{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparison of 201905 Model Phytoplankton to HPLC Phytoplankton Abundances from Nina Nemcek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "papermill": {
     "duration": 2.59497,
     "end_time": "2020-11-16T18:41:27.623510",
     "exception": false,
     "start_time": "2020-11-16T18:41:25.028540",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np  # this module handles arrays, but here we need it for its NaN value\n",
    "import pandas as pd # this module contains a lot of tools for handling tabular data\n",
    "from matplotlib import pyplot as plt\n",
    "from salishsea_tools import evaltools as et\n",
    "import datetime as dt\n",
    "import os\n",
    "import gsw\n",
    "import pickle\n",
    "import netCDF4 as nc\n",
    "import cmocean\n",
    "from scipy import stats as spst\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data and matched model output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "papermill": {
     "duration": 0.021207,
     "end_time": "2020-11-16T18:41:27.664289",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.643082",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "modSourceDir= '/results2/SalishSea/nowcast-green.201905/'\n",
    "modver='201905'\n",
    "Chl_N=1.8 # Chl:N ratio\n",
    "startYMD=(2015,1,1)\n",
    "endYMD=(2018,12,31)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "papermill": {
     "duration": 0.021268,
     "end_time": "2020-11-16T18:41:27.741462",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.720194",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "start_date = dt.datetime(startYMD[0],startYMD[1],startYMD[2])\n",
    "end_date = dt.datetime(endYMD[0],endYMD[1],endYMD[2]) #dt.datetime(2019,6,30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "papermill": {
     "duration": 0.020773,
     "end_time": "2020-11-16T18:41:27.779566",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.758793",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "datestr='_'+start_date.strftime('%Y%m%d')+'_'+end_date.strftime('%Y%m%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "papermill": {
     "duration": 0.056725,
     "end_time": "2020-11-16T18:41:29.562101",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.505376",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "with nc.Dataset('/ocean/eolson/MEOPAR/NEMO-forcing/grid/mesh_mask201702_noLPE.nc') as mesh:\n",
    "    tmask=np.copy(mesh.variables['tmask'][0,:,:,:])\n",
    "    navlat=np.copy(mesh.variables['nav_lat'][:,:])\n",
    "    navlon=np.copy(mesh.variables['nav_lon'][:,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.022584,
     "end_time": "2020-11-16T18:41:27.819353",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.796769",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def subval(idf,colList):\n",
    "    # first value in colList should be the column you are going to keep\n",
    "    # follow with other columns that will be used to fill in when that column is NaN\n",
    "    # in order of precedence\n",
    "    if len(colList)==2:\n",
    "        idf[colList[0]]=[r[colList[0]] if not pd.isna(r[colList[0]]) \\\n",
    "                         else  r[colList[1]] for i,r in idf.iterrows()]\n",
    "    elif len(colList)==3:\n",
    "        idf[colList[0]]=[r[colList[0]] if not pd.isna(r[colList[0]]) \\\n",
    "                         else  r[colList[1]] if not pd.isna(r[colList[1]]) \\\n",
    "                         else r[colList[2]] for i,r in idf.iterrows()]\n",
    "    else:\n",
    "        raise NotImplementedError('Add to code to handle this case')\n",
    "    idf.drop(columns=list(colList[1:]),inplace=True)\n",
    "    return idf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "papermill": {
     "duration": 0.032863,
     "end_time": "2020-11-16T18:41:27.869564",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.836701",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "if os.path.isfile('matched_'+modver+datestr+'_NewALLO.pkl'):\n",
