU+OwvsP0KamwcuOjgQR7bsQPwnqiCN77pFaVSKUywk1kFcPkluf48\nwA2bNlXayPXF6JzCwkoz3FVADZIcrygqYnBiYrXJaXWJayh9LgJrVQO/ttnA7T79tS/epqfXHnPD\nsem8YcMGrFYr69atw2Qy8corr2BprKNg0agkmRWiCQvlug9U7bbYpncbTmw6QcGLBRQsPsSWgSZ6\npxgwp1eukylRVTRAAfSKwsPVzGytz7r9A7nPiqIiurdqVRE4s5OTGbJzJ2WaxsyT+eiWtaLFZAO5\nuWDpFvy915aM1tbdMFzXnA4fPsy4ceN46aWXuOCCC3j++ed59NFHiY2Vf1aFEKI5CrzFdNdTyVxw\nSdXNXv/ynxVFRZWew5dA2nr0qLFm1hfTcgoLebmggIq8zxeUgVKPxhPbd6Ao1Ktj8oC2bYGak9P6\ndE8O5dTUYgG9/vTJbF3ibUM2nQsLCxk7diyLFy/mwgsvZOHChTzyyCPSs+IMJn91CdGEhXLdB6oG\n4NZXt+b498fBA2UelW8XOhi1xFCxu2lzOCgtT2TBGztdmsbCggKWHDpU54AZbN22Hj0YvWsXa3/9\nteL7bZ2tuX59Hp4YlRbl81813650rIp6lQPXNu8V4nRz8PceSjJaU3fDhrTyBygtLWX+/PlMnjyZ\nU6dOYbVaeeaZZzCGOO5HCCFE0xTsFlPfgN8JLP95+ne/qziRhZoTyEoJcXlCmGIxcF7HWGbt34+m\nQqUWx+Ud/KHy7ayebdpAQUHFc11nMPAfp5Oy0w9jRMeOFTehAgXWstYlDoZ6amo2e99ffV6nPpvO\nJSUlzJs3j6lTp1JSUkJaWhrjxo2TnhVnAUlmhWjiQtk1DQzAAIeWHMJTolKm6digGSvtblqMRnSK\nUuVakkb9RgxUt+4vr76aUbt2sbKoiD+42vLmv2Mp+4c3NJf6zX8tVVXUMh26zcZKgSvoHwMNTEZ9\nz1Hd2IDqnlfTNFatWkVaWhq7du3itttuY/bs2Vx22WV1X4AQQoioC9Zg0WA2VGmQ6P97gSUwxthY\nFl56KSuKiipqZoO+ll98gdMJYcxVTjxzfkHT8N4/LgOK46Cty/u1BqgQF3v6hlKx242OistY3HLB\nBUzv3DloU8Rg6whWyxpqLK3LqWl9xub4HhdqnNc0jXfeeYfhw4eze/du7rjjDrKysujatWvdX1g0\nS5LMCnGGCAzAplwTm3McpP3byHaPoUqSuKBrV54qv+Krg4rktqbrzDUJlgjanU7mHziAS1XZ6zmA\npzgZ3DrQVGKUyvNf438xUvw3Q0gJan0DZG3rr263ecuWLaSmppKbm8vvf/971qxZw8033xzeBQgh\nhGg0ocxTDfZ72cnJQZsmBUti7XbIWe+kMMHB6kwjZW7QbXfwvx2MuFwGPB5Qr3CApp0+kdUUdK9d\njPpkPsSq4FG47rcEpt9wOkG1GI20CLKGUDahq6tljeSpaX2EEufz8vKwWq3YbDauuOIKPvnkE266\n6abILEg0WZLMCnGGMpgNXGs28PgDTlbk72VAshGzX7I7ODGR7q1aVRp/U59GUL7rSosXQ1lZ5UTQ\nfwdbi1GJiXejjjCh6+Xg2UEB81+ToMp9rkYUbLc5ObmICRMmsHDhQgwGA/Pnz+exxx5Dr9dHb6FC\nCCGCqmmUXaDqGiwGPkewZoS+Eph4vR6bw8GWkycr18FudvD6Qj3OtsfhL4UQo8F0BTRQYzXe13TE\nrDbBZgMxPxpRFB0uVDQFuh43siQ9kXd3tmLlzw7u7mxkRooBux0ybb4N49BKkIJpSC0rhOd2VEMd\nPnyY8ePH89JLL3H++eezYMECBg8eLD0rzlLy/7oQzZjT7qxU2xPI7nRi9eThSlJZ59HR3Vl159l/\n/E2wnema/jjwnWaWlHg3loEq15n9d7CzBxkpvsyAJWCkTqTmvtaF/26zXu+isHABXbtO5MSJEwwZ\nMoSMjAwuuOCC6CxOCCFEjUI9afUJ1mAx2HNU14hxX0kJE/fsqdKhWNPA7dHgEU43c1IApTxI6sDj\nURk0z0Gnr7zx8JHSVmzTjoMCOy84xrsX7WKGuQszCJyf7r9hXPfGTdCwWlb/54hGrHa5XMyfP59J\nkyZx6tQp/vnPf/LMM89w/vnnN/5iRJMhyexZyOm043DYMBotGAxRyhxEvfgnr1A+jsel4tErtFzV\nlb43Vb7m5L+jXKKq5BQWVgp+tY3+qe2PA99ppi+RVRSqXGeusnsccPoaibmv9WE2w2efaSxcuBqb\nbRj/+tcObr75ZubMmUO3bt0af0FCCCFCFiyeddsKhWs2g2kTCf17V/qbJ1h8yty7t8pzpCclkWsy\nVdxi2nLyJNb8/IppAD6+2bGaBsTgTWT9al4p857MEqOBR2Hr8RJSnnTy7uaT3kTWz4IDByrPZbeF\nd6RctJLR+tI0jffff5+0tDTy8/O59dZbmT17Npdffnm0lyaaAElmzzJOp528vP6oqgudLg6TKVcS\n2mbCaXdWJK+6OB3tHmznHcfj8f5D/+LbO9H1aVUp2bQYjcQoCp7yjsGLCwsrNYaobfRPbclufDzo\ndN5kNjYWHn646i5vbXU84Q7S9bV161YmTRrGxx9/zKWXXsoHH3zArbfeiqIojb8YIYQQdRIYz67b\noWfTnRvRSj2g70rhnCH0+PuCKgltYMz0f454vZ7MvXuJ1+srbjEphYWoQWbDVpzMUn4y62vm5FFo\n/XUCJ1Z4x/Pw50L4SyFrzyugf94h4p2toDUV43jQwBPQnLGx6lSboh9++IFhw4bx6aefcvnll/PR\nRx9xyy23RHtZogmRZPYs43DYUFUX4EFVXTgcNklmm4mKWbIevB8Bj15B0zTK9PC9SauSbJoNBh5O\nSGBhQYE3wGoaGXv2kHHxxRVBPDs5uaILY2DSWVOya7eD1epNQnU6mD8fBg+u+/uKdpAuLi4mIyOD\n559/njZt2jBnzhyGDBlCXFxc4y5ECCFEvQWetCY+52B3qQZqDLg1tI1X4Lit5r95/J8jXq/Hmp/v\nTWDLGySqgE7TiFEUlPKPDyckVOo5Ad6a2eWL9Rwrc9Mr1sg3/zbwwM/w2mtAD4f3dFbn3STufF4c\nv6hUGsfjG+9Tsa4mUKfa2I4cOcKECRN44YUXMBgMzJs3jyeeeEJ6VogqJJk9yxiNFnS6uIqTWaPR\nEu0liWocXHSQohVFtB3QlsTBiVVmySakJHD48li+fW0/tmthV/fgXYhTEhJYcuiQd/wN8NmxY6xz\nOslOTmbj8eMsLiykTNNY53TSvVWrKslwdU0mfCeqquq9XlxcXL/3Ga0g7Xa7eeGFF5gwYQJOp5PH\nHnuMSZMmceGFFzbOAoQQQoSV/0mr0wJKCwWttAz0ZSg9f8RofDLk5/C/cuyfwPo6GlfXMNFuh05f\nGVg1qHI8W7oUdu6EbzcZK7r6a5qObj91omPbeFadvxtXCw/3XHQhS4OUtgS7GtwU+k2Em9vtZsGC\nBUycOJHjx4/z5JNPkpGRQXx8fLSXJpooSWbPMgaDGZMpV2pmm7hdo3axf+Z+AI594h3G3qp7K9o9\n2A6AhBTvdSUt/QC9XNBji8LoW5KDXuf1JaQZe/bw2bFjqHhnvPrG8vg2g6ubL2s2GGCrAdsywHI6\nYIbzRLWx63fWrFnDsGHD2LZtGzfeeCNz587lyiuvbLwFCCGEqLfamh+Ct6N/j9ye5TWz20jov6BO\nf/NUaWBYQwK76OBBVhQV0ePXtsy7KbEiLgbOb83PB44aIM0EPRyom4y8uN1AXJyB3NzEOsXBptJv\nIpxWr17NsGHD2L59O3/+85+ZM2cOV1xxRbSXJZo4SWbPQgaDWZLYJsxpd7J/1v5K3yt4uYCTW05W\nOpX1v3Ycg0aH9W6oZrya2WAg4+KLWed0VlyZ8vglsgqc7uZYPhePHg56dtGzcZebfw814tlsqBQw\n63OiGu1d5O3btzNs2DBWr15NcnIy7733HrfffrvUxQohRDMR2D/ClGuqMaE1mK8Frq3z69R0M8nf\nooMHeWzHDgA+0Y7BmKPwZkdKtxrIyakc6/7yl/Krxlu9m8SAtydFPfpFNJV+E+GwdetW0tLSWLNm\njfSsEHUmyawQTUxhTiGBnSXiEuM4/v3xinpZ3460/7VjX4fj6lRXC+Sr+UlJSICtBixDnLim5YFL\nhR14uzBO00GaCdd2Q6WAWZcT1WjuIh87doxJkybx7LPPcu6555KVlcVTTz1FixYtGmcBQgghwiKw\nf4TD5qg2mW2o2hoYAqwoKqr8jWuPQJ+j3tNXKj/2uuvKk9lyer23VKc+t5ui3W8iHI4ePUpGRgbP\nPfccrVu3lp4Vol4kmRWiCfDNcr1uh56WG05U+tl5151Hp5GdOPbxsUqJq8FswJRrqvWqlT//wNy9\nVasqO86ZNnBf4QC9Wnm0QKwKPRzE5BvqHTCjsYtcVlbGokWLeOaZZzh69CiDBg1i8uTJXHTRRZF9\nYSGEEGFndzpZf1kJ3eMUcGkhbeTW93VqO5H1GdC2LZ8c85YDVXQkjlWJ6eUgJaXyY1esqPzYnj3h\nrrvqd1upOTeFcrvdLFy4kAkTJuBwOKRnhWgQSWaFiBLfvN9f9L25Kb8FXbao9EwDt7v8FxRQ9Apd\npnepNnH1XqGq3460L0DbHI6Kry0W0L9txFXenIIYvHegynSQZ+Thh+sfMBt7F/mzzz4jNTWVH374\nAYvFwty5c+nRo0dkX1QIIUREVMw9v0DlqiyFeYfac9UtCWE/la1tvnqgwYne+e4vFxSw8cQJPJpG\njKLj2ceMVeLlgAHwySenv37kkfpNAfAJ5XZUtMt7An388cekpqaybds2+vfvz9y5c+nevXu0lyWa\nMUlmhYgC/3m/HkVPFy2LqzZdgd6N91qvDs6/8Xwuzrg4LIlrMIEBOzvGRPFaA/MfN7Bxp7c5xXno\nmfOyG/V7Iy1+NpDyYv1fr7F2kXfu3Mnw4cNZtWoVnTt3ZuXKldx1111SeyOEEM2Y/9zzzd00vrqt\nJdcmhf96ceB89ZzCwlpPaQcnJjI4MTHoia5/MulLXF9+GRITIdI5XCTLe+qaJG/fvp20tDQ+/PBD\nunTpwrvvvssdd9whsVk0mCSzQkSB/7zfGA16KXl83+MK3HqIKQNdnK5SIhsJ/gG71KPyxEsOeM1A\nixaQm2vAbDZgt8Ov5wD9IGVRw4Og/y5yuHeLnU4nU6ZMYd68ebRo0YLp06czdOhQWrZs2fAnF0II\nETVOp51+JWu4SmnHZq1blbnn4eTfxThGUVhcWIhb04jx6Hi2pYnBfauPy4E1tsGSye7dYeNG+PZb\n+PBD+PLLyG3uRqq8py5JssPhYNKkScyfP59zzz2XWbNm8fTTT0vPChE2kswKEQG1JWqB834HJf8/\nLrv4EtpcqqfDenfINbAhrydgt9judLKvpIRYRUHTNNRSHXxvBBVKS71rh8rBKiUlbMsJORCGkvB6\nPB5efvllxo0bx5EjRxg4cCBTp04lISEhfAsWQggRFf43meYocWxpv5TeCf1rrWWtiX9MBKp8np2c\nzMZdbjYcKOG7dgVoCqiaypAXHXTXGUJOCIMlk99+e7qcyO2GmTPhnXfq/VZqFFjeEx8PmZkN30QO\nJUkuKyvjpZdeYvz48RQXF/Poo48yefJk2rVrV/8XFiIISWaFCLNQErVg8377AiRR7XidkF472BWn\n8uvEpeW7zKkdOjD/wAFKVRXFo3D57vZsm5eAVj4mICbGG+gi2bAplOcO5b+jzWbDarWSl5dH1S0o\nmgAAIABJREFUv379+Oijj+jVq1d4FimEECLq/G8yobm4o+V2kgx31/v5/EtsYhQFBSjTtEqfx6JD\nG2aizA3arEPeJohlOtTvjXWKhcF6Rbz7buXfOXiw3m+lVv7lPfHxYLWG58pxbT0wcnNzsVqt/PDD\nD1x//fVkZ2dLzwoRMbpoL0CIM02wRC0Yg8FMUlJ62Gb++gL0+N276Z+Xh93p9K7H4aBUVVEBt6aR\ntX8/JeVfezSN7etaot9hQKeD2Fh49llvgPMFq5iY8DdsCuW5a/rv+PPPPzNgwABuuOEGjh07xptv\nvsnatWslkRVCiDOM7yYTxKDTxWE0Wur8HHank8y9eys2fH0lNm5Nw6VpVT53aSruKxyoPxhQRpjQ\n5VyCboSJFrvq1tHfl0xOnnw6eXzkkcq/E/h1uCxaBDffDFu2QHo6FBfX/LeJ3e49tbXba3/uYO8L\nID8/n7vuuosbb7yREydOsHz5cr744gtJZEVEycmsEGFW3Y6l0+6s0xidugpsWmFzOLwdio1GYhQF\nVfMOr9UARVXQVA3KdGgbvF2KO3WqfPUokg2bAp8bql59Cvbf8fjx40ybNo05c+YQGxvL5MmTSUtL\n45xzzgnf4oQQQjQZwW4y1UXgSeyt8fHEKAqUn8ZqWvlprKKgU3yf69B+NOKJgbhdBrKfNlD8+/qP\n0PF/jK8J1IoV0Lbt6XE9NXU1XrTI+3sDBoTW/XjRInjsMe/nvu7JNZ2m1qdRlP/7+vXXX5kyZQrZ\n2dm0aNGCadOmkZqaKj0rRKOQZFaIMAuWBDrtTvL656G6VJQ4SFi6hYT+vcN2KguVm1b4N8cwGww8\n27UrQ3buRNU0Wuh0PB2TfLpL8S5Dtc2dQmn7X1++564uiPr/d7zuOpWfflrC3XePobCwkJSUFDIz\nM0ksH4kghBDizBG4+WswmOsdL/1vJ3k0jfeOHCFOURjUvj09jyTw9NPAFQ6UH438az4Udyivn11g\niFj3fV9CGphwBktUgyWmtSW0gfNsV6zwPqa6Der6lhV5PB4WL17M2LFjKSoq4qGHHmLq1Km0b9++\n9gcLESaSzAoRAYFJoMPmQHWp3pKf0jIKPvqWQxeOwmTKDVtCazYYyDWZgo4QGJyYSPdWrSr97K7Y\npjF7rqYgajaDx/MV//znUDZs2IDZbOa9996jT58+0VuwEEKIiHDanRTmFFK4uBCtTEMXp8OUa2rQ\nbaZ4vR7V72sN7+lrp5YtKV5rwLMZtI0GPDFQvBbS08tfK4KbuVB9wlnf3/MXOM92wADvx+o2qOsz\nB37t2rUMHTqUTZs20bdvX1avXi2lPiIqJJkVohEYLUZ0cTpUlwdiy6DHBlTVhcNhC+vpbOBYgJp+\nFslT10A1dSWuLoju3buXkSNH8tZbb9GhQwdee+017r//fplJJ4QQZ6CKG0wlqjfjBFSXisPmCDmZ\nDdYEsdjtRgcVCa0Cp28vWeqexIVLdQlnfX/Pn/9V5lCuJtelrGj37t2MHDmS5cuX06lTJ9544w3u\nvfdeic0iaiSZFaIRGMwGTLkmCtdsprBdGlq37fVuZNHc1FaLExhEu3c/wfjxM8jKykJRFCZMmMCI\nESNo1apVtN6CEEKICKu4wVSeyKJ4Z64bLaHNk/XVxpaoKgowvGNHZnTpgsVopEV5CU6sojAwIYGU\nhARvshvB3hC1CTXhrGti6v+4UH8Xat/gPn78OJmZmcyZM4eYmBgmTZrE8OHDpWeFiDpJZoUoF8pM\n04YwmA0YzNeS4FxQ70YWdRHp9xOqUGpxzGb4wx9UXnvtNe65ZzQHDx7k/vvvZ8aMGXTs2DEayxZC\nCNGITt9gUlFiFBIeTiAhJaHWU1nfaey+khJKVBUNbz48c/9+upxzDoMTE6stwYHGvaVUsWa/+BxK\nwlnXxDScVFUlJyeH9PR0CgsLeeCBB8jMzKRDhw7RWZAQASSZFYL6dfKrr4Y0sgjVoq+dDHnR4W3w\nNNkQ0fdTm1Bqcex2O1arlW+//ZZrrrmG5cuXY45mBi6EEKJR+W4w1aXrv/8c9WCXXFcUFTE4MbHG\nEpzG1ph/bzTU119/jdVqZf369fzxj3/k3Xff5Q9/+EO0lyVEJZLMCkH9O/lVx9eJUd/7F9yXro34\nKaw/u9PJUyV5lP1Dhb/qKB1hwmYzRC1Y1lSLs3//fkaPHs2yZcto3749S5Ys4YEHHkCnkxHYQghx\ntvHeYAotifWdxvo6FQNVEtoBbduGfY0NFe6/NyJh3759jBo1ijfeeIPf/e53LF26lPvvv19is2iS\nJJkVgvp18quO/xgeYktg9jJ03SeHtXNxTWwOB56Y8tCuqeh6ObBYorsjHXiN69SpU8yaNYsZM2ag\nqipjx45l9OjRtG7dOnqLFEIIEXENnbkeODfWP4FVgDvj4zmlqgxo25bBTXB8Wzj/3gi3kydPMmPG\nDGbNmgXAM888w8iRI6VnhWjSJJkVgrp18quN/xgetFjYdBXqFdvC3rm4Or5mF6WqSoyi49lBxiaz\n66tpGq+//jqjRo3il19+4d5772XmzJkkJSVFe2lCCCEizH+zt75jd2wOBy5VxQOgafRV4lnrPgqK\nhurW8ZdfOzG4b9O4UhxMOP/eCBdVVVm2bBmjR4/mwIED/PWvf2XGjBl06tQp2ksTolaSzApRLlxN\nIPybWHjH8Gxu1M7FNc2bjabvvvuOoUOHYrfbufrqq1m2bBnXXntttJclhBAizKo7ffXf7K3r2B0f\ni9FIXHl34jidjm55nfhqUSfUqxzoNhsp/psB+ob7HYVXNJpOVeebb75h6NChfPPNN/Tu3Zs333yT\nvn2b+H9AIfxIMitEmPk3sfDWzP6tUWtmoeZ5s43t4MGDpKenk5OTQ7t27Xj55Zd56KGHpPZGCCHO\nQDWdvvpv9tZl7I6PtwuwgezrTBQneTds0RtYMgpc2wxN7tpuU/bLL7+Qnp7O0qVLSUhI4JVXXuEf\n//iHxGbR7EgyK0QEnG5ikUQktoibytidmvz222/MmTOHzMxM3G43o0ePZsyYMbRp0ybaSxNCCBEh\nNZ2+1qdjsY/d7o15bjfo9QZvY8Mkojortjk6deoUWVlZzJgxA4/Hw5gxY0hPT5eeFaLZilgyqyhK\nS2At0KL8dZZrmjZBUZQLgDeBi4E9wL2aph2L1DqEqC9ft8SmdFUXmn5bf03TePvttxk5ciR79+7l\n7rvvZtasWXTu3DnaSxPirCexWURabaevoXYsDpST44174P2Yk3M69jWla7tNlaZpvPnmm4wcOZL9\n+/dzzz33MHPmTC655JJoL02IBonkXYJS4E+appmAHsAtiqL8ERgN5Gqa1hXILf9aiCbF1y1x/O7d\n9M/Lw+50RntJFYK19W8qNmzYwPXXX899992HwWDg888/Z8WKFZLICtF0SGwWEWUwG0jOTub8/ueT\nnJ1cr8RVhNd3331Hv379uP/++4mPj8dms/H2229LIivOCBFLZjWvE+Vf6sv/pwF3AkvKv78EuCtS\naxCivvy7JbpUFZvDEfT3nHYnezP34rQ3XrLra+sfE9N02voXFhbyyCOP0Lt3b3766ScWLlzIhg0b\nuOGGG6K9NCGEH4nNItKcdif51nyO5R4j35oftviYkgItWoCieD+mpITlac9oBw8e5KGHHqJPnz7k\n5+fz0ksvsX79eq6//vpoL02IsIlozayiKDHA90AysEDTtG8URWmnaVpB+a8UAu2qeexgYDAgrcFF\nowvslmgxVm1SEY4RA/XRlNr6l5aWkp2dzdSpUykpKSEtLY1x48ZhaELXsoUQlUlsFpEUjo7FwZjN\n8MUXTSP2NXUlJSXMmTOHadOm4Xa7GTlyJGPHjuW8886L9tKECLuIJrOapnmAHoqiGIF3FEW5MuDn\nmqIoWjWPXQQsAujdu3fQ3xEiUkIZbxOpgB3S+qJcH6RpGu+++y7Dhw/n559/5vbbb2f27Nl07do1\neosSQoREYrOIpIZ2LK5JtGNfU6dpGitWrGDEiBHs2bOHu+66i6ysLLp06RLtpQkRMY3SzVjTNIei\nKF8AtwCHFEVpr2lagaIo7YHDjbEGIeqqtvE2kQrYTbXxlE9eXh6pqal88cUXXHHFFXzyySfcdNNN\n0V6WEKKOJDaLSGhIx2JRfxs3bsRqtbJ27Vq6d+9Obm4uf/rTn6K9LCEiLmI1s4qitC3f9UVRlHOA\nm4CfgFXAg+W/9iDwXqTWIEQk+QL2JZMvCdsV46bceOrw4cM89thjXH311WzevJkFCxawadMmSWSF\naEYkNovGYDAbSEpPCiku2u2Qmen9KOru0KFDPProo/Tq1YutW7fywgsvsGHDBklkxVkjkiez7YEl\n5bU5OuAtTdM+UBTFDrylKMojwF7g3giuQYiIqu+IgeoEazwV7dNZl8vF/PnzmTRpEqdOneLpp59m\nwoQJnH/++VFdlxCiXiQ2i0ZV01z0pj5qrikrLS1l3rx5TJkyhd9++43U1FTGjx+PMUiPDyHOZBFL\nZjVN2wz0DPL9YqB/pF5XiOYiWIAPpfFUY9E0jQ8++IC0tDR27tzJrbfeyuzZs7n88sujtiYhRMNI\nbBaNqbZkNdioOUlma6ZpGu+99x7Dhw9n165d3H777WRlZXHppZdGe2lCREWj1MwKISqrLsCH0niq\nMfzwww8MGzaMTz/9lMsvv5yPPvqIW265JSprEUII0TzVlqz6Rs35YmFTGDXXlG3evJnU1FQ+//xz\nunXrxscff8yf//znaC9LiKiKWM2sEKJ6wQK8j9lgID0pKSqJ7JEjRxgyZAgmk4nvvvuOefPmsXnz\nZklkhRBC1Jn/XPSYGNi3r3JtrG/U3OTJcsW4JkVFRTz++OP07NmTTZs2MX/+fPLy8iSRFQJJZoWI\nCv8A3xR2o91uN/PmzaNr164sXLiQJ554gvz8fP75z3+i1+ujuzghhBDNki9ZHTQIFAVefNF7Kykw\noU1Pl0Q2GJfLxZw5c+jatSsvvfQSTz31FDt37uSpp54iNlYuVwoBkswKERVNaTd69erVdO/eHavV\nyjXXXENeXh7PPvss8fHx0VuUEEKIM4LZDJ06QVlZ8NtIoipN03j//fe58sorSUtLw2w2s2XLFubN\nm8cFF1wQ7eUJ0aTIto4Q5Zx2Jw6bA328HnexO+Lz8aI9/H3btm0MGzaMNWvW0LVrV95//31uu+02\nFEWJ3qKEEEKccaQ2NnQ//vgjqampfPrpp1x22WWsXr2av/zlL9FelhBNliSzQuBNZPP656GWqqAC\nOtC10IV1fmy0mzr5HD16lIyMDJ577jlat27N7Nmzeeqpp4iLi4vquoQQQpyZfLeRqhvRI6C4uJgJ\nEybwwgsv0KZNG7Kzs3nyySel1EeIWkgyKwTgsDlQXeWJLIAKqkvFYXPUOZkNHLljdzq5YWMeLk0l\nTtHxRU9TVBLasrIyXnjhBSZMmIDD4WDQoEFMnjyZtm3bNvpahBBCnF2ifRupqXK73Tz33HNkZGTw\n66+/8vjjjzNx4kQuvPDCaC9NiGZBklkhAKPFiC5OV/lkNk6H0VK3Oa/BRu7klDko9agQA6VlKjmb\nHZivbdxk9pNPPiE1NZWtW7dyww03MHfuXEwmU6OuQQghznZN6ZZOfQSbjy7q76OPPmLYsGH89NNP\n3HjjjcydO5crr7wy2ssSolmRZFYIwGA2YMo1NbhmNujIndZG6KoDTYUyHWwzwrWReBdV7dixg7S0\nND744AM6d+7MO++8w5133il1sUII0cjsTif98/JwqSpxOh25pujc0gnG1zOiprhX3Xx0UXc//fQT\nw4YN46OPPiI5OZlVq1bxv//7vxKbhagHSWbFWS0wgDe0PjZ4kwsD/x5iwn2FA/2PRlIWRP6PF4fD\nwaRJk5g/fz7nnHMOM2bMYOjQobRo0SLiry2EEKIqm8OBS1XxAC5VxeZwNFoyW1OyWtEzwqWii6u+\nV0SwzVpJZuvm2LFjTJw4kQULFnDuueeSlZXF008/LT0rhGgASWbFWSvUAF4X1TW5sC0wYLMZsDwZ\n2eBfVlbGSy+9xPjx4ykuLuaRRx5hypQptGvXLnIvKoQQolYWo5E4na7iZNZirFsZS33VFusqekZ4\nau4VIR2J66+srIyFCxfyzDPP4HA4ePTRR5k8eTIXXXRRtJcmRLMnyaw4a4UawOsqWJOLxmh88fnn\nn2O1WtmyZQvXXXcd2dnZ9OzZM7IvKoQQIiRmg4Fck6nRa2Zri3UVPSPKk93qekVIR+L6+eyzz7Ba\nrfz444/Ss0KICJBkVpx1nE47DocNfe/rQgrgobDbIWe9E3o4SLmqcRt75OfnM2LECN59910uvvhi\nli9fzt133y21N0II0cSYDYZGr5OtLVn17xlRW68I6Ugcup07d5KWlsb7779P586dWblyJXfddZfE\nZiHCTJJZcVZxOu3k5fVHVV3oWsSR/N6nuNcn1avZk4/dDpYhTlzT8sClsnhj44zf+fXXX5kyZQrZ\n2dnExcUxbdo0UlNTadmyZURfVwghRPMRSrIajp4RwsvhcDBlyhT+9a9/0aJFC6ZPn47VapWeFUJE\niCSz4qzicNhQVRfgQVVduC9dS9JN6Q16TpsN3Fc4QO8dv+PSItvYw+PxsHjxYsaOHcvhw4d56KGH\nmDZtGu3bt4/I6wkhhGjeJFmNPI/HU9Gz4siRIwwcOJCpU6eSkJAQ7aUJcUaTZFac8fy7OBq7WdDp\n4rwns7o4jEZLg5/fYgH920Zcbu/4nbjYyDX2WLt2LUOHDmXTpk307duXDz/8kN69e0fktYQQQghR\nuy+++AKr1crmzZu59tpryc7O5uqrr472soQ4K0gyK85owbo4mky5OBw2jEYLBkPDi3/MZm+34pz1\npojVzO7evZuRI0eyfPlyOnXqxBtvvMG9994rtTdCCCFElPz8888MHz6cd955h6SkJN566y3uuece\nic1CNCJJZsUZxdfcyZeoBuvimGQ215rE2u01d2y0O52VOlJ6m2IYgPAmscePHyczM5M5c+YQExPD\npEmTGD58OOecc05YX0cIIYQQofn111+ZNm0ac+fORa/XM2XKFIYNGyaxWYgokGRWnDEqNXfSxWEy\n5WK0dKtzx2K7Hfr3Pz1LLze3ckJrdzrpn5dXMSsw1xT+Zk+qqpKTk0N6ejqFhYU88MADZGZm0qFD\nh7C+jhBCCCFC4/F4eOWVVxg7diyHDh0iJSWFzMxMEhMTo700Ic5aumgvQIhwCWzu5HDYKro4XjL5\nkiqD4qtjs3kTWY/H+9Fmq/zznM0OSjwqHsCleps9hdPXX3/NH/7wBwYOHEhSUhJ2u51XX31VElkh\nhBC1ctqd7M3ci9PujPZSzijr1q3jmmuu4dFHH6VLly58++23LFmyRBJZIaJMkllxxjAavc2dIKZS\ncyeD2UBSelLInRwtFu+JbEyM96PFcvpndjv8e6gRrVQHZRBL+Jo97du3j/vvv59+/fpRUFDA0qVL\n+c9//sMf//jHsDy/EEKIM5uvT8Tu8bvJ658nCW0Y7Nmzh3vvvZfrrruOoqIili1bxldffcU111wT\n7aUJIZBrxuIMYjCYw9LcyWz2Xi0OVjNrs4FnswHSTChXOxjYx4jZ0rArxidPnmTGjBnMmjULgGee\neYaRI0fSqlWrBj2vEEKIs0uwPhEykqd+Tpw4wfTp08nKykKn05GRkcGIESM499xzo700IYQfSWbF\nGcVgqL25Uyi8DZ2qft93auvabiBut4GUJ+v/GqqqsmzZMkaPHs2BAwf461//yowZM+jUqVP9n1QI\nIcRZy2gx1rlPhKhMVVVeffVV0tPTKSgo4O9//zuZmZl07Ngx2ksTQgQhyawQdVDTqW1dfPPNN1it\nVv773//Sq1cv3nzzTfr27RvOpQohhDhD+c9P9z959fWJCPYzUbv//Oc/WK1WvvvuO/r06cPKlSul\n1EeIJk6SWdFsVRfMI626U9tQHDhwgNGjR7N06VISEhJYvHgxKSkp6HRSvi6EEKJ2weanBya0ksTW\nzf79+xk1ahSvv/46iYmJ5OTk8Pe//11isxDNgCSzolmqLZg3NadOnSIrK4sZM2bg8XgYM2YMo0eP\npk2bNtFemhBCiGZE6mLD59SpU8ycOZOZM2eiaRrjx49n5MiRtG7dOtpLE0KESJJZ0Sw1l2CuaRpv\nvvkmI0eOZP/+/dxzzz3MnDmTSy65JNpLE0II0cw47U5K9pWgxCpoaFIXW0+aplX0rPjll1+47777\nmDFjBklJSdFemhCijiSZFc2G02mv6FRstHRr8k0u1q9fj9Vq5euvv6ZHjx68+uqrXH/99dFelhBC\niGbI/0aSEqPQflB7ElISmuRGblP27bffMnTo0IqeFa+//jr9+vWL9rKEEPUkyaxoFpxOO3l5/VFV\nFzpdHCZTbpNtclFQUMCYMWNYsmQJbdu25cUXX2TgwIHExMREe2lCCCGaKf8bSRoaLTu1bFKxr6k7\ncOAA6enpvPrqqyQkJPDvf/+bBx98UOpihWjmJJkVzYLDYUNVXYAHVXXhcNhIMpubVCAvKSlh7ty5\nTJs2jdLSUoYPH864ceM477zzor00IYQQzZyM3amf3377jdmzZ5OZmUlZWRmjR49mzJgx0rNCiDOE\nJLOiWTAaLeh0cRUns0ajpd7PZXc6sTkcWIxGzIaGJ8OaprFixQpGjBjBnj17uPPOO8nKyiI5ObnB\nzy2EEEKAjN2pK03TePvttxk5ciR79+7l7rvvZtasWXTu3DnaSxNChJEks6JZMBjMmEy5FTWzBkP9\nZuPYnU765+XhUlXidDpyTaYGJbQbN24kNTWVL7/8ku7du5Obm8uf/vSnej+fEEIIUR0ZuxOa77//\nHqvVyldffYXJZOKVV17BYrFEe1lCiAiQQgHRLDjtThzPJWI8+GS9E1kAm8OBS1XxAC5VxeZw1Ot5\nDh06xKBBg+jVqxc//vgjzz//PBs2bJBEVgghRL047U72Zu7FaXdGeynNVmFhIQ8//DDXXHMN27dv\nZ9GiRXz//feSyApxBpOTWdGk+Hcs9iWt4ZwpazEaidPpKk5mLca61RyVlpbyr3/9i8mTJ/Pbb79h\ntVp55plnMNbxeYQQQpz5gsW0YD/X77iO/Ds9zWZ2elNTUlJCdnY2U6dOpbS0lLS0NMaNG4chDKVE\nQoimTZLZM1RtAbQpCtax2GAwh3WmrNlgINdkqnPNrKZpvPfeewwfPpxdu3Zx2223MXv2bC677LJ6\nrUMIIcSZrbqYFuznytsPoLkeavKz05saTdN45513GD58OLt37+aOO+4gKyuLrl27RntpQohGIsns\nGai2ANpUBXYsLsxdj2N7Ivp4fUUHR2J1rNpnpLcdzPV8S2aDoU51slu2bMFqtfL555/TrVs31qxZ\nw80331y/FxdCCHFWCNaF3z8W+/9cM32Pov8HGjHSqThEeXl5WK1WbDYbV155JZ9++ik33nhjtJcl\nhGhkEauZVRSlo6IoXyiKslVRlB8VRRla/v0LFEX5VFGUneUfz4/UGs5WwQJoc+DrWAwxKFuvovCB\n7uwev5t8az7J2cnEDLqEYZqJ1BcNWIY4eWLdXuzOqrVFdqeTzL3Bf1YXRUVFPPHEE/To0YNNmzYx\nf/588vLyJJEVQjRbEpsbzy+/WPB4vDEtWBd+/5in676LrqtacsnkS+SKcS0OHz7M4MGD6dmzJ1u2\nbGHBggVs3LhRElkhzlKRPJktA9I0TdugKEob4HtFUT4FHgJyNU2brijKaGA0MCqC6zjrhHOMTWPy\n71hc8kU/ClyeiitX7mI3X3VKYrMHPJc58UzLY2GZypK8yh2Jw9Gt2OVysWDBAiZOnMiJEycYMmQI\nGRkZXHDBBZF420II0ZgkNjcCux1uuslMly659OplY9CgqiU/Qbv03xSlBTcDLperomfFqVOnGDp0\nKM888wznny/7LkKczSKWzGqaVgAUlH9+XFGUbcDvgDsBS/mvLQFsSMAMq3CNsYkGg8GMwWDGeYuT\nQ7PyKg2HtwBxcVBytQNNr6IppzsS+xLWYN2K61IX++GHH5KWlsaOHTu45ZZbmDNnDr///e8j9n6F\nEKIxSWxuHDYbuFzwww9mtm0zc9ll0Ldv1d/zxTxRPU3TeP/990lLSyM/P59bb72V2bNnc/nll0d7\naUKIJqBRamYVRbkY6Al8A7QrD6YAhUC7ah4zGBgM0KlTp8gv8gzT3ANksOHwZiA3F3LWG1kco6OM\n0x2J7U4nNoeDeL2+Xt2Kt27dSmpqKp988gmXXXYZH374Ibfeemtk36QQQkSRxObIsVi8m68ul/ej\nTIapnx9++IHU1FQ+++wzLr/8cj766CNuueWWaC9LCNGEKJqmRfYFFKU18CUwVdO0lYqiODRNM/r9\n/JimaTXeEendu7e2fv36iK5TNC++5NWXrPpfLc5OTqbY7Q6pW3FxcTEZGRk8//zztGnThgkTJjBk\nyBD0en1jvA0hRJQoivK9pmm9o72OaJHYHHl2u/eE1mKpf8PCs9WRI0eYMGECL7zwAgaDgYkTJ/L4\n449LbBbiDFef2BzRk1lFUfTACuA1TdNWln/7kKIo7TVNK1AUpT1wOJJrEGcm/47EmXv3VrpaXOx2\nk56UVOPj3W43zz//PBkZGTidTh5//HEmTpzIhRde2AirF0KI6JHY3DjMZkli68rtdlf0rDh+/DhP\nPvkkGRkZxMfHR3tpQogmKpLdjBXgZWCbpmlz/H60Cniw/PMHgfcitQZxdrAYjcTpdMRASFeL16xZ\ng8lkYujQofTq1Yu8vDwWLFggiawQ4ownsblxHFx0kLyb8zi46GC0l9JsrF69mu7du5OamkqfPn3I\ny8tj/vz5ksgKIWoUyZPZvsA/gC2Komwq/94YYDrwlqIojwB7gXsjuAZxFjAbDOSaTBXXjqu7WvzT\nTz+RlpbG6tWrSU5O5r333uP222/H+7edEEKcFSQ2R9jBRQfZ8dgOAI59cgyAxMGJ0Vym93s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6ZNNG/eXL1ZROQy+XoDqJuttT/mfZ0K3JzfNxpjugJdAcqVK+eD0pxTkA2egkKDCFkaQlpCGsFh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\niIiIiIiIeI7CrIiIiIiIiHjO/wMwRQSY3VDjOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b902f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(16,7))\n",
    "p1=ax[0].plot(dJDF['N'],dJDF['Si'],'b.',label='SJDF')\n",
    "p2=ax[0].plot(dSJGI['N'],dSJGI['Si'],'c.',label='SJGI')\n",
    "p3=ax[0].plot(dSOG['N'],dSOG['Si'],'y.',label='SOG')\n",
    "p4=ax[0].plot(dNSOG['N'],dNSOG['Si'],'m.',label='NSOG')\n",
    "ax[0].set_title('Observed')\n",
    "ax[0].set_xlabel('N')\n",
    "ax[0].set_ylabel('Si')\n",
    "ax[0].set_xlim(0,40)\n",
    "ax[0].set_ylim(0,85)\n",
    "ax[0].legend()\n",
    "\n",
    "p5=ax[1].plot(dJDF['mod_nitrate'],dJDF['mod_silicon'],'b.',label='SJDF')\n",
    "p6=ax[1].plot(dSJGI['mod_nitrate'],dSJGI['mod_silicon'],'c.',label='SJGI')\n",
    "p7=ax[1].plot(dSOG['mod_nitrate'],dSOG['mod_silicon'],'y.',label='SOG')\n",
    "p8=ax[1].plot(dNSOG['mod_nitrate'],dNSOG['mod_silicon'],'m.',label='NSOG')\n",
    "ax[1].set_title('Model')\n",
    "ax[1].set_xlabel('N')\n",
    "ax[1].set_ylabel('Si')\n",
    "ax[1].set_xlim(0,40)\n",
    "ax[1].set_ylim(0,85)\n",
    "ax[1].legend()\n",
    "ax[0].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')\n",
    "ax[1].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f194a7a2630>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FUerrY+TlRdJWxLaHq6++ml/96lct288++yw/+tGP6NGjBwC/+MUvOPLIIwF/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6zsiR38C3vu9FD0n//8h65du7J+/XoSEhJ44YUXqF27ttNhiUgYUzErJc63zUfCtAT8AT8x0TGk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\niIiIiIiIhB0VsyIiIiIiIhJ2/j+D3PWkqQg2tgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b7bff28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(16,7))\n",
    "p1=ax[0].plot(dJDF['N'],dJDF['Si'],'b.',label='SJDF')\n",
    "p2=ax[0].plot(dSJGI['N'],dSJGI['Si'],'c.',label='SJGI')\n",
    "p3=ax[0].plot(dSOG['N'],dSOG['Si'],'y.',label='SOG')\n",
    "p4=ax[0].plot(dNSOGN['N'],dNSOGN['Si'],'r.',label='NSOG_N')\n",
    "p4=ax[0].plot(dNSOGS['N'],dNSOGS['Si'],'g.',label='NSOG_S')\n",
    "p4=ax[0].plot(dBaynes['N'],dBaynes['Si'],'.',color='purple',label='Baynes')\n",
    "ax[0].set_title('Observed')\n",
    "ax[0].set_xlabel('N')\n",
    "ax[0].set_ylabel('Si')\n",
    "ax[0].set_xlim(0,40)\n",
    "ax[0].set_ylim(0,85)\n",
    "ax[0].legend()\n",
    "\n",
    "p5=ax[1].plot(dJDF['mod_nitrate'],dJDF['mod_silicon'],'b.',label='SJDF')\n",
    "p6=ax[1].plot(dSJGI['mod_nitrate'],dSJGI['mod_silicon'],'c.',label='SJGI')\n",
    "p7=ax[1].plot(dSOG['mod_nitrate'],dSOG['mod_silicon'],'y.',label='SOG')\n",
    "p8=ax[1].plot(dNSOGN['mod_nitrate'],dNSOGN['mod_silicon'],'r.',label='NSOG_N')\n",
    "p8=ax[1].plot(dNSOGS['mod_nitrate'],dNSOGS['mod_silicon'],'g.',label='NSOG_S')\n",
    "p8=ax[1].plot(dBaynes['mod_nitrate'],dBaynes['mod_silicon'],'.',color='purple',label='Baynes')\n",
    "ax[1].set_title('Model')\n",
    "ax[1].set_xlabel('N')\n",
    "ax[1].set_ylabel('Si')\n",
    "ax[1].set_xlim(0,40)\n",
    "ax[1].set_ylim(0,85)\n",
    "ax[1].legend()\n",
    "ax[0].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')\n",
    "ax[1].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f194b42add8>]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WAIcddhgXXXQRCxYsaN+3ePFiWlpagOTEEo2NjRxxxBHMnDmTBx98kNraWgAa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WPHGDt2LKNGjSInJ4e+ffvSv39/rr76aqdDExERP7hQh2N/dUBWp+VfHD16lISEBEaPHk1eXh79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\nERERERFxnf8H+olTXi+Y8T8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194a5f1b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(16,7))\n",
    "p1=ax[0].plot(dJDF['N'],dJDF['Si'],'b.',label='SJDF')\n",
    "p2=ax[0].plot(dSJGI['N'],dSJGI['Si'],'c.',label='SJGI')\n",
    "p3=ax[0].plot(dSOG['N'],dSOG['Si'],'y.',label='SOG')\n",
    "p4=ax[0].plot(dNSOGE['N'],dNSOGE['Si'],'r.',label='NSOG_E')\n",
    "p4=ax[0].plot(dNSOGW['N'],dNSOGW['Si'],'g.',label='NSOG_W')\n",
    "ax[0].set_title('Observed')\n",
    "ax[0].set_xlabel('N')\n",
    "ax[0].set_ylabel('Si')\n",
    "ax[0].set_xlim(0,40)\n",
    "ax[0].set_ylim(0,85)\n",
    "ax[0].legend()\n",
    "\n",
    "p5=ax[1].plot(dJDF['mod_nitrate'],dJDF['mod_silicon'],'b.',label='SJDF')\n",
    "p6=ax[1].plot(dSJGI['mod_nitrate'],dSJGI['mod_silicon'],'c.',label='SJGI')\n",
    "p7=ax[1].plot(dSOG['mod_nitrate'],dSOG['mod_silicon'],'y.',label='SOG')\n",
    "p8=ax[1].plot(dNSOGE['mod_nitrate'],dNSOGE['mod_silicon'],'r.',label='NSOG_E')\n",
    "p8=ax[1].plot(dNSOGW['mod_nitrate'],dNSOGW['mod_silicon'],'g.',label='NSOG_W')\n",
    "ax[1].set_title('Model')\n",
    "ax[1].set_xlabel('N')\n",
    "ax[1].set_ylabel('Si')\n",
    "ax[1].set_xlim(0,40)\n",
    "ax[1].set_ylim(0,85)\n",
    "ax[1].legend()\n",
    "ax[0].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')\n",
    "ax[1].plot(np.arange(0,35),1.3*np.arange(0,35),'k-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Z</th>\n",
       "      <th>Si</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.029667</td>\n",
       "      <td>-123.436500</td>\n",
       "      <td>248.620295</td>\n",
       "      <td>67.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.029667</td>\n",
       "      <td>-123.436500</td>\n",
       "      <td>298.724014</td>\n",
       "      <td>73.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.029667</td>\n",
       "      <td>-123.436500</td>\n",
       "      <td>312.485544</td>\n",
       "      <td>74.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.163333</td>\n",
       "      <td>-123.551500</td>\n",
       "      <td>249.310468</td>\n",
       "      <td>68.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.163333</td>\n",
       "      <td>-123.551500</td>\n",
       "      <td>297.928316</td>\n",
       "      <td>69.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.163333</td>\n",
       "      <td>-123.551500</td>\n",
       "      <td>348.217366</td>\n",
       "      <td>76.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.318833</td>\n",
       "      <td>-123.799667</td>\n",
       "      <td>299.211146</td>\n",
       "      <td>66.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.318833</td>\n",
       "      <td>-123.799667</td>\n",
       "      <td>346.826687</td>\n",
       "      <td>70.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.401833</td>\n",
       "      <td>-124.156000</td>\n",
       "      <td>248.710873</td>\n",
       "      <td>65.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.401833</td>\n",
       "      <td>-124.156000</td>\n",
       "      <td>269.604692</td>\n",
       "      <td>70.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.443333</td>\n",
       "      <td>-124.337167</td>\n",
       "      <td>248.808959</td>\n",
       "      <td>68.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.443333</td>\n",
       "      <td>-124.337167</td>\n",
       "      <td>298.712730</td>\n",
       "      <td>70.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.443333</td>\n",
       "      <td>-124.337167</td>\n",
       "      <td>314.651658</td>\n",
       "      <td>77.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.591667</td>\n",
       "      <td>-124.637833</td>\n",
       "      <td>162.832911</td>\n",
       "      <td>70.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.726500</td>\n",
       "      <td>-124.680333</td>\n",
       "      <td>198.887917</td>\n",
       "      <td>65.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.726500</td>\n",
       "      <td>-124.680333</td>\n",
       "      <td>248.703513</td>\n",
       "      <td>69.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.726500</td>\n",
       "      <td>-124.680333</td>\n",
       "      <td>298.012014</td>\n",
       "      <td>73.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.726500</td>\n",
       "      <td>-124.680333</td>\n",
       "      <td>348.298456</td>\n",
       "      <td>80.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.882500</td>\n",
       "      <td>-124.993833</td>\n",
       "      <td>249.096075</td>\n",
       "      <td>75.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.882500</td>\n",
       "      <td>-124.993833</td>\n",
       "      <td>309.392440</td>\n",
       "      <td>80.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.962500</td>\n",
       "      <td>-125.147167</td>\n",
       "      <td>124.882272</td>\n",
       "      <td>66.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>4.0</td>\n",
       "      <td>49.962500</td>\n",
       "      <td>-125.147167</td>\n",
       "      <td>152.920744</td>\n",
       "      <td>68.27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Month        Lat         Lon           Z     Si\n",