    "    data=pickle.load(open( 'matched_'+modver+datestr+'_NewALLO.pkl', 'rb' ) )\n",
    "else:\n",
    "    # define paths to the source files and eventual output file\n",
    "    flist=('/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2015_NewALLO.csv',\n",
    "           '/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2016_NewALLO.csv',\n",
    "           '/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2017_NewALLO.csv',\n",
    "           '/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2018_NewALLO.csv')#,\n",
    "           #'/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2019.csv')\n",
    "\n",
    "    dfs=list()\n",
    "    for fname in flist:\n",
    "        idf=pd.read_csv(fname)\n",
    "        print(fname,sorted(idf.keys()))\n",
    "        dfs.append(idf)\n",
    "    df=pd.concat(dfs,ignore_index=True,sort=False); # concatenate the list into a single table\n",
    "\n",
    "    df.drop(labels=['ADM:MISSION','ADM:PROJECT','ADM:SCIENTIST','Zone','Zone.1','Temperature:Draw',\n",
    "                    'Temperature:Draw [deg C (ITS90)]','Bottle:Firing_Sequence','Comments by sample_numbeR',\n",
    "                    'File Name','LOC:EVENT_NUMBER','Number_of_bin_records'\n",
    "                       ],axis=1,inplace=True)\n",
    "\n",
    "    #df=subval(df,('Dictyochophytes','Dictyo'))\n",
    "    df=subval(df,('Chlorophyll:Extracted [mg/m^3]','Chlorophyll:Extracted'))\n",
    "    #df=subval(df,('Dinoflagellates','Dinoflagellates-1'))\n",
    "    df=subval(df,('Fluorescence [mg/m^3]','Fluorescence:URU:Seapoint [mg/m^3]','Fluorescence:URU:Seapoint'))\n",
    "    df=subval(df,('Lat','LOC:LATITUDE'))\n",
    "    df=subval(df,('Lon','LOC:LONGITUDE'))\n",
    "    df=subval(df,('Nitrate_plus_Nitrite [umol/L]','Nitrate_plus_Nitrite'))\n",
    "    df=subval(df,('PAR [uE/m^2/sec]','PAR'))\n",
    "    df=subval(df,('Phaeo-Pigment:Extracted [mg/m^3]','Phaeo-Pigment:Extracted'))\n",
    "    df=subval(df,('Phosphate [umol/L]','Phosphate'))\n",
    "    df=subval(df,('Pressure [decibar]','Pressure'))\n",
    "    #df=subval(df,('Raphidophytes','Raphido'))\n",
    "    df=subval(df,('Salinity','Salinity [PSS-78]','Salinity:T1:C1 [PSS-78]'))\n",
    "    df=subval(df,('Salinity:Bottle','Salinity:Bottle [PSS-78]'))\n",
    "    df=subval(df,('Silicate [umol/L]','Silicate'))\n",
    "    #df=subval(df,('TchlA (ug/L)','TchlA'))\n",
    "    df=subval(df,('Temperature','Temperature [deg C (ITS90)]','Temperature:Secondary [deg C (ITS90)]'))\n",
    "    df=subval(df,('Transmissivity [*/metre]','Transmissivity'))\n",
    "\n",
    "    df['Z']=np.where(pd.isna(df['Depth [metres]']),\n",
    "                     -1*gsw.z_from_p(df['Pressure [decibar]'].values,df['Lat'].values),\n",
    "                     df['Depth [metres]'])\n",
    "    df['p']=np.where(pd.isna(df['Pressure [decibar]']),\n",
    "                     gsw.p_from_z(-1*df['Depth [metres]'].values,df['Lat'].values),\n",
    "                    df['Pressure [decibar]'])\n",
    "    df['SA']=gsw.SA_from_SP(df['Salinity'].values,df['p'].values,df['Lon'].values,df['Lat'].values)\n",
    "    df['CT']=gsw.CT_from_t(df['SA'].values,df['Temperature'].values,df['p'].values)\n",
    "    df.rename({'TchlA':'TchlA (ug/L)','Raphido':'Raphidophytes','Dinoflagellates-1':'Dinoflagellates',\n",
    "            'Dictyo':'Dictyochophytes'},axis=1, inplace=True, errors='raise')\n",
    "    df['dtUTC']=[dt.datetime.strptime(ii,'%Y-%m-%d %H:%M:%S') if isinstance(ii,str) else np.nan for ii in df['FIL:START TIME YYYY/MM/DD HH:MM:SS'] ]\n",
    "\n",
    "    PATH= modSourceDir\n",
    "\n",
    "    flen=1\n",
    "    namfmt='nowcast'\n",
    "    #varmap={'N':'nitrate','Si':'silicon','Ammonium':'ammonium'}\n",
    "    filemap={'nitrate':'ptrc_T','silicon':'ptrc_T','ammonium':'ptrc_T','diatoms':'ptrc_T','ciliates':'ptrc_T','flagellates':'ptrc_T','vosaline':'grid_T','votemper':'grid_T'}\n",
    "    #gridmap={'nitrate':'tmask','silicon':'tmask','ammonium':'tmask'}\n",
    "    fdict={'ptrc_T':1,'grid_T':1}\n",