       "211    4.0  49.029667 -123.436500  248.620295  67.85\n",
       "212    4.0  49.029667 -123.436500  298.724014  73.00\n",
       "213    4.0  49.029667 -123.436500  312.485544  74.76\n",
       "227    4.0  49.163333 -123.551500  249.310468  68.35\n",
       "228    4.0  49.163333 -123.551500  297.928316  69.99\n",
       "229    4.0  49.163333 -123.551500  348.217366  76.12\n",
       "246    4.0  49.318833 -123.799667  299.211146  66.73\n",
       "247    4.0  49.318833 -123.799667  346.826687  70.58\n",
       "261    4.0  49.401833 -124.156000  248.710873  65.86\n",
       "262    4.0  49.401833 -124.156000  269.604692  70.17\n",
       "276    4.0  49.443333 -124.337167  248.808959  68.77\n",
       "277    4.0  49.443333 -124.337167  298.712730  70.83\n",
       "278    4.0  49.443333 -124.337167  314.651658  77.02\n",
       "311    4.0  49.591667 -124.637833  162.832911  70.41\n",
       "324    4.0  49.726500 -124.680333  198.887917  65.16\n",
       "325    4.0  49.726500 -124.680333  248.703513  69.50\n",
       "326    4.0  49.726500 -124.680333  298.012014  73.43\n",
       "327    4.0  49.726500 -124.680333  348.298456  80.74\n",
       "341    4.0  49.882500 -124.993833  249.096075  75.41\n",
       "342    4.0  49.882500 -124.993833  309.392440  80.29\n",
       "352    4.0  49.962500 -125.147167  124.882272  66.16\n",
       "353    4.0  49.962500 -125.147167  152.920744  68.27"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[data.Si>65,['Month','Lat','Lon','Z','Si']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chlorophyll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['l10_obsChl']=np.log10(data['Chlorophyll_Extracted']+0.01)\n",
    "data['l10_modChl']=np.log10(2*(data['mod_diatoms']+data['mod_ciliates']+data['mod_flagellates'])+0.01)\n",
    "data['mod_Chl']=2*(data['mod_diatoms']+data['mod_ciliates']+data['mod_flagellates'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "log10[Chl+0.01]\n",
      "z<15 m:\n",
      "  N: 50\n",
      "  bias: 0.06874266587202998\n",
      "  RMSE: 0.5010812521292989\n",
      "  WSS: 0.5398107217473685\n",
      "z>=15 m:\n",
      "  N: 22\n",
      "  bias: -0.0335685587064455\n",
      "  RMSE: 0.21336765567331373\n",
      "  WSS: 0.739622435132758\n",
      "all:\n",
      "  N: 72\n",
      "  bias: 0.03748090280638469\n",
      "  RMSE: 0.4339048747597358\n",
      "  WSS: 0.7106096863758413\n",
      "\n",
      "\n",
      "Chl\n",
      "z<15 m:\n",
      "  N: 50\n",
      "  bias: 0.05790611280202862\n",
      "  RMSE: 4.785705585972614\n",
      "  WSS: 0.5556877162076209\n",
      "z>=15 m:\n",
      "  N: 22\n",
      "  bias: -0.1307793293080547\n",
      "  RMSE: 0.6526755926285418\n",
      "  WSS: 0.6185038403925129\n",
      "all:\n",
      "  N: 72\n",
      "  bias: 0.00025222771283628376\n",
      "  RMSE: 4.004373611064325\n",
      "  WSS: 0.6227692495119259\n"
     ]
    }
   ],
   "source": [
    "print('log10[Chl+0.01]')\n",
    "print('z<15 m:')\n",
    "et.printstats(data.loc[data.Z<15,:],'l10_obsChl','l10_modChl')\n",
    "print('z>=15 m:')\n",
    "et.printstats(data.loc[data.Z>=15,:],'l10_obsChl','l10_modChl')\n",
    "print('all:')\n",
    "et.printstats(data,'l10_obsChl','l10_modChl')\n",
    "print('\\n')\n",
    "print('Chl')\n",
    "print('z<15 m:')\n",
    "et.printstats(data.loc[data.Z<15,:],'Chlorophyll_Extracted','mod_Chl')\n",
    "print('z>=15 m:')\n",
    "et.printstats(data.loc[data.Z>=15,:],'Chlorophyll_Extracted','mod_Chl')\n",
    "print('all:')\n",
    "et.printstats(data,'Chlorophyll_Extracted','mod_Chl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f194b7382b0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ERArGtm3bCA4O5s8//2TlypXcddddTkdyK3qGSUSkEJ279e7GG28sVaOii4hI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b793630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,figsize = (14,6))\n",
    "ax[0].plot(np.arange(-.6,1.6,.1),np.arange(-.6,1.6,.1),'k-')\n",
    "ps=et.varvarPlot(ax[0],data,'l10_obsChl','l10_modChl','Z',(5,10,15,20,25),'z','m',('crimson','darkorange','lime','mediumseagreen','darkturquoise','navy'))\n",
    "ax[0].legend(handles=ps)\n",
    "ax[0].set_xlabel('Obs')\n",
    "ax[0].set_ylabel('Model')\n",
    "ax[0].set_title('log10[Chl ($\\mu$g/L)+0.01]')\n",
    "ax[1].plot(np.arange(0,35),np.arange(0,35),'k-')\n",
    "ps=et.varvarPlot(ax[1],data,'Chlorophyll_Extracted','mod_Chl','Z',(5,10,15,20,25),'z','m',('crimson','darkorange','lime','mediumseagreen','darkturquoise','navy'))\n",
    "ax[1].legend(handles=ps)\n",
    "ax[1].set_xlabel('Obs')\n",
    "ax[1].set_ylabel('Model')\n",
    "ax[1].set_title('Chl ($\\mu$g/L)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "PATH= '/data/eolson/MEOPAR/SS36runs/CedarRuns/ISink/'\n",
    "ftest=nc.Dataset(PATH+'SalishSea_1h_20150501_20150530_ptrc_T_20150521-20150530.nc')\n",
    "fspin=nc.Dataset('/results/SalishSea/spinup.201905/21may15/SalishSea_1h_20150521_20150521_ptrc_T.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f194b02a710>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fT3Pb35qswLR+qUu0lMLph+keqZE2DeL8XK/WuS7tt3zNg0YO87tfXPP5wiow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\nYK4LHainZ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KZhptwNaFHmYXiow+AVx+RHjny7H3MnvpsRA35jA7+19ZYPDY89CTAzo5Zp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UFWHQrV97tbFz8XOdxesy5n9LEIX+O+9n8SnFhTdYRtca+fJ1oAuVzAQoc4/d0piIYHkr13G5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\n+LcC/oNjAFR3fwIZc7oKrEXJVOplY/sR8zuXmM2ChRXhkJTqLUM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NtE6IyIGU0nEROQCc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\nB2EoZpQnvh9WAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f194b0c4be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(10,8))\n",
    "ax[0].pcolormesh(fspin.variables['diatoms'][0,0,:,:])\n",
    "ax[1].pcolormesh(ftest.variables['diatoms'][0,0,:,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test=data.loc[(data['Chlorophyll_Extracted']>=0)&(data.Lon<-123.6)&(data.Lat<48.6)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Z</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>mod_Chl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>6.544340</td>\n",
       "      <td>2.57</td>\n",
       "      <td>0.960437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>48.300833</td>\n",
       "      <td>-124.000333</td>\n",
       "      <td>30.439317</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.546162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.499833</td>\n",
       "      <td>-124.733167</td>\n",
       "      <td>1.586497</td>\n",
       "      <td>3.43</td>\n",
       "      <td>0.494309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.499833</td>\n",
       "      <td>-124.733167</td>\n",
       "      <td>11.997578</td>\n",
       "      <td>2.52</td>\n",
       "      <td>0.411824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.499833</td>\n",
       "      <td>-124.733167</td>\n",
       "      <td>21.020086</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.712107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.469000</td>\n",
       "      <td>-124.548500</td>\n",
       "      <td>1.883969</td>\n",
       "      <td>4.69</td>\n",
       "      <td>1.830897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.469000</td>\n",
       "      <td>-124.548500</td>\n",
       "      <td>11.501857</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.190068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.469000</td>\n",
       "      <td>-124.548500</td>\n",
       "      <td>20.920999</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.595168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.308167</td>\n",
       "      <td>-124.066500</td>\n",
       "      <td>1.685682</td>\n",
       "      <td>7.15</td>\n",
       "      <td>3.278023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.308167</td>\n",
       "      <td>-124.066500</td>\n",
       "      <td>11.204568</td>\n",
       "      <td>9.42</td>\n",
       "      <td>1.825634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>48.260833</td>\n",
       "      <td>-123.720167</td>\n",
       "      <td>1.685690</td>\n",
       "      <td>11.13</td>\n",
       "      <td>1.291974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>48.260833</td>\n",
       "      <td>-123.720167</td>\n",
       "      <td>11.601229</td>\n",
       "      <td>4.99</td>\n",
       "      <td>1.020297</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year  Month   Day        Lat         Lon          Z  \\\n",
       "25   2015.0    2.0  11.0  48.300833 -124.000333   6.544340   \n",
       "31   2015.0    2.0  11.0  48.300833 -124.000333  30.439317   \n",
       "75   2015.0    4.0   2.0  48.499833 -124.733167   1.586497   \n",
       "77   2015.0    4.0   2.0  48.499833 -124.733167  11.997578   \n",
       "78   2015.0    4.0   2.0  48.499833 -124.733167  21.020086   \n",
       "89   2015.0    4.0   2.0  48.469000 -124.548500   1.883969   \n",
       "91   2015.0    4.0   2.0  48.469000 -124.548500  11.501857   \n",
       "92   2015.0    4.0   2.0  48.469000 -124.548500  20.920999   \n",
       "103  2015.0    4.0   2.0  48.308167 -124.066500   1.685682   \n",
       "105  2015.0    4.0   2.0  48.308167 -124.066500  11.204568   \n",
       "116  2015.0    4.0   3.0  48.260833 -123.720167   1.685690   \n",
       "118  2015.0    4.0   3.0  48.260833 -123.720167  11.601229   \n",
       "\n",
       "     Chlorophyll_Extracted   mod_Chl  \n",
       "25                    2.57  0.960437  \n",
       "31                    0.42  0.546162  \n",
       "75                    3.43  0.494309  \n",
       "77                    2.52  0.411824  \n",
       "78                    1.06  0.712107  \n",
       "89                    4.69  1.830897  \n",
       "91                    1.19  1.190068  \n",
       "92                    0.67  0.595168  \n",
       "103                   7.15  3.278023  \n",
       "105                   9.42  1.825634  \n",
       "116                  11.13  1.291974  \n",
       "118                   4.99  1.020297  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.loc[:,['Year','Month','Day','Lat','Lon','Z','Chlorophyll_Extracted','mod_Chl']]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f1930be4dd8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ionj27BmlSpXS+kPs7e1ZsGDBey2n8oHRw6YeFfjfgW7dugFonZYLFizg008/\n1ZK5xcbG0q5dO0JDQylVqhQXLlzQMnMaGBgwZ84cevXqxciRI6lTp442OsfFxYVy5coRGhrK4cOH\ngf91JpuZmbFy5UpsbW3ZuXMnbm5u7N+/n6ioKObNm8eIESPYtm2bVq61a9e+uw/kDVq0aKHlLGrW\nrBkPHjwgMTGRMWPGUKtWLUaNGpXmxDdFyTA9G9WjBmu/Aynz4Dg4OFC4cGF27NhBzZo12bZtGwEB\nAZw7dw4bGxtOnTpFqVKl8PLyIjw8nFq1alG5cmXmzp2rLSm5YsUKTp8+rTWLREb+L+Hf8OHD8fPz\nY+XKlVoNfvv27QwaNAgPDw9t2UeAmTNn8u23377X5p1/8/HHH/Pxxx9z//59LCws2Lx5MydOnKBn\nz5707t2bM2fOMGPGjNdmJVWUdFGLrSvZYfny5YwaNYrmzZtz4sQJ9u3bx/z58wkLC6NGjRp8/fXX\nAISGhmJubk5wcDAODg50795dy6RZvnx5QJcOwtXVlRUrVrB48WIAGjRoQKdOnQA4efIkK1as4MSJ\nE3z77bcsWrSI9u3bExkZSUREBD/88INWrpYtW+bYoJ+Subk5f/zxB+Hh4VhbW1O4cGFcXFyYN28e\nZcuW1dY8UBQlfVTgfwcqVarEvHnzOHbsmDZUc8GCBYwdO5Z+/frx5MmTVPtPnz79lXMkD21MbvcH\nmDVrFg8fPiQ+Pp6+fftiZGSkpX1o2rQps2bN4osvvuDq1au0bduWUqVKaZlBHR0d05ztm1M5ODho\nw1BDQ0NZtGgRoOsbSV6dTFEySrXxK9mqTZs27N69mzt37jBlyhSePn3Kli1bAF3e/vLly3P69OlU\nx0gpU30ZjB07VnseGBiIiYkJXbt2JT4+nsuXL/P06VPOnTtHq1atKFCgADVr1mT//v1YWVmxYMEC\nfH198fb2TnMRmJwoJiaG2bNns2zZMqysrFi2bBm2trYAdO3alT59+rznEiq5m+rcTZMQ4qYQ4qIQ\n4nzyggNCCFMhhJcQIijpb7HXHOsshLgmhAgWQnyXlYXPrTp06EBwcDBt2rRh+/btBAcHA7p8OlWq\nVOH69etaBy7oJnYtWrSI4sWLY2try8iRI8mfPz+gmyD28uVLQJep8/PPP8fIyIg9e/Zw5MiRVNd9\n+fIlzs7O1KlT5x3daeYEBQXh5uaGpaUlY8eOpVq1ahw7dgx3d3diYmJYsmQJmzdvxsbG5n0XVcnN\nBLqlFzNbFbPYAAAgAElEQVT6yIXeptQfSSntU0xU+A44IqW0BY4kvU5FCGEILEa3nqQd0FMIkXva\nF7KRtbU17u7uGBsbM2HCBOrVq8fKlSuJj49HSomXl1eq/T/77DPu3r3LlStXMDc310YEJa8eBnDi\nxAlWrlxJgQIF6NGjB/ny5cPIyIjq1asDEBAQwO7du9/dTb4lKSWnTp1ixYoVdOrUiUqVKrFo0SKe\nPHlC+fLliYyMxMbGBg8PD1q1akX//v3fd5EVJVfKzNdVJ+C3pOe/AZ+ksU8DIFhKGSKlfAl4JB2n\noAv+Gzdu5OnTpzRo0ABra2tt2cVvv/2WuLi4VPvny5cPQ0PDVDl2FixYwMcffwzAgwcPtO1VqlTh\nP//5D/Hx8djZ2TFo0CBKlixJhw4d3sGdvb07d+7g6OhIkyZNGDRoELt27aJx48bkyZOHuLg4QkJC\nqFu3LmPHjuXixYt4eXnlmqYqJWcTqqnntZLXi/QVQgxO2lYqxUIB99HlnP6n160jqSTp2LEjjRs3\nZuXKlXTs2FHbHhoaqiV2+ycDAwOeP3/O8ePHKVmyJMHBwbRv3579+/enGq7p5uampV4ODAzk/v37\n2iihnGTPnj1YWVnxxx9/UK9ePS0l9KlTp4iLi+Obb74hMjKSvXv3MnPmTO0XjKJkCTWB67UcpJT2\n6JpsRgghmqd8U+qqoJlK+iOEGCyEOCeEOJcyeOmDjh07EhsbS506ddiyZQs3b94kPj4eU1PT1x5j\nbGxMs2bNuHjxIqGhoezdu5cxY8akWvSlVKlSnDx5knr16nHy5El69OjB8+fP38UtvZXkPg43NzeC\ngoKIj4+nW7dufPPNN/j5+TF79myKFy/+nkupfMiEgUGGH7lRukr9mvUiHwghLACS/j5M49B0ryMp\npVwupawnpayXnKdeX/Tp0wdjY2MGDhxIzZo1sba2TjN7Z1p69+6tNfUAryyaLoTAx8eHkSNH4unp\nScGCBQkICMjS8mdWmTK6H4ExMTE8fvyYH374AU9PT2bPnq3lHlKUbCMEGBpm/JELvTHw/8t6kbuA\n5N61/sDONA4/C9gKIWyEEHmBHknHKSlYWlqyY8cOAGrVqpVmls3XMTIy4uDBg3h7e7Nu3Tp+/vln\n1q5dy4ABA/j+++8xNTWle/fuJCYmasNA7e3tmTFjRqqRQ+9LQkICjo6OmJubs3//fgAOHz5MTswa\nqygfijemZRZClEdXywddiocNUsofhRDFAU/ACrgFdJdS/iWEKA2skFK2Szq+HTAfMARWSSl/fFOh\nPrS0zOmVnGZh+vTpjB8/PkPnkFKmWuAlpcTERIKCgujbty9nzpzB1NQUNzc3RowYwfv6leXi4sKx\nY8eYNm0ao0ePRgiBlBIXFxd++OEHwsPD8fLyonPnzlqyO0VJlhVpme3KlJT/Hd49w8fXmbA416Vl\nVvn4cxgTExNMTU25c+fOm3d+jcjISE6dOsXRo0fp0KEDderUIX/+/NrYfwAvLy+mTJmCj48PefPm\nZdasWYwaNSorbiHd/Pz8qFu3LgCVK1fGzMwMf39/ypcvz6VLl1LtW6NGDS5cuPBOy6fkfFkS+C1L\nyQ0jemT4+NrjFua6wJ87eyY+YA0aNCAsLIxmzZqxZs2aV4Z0poeZmRkuLi7MnTsXJycnihYtmiro\ngy4B2smTJzl9+jSNGzdm9OjR1KlTh1OnTmXVrbzRuHHjAN1iMREREaxZs4aCBQty6dIlTE1Nadas\nGWPGjAF4Ja2FomQpNYFLeZ/27t3L1KlTuXHjBgMHDqRhw4bZdq3ExERCQ0P5/PPP+fzzzwkKCsLB\nwYFevXq9dtnHrHLgwAEOHjzIkCFDCA4OpkqVKlSsWJGQkBDGjx9PwYIF+eOPP6hfvz758uXDzMws\nW8uj6C+hhnMq75uxsTGTJk3i7t27uLi44O/vn21NHKNGjaJnz57079+fnj17EhQURL9+/di0aROO\njo5cv349W64L8N13uoneHTp0wMbGBh8fH9zd3TExMWH69OlaCurTp09jb2+fKjmdoiiZowJ/DpW8\n8HqePHmoXbs2PXv2JDw8PEuvsW7dOu15SEgI5ubmrF69Gm9vb27evEmzZs2yZXTNw4cPtbH7Li4u\neHp6Uq5cOSZPnkxcXBzbtm3TEq+NGjWKP//8E0tLyywvh6IkUzV+JceoU6cOAQEB9OvXDw8PD2rV\nqsW2bdtISEjIkvMPGzaMFi1asHXrVgYPHqxtb9asGdOnT+fhw4ev5AzKCj179kw1kez27dv069eP\nBw8eMG7cOLp06cL58+cBuHnzJoA2m1dRsp7QuxW4VODP4apWrcrq1avx8fEhf/78dOnShT59+mRJ\nTfynn37i6NGj2lq/KTVq1AgAHx+fLK31Syn5/fffAV1aitDQUBo1asSzZ88AmDNnDgDbtm1j8+bN\nDBw4ECMjI1asWJFlZVCUVIRAGBpm+JEbqcCfSzRu3JjAwED+85//4OHhwdChQ7Os3btVq1YIIWjT\npg3R0dGAbnSRmZkZU6dOpVy5cri6uvLnn3++1XmTvzBiYmJ49OgRT5480RaKAV3ncrly5QDdr4C6\ndetiaGjI5MmTqVq1Kt26dePmzZssXrxYde4qShZSv59zkUKFCjFr1iwiIyNZvnw5wcHB7Nq1K1Vq\n5oxIztt/6NAhWrVqhY+PD4UKFeLChQvs3LmTQ4cOsXHjRv773//y9ddf06xZM27evKl1PH/00UfY\n29vTpEkTvvrqK27fvk14eDiRkZEYGxvz6NGjVNdr27YtJUqUYOfOnYSHh7Nnzx6ePHmCoaEhVlZW\nNG3alKpVqwKwatUqBg4cmKn7U5Q3ya1t9RmlJnDlUjNnzmTcuHHUq1cPd3f3TOW0MTIyIiEhgSZN\nmuDj44OTkxOurq60a9eOIkWKABAWFkbv3r05ceIEiYmJgC5NtJRSWwgmpQ4dOlCyZEmeP39OqVKl\nePHiBffu3cPU1BRnZ2d69eqVZlnKlCnD3bv/S+d08uRJmjRpkuF7Uz5sWTGBq5p1GbnpuyFv3vE1\nagyfnOsmcKnAn4slL+JuYGDA4sWL6dmzJ3nz5n2rc0RHR1O8eHFiYmKIiYnhxx9/ZNGiRfz9998U\nK1aMKVOm0LdvX4oWLYoQgkePHnHixAksLCywtbXF2NiY8PBwBg4cSEBAAFFRUQA8fvyYSpUqpVoj\nIL2Sc/AnU7V+5XWyKvB7jh+e4eOrD5mQ6wK/auPPxQYPHsylS5cwNzdnwIABlChRgt9+++3NB6Zg\nZGSk1eoDAwOZNm2atoB56dKlGTlyJKamphgbG1OnTh2mT5/O7du3KVasGIULF8bIyAgrKyuOHDnC\ntWvXGD58OPPnzyd//vyvBP02bdrg6+vLxIkTmTRpkrZuLoCVlRXffvstkZGRPH78OFWuoqtXr2bi\nU1KUf6ePE7hUjf8DEBcXx759+/jkE90iaLt27cLFxSXdx58+fZoWLVoQGxuLo6Mj7du3p1evXlhY\nWLB37178/f25ffs2QUFB+Pj4EB8fr3UGz549mxo1aqR53q+//pq5c+cCusVjLl26pLXd79+/n3bt\n2mFgYEBiYiIPHz58JVHco0eP8PDwoHPnzpQsWTIjH022kVJy5swZihYtmiMXt9EXWVHjr17OUnpO\n+DLDx1cb9H2uq/GrwP8BuXLlCnZ2uiWNd+7cmWpFrze5d+8eCxcuZNeuXQQGBmJoaEibNm2YOnUq\n9er979/08+fPCQ4OZvXq1axZswZTU1P8/PwoWrToK+e8ceMGFStW1MpWpUoVAGJjYylatKi2brCz\ns7OWkjmne/ToEXZ2dsTGxvLXX3+RL18+oqOjX5sRVcleWRX4N08ameHj7b749l/LIIQoC6xFt0qh\nBJZLKRf8Y58W6FLbhyZt2ialnJbhQr2B+teai23evJlevXoxY8YM1q1bh4+Pj/ZecpBNLwsLC2bM\nmMHly5cJCAhgxIgReHt74+DgQPv27Vm+fDmgyx5aq1Yt5s+fz4EDB7hz5w6ff/55mmP9U9bSCxUq\nhJQSKSVhYWFa0Le3t8/RC8ADxMfHs2LFCr744gvMzc25d+8ef/31FwAVK1ZUQT+3E9k+gSse+FpK\naQc0QreKoV0a+/0hpbRPemRb0Ac1nDNXGzNmDGFhYWzcuFHbZmFhwdGjR6lUqVKGz1uzZk0WLFjA\nmDFj+OSTT9i3bx/79u2jXLlytG7dWtuvUaNGzJo1i6+//pqvvvqKuXPnkidPHu39e/fuac+TUy4U\nLVo0VeI5S0vLHD8rt1OnTlruIEdHRxo1aoSXlxd+fn5Mnz79PZdOyTyRrROxktYmv5f0/KkQ4gq6\ntccDs+2ib6CqKrmYk5OT9rxDhw4cO3aMmzdvZlmbs7W1Nf7+/oSEhJA3b17atGnD+vXrU+0zevRo\n+vTpw6JFi/jqq69STSqrVKkScXFxBAQE4ObmRo8ePTAwMODgwYPaPnnz5tUmjeVECQkJ7Nu3jxo1\nauDr68vJkyeZNWsWfn5+DBkyROtXUXIxkelcPWbJ64UnPQa/9lJClANqA2nNhmwihLgghNgvhKiW\nLfeaRAX+XGzNmjX89ttvFCtWjD179hAUFPTWwznTw8bGBn9/f6pXr07//v1TrdkrhGDdunWMGDGC\nZcuW0aNHj1Tj+o2MjKhZsyYLFy5k48aNXLhwgV27dnH69GlAl5rBxMSENm3aZGjtgeyWnBfJysoK\nKysrrUnr9OnTLF269H0WTck5IpPXC096LE9rJyFEQWArMEpK+c8FJvwAKyllTeAXYEd2FlgF/lxM\nCEG/fv2IiIigZcuWuLq64u/vr73/4sWLLLuWnZ0dv/zyC4mJidjb2zNs2DAiIyO19xcuXMjYsWPZ\nunUrbdq0ee21y5Qpg4uLCw0bNtRSM4Nu1nBWJZ/LSslfpIcPH6Z48eLaojYNGzZECPGeS6dkjexP\n0iaEyIMu6P9XSrntn+9LKZ9IKZ8lPd8H5BFCZFueEhX4PwCGhob83//9H6DL6BkdHY2npyfGxsbM\nmjUry67TokULLl++TPfu3Vm2bBk2NjaMGjWKy5cvY2BgwIwZM/i///s/vL29qVSp0htz+7Rq1Up7\nXrhwYfLly5dlZc2skJAQjh07xt69ewHdHISDBw8SFRWlJpN9aAQIQ4MMP954el0NYSVwRUo59zX7\nmCfthxCiAbrYHJWFd5mKCvwfiFq1avHTTz8ButWtNmzYAOgWPOncuTNXrlzJkuvY2dmxadMmTp48\niYODA7/88gvVq1enV69ehIaGMmbMGLZs2UJ8fDzNmzdn6dKlr83u2bJlS54/f86MGTN48uQJnp6e\nWVLGzHj8+DFdu3alQoUKtGjRgg4dOmBgYMCYMWO08g0dOvRfz3Hz5k0sLCxwdXXNlvUMlKwlyPYJ\nXE2BvoCTEOJ80qOdEGKoECL5H1NX4JIQIgBYCPSQ2fiPR43j/4DcvHkTGxsbevXqxcmTJ7l16xbD\nhw9nxYoVFCxYkPPnz1O2bFlAlxkzOjqaggULZuqad+7cYfr06SxfvhwhBFOnTuX777/n9u3bdO3a\nFX9/f1xcXFi8eLF27X+Kj4+naNGiWFlZ4efn98r6wNntypUrLFu2jC1btmiL3bRr14727dtTpkwZ\n7O3tsba2pnLlypiamr5xXeLQ0FDKly8PwOLFixk+POPpAJR/lxXj+GtUKCe3zZqQ4eMrdRuU6yZw\npbvGL4QwFEL4CyH2JL2uJYQ4JYS4KITYLYQo/Jrjbibtc14IoaJ5NipXrhzt2rVjw4YNGBsbY2Ji\nwrhx4zh16hR//fWXluve09OTypUrU7hwYZycnJgxY0aGfxGULVsWd3d3rl+/zkcffcSkSZMoXbo0\nixYtYvv27YwaNYq9e/fi6OhIUFBQmucwMjJi7dq1XLlyhdq1a7+SzTM7xMXF4enpyUcffYSdnR1L\nly7F3t6eevXq8d1337Fv3z5GjBhBnjx5sLa2ZsuWLVy/fp0ePXq88dw2NjbajOURI0bg6+ub3bej\nZIZA7xZiSXeNXwgxBqgHFJZSdhBCnAX+I6U8JoT4HLCRUk5M47ibQD0pZeQ/33sdVePPuD/++IPm\nzZsDurZ/Q0NDJkyYwNmzZzlw4AA+Pj58+umnhIWFMXz4cFauXElsbCwA/fv3Z8GCBVrunn+TmJhI\nSEgIxYoVo3jx4to2T09P1q1bp417r1GjBp07d2bGjBkULlyYwMDAV1IzJNuwYQN9+vTB3t6ew4cP\nY2pqmhUfySs8PDwYNWoUDx48wNraGkdHR0qXLo2XlxfNmzdn5syZmJmZ8fTpU+rXr8/OnTspV64c\nxsbG3L59m0KFCr3xGlJKWrZsydGjRwH466+/KFasWLbcjz7Lkhp/RRu5fc7UDB9v+2n/D7PGL4Sw\nBNoDKZdBqgQcT3ruBXTJ2qIpGeHg4KANM0xISKB+/fpMmjSJkJAQEhMT6d69u9a88+mnn6bq/P3t\nt99YtmxZuq4zdepUbG1tMTMzo3Tp0rRs2ZIhQ4Zgbm6upW/44osvuHXrlrZvZGQkixYteuVc8fHx\nuLu7Ex8fT4kSJfD396d48eLUrFkzy1feunDhAj179uTFixfs2bOH6tWrs3btWmbOnImvry/z5s3j\nu+++w9nZGdD1nezfv5+XL1+ybt26dAV90I242r59u/a6Xbt2qr0/p1IrcL3WfOBbIDHFtstAp6Tn\n3YC0G3B1uSkOCyF8/21ig5I1hBAMHTqUyZMnA7p89vb29gQGBpKQkEBoaCjXr18H4OOPP2bUqFGA\nLr//qlWrtNdvUqBAAe15o0aNePDgAStWrOCjjz7SOpZjY2N58uQJVlZWXL58GYBp06ZpvzCS3blz\nh6FDh9K/f38ePnyIgYEBpUqV4uLFi0yblrUz10NDdalQWrVqRdGiRdm7dy9ly5bl8uXL3Lx5kxEj\nRjBv3jwqVKhAeHg4y5Yto3bt2hgYGODh4fFW1ypSpIi2dvDp06eZPXt2lt6LkoVUU88/dhCiA9BO\nSjk8KZHQf5Kaeqqg630uDuwCvpJSFk/j+DJSyrtCiJLofhm4SSmPp7HfYGAwgJWVVd1bt25l8tb0\nm5SSX3/9VVvq8ODBg3To0CHVJKkxY8ZQoEABOnbsSIMGDd7q/DExMXTv3p3du3fTunVr5syZQ/Hi\nxfHy8uL8+fPMnz9f27d27dp0796dkJAQHj9+jIeHxytj4JcsWcKIESO011FRUbi5ubFhwwYmTJhA\ntWrVuHr1Kg8ePKBu3bpER0cTFhZG1apV6dWrV7qHgkZERFC1alUKFCjAzz//TM+ePRkyZAje3t5c\nu3Yt1b4JCQlaHp7WrVvj5eWVoVr7ypUrcXV1BeD48eM0a9bsrc+hpC1Lmnpsy8sd83/K8PEVO/TM\ndU096Qn8M9ANRYoH8gOF0WWO65Nin0rAeinlv0YPIcQU4JmUcs6/7afa+LNO9erVuXz5MrVq1aJJ\nkyacOXOGuLg4atSowffff0+1ahmfGZ6YmMjEiROZNWuWNvmqUqVKmJubc/x46u/2rVu3prmoe0q3\nbt3S1uC9fPkypqam9OrVS2snf50+ffqwdu3adE+oatWqFX/++Sd9+/b919m38+fPZ+RIXdbG0aNH\nM3/+fP7+++80M5H+GyklXbp00Zp+Hjx4kOPSTOdWWRP4K8idC2dm+PgK7brnusD/xqYeKeX3UkpL\nKWU5oAfwu5SyT1INHiGEATABeKVxWAhhIoQolPwcaA1cysLyK29w9OhRWrRowb1791i6dCm+vr5c\nuHABT09P1qxZk+ayiellYGDAjz/+SFBQEF266Lp4EhISiIqKokOHDtqQRtANa3wTa2trEhISuH79\nOnZ2dpibm3PkyBGCgoI4fPgwERERBAcHc/ToUS5evEh8fDzffPMN69evp3bt2sydOzfVso2v8913\n3/Hs2bNUaxX7+PgQGJg6Z9aNGze058lJ7zIyQkcIkSrHkaOjY46cpay3VBv/W+kphLgOXAXCgdUA\nQojSQoh9SfuUAk4kTUo4A+yVUh7ITIGVt1OiRAmOHj3KvXv32LVrF+fOnePMmTO0adOGOXPm0LRp\nU/z8/DJ1DRsbGzw8PPD19eXs2bNcunSJ3bt3c+PGDTZu3Ej79u1ZsGDBm0+E7ssk5cpcQggqVqxI\ny5YtMTMz0yZWVa9eXRuxZGFhQUBAAF9//TXW1ta0b9+erVu3vjZtREhICPC/YF6tWjUaN25MyubF\nAwcOMGfOHP766y+EEFoTT0aHvRobG2vHXr16lUmTJmXoPErWE2Q6SVuuoyZw6SkpJUuWLOGbb75B\nSsmRI0do3Lhxrsw/k5iYSEJCAleuXGHevHmsWbMG0C0G36JFC5ydnXFxcaFChQosX76cIUOGYGVl\nxZw5czA3N8fBwQEhBPHx8cycOZMTJ07w7Nkz+vTpQ+fOnbGzs8Pb25saNWowbtw4fvzxxwyX1cPD\ng549ewK6fpeUaa6Vt5cVTT01K9vKXUvTzKSQLjYtO+a6ph4V+PXcrVu3aNSoEffv36dRo0Zs2LAB\nGxub912sTAkNDeXChQscPnyYVatWER0djYmJCf369WPp0qXkz5+fIUOGaL9Ctm7dioWFBf379081\nyaxKlSpcuXKF+Ph4ateuzaVLl7Kkc3bgwIHal9OdO3e0tQqUt6cCf8aoXD16ztrammPHjtG1a1fO\nnTtHlSpV6NixI6NGjWL37t08efIkVY793MDGxoZOnTrxyy+/EBkZib+/P0WLFmXp0qUUL16cLVu2\n0KFDB1q3bs3y5cuJiIjAwcGBO3fusGrVKu0869evJyQkhBYtWnDp0iV++OGHLBmRs2zZMm0uRcOG\nDXNkOmp9o29t/KrGr2guXrzInDlzOHbsGOHh4akCkqurK82aNSM8PJwnT55Qq1YtatWqRaVKlXLF\n0oMxMTH4+/vToEEDDFP8z3rv3j1Kly4N6DpzraysyJMnD6VLl+bu3bta7dzKyoqsHGKcMp+Pm5sb\nCxcuzLJz65MsqfFXqST3/PpLho+3bu6c62r8KvAraYqNjeXkyZOcOHGCjRs3cu3atTTHsDs5OeHm\n5kanTp1yZf9AygXhp0+fzqRJk0hMTGTZsmUMGTKEU6dO0aRJE0C3KPyLFy9o0KABbdu2pVmzZpla\nNnLnzp3aCl47duygU6dObzhC+acsC/wrl2T4eGuHj1Xgzwoq8Oc8kZGRBAUFYWlpSYkSJTh//jw/\n/fQTx48f5/HjxzRr1gwpJQULFmTChAk0bdr0fRc5XcLCwlJlDbW1tWXo0KGMHj1a+yJbunQp06dP\nx9DQkIIFC2qjc8qVK0ffvn2ZNGlShr8AvvrqK375RVfbDAkJyfX9K++aCvwZowK/kinx8fF8/vnn\n7N69GwsLCx4+fEhiYiIjR46kffv2WFtb4+npSc+ePbMt6VpmJSQkcOPGDQoWLIiFhcUbf7kEBgbi\n5eWlpbfYvHkzXbt2zdC14+LisLa25t69exQqVIiIiIgctSBNTpclgb9qZbl3dfpyVKXFqrGTCvxZ\nQQX+3CsoKIiGDRvy999/p9peq1Yt+vfvT48ePbCwsHhPpcs6CQkJFChQgLi4OK5cuUKVKlUyfK6U\nvzoGDhyYqoNZ+XdZE/iryH2/pblMbrqUbeiY6wJ/zu+VU3IVW1tbQkND8ff3Z+LEidoomICAAMaM\nGYO1tXWmJ4y9a8lJ5Nq1a0fPnj3Zt28ff/75p9ap/c8Zv2/L0tKSgwcPArB69Wo2bdqU6TIr6SeE\n/k3gUoFfyXJFihTB3t6eadOm4eTklOq9uLg4pk+fzqZNm/D19c0VqYrHjx+Pu7s7p0+fxsPDg/bt\n29O0aVNiY2OxsLB45R4zonXr1tri8z169NAyqCrvgkrZoChZys7O7pVt27dvp0ePHtSrV49ixYrR\nqVMnli9fzsWLF4mKyrb1pTMsOQ+RiYkJq1evZt++faxdu5ZDhw5x7dq1t07a9jqfffbZK9dUlOyQ\n8bFoipIO3bt3x8XFhT/++IM7d+5gYGBAlSpVuH79OkePHuXx48fs3r2bXbt2AZA3b14mTJjAqFGj\n0r3oSXbr1KkTmzdvZsyYMQwcOBAXFxe6d++Ovb39W5cxJiaGefPm4ePjw7Nnz6hYsSK3bt3i5MmT\nREdHa/vFxcUhpcyVQ2RzneSlF/WI6txV3rvHjx+zd+9eHjx4wJgxYwAynRMnO8TExNCtWzf27NkD\n6Ja2HDRoEGXKlCE8PJzr169jYWGBlZUVjo6ONGnSRJuh++DBA4KDgxk0aNAbE73Nnz+fAQMGpGsJ\nTH2XFZ27tarZyQMe69+842uUrlk313Xuqhq/8t4VKVKEXr164e3trW377bffsLe3p1u3bkgpWb16\nNcuWLaNSpUqpUhy/S3ny5OHw4cPa64SEhFRLVRoaGmrpln/66SeEEAwYMIDHjx+zffv2VP0ZTZo0\noX79+uTJk4fnz5+TL18+OnXqhIODQ6YmhSkZIEAY6lert/oXpuQYTZo0wcXFhd27d3P37l3OnTtH\nt27d8PHx4YsvvgDg7Nmz+Pj4MHz4cEaOHEmePHneWfmEEBQrVox79+698l7Lli0RQtC2bVvu37/P\ntm3buHHjBqtXr07zXCdOnFDNODmGyLWjczJKBX4lx8ibNy87duygcePGnDlzRusYTl7Ny9bWlrp1\n6+Ln58c333zD0qVLadWqFWXLlqVgwYL079+fYsWKZVv5DAwMGD16NN9++622rWjRonh4eNCmTRtA\nl+7a19eXChUqMHTo0FfOYWhoSGhoqAr6ynulAr+SoxgYGDB//nyaNGnCgAEDOHXqlJbKICgoiKCg\nIKpWrUrx4sUJCQlh+fL/Tby5cuUK7u7u76ScM2fOxNHRkQYNGmjj+aOiohg4cCC7d+/W7iUxMVE7\nxsrKSlvcXck5hKrxK8r717hxYxo3bsypU6fSDOSv6xzdvHlztgf+5A7XGTNmYGJiQrVq1QgKCqJz\n5ymXi4YAACAASURBVM7cunVLq8kbGBjQtGlTunbtio2NDXnz5qVFixYqHUNOJMi14/EzSgV+JUc6\nfvw4O3bswNLSkrJly/Lnn38SGBjIxIkTAWjTpg3VqlXD29ubRo0asWTJEv7++28WLVrEl19+mW3l\n+vjjj+nYsSM+Pj64ubnh5uamvVekSBESEhIoVqwYly5donDhwtlWDiUrqRq/ouQIRkZGqRKfde7c\nmc6dOxMfH8/UqVP5z3/+w6VLl/Dz8yM4OFjbz83Njc6dO2s59rOajY0NhQoVIjIykkKFClGwYEGt\ns/fx48eA7kvrdUE/ODiYffv2YWhoSOvWrVOtL6wo74oK/Equ4uTkxNSpU+nduzdBQUFERkYyZcoU\noqKiMDc3B9DG1WdXMrjk1MlPnz7l6dOnqRZjP3bsGLVr1wZ0Hb1Xr14lICCAzZs3c+7cOW7fvq2d\np1SpUty/fz9byqi8haRcPfpEvwavKrle8+bN2b17NxEREYwePZrp06djZGTEqVOnUrWfly5dmoCA\ngGwpw8iRI2nevLn2WkrJTz/9RHh4OM2bN+fZs2f07t0bIyMj7Ozs+H/2zjusiqOLw+9cioBiQ7Fh\nw6AiCth7wV4QNDFRY8ESNcbeS7BrYsNYP2ONxk6sYK+xF5rEAhoVuyiKgqAUL/P9cWH1CkQFLOi+\nz7NP7u7Ozs7e4Nm5Z875nfbt27N582YeP35M3759mThxIqBL6voUEyi/PATCQJPmLTPy1qMWQhgI\nIQKEENsT9x2EECeFEOeEEN5CiBR/2wohmgohLgkhrgghRmbUwFW+XJydnRk9ejTLly9n2LBhgK46\n1oMHD9i2bZvSrmbNmjx9+jTD758nTx7279/P999/rxw7fvw4uXPnxtPTk0KFCrF27Vrq1q2Lh4cH\ne/fuJTw8nJs3bzJv3jwl6evbb79Vwzo/Ab5EdU6klG+1AYOBtcD2xH0foG7i527ApBSuMQCuAtaA\nMRAIlHnTvSpWrChVVFLjr7/+koAEZNGiRaWUUiYkJMgXL17IhIQEOXjwYOV806ZN3+tYwsLCZKtW\nrSQg9+7dK52cnCQgjx49KhMSElK8ZsaMGRKQ1tbW0traWrq6usqtW7fK+Pj49zrWzxHAV76lDUtt\nc7S3l49D76Z5e5sxAE2BS8AVYGQK5wUwN/H8P0CF9D7Xf21vNeMXQlgBLYClrxwuCRxJ/LwPSElO\nsApwRUp5TUoZB6wH1MKiKmnmzz//5Ntvv1X2T5w4AUDnzp3JkiUL7dq1Y/DgwRw6dAiAbNmyMWPG\nDO7cufNexpMnTx7Gjh0LwNq1a2nXrh2gCzlNbTY/ePBgRowYQd68efnqq684fvw4rVq1wsLC4oPl\nIah8OIQQBsACoBlQBmgvhHhdtrYZYJO49QQWvtdBvc3bAdgIVATq8XLGfwJoJV/+GniawnVtgKWv\n7HcC5r/pfuqMXyUlHj16pMzkk7Z169ZJKaUsW7ascqxq1apSSinv3r0rJ0+eLAFpY2Mjo6Oj39vY\nXF1dJSC1Wq3MmTOntLW1fetro6Ki5Jw5c6SRkZHMmjWrDA4Ofm/j/NwgI2b8Dg7yyYP7ad7eNAag\nOrDnlf1RwKjX2iwC2r+yfwkokN5nS21744xfCOEMPJBS+r12qhvwkxDCDzAH4t7hfZPSfXoKIXyF\nEL5hYWHp6UrlMyVr1qyUKFFC2Tc0NFTCNkePHq0cv3DhAhMmTMDExARLS0tAVxKyTJkyvK+/LWdn\nZ0AnyfDkyROCgoK4fv36W12r1WpZu3Yt8fHxREdH07Nnz/cyRpXUERpNmre3oBBw65X924nH3rVN\nhvE2o64JuAghrqNz1dQXQqyWUgZLKRtLKSsC69D58l/nDvBqfrpV4rFkSCkXSykrSSkr5c2b950e\nQuXLIEuWLGzfvl2pb+vo6KhE8rRr147Vq1fTuHFjoqKiGD9+PJ6envTs2ZNRo0YBcOPGDSwtLdm6\ndWvSrCrD6Ny5M9myZUOj0WBvb0+9evXeSjfo6dOnODk5cfr0aeXYp1iM5vNHpGMjT9KkNXH75N/c\nbzT8UspRUkorKWUxoB1wUErZUQhhCSCE0ADuQEpl6n0AGyFEcSGEceL1Xhk2epUvjtKlS+Pn58eU\nKVPw9fWlevXqnD59GiEEHTp0oEWLFkpbMzMzBg4cSI0aNfT6aN26NRqNhoEDBxISEpIh4zI2Nubp\n06dotVoCAwM5dOjQW+npb9u2DX9/f+rXr4+DgwOAEu6p8uHQJiSkeQMeJk1aE7fXK7e/zQT4rSfJ\nGUF6glDbCyEuA8HAXeAPACFEQSHETgAp5QugL7AHCAI8pZQX0jdklS8dMzMzRo8ezY4dO5BSUq1a\nNf78808AevbsiZubG3379qV06dLMnj2bli1bKtc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rR/HixXF1daVbt27Y29uTP39+unTp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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1930d08860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cmocean\n",
    "fig, ax = plt.subplots(figsize = (6,6))\n",
    "viz_tools.set_aspect(ax, coords = 'map')\n",
    "m=ax.scatter(test['Lon']+0.2*np.random.rand(len(test['Lon'])), test['Lat']+0.2*np.random.rand(len(test['Lon'])), c=test['mod_Chl']-test['Chlorophyll_Extracted'],vmin=-10,vmax=10,cmap=cmocean.cm.balance)\n",
    "viz_tools.plot_coastline(ax, grid, coords = 'map')\n",