    "\n",
    "    data=et.matchData(df,filemap,fdict,start_date,end_date,namfmt,PATH,flen)\n",
    "\n",
    "    with open('matched_'+modver+datestr+'_NewALLO.pkl','wb') as f:\n",
    "        pickle.dump(data,f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "papermill": {
     "duration": 0.026848,
     "end_time": "2020-11-16T18:41:27.913839",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.886991",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data['other']=0.0\n",
    "for el in ('Cryptophytes', 'Cyanobacteria', 'Dictyochophytes', 'Dinoflagellates',\n",
    "    'Haptophytes', 'Prasinophytes', 'Raphidophytes'):\n",
    "    data['other']=data['other']+data[el]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "papermill": {
     "duration": 0.104595,
     "end_time": "2020-11-16T18:41:29.169217",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.064622",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def yd(idt):\n",
    "    if type(idt)==dt.datetime:\n",
    "        yd=(idt-dt.datetime(idt.year-1,12,31)).days\n",
    "    else: # assume array or pandas\n",
    "        yd=[(ii-dt.datetime(ii.year-1,12,31)).days for ii in idt]\n",
    "    return yd\n",
    "\n",
    "data['yd']=yd(data['dtUTC'])\n",
    "data['Year']=[ii.year for ii in data['dtUTC']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "papermill": {
     "duration": 0.022354,
     "end_time": "2020-11-16T18:41:28.515306",
     "exception": false,
     "start_time": "2020-11-16T18:41:28.492952",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define log transform function with slight shift to accommodate zero values\n",
    "def logt(x):\n",
    "    return np.log10(x+.001)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What do HPLC-based observations look like in terms of species composition?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "hplclist=('Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "           'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Histogram by Year:\n",
    "for year in range(2015,2019):\n",
    "    fig,ax=plt.subplots(1,1,figsize=(12,2.5))\n",
    "    hplclist=('Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "           'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes')\n",
    "    x=np.array([logt(data[data.Year==year][el]) for el in hplclist]).T\n",
    "    cols=('darkblue','cornflowerblue','cyan','olive','limegreen','magenta','orange','firebrick','plum')\n",
    "    bins=np.linspace(-3,2,10)\n",
    "    ax.hist(x, bins, density=False, histtype='bar', color=cols, label=hplclist);\n",
    "    fig.legend(prop={'size': 12},loc='center right',bbox_to_anchor=[1.1,.5,0,0]);\n",
    "    ax.set_xlim(-3,2)\n",
    "    ax.set_xlabel('log10(Chl[ug/L]+.001)')\n",
    "    ax.set_ylabel('Count')\n",
    "    ax.set_title(year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The most abundant groups are diatoms-1\n",
    "- Medium abundance groups includ cryptophytes, prasinophytes, haptophytes, and raphidophytes, and dinoflagellates\n",
    "- Low abundance groups include cyanobacteria and dictyochophytes\n",
    "- The dinoflagellate contribution was higher in 2016-2018 compared to 2015."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=np.array([logt(data[el]) for el in hplclist]).T\n",
    "fig,ax=plt.subplots(1,1,figsize=(15,5))\n",
    "for i in range(0,len(hplclist)):\n",
    "    ax.plot(data['dtUTC'],x[:,i],'o',color=cols[i],label=hplclist[i],ms=4)\n",
    "fig.legend(loc='center right',bbox_to_anchor=[1.05,.5])\n",
    "ax.set_ylim(-3,2)\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('log10(Chl [ug/l]+.001)')\n",
    "for i in range(2015,2020):\n",
    "    ax.axvspan(dt.datetime(i-1,10,15),dt.datetime(i,3,1), facecolor='lightgrey', alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Diatoms-1 peak during the spring bloom, but are high most of thte time.\n",
    "- Diatoms-2 are lower abundance than diatoms-1 and show a less consistent seasonal pattern; they bloomed in spring 2015 and fall 2018\n",