    "plt.colorbar(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test=et.loadDFO()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test2=test.loc[(test['Chlorophyll_Extracted']>=0)&(test.Lon<-123.6)&(test.Lat<48.6)&(test.Month==6)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Ammonium</th>\n",
       "      <th>Ammonium_units</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>Chlorophyll_Extracted_units</th>\n",
       "      <th>N</th>\n",
       "      <th>Si</th>\n",
       "      <th>Silicate_units</th>\n",
       "      <th>AbsSal</th>\n",
       "      <th>ConsT</th>\n",
       "      <th>Z</th>\n",
       "      <th>dtUTC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.473056</td>\n",
       "      <td>48.470000</td>\n",
       "      <td>-124.547167</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>5.30</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.30</td>\n",
       "      <td>37.70</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.731979</td>\n",
       "      <td>9.648685</td>\n",
       "      <td>1.983125</td>\n",
       "      <td>2008-06-20 11:28:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.473056</td>\n",
       "      <td>48.470000</td>\n",
       "      <td>-124.547167</td>\n",
       "      <td>9.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>3.51</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>25.00</td>\n",
       "      <td>39.90</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.827200</td>\n",
       "      <td>9.083090</td>\n",
       "      <td>9.816280</td>\n",
       "      <td>2008-06-20 11:28:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.473056</td>\n",
       "      <td>48.470000</td>\n",
       "      <td>-124.547167</td>\n",
       "      <td>19.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.91</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>26.80</td>\n",
       "      <td>42.10</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.946372</td>\n",
       "      <td>8.948434</td>\n",
       "      <td>19.334645</td>\n",
       "      <td>2008-06-20 11:28:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.969167</td>\n",
       "      <td>48.501167</td>\n",
       "      <td>-124.734667</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>4.37</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.80</td>\n",
       "      <td>37.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.779231</td>\n",
       "      <td>9.465428</td>\n",
       "      <td>1.983119</td>\n",
       "      <td>2008-06-20 13:58:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.969167</td>\n",
       "      <td>48.501167</td>\n",
       "      <td>-124.734667</td>\n",
       "      <td>9.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>3.69</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>23.30</td>\n",
       "      <td>37.30</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.845634</td>\n",
       "      <td>9.169437</td>\n",
       "      <td>9.617948</td>\n",
       "      <td>2008-06-20 13:58:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.969167</td>\n",
       "      <td>48.501167</td>\n",
       "      <td>-124.734667</td>\n",
       "      <td>20.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.76</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>29.40</td>\n",
       "      <td>45.90</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>32.482873</td>\n",
       "      <td>8.245013</td>\n",
       "      <td>20.028618</td>\n",
       "      <td>2008-06-20 13:58:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.736389</td>\n",
       "      <td>48.260333</td>\n",
       "      <td>-123.721333</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>4.97</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.20</td>\n",
       "      <td>34.60</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.818120</td>\n",
       "      <td>9.778811</td>\n",
       "      <td>1.983163</td>\n",
       "      <td>2009-06-21 02:44:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.736389</td>\n",
       "      <td>48.260333</td>\n",
       "      <td>-123.721333</td>\n",
       "      <td>10.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>5.27</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.60</td>\n",
       "      <td>34.80</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.831216</td>\n",
       "      <td>9.726881</td>\n",
       "      <td>10.213083</td>\n",
       "      <td>2009-06-21 02:44:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.736389</td>\n",
       "      <td>48.260333</td>\n",
       "      <td>-123.721333</td>\n",
       "      <td>20.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>4.97</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.10</td>\n",
       "      <td>36.50</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.990000</td>\n",
       "      <td>9.281489</td>\n",
       "      <td>20.425656</td>\n",
       "      <td>2009-06-21 02:44:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.835833</td>\n",
       "      <td>48.309833</td>\n",
       "      <td>-124.067667</td>\n",
       "      <td>1.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>17.64</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>14.80</td>\n",
       "      <td>25.80</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.855916</td>\n",
       "      <td>10.077544</td>\n",
       "      <td>1.883997</td>\n",
       "      <td>2009-06-21 05:50:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.835833</td>\n",
       "      <td>48.309833</td>\n",
       "      <td>-124.067667</td>\n",
       "      <td>10.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>10.68</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>17.20</td>\n",
       "      <td>29.40</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.855544</td>\n",
       "      <td>10.077846</td>\n",
       "      <td>10.014730</td>\n",
       "      <td>2009-06-21 05:50:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.835833</td>\n",
       "      <td>48.309833</td>\n",
       "      <td>-124.067667</td>\n",
       "      <td>20.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>13.34</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>17.30</td>\n",
       "      <td>28.50</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.930037</td>\n",
       "      <td>9.960018</td>\n",
       "      <td>20.326415</td>\n",
       "      <td>2009-06-21 05:50:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.702500</td>\n",
       "      <td>48.470167</td>\n",
       "      <td>-124.548500</td>\n",
       "      <td>1.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>12.89</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>12.80</td>\n",
       "      <td>22.70</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.797204</td>\n",
       "      <td>10.447325</td>\n",
       "      <td>1.685657</td>\n",
       "      <td>2009-06-21 09:42:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.702500</td>\n",
       "      <td>48.470167</td>\n",
       "      <td>-124.548500</td>\n",
       "      <td>9.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>20.82</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>13.40</td>\n",
       "      <td>22.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>32.227928</td>\n",
       "      <td>10.043882</td>\n",
       "      <td>9.617975</td>\n",
       "      <td>2009-06-21 09:42:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>953</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.702500</td>\n",
       "      <td>48.470167</td>\n",
       "      <td>-124.548500</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.94</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>26.30</td>\n",
       "      <td>42.30</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>32.455806</td>\n",
       "      <td>8.610200</td>\n",
       "      <td>19.830381</td>\n",
       "      <td>2009-06-21 09:42:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>12.248611</td>\n",
       "      <td>48.500667</td>\n",
       "      <td>-124.734333</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>14.93</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>8.30</td>\n",
       "      <td>14.70</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>32.114649</td>\n",
       "      <td>10.288480</td>\n",
       "      <td>1.784808</td>\n",
       "      <td>2009-06-21 12:14:55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>12.248611</td>\n",
       "      <td>48.500667</td>\n",
       "      <td>-124.734333</td>\n",
       "      <td>10.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>4.22</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>23.40</td>\n",
       "      <td>37.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>32.238194</td>\n",
       "      <td>9.025464</td>\n",
       "      <td>10.807766</td>\n",
       "      <td>2009-06-21 12:14:55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>12.248611</td>\n",
       "      <td>48.500667</td>\n",
       "      <td>-124.734333</td>\n",
       "      <td>20.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>7.72</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>16.00</td>\n",
       "      <td>24.50</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>32.655002</td>\n",
       "      <td>9.332093</td>\n",
       "      <td>19.929473</td>\n",
       "      <td>2009-06-21 12:14:55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1365</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.985556</td>\n",
       "      <td>48.501167</td>\n",
       "      <td>-124.733833</td>\n",
       "      <td>2.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.21</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.90</td>\n",
       "      <td>36.20</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.192511</td>\n",
       "      <td>10.693282</td>\n",
       "      <td>2.082275</td>\n",
       "      <td>2010-06-23 17:59:08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1367</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.985556</td>\n",
       "      <td>48.501167</td>\n",
       "      <td>-124.733833</td>\n",
       "      <td>10.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.97</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.20</td>\n",
       "      <td>36.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.734785</td>\n",
       "      <td>10.334393</td>\n",
       "      <td>10.609463</td>\n",
       "      <td>2010-06-23 17:59:08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1368</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.985556</td>\n",
       "      <td>48.501167</td>\n",
       "      <td>-124.733833</td>\n",
       "      <td>20.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.67</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.90</td>\n",
       "      <td>36.60</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.796463</td>\n",
       "      <td>9.924836</td>\n",
       "      <td>20.524351</td>\n",
       "      <td>2010-06-23 17:59:08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1381</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.547500</td>\n",
       "      <td>48.469167</td>\n",
       "      <td>-124.543833</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.70</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>19.70</td>\n",
       "      <td>34.10</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.625980</td>\n",
       "      <td>10.839667</td>\n",
       "      <td>1.784813</td>\n",
       "      <td>2010-06-23 21:32:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1383</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.547500</td>\n",
       "      <td>48.469167</td>\n",
       "      <td>-124.543833</td>\n",
       "      <td>10.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.35</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.30</td>\n",
       "      <td>35.20</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.735047</td>\n",
       "      <td>10.256759</td>\n",
       "      <td>10.708646</td>\n",
       "      <td>2010-06-23 21:32:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1384</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.547500</td>\n",
       "      <td>48.469167</td>\n",
       "      <td>-124.543833</td>\n",
       "      <td>21.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.79</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>24.60</td>\n",
       "      <td>38.20</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.941687</td>\n",
       "      <td>9.245623</td>\n",
       "      <td>20.920998</td>\n",
       "      <td>2010-06-23 21:32:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1395</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.106111</td>\n",
       "      <td>48.309333</td>\n",
       "      <td>-124.065667</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.05</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.60</td>\n",
       "      <td>35.90</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.990361</td>\n",
       "      <td>10.610546</td>\n",
       "      <td>1.784839</td>\n",
       "      <td>2010-06-24 03:06:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1396</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.106111</td>\n",
       "      <td>48.309333</td>\n",
       "      <td>-124.065667</td>\n",
       "      <td>5.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.13</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.60</td>\n",
       "      <td>36.10</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.974905</td>\n",
       "      <td>10.626953</td>\n",
       "      <td>5.850249</td>\n",
       "      <td>2010-06-24 03:06:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.106111</td>\n",
       "      <td>48.309333</td>\n",
       "      <td>-124.065667</td>\n",
       "      <td>10.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.09</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.20</td>\n",
       "      <td>36.40</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.032588</td>\n",
       "      <td>10.504902</td>\n",
       "      <td>10.807956</td>\n",
       "      <td>2010-06-24 03:06:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1398</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.106111</td>\n",
       "      <td>48.309333</td>\n",
       "      <td>-124.065667</td>\n",
       "      <td>20.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.72</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.50</td>\n",
       "      <td>35.90</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.393976</td>\n",
       "      <td>9.616825</td>\n",
       "      <td>20.227267</td>\n",
       "      <td>2010-06-24 03:06:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1408</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.188333</td>\n",
       "      <td>48.259500</td>\n",
       "      <td>-123.717000</td>\n",
       "      <td>1.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.80</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.10</td>\n",
       "      <td>35.80</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.778134</td>\n",
       "      <td>10.567536</td>\n",
       "      <td>1.685690</td>\n",
       "      <td>2010-06-24 07:11:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1410</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.188333</td>\n",
       "      <td>48.259500</td>\n",
       "      <td>-123.717000</td>\n",
       "      <td>10.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.83</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.80</td>\n",
       "      <td>36.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.830208</td>\n",
       "      <td>10.494354</td>\n",
       "      <td>10.808005</td>\n",
       "      <td>2010-06-24 07:11:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14308</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.140833</td>\n",
       "      <td>48.260333</td>\n",
       "      <td>-123.721500</td>\n",
       "      <td>20.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.61</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>27.40</td>\n",
       "      <td>43.60</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.988824</td>\n",
       "      <td>8.653933</td>\n",
       "      <td>19.929912</td>\n",
       "      <td>2008-06-20 05:08:27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14317</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.683333</td>\n",
       "      <td>48.310500</td>\n",
       "      <td>-124.068167</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>3.47</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.30</td>\n",
       "      <td>39.30</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.309083</td>\n",
       "      <td>9.425148</td>\n",
       "      <td>1.983154</td>\n",
       "      <td>2008-06-20 07:41:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14319</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.683333</td>\n",
       "      <td>48.310500</td>\n",
       "      <td>-124.068167</td>\n",
       "      <td>9.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>4.06</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>26.20</td>\n",
       "      <td>42.60</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.743512</td>\n",
       "      <td>8.860797</td>\n",
       "      <td>9.816423</td>\n",
       "      <td>2008-06-20 07:41:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14320</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.683333</td>\n",
       "      <td>48.310500</td>\n",
       "      <td>-124.068167</td>\n",
       "      <td>19.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>3.50</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>26.60</td>\n",
       "      <td>42.80</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.809192</td>\n",
       "      <td>8.801711</td>\n",
       "      <td>19.533226</td>\n",
       "      <td>2008-06-20 07:41:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44511</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.816944</td>\n",
       "      <td>48.299333</td>\n",
       "      <td>-123.998833</td>\n",
       "      <td>3.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.27</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.49</td>\n",
       "      <td>37.04</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.670660</td>\n",
       "      <td>10.022609</td>\n",
       "      <td>3.867136</td>\n",
       "      <td>2016-06-06 09:49:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44524</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.563333</td>\n",
       "      <td>48.500500</td>\n",
       "      <td>-124.734500</td>\n",
       "      <td>3.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.65</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>18.35</td>\n",
       "      <td>32.96</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.709232</td>\n",
       "      <td>11.719243</td>\n",
       "      <td>3.569601</td>\n",
       "      <td>2016-06-16 14:33:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44526</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.563333</td>\n",
       "      <td>48.500500</td>\n",
       "      <td>-124.734500</td>\n",
       "      <td>10.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.90</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>18.44</td>\n",
       "      <td>32.84</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.708073</td>\n",
       "      <td>11.512623</td>\n",
       "      <td>10.014555</td>\n",
       "      <td>2016-06-16 14:33:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44527</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.563333</td>\n",
       "      <td>48.500500</td>\n",
       "      <td>-124.734500</td>\n",
       "      <td>19.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.81</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.04</td>\n",
       "      <td>35.14</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.396285</td>\n",
       "      <td>10.166112</td>\n",
       "      <td>19.433738</td>\n",
       "      <td>2016-06-16 14:33:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44538</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.624444</td>\n",
       "      <td>48.470500</td>\n",
       "      <td>-124.547667</td>\n",
       "      <td>1.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.11</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>19.27</td>\n",
       "      <td>34.28</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.017351</td>\n",
       "      <td>11.385460</td>\n",
       "      <td>1.883969</td>\n",
       "      <td>2016-06-16 17:37:28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44541</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.624444</td>\n",
       "      <td>48.470500</td>\n",
       "      <td>-124.547667</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.79</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>22.84</td>\n",
       "      <td>37.42</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.641506</td>\n",
       "      <td>9.680428</td>\n",
       "      <td>9.915431</td>\n",
       "      <td>2016-06-16 17:37:28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44542</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.624444</td>\n",
       "      <td>48.470500</td>\n",
       "      <td>-124.547667</td>\n",
       "      <td>20.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.60</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>23.86</td>\n",
       "      <td>38.61</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.809808</td>\n",
       "      <td>9.492293</td>\n",
       "      <td>19.929528</td>\n",
       "      <td>2016-06-16 17:37:28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44554</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>22.022500</td>\n",
       "      <td>48.309667</td>\n",
       "      <td>-124.066833</td>\n",
       "      <td>1.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.90</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>17.74</td>\n",
       "      <td>30.80</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.605620</td>\n",
       "      <td>11.778187</td>\n",
       "      <td>1.586525</td>\n",
       "      <td>2016-06-16 22:01:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44556</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>22.022500</td>\n",
       "      <td>48.309667</td>\n",
       "      <td>-124.066833</td>\n",
       "      <td>9.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.44</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>18.90</td>\n",
       "      <td>32.78</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.697195</td>\n",
       "      <td>10.994266</td>\n",
       "      <td>9.816424</td>\n",
       "      <td>2016-06-16 22:01:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44557</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>22.022500</td>\n",
       "      <td>48.309667</td>\n",
       "      <td>-124.066833</td>\n",
       "      <td>20.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.96</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.82</td>\n",
       "      <td>34.94</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.989751</td>\n",
       "      <td>10.216089</td>\n",
       "      <td>20.028970</td>\n",
       "      <td>2016-06-16 22:01:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44567</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.200833</td>\n",
       "      <td>48.260000</td>\n",
       "      <td>-123.720333</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.17</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>15.95</td>\n",
       "      <td>30.01</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.376460</td>\n",
       "      <td>11.775605</td>\n",
       "      <td>2.677265</td>\n",
       "      <td>2016-06-17 01:12:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44570</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.200833</td>\n",
       "      <td>48.260000</td>\n",
       "      <td>-123.720333</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.15</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>17.07</td>\n",
       "      <td>30.69</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.488583</td>\n",
       "      <td>10.947426</td>\n",
       "      <td>9.915622</td>\n",
       "      <td>2016-06-17 01:12:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44571</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.200833</td>\n",
       "      <td>48.260000</td>\n",
       "      <td>-123.720333</td>\n",
       "      <td>19.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.14</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>17.07</td>\n",
       "      <td>30.58</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.216834</td>\n",
       "      <td>10.073979</td>\n",
       "      <td>19.632465</td>\n",
       "      <td>2016-06-17 01:12:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46099</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.983333</td>\n",
       "      <td>48.300333</td>\n",
       "      <td>-124.003167</td>\n",
       "      <td>5.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.40</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>19.31</td>\n",
       "      <td>32.86</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.776208</td>\n",
       "      <td>10.253985</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2017-06-05 11:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46877</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.129167</td>\n",
       "      <td>48.500000</td>\n",