    "- Cryptophytes make up a consistent medium-level contribution\n",
    "- Raphidophytes bloomed in summer 2018 in many samples\n",
    "- Dictyochophytes exhibit occasional isolated high values but are often low abundance\n",
    "- Dinoflagellates also exhibit occasional bloom values and generally low-to-medium abundance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model vs Obs Plots for various model-obs groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "papermill": {
     "duration": 0.542,
     "end_time": "2020-11-16T18:41:28.473018",
     "exception": false,
     "start_time": "2020-11-16T18:41:27.931018",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 8.0)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(2,2,figsize=(10,9))\n",
    "fig.subplots_adjust(hspace=.5)\n",
    "ax=ax.flatten()\n",
    "ax[0].plot(data['Diatoms-1']+data['Diatoms-2'],Chl_N*data['mod_diatoms'],'k.')\n",
    "ax[0].set_title('Diatoms (mg Chl/m$^3$)')\n",
    "ax[0].set_xlabel('HPLC')\n",
    "ax[0].set_ylabel('model')\n",
    "ax[0].plot((0,18),(0,18),'r-',alpha=.3)\n",
    "\n",
    "ax[1].plot(data['other'],Chl_N*(data['mod_flagellates']+data['mod_ciliates']),'k.')\n",
    "ax[1].set_title('non-Diatoms (mg Chl/m$^3$)')\n",
    "ax[1].set_xlabel('HPLC')\n",
    "ax[1].set_ylabel('model')\n",
    "ax[1].plot((0,12),(0,12),'r-',alpha=.3)\n",
    "\n",
    "ax[2].plot(data['Diatoms-1']+data['Diatoms-2'],Chl_N*data['mod_diatoms'],'k.')\n",
    "ax[2].set_title('Diatoms (mg Chl/m$^3$)')\n",
    "ax[2].set_xlabel('HPLC')\n",
    "ax[2].set_ylabel('model')\n",
    "ax[2].plot((0,25),(0,25),'r-',alpha=.3)\n",
    "ax[2].set_xlim((0,25))\n",
    "ax[2].set_ylim((0,25))\n",
    "\n",
    "ax[3].plot(data['other'],Chl_N*(data['mod_flagellates']+data['mod_ciliates']),'k.')\n",
    "ax[3].set_title('non-Diatoms (mg Chl/m$^3$)')\n",
    "ax[3].set_xlabel('HPLC')\n",
    "ax[3].set_ylabel('model')\n",
    "ax[3].plot((0,12),(0,12),'r-',alpha=.3)\n",
    "ax[3].set_xlim((0,8))\n",
    "ax[3].set_ylim((0,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "papermill": {
     "duration": 0.217369,
     "end_time": "2020-11-16T18:41:28.751940",
     "exception": false,
     "start_time": "2020-11-16T18:41:28.534571",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-3.1, 2.0)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# log-log model vs obs\n",
    "fig,ax=plt.subplots(1,2,figsize=(12,5))\n",
    "ax[0].plot(logt(data['Diatoms-1']+data['Diatoms-2']),logt(Chl_N*data['mod_diatoms']),'k.')\n",
    "ax[0].set_title('log10[ Diatoms (mg Chl/m$^3$) + 0.001]')\n",
    "ax[0].set_xlabel('HPLC')\n",
    "ax[0].set_ylabel('model')\n",
    "ax[0].set_xlim(-3.1,2)\n",
    "ax[0].set_ylim(-3.1,2)\n",
    "ax[0].plot((-6,3),(-6,3),'r-',alpha=.3)\n",
    "\n",
    "ax[1].plot(logt(data['other']),logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates'])),'k.')\n",
    "ax[1].set_title('log10[ non-Diatoms (mg Chl/m$^3$) + 0.001]')\n",
    "ax[1].set_xlabel('HPLC')\n",
    "ax[1].set_ylabel('model')\n",
    "ax[1].plot((-6,3),(-6,3),'r-',alpha=.3)\n",
    "ax[1].set_xlim(-3.1,2)\n",
    "ax[1].set_ylim(-3.1,2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- HPLC agreement for 201905 diatoms is not as strong as for 201805, but non-diatom agreement might be slightly better. \n",
    "- There is a separation between low and high model values for non-diatoms that is not present in 201812 comparisons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 0.126946,
     "end_time": "2020-11-16T18:41:28.899697",
     "exception": false,
     "start_time": "2020-11-16T18:41:28.772751",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# total chlorophyll comparisons\n",
    "\n",
    "fig,ax=plt.subplots(1,2,figsize=(12,5))\n",
    "ax[0].plot(data['TchlA (ug/L)'],Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms']),'k.')\n",
    "ax[0].set_title('Total Chlorophyll (ug/L)')\n",
    "ax[0].set_xlabel('HPLC')\n",
    "ax[0].set_ylabel('model')\n",
    "ax[0].plot((0,20),(0,20),'r-',alpha=.3)\n",