       "      <td>-124.734500</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.20</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>15.08</td>\n",
       "      <td>29.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.576887</td>\n",
       "      <td>12.066188</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>2017-06-22 17:07:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46881</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.129167</td>\n",
       "      <td>48.500000</td>\n",
       "      <td>-124.734500</td>\n",
       "      <td>9.3</td>\n",
       "      <td>9.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.25</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>15.81</td>\n",
       "      <td>29.75</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.765576</td>\n",
       "      <td>11.704150</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>2017-06-22 17:07:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46882</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.129167</td>\n",
       "      <td>48.500000</td>\n",
       "      <td>-124.734500</td>\n",
       "      <td>20.0</td>\n",
       "      <td>19.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.23</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.54</td>\n",
       "      <td>34.35</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.277714</td>\n",
       "      <td>10.277012</td>\n",
       "      <td>19.800000</td>\n",
       "      <td>2017-06-22 17:07:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46893</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.935000</td>\n",
       "      <td>48.469500</td>\n",
       "      <td>-124.546000</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2.80</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>12.56</td>\n",
       "      <td>26.56</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.585129</td>\n",
       "      <td>12.390519</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>2017-06-22 20:56:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46897</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.935000</td>\n",
       "      <td>48.469500</td>\n",
       "      <td>-124.546000</td>\n",
       "      <td>10.2</td>\n",
       "      <td>10.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.77</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.24</td>\n",
       "      <td>34.21</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.611670</td>\n",
       "      <td>10.915805</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>2017-06-22 20:56:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46898</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.935000</td>\n",
       "      <td>48.469500</td>\n",
       "      <td>-124.546000</td>\n",
       "      <td>19.7</td>\n",
       "      <td>19.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.18</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.17</td>\n",
       "      <td>34.89</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.809728</td>\n",
       "      <td>10.235778</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>2017-06-22 20:56:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46910</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.790556</td>\n",
       "      <td>48.310667</td>\n",
       "      <td>-124.067000</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.41</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.19</td>\n",
       "      <td>34.47</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.600015</td>\n",
       "      <td>11.502959</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>2017-06-23 01:47:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46912</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.790556</td>\n",
       "      <td>48.310667</td>\n",
       "      <td>-124.067000</td>\n",
       "      <td>10.2</td>\n",
       "      <td>10.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.25</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>19.92</td>\n",
       "      <td>34.01</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.703519</td>\n",
       "      <td>10.774795</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>2017-06-23 01:47:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46913</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.790556</td>\n",
       "      <td>48.310667</td>\n",
       "      <td>-124.067000</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.01</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.97</td>\n",
       "      <td>35.16</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.779220</td>\n",
       "      <td>10.450065</td>\n",
       "      <td>20.400000</td>\n",
       "      <td>2017-06-23 01:47:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46923</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>4.822778</td>\n",
       "      <td>48.259667</td>\n",
       "      <td>-123.719333</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.25</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>19.69</td>\n",
       "      <td>33.36</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.498009</td>\n",
       "      <td>10.782388</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>2017-06-23 04:49:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46926</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>4.822778</td>\n",
       "      <td>48.259667</td>\n",
       "      <td>-123.719333</td>\n",
       "      <td>10.1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.19</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>19.70</td>\n",
       "      <td>33.31</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.527568</td>\n",
       "      <td>10.725600</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2017-06-23 04:49:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46927</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>4.822778</td>\n",
       "      <td>48.259667</td>\n",
       "      <td>-123.719333</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.17</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>20.49</td>\n",
       "      <td>33.75</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.961474</td>\n",
       "      <td>10.351940</td>\n",
       "      <td>20.400000</td>\n",
       "      <td>2017-06-23 04:49:22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>187 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Year  Month   Day       Hour        Lat         Lon  Pressure  Depth  \\\n",
       "11     2008.0    6.0  20.0  11.473056  48.470000 -124.547167       2.0    NaN   \n",
       "13     2008.0    6.0  20.0  11.473056  48.470000 -124.547167       9.9    NaN   \n",
       "14     2008.0    6.0  20.0  11.473056  48.470000 -124.547167      19.5    NaN   \n",
       "25     2008.0    6.0  20.0  13.969167  48.501167 -124.734667       2.0    NaN   \n",
       "27     2008.0    6.0  20.0  13.969167  48.501167 -124.734667       9.7    NaN   \n",
       "28     2008.0    6.0  20.0  13.969167  48.501167 -124.734667      20.2    NaN   \n",
       "925    2009.0    6.0  21.0   2.736389  48.260333 -123.721333       2.0    NaN   \n",
       "927    2009.0    6.0  21.0   2.736389  48.260333 -123.721333      10.3    NaN   \n",
       "928    2009.0    6.0  21.0   2.736389  48.260333 -123.721333      20.6    NaN   \n",
       "937    2009.0    6.0  21.0   5.835833  48.309833 -124.067667       1.9    NaN   \n",
       "939    2009.0    6.0  21.0   5.835833  48.309833 -124.067667      10.1    NaN   \n",
       "940    2009.0    6.0  21.0   5.835833  48.309833 -124.067667      20.5    NaN   \n",
       "950    2009.0    6.0  21.0   9.702500  48.470167 -124.548500       1.7    NaN   \n",
       "952    2009.0    6.0  21.0   9.702500  48.470167 -124.548500       9.7    NaN   \n",
       "953    2009.0    6.0  21.0   9.702500  48.470167 -124.548500      20.0    NaN   \n",
       "964    2009.0    6.0  21.0  12.248611  48.500667 -124.734333       1.8    NaN   \n",
       "966    2009.0    6.0  21.0  12.248611  48.500667 -124.734333      10.9    NaN   \n",
       "967    2009.0    6.0  21.0  12.248611  48.500667 -124.734333      20.1    NaN   \n",
       "1365   2010.0    6.0  23.0  17.985556  48.501167 -124.733833       2.1    NaN   \n",
       "1367   2010.0    6.0  23.0  17.985556  48.501167 -124.733833      10.7    NaN   \n",
       "1368   2010.0    6.0  23.0  17.985556  48.501167 -124.733833      20.7    NaN   \n",
       "1381   2010.0    6.0  23.0  21.547500  48.469167 -124.543833       1.8    NaN   \n",
       "1383   2010.0    6.0  23.0  21.547500  48.469167 -124.543833      10.8    NaN   \n",
       "1384   2010.0    6.0  23.0  21.547500  48.469167 -124.543833      21.1    NaN   \n",
       "1395   2010.0    6.0  24.0   3.106111  48.309333 -124.065667       1.8    NaN   \n",
       "1396   2010.0    6.0  24.0   3.106111  48.309333 -124.065667       5.9    NaN   \n",
       "1397   2010.0    6.0  24.0   3.106111  48.309333 -124.065667      10.9    NaN   \n",
       "1398   2010.0    6.0  24.0   3.106111  48.309333 -124.065667      20.4    NaN   \n",
       "1408   2010.0    6.0  24.0   7.188333  48.259500 -123.717000       1.7    NaN   \n",
       "1410   2010.0    6.0  24.0   7.188333  48.259500 -123.717000      10.9    NaN   \n",
       "...       ...    ...   ...        ...        ...         ...       ...    ...   \n",
       "14308  2008.0    6.0  20.0   5.140833  48.260333 -123.721500      20.1    NaN   \n",
       "14317  2008.0    6.0  20.0   7.683333  48.310500 -124.068167       2.0    NaN   \n",
       "14319  2008.0    6.0  20.0   7.683333  48.310500 -124.068167       9.9    NaN   \n",
       "14320  2008.0    6.0  20.0   7.683333  48.310500 -124.068167      19.7    NaN   \n",
       "44511  2016.0    6.0   6.0   9.816944  48.299333 -123.998833       3.9    NaN   \n",
       "44524  2016.0    6.0  16.0  14.563333  48.500500 -124.734500       3.6    NaN   \n",
       "44526  2016.0    6.0  16.0  14.563333  48.500500 -124.734500      10.1    NaN   \n",
       "44527  2016.0    6.0  16.0  14.563333  48.500500 -124.734500      19.6    NaN   \n",
       "44538  2016.0    6.0  16.0  17.624444  48.470500 -124.547667       1.9    NaN   \n",
       "44541  2016.0    6.0  16.0  17.624444  48.470500 -124.547667      10.0    NaN   \n",
       "44542  2016.0    6.0  16.0  17.624444  48.470500 -124.547667      20.1    NaN   \n",
       "44554  2016.0    6.0  16.0  22.022500  48.309667 -124.066833       1.6    NaN   \n",
       "44556  2016.0    6.0  16.0  22.022500  48.309667 -124.066833       9.9    NaN   \n",
       "44557  2016.0    6.0  16.0  22.022500  48.309667 -124.066833      20.2    NaN   \n",
       "44567  2016.0    6.0  17.0   1.200833  48.260000 -123.720333       2.7    NaN   \n",
       "44570  2016.0    6.0  17.0   1.200833  48.260000 -123.720333      10.0    NaN   \n",
       "44571  2016.0    6.0  17.0   1.200833  48.260000 -123.720333      19.8    NaN   \n",
       "46099  2017.0    6.0   5.0  11.983333  48.300333 -124.003167       5.1    5.0   \n",
       "46877  2017.0    6.0  22.0  17.129167  48.500000 -124.734500       1.3    1.3   \n",
       "46881  2017.0    6.0  22.0  17.129167  48.500000 -124.734500       9.3    9.2   \n",
       "46882  2017.0    6.0  22.0  17.129167  48.500000 -124.734500      20.0   19.8   \n",
       "46893  2017.0    6.0  22.0  20.935000  48.469500 -124.546000       0.6    0.6   \n",
       "46897  2017.0    6.0  22.0  20.935000  48.469500 -124.546000      10.2   10.1   \n",
       "46898  2017.0    6.0  22.0  20.935000  48.469500 -124.546000      19.7   19.5   \n",
       "46910  2017.0    6.0  23.0   1.790556  48.310667 -124.067000       1.1    1.1   \n",
       "46912  2017.0    6.0  23.0   1.790556  48.310667 -124.067000      10.2   10.1   \n",
       "46913  2017.0    6.0  23.0   1.790556  48.310667 -124.067000      20.6   20.4   \n",
       "46923  2017.0    6.0  23.0   4.822778  48.259667 -123.719333       1.2    1.2   \n",
       "46926  2017.0    6.0  23.0   4.822778  48.259667 -123.719333      10.1   10.0   \n",
       "46927  2017.0    6.0  23.0   4.822778  48.259667 -123.719333      20.6   20.4   \n",
       "\n",
       "       Ammonium Ammonium_units  Chlorophyll_Extracted  \\\n",
       "11          NaN           None                   5.30   \n",
       "13          NaN           None                   3.51   \n",
       "14          NaN           None                   1.91   \n",
       "25          NaN           None                   4.37   \n",
       "27          NaN           None                   3.69   \n",
       "28          NaN           None                   0.76   \n",
       "925         NaN           None                   4.97   \n",
       "927         NaN           None                   5.27   \n",
       "928         NaN           None                   4.97   \n",
       "937         NaN           None                  17.64   \n",
       "939         NaN           None                  10.68   \n",
       "940         NaN           None                  13.34   \n",
       "950         NaN           None                  12.89   \n",
       "952         NaN           None                  20.82   \n",
       "953         NaN           None                   0.94   \n",
       "964         NaN           None                  14.93   \n",
       "966         NaN           None                   4.22   \n",
       "967         NaN           None                   7.72   \n",
       "1365        NaN           None                   1.21   \n",
       "1367        NaN           None                   1.97   \n",
       "1368        NaN           None                   1.67   \n",
       "1381        NaN           None                   2.70   \n",
       "1383        NaN           None                   2.35   \n",
       "1384        NaN           None                   0.79   \n",
       "1395        NaN           None                   1.05   \n",
       "1396        NaN           None                   1.13   \n",
       "1397        NaN           None                   1.09   \n",
       "1398        NaN           None                   0.72   \n",
       "1408        NaN           None                   0.80   \n",
       "1410        NaN           None                   0.83   \n",
       "...         ...            ...                    ...   \n",
       "14308       NaN           None                   1.61   \n",
       "14317       NaN           None                   3.47   \n",
       "14319       NaN           None                   4.06   \n",
       "14320       NaN           None                   3.50   \n",
       "44511       NaN           None                   1.27   \n",
       "44524       NaN           None                   2.65   \n",
       "44526       NaN           None                   1.90   \n",
       "44527       NaN           None                   0.81   \n",
       "44538       NaN           None                   2.11   \n",
       "44541       NaN           None                   0.79   \n",
       "44542       NaN           None                   0.60   \n",
       "44554       NaN           None                   1.90   \n",
       "44556       NaN           None                   1.44   \n",
       "44557       NaN           None                   0.96   \n",
       "44567       NaN           None                   1.17   \n",
       "44570       NaN           None                   1.15   \n",
       "44571       NaN           None                   1.14   \n",
       "46099       NaN           None                   1.40   \n",
       "46877       NaN           None                   2.20   \n",
       "46881       NaN           None                   2.25   \n",
       "46882       NaN           None                   1.23   \n",
       "46893       NaN           None                   2.80   \n",
       "46897       NaN           None                   1.77   \n",
       "46898       NaN           None                   1.18   \n",
       "46910       NaN           None                   1.41   \n",
       "46912       NaN           None                   1.25   \n",
       "46913       NaN           None                   1.01   \n",
       "46923       NaN           None                   1.25   \n",
       "46926       NaN           None                   1.19   \n",
       "46927       NaN           None                   1.17   \n",
       "\n",
       "      Chlorophyll_Extracted_units      N     Si Silicate_units     AbsSal  \\\n",
       "11                         mg/m^3  21.30  37.70         umol/L  31.731979   \n",
       "13                         mg/m^3  25.00  39.90         umol/L  31.827200   \n",
       "14                         mg/m^3  26.80  42.10         umol/L  31.946372   \n",
       "25                         mg/m^3  21.80  37.00         umol/L  31.779231   \n",
       "27                         mg/m^3  23.30  37.30         umol/L  31.845634   \n",
       "28                         mg/m^3  29.40  45.90         umol/L  32.482873   \n",
       "925                        mg/m^3  20.20  34.60         umol/L  31.818120   \n",
       "927                        mg/m^3  20.60  34.80         umol/L  31.831216   \n",
       "928                        mg/m^3  22.10  36.50         umol/L  31.990000   \n",
       "937                        mg/m^3  14.80  25.80         umol/L  31.855916   \n",
       "939                        mg/m^3  17.20  29.40         umol/L  31.855544   \n",
       "940                        mg/m^3  17.30  28.50         umol/L  31.930037   \n",
       "950                        mg/m^3  12.80  22.70         umol/L  31.797204   \n",
       "952                        mg/m^3  13.40  22.00         umol/L  32.227928   \n",
       "953                        mg/m^3  26.30  42.30         umol/L  32.455806   \n",
       "964                        mg/m^3   8.30  14.70         umol/L  32.114649   \n",
       "966                        mg/m^3  23.40  37.00         umol/L  32.238194   \n",
       "967                        mg/m^3  16.00  24.50         umol/L  32.655002   \n",
       "1365                       mg/m^3  21.90  36.20         umol/L  31.192511   \n",
       "1367                       mg/m^3  22.20  36.00         umol/L  31.734785   \n",
       "1368                       mg/m^3  22.90  36.60         umol/L  31.796463   \n",
       "1381                       mg/m^3  19.70  34.10         umol/L  31.625980   \n",
       "1383                       mg/m^3  21.30  35.20         umol/L  31.735047   \n",
       "1384                       mg/m^3  24.60  38.20         umol/L  31.941687   \n",
       "1395                       mg/m^3  21.60  35.90         umol/L  30.990361   \n",
       "1396                       mg/m^3  21.60  36.10         umol/L  30.974905   \n",
       "1397                       mg/m^3  22.20  36.40         umol/L  31.032588   \n",
       "1398                       mg/m^3  22.50  35.90         umol/L  31.393976   \n",
       "1408                       mg/m^3  21.10  35.80         umol/L  30.778134   \n",
       "1410                       mg/m^3  21.80  36.00         umol/L  30.830208   \n",
       "...                           ...    ...    ...            ...        ...   \n",
       "14308                      mg/m^3  27.40  43.60         umol/L  31.988824   \n",
       "14317                      mg/m^3  22.30  39.30         umol/L  31.309083   \n",
       "14319                      mg/m^3  26.20  42.60         umol/L  31.743512   \n",
       "14320                      mg/m^3  26.60  42.80         umol/L  31.809192   \n",
       "44511                      mg/m^3  22.49  37.04         umol/L  31.670660   \n",
       "44524                      mg/m^3  18.35  32.96         umol/L  30.709232   \n",
       "44526                      mg/m^3  18.44  32.84         umol/L  30.708073   \n",
       "44527                      mg/m^3  21.04  35.14         umol/L  31.396285   \n",
       "44538                      mg/m^3  19.27  34.28         umol/L  31.017351   \n",
       "44541                      mg/m^3  22.84  37.42         umol/L  31.641506   \n",
       "44542                      mg/m^3  23.86  38.61         umol/L  31.809808   \n",
       "44554                      mg/m^3  17.74  30.80         umol/L  30.605620   \n",
       "44556                      mg/m^3  18.90  32.78         umol/L  30.697195   \n",
       "44557                      mg/m^3  20.82  34.94         umol/L  30.989751   \n",
       "44567                      mg/m^3  15.95  30.01         umol/L  30.376460   \n",
       "44570                      mg/m^3  17.07  30.69         umol/L  30.488583   \n",
       "44571                      mg/m^3  17.07  30.58         umol/L  31.216834   \n",
       "46099                      mg/m^3  19.31  32.86         umol/L  30.776208   \n",
       "46877                      mg/m^3  15.08  29.00         umol/L  30.576887   \n",
       "46881                      mg/m^3  15.81  29.75         umol/L  30.765576   \n",
       "46882                      mg/m^3  20.54  34.35         umol/L  31.277714   \n",
       "46893                      mg/m^3  12.56  26.56         umol/L  30.585129   \n",
       "46897                      mg/m^3  20.24  34.21         umol/L  30.611670   \n",
       "46898                      mg/m^3  21.17  34.89         umol/L  30.809728   \n",
       "46910                      mg/m^3  20.19  34.47         umol/L  30.600015   \n",
       "46912                      mg/m^3  19.92  34.01         umol/L  30.703519   \n",
       "46913                      mg/m^3  20.97  35.16         umol/L  30.779220   \n",
       "46923                      mg/m^3  19.69  33.36         umol/L  30.498009   \n",
       "46926                      mg/m^3  19.70  33.31         umol/L  30.527568   \n",
       "46927                      mg/m^3  20.49  33.75         umol/L  30.961474   \n",
       "\n",
       "           ConsT          Z               dtUTC  \n",
       "11      9.648685   1.983125 2008-06-20 11:28:23  \n",
       "13      9.083090   9.816280 2008-06-20 11:28:23  \n",
       "14      8.948434  19.334645 2008-06-20 11:28:23  \n",
       "25      9.465428   1.983119 2008-06-20 13:58:09  \n",
       "27      9.169437   9.617948 2008-06-20 13:58:09  \n",
       "28      8.245013  20.028618 2008-06-20 13:58:09  \n",
       "925     9.778811   1.983163 2009-06-21 02:44:11  \n",
       "927     9.726881  10.213083 2009-06-21 02:44:11  \n",
       "928     9.281489  20.425656 2009-06-21 02:44:11  \n",
       "937    10.077544   1.883997 2009-06-21 05:50:09  \n",
       "939    10.077846  10.014730 2009-06-21 05:50:09  \n",
       "940     9.960018  20.326415 2009-06-21 05:50:09  \n",
       "950    10.447325   1.685657 2009-06-21 09:42:09  \n",
       "952    10.043882   9.617975 2009-06-21 09:42:09  \n",
       "953     8.610200  19.830381 2009-06-21 09:42:09  \n",
       "964    10.288480   1.784808 2009-06-21 12:14:55  \n",
       "966     9.025464  10.807766 2009-06-21 12:14:55  \n",
       "967     9.332093  19.929473 2009-06-21 12:14:55  \n",
       "1365   10.693282   2.082275 2010-06-23 17:59:08  \n",
       "1367   10.334393  10.609463 2010-06-23 17:59:08  \n",
       "1368    9.924836  20.524351 2010-06-23 17:59:08  \n",
       "1381   10.839667   1.784813 2010-06-23 21:32:51  \n",
       "1383   10.256759  10.708646 2010-06-23 21:32:51  \n",
       "1384    9.245623  20.920998 2010-06-23 21:32:51  \n",
       "1395   10.610546   1.784839 2010-06-24 03:06:22  \n",
       "1396   10.626953   5.850249 2010-06-24 03:06:22  \n",
       "1397   10.504902  10.807956 2010-06-24 03:06:22  \n",
       "1398    9.616825  20.227267 2010-06-24 03:06:22  \n",
       "1408   10.567536   1.685690 2010-06-24 07:11:18  \n",
       "1410   10.494354  10.808005 2010-06-24 07:11:18  \n",
       "...          ...        ...                 ...  \n",
       "14308   8.653933  19.929912 2008-06-20 05:08:27  \n",
       "14317   9.425148   1.983154 2008-06-20 07:41:00  \n",
       "14319   8.860797   9.816423 2008-06-20 07:41:00  \n",
       "14320   8.801711  19.533226 2008-06-20 07:41:00  \n",
       "44511  10.022609   3.867136 2016-06-06 09:49:01  \n",
       "44524  11.719243   3.569601 2016-06-16 14:33:48  \n",
       "44526  11.512623  10.014555 2016-06-16 14:33:48  \n",
       "44527  10.166112  19.433738 2016-06-16 14:33:48  \n",
       "44538  11.385460   1.883969 2016-06-16 17:37:28  \n",
       "44541   9.680428   9.915431 2016-06-16 17:37:28  \n",
       "44542   9.492293  19.929528 2016-06-16 17:37:28  \n",
       "44554  11.778187   1.586525 2016-06-16 22:01:21  \n",
       "44556  10.994266   9.816424 2016-06-16 22:01:21  \n",
       "44557  10.216089  20.028970 2016-06-16 22:01:21  \n",
       "44567  11.775605   2.677265 2016-06-17 01:12:03  \n",
       "44570  10.947426   9.915622 2016-06-17 01:12:03  \n",
       "44571  10.073979  19.632465 2016-06-17 01:12:03  \n",
       "46099  10.253985   5.000000 2017-06-05 11:59:00  \n",
       "46877  12.066188   1.300000 2017-06-22 17:07:45  \n",
       "46881  11.704150   9.200000 2017-06-22 17:07:45  \n",
       "46882  10.277012  19.800000 2017-06-22 17:07:45  \n",
       "46893  12.390519   0.600000 2017-06-22 20:56:06  \n",
       "46897  10.915805  10.100000 2017-06-22 20:56:06  \n",
       "46898  10.235778  19.500000 2017-06-22 20:56:06  \n",
       "46910  11.502959   1.100000 2017-06-23 01:47:26  \n",
       "46912  10.774795  10.100000 2017-06-23 01:47:26  \n",
       "46913  10.450065  20.400000 2017-06-23 01:47:26  \n",
       "46923  10.782388   1.200000 2017-06-23 04:49:22  \n",
       "46926  10.725600  10.000000 2017-06-23 04:49:22  \n",
       "46927  10.351940  20.400000 2017-06-23 04:49:22  \n",
       "\n",
       "[187 rows x 19 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "test2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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