    "\n",
    "ax[1].plot(logt(data['TchlA (ug/L)']),logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms'])),'k.')\n",
    "ax[1].set_title('log10[ Total Chlorophyll (ug/L) + 0.001]')\n",
    "ax[1].set_xlabel('HPLC')\n",
    "ax[1].set_ylabel('model')\n",
    "ax[1].plot((-6,5),(-6,5),'r-',alpha=.3)\n",
    "ax[1].set_xlim(-1,2)\n",
    "ax[1].set_ylim(-1,2);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.121584,
     "end_time": "2020-11-16T18:41:29.042888",
     "exception": false,
     "start_time": "2020-11-16T18:41:28.921304",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### By time of year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "papermill": {
     "duration": 0.290789,
     "end_time": "2020-11-16T18:41:29.481485",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.190696",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f3b91e958e0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(5,5))\n",
    "m=ax.scatter(logt(data['TchlA (ug/L)']),logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms'])),\n",
    "          c=data['yd'],s=5,cmap=cmocean.cm.phase)\n",
    "ax.set_title('log10[ Total Chlorophyll (ug/L) + 0.001] By Year Day')\n",
    "ax.set_xlabel('HPLC')\n",
    "ax.set_ylabel('model')\n",
    "ax.plot((-6,5),(-6,5),'r-',alpha=.3)\n",
    "ax.set_xlim(-3,2)\n",
    "ax.set_ylim(-3,2);\n",
    "fig.colorbar(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Winter chlorophyll agrees with HPLC\n",
    "- Spring bloom chlorophyll can be too low or too high; this likely reflects poor spring bloom timing\n",
    "- Summer chlorophyll tends high\n",
    "- fall chlorophyll tends low"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### look specifically at points where HPLC level is high and model level is low"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f3b91ddfbe0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x=logt(data['TchlA (ug/L)'])\n",
    "y=logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms']))\n",
    "ii=data.loc[(y<-.5)&(x>0)].index\n",
    "\n",
    "fig,ax=plt.subplots(1,1,figsize=(5,5))\n",
    "m=ax.scatter(logt(data.loc[ii,['TchlA (ug/L)']].values),\n",
    "             logt(Chl_N*(data.loc[ii,['mod_flagellates']].values+data.loc[ii,['mod_ciliates']].values+\\\n",
    "                         data.loc[ii,['mod_diatoms']].values)),\n",
    "          c=data.loc[ii,['yd']].values,cmap=cmocean.cm.phase)\n",
    "ax.set_title('log10[ Total Chlorophyll (ug/L) + 0.001] By Year Day')\n",
    "ax.set_xlabel('HPLC')\n",
    "ax.set_ylabel('model')\n",
    "ax.plot((-6,5),(-6,5),'r-',alpha=.3)\n",
    "#ax.set_xlim(-3,2)\n",
    "#ax.set_ylim(-3,2);\n",
    "fig.colorbar(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp=data.loc[(y<-.5)&(data['Diatoms-1']>=0),['dtUTC','Sample_Number','i','j','k','p','FIL:START TIME YYYY/MM/DD HH:MM:SS','TchlA (ug/L)','Diatoms-1','mod_diatoms','mod_ciliates','mod_flagellates']].copy(deep=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dtUTC</th>\n",
       "      <th>Sample_Number</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>k</th>\n",
       "      <th>p</th>\n",
       "      <th>FIL:START TIME YYYY/MM/DD HH:MM:SS</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>Diatoms-1</th>\n",
       "      <th>mod_diatoms</th>\n",
       "      <th>mod_ciliates</th>\n",
       "      <th>mod_flagellates</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2058</th>\n",
       "      <td>2016-10-31 08:52:26</td>\n",
       "      <td>39.0</td>\n",
       "      <td>7</td>\n",
       "      <td>413</td>\n",
       "      <td>1</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>2016-10-31 08:52:26</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.014</td>\n",
       "      <td>2.308997e-05</td>\n",
       "      <td>3.474708e-05</td>\n",
       "      <td>5.449354e-05</td>\n",
       "      <td>-0.187087</td>\n",
       "      <td>-2.920025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2124</th>\n",
       "      <td>2016-11-01 09:40:15</td>\n",
       "      <td>105.0</td>\n",
       "      <td>292</td>\n",
       "      <td>344</td>\n",
       "      <td>1</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>2016-11-01 09:40:15</td>\n",
       "      <td>0.395</td>\n",
       "      <td>0.049</td>\n",
       "      <td>6.729010e-03</td>\n",
       "      <td>9.051096e-02</td>\n",
       "      <td>7.388679e-02</td>\n",
       "      <td>-0.402305</td>\n",
       "      <td>-0.510002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2221</th>\n",
       "      <td>2016-11-04 03:16:00</td>\n",
       "      <td>221.0</td>\n",
       "      <td>129</td>\n",
       "      <td>725</td>\n",
       "      <td>2</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>2016-11-04 03:16:00</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.011</td>\n",
       "      <td>1.026475e-02</td>\n",
       "      <td>5.436243e-02</td>\n",
       "      <td>5.191729e-02</td>\n",
       "      <td>-0.519993</td>\n",
       "      <td>-0.676170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2325</th>\n",
       "      <td>2017-02-19 07:07:56</td>\n",
       "      <td>615.0</td>\n",
       "      <td>7</td>\n",
       "      <td>413</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2017-02-19 07:07:56</td>\n",
       "      <td>1.774</td>\n",
       "      <td>0.153</td>\n",
       "      <td>3.733047e-08</td>\n",
       "      <td>1.180228e-06</td>\n",
       "      <td>3.594524e-06</td>\n",
       "      <td>0.249198</td>\n",
       "      <td>-2.996254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2539</th>\n",
       "      <td>2017-04-09 15:48:00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7</td>\n",
       "      <td>413</td>\n",
       "      <td>1</td>\n",
       "      <td>1.109361</td>\n",
       "      <td>2017-04-09 15:48:00</td>\n",
       "      <td>1.446</td>\n",
       "      <td>0.395</td>\n",
       "      <td>1.046590e-08</td>\n",
       "      <td>1.017922e-08</td>\n",
       "      <td>1.043058e-08</td>\n",
       "      <td>0.160469</td>\n",
       "      <td>-2.999976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2554</th>\n",
       "      <td>2017-04-09 18:34:00</td>\n",
       "      <td>39.0</td>\n",
       "      <td>31</td>\n",
       "      <td>394</td>\n",
       "      <td>0</td>\n",
       "      <td>1.008507</td>\n",
       "      <td>2017-04-09 18:34:00</td>\n",
       "      <td>1.902</td>\n",
       "      <td>0.397</td>\n",
       "      <td>1.677416e-02</td>\n",
       "      <td>2.761524e-02</td>\n",
       "      <td>5.814350e-02</td>\n",
       "      <td>0.279439</td>\n",
       "      <td>-0.731517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3647</th>\n",
       "      <td>2017-10-08 11:07:14</td>\n",
       "      <td>304.0</td>\n",
       "      <td>129</td>\n",
       "      <td>725</td>\n",
       "      <td>1</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>2017-10-08 11:07:14</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.344</td>\n",
       "      <td>3.482530e-02</td>\n",
       "      <td>4.179447e-02</td>\n",
       "      <td>4.104664e-02</td>\n",
       "      <td>-0.176526</td>\n",
       "      <td>-0.672029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5321</th>\n",
       "      <td>2018-11-22 18:37:56</td>\n",
       "      <td>37.0</td>\n",
       "      <td>8</td>\n",
       "      <td>413</td>\n",
       "      <td>2</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>2018-11-22 18:37:56</td>\n",
       "      <td>4.033</td>\n",
       "      <td>3.509</td>\n",
       "      <td>1.005235e-08</td>\n",
       "      <td>1.009910e-08</td>\n",
       "      <td>1.024531e-08</td>\n",
       "      <td>0.605736</td>\n",
       "      <td>-2.999976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5335</th>\n",
       "      <td>2018-11-22 22:19:58</td>\n",
       "      <td>51.0</td>\n",
       "      <td>31</td>\n",
       "      <td>394</td>\n",
       "      <td>1</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>2018-11-22 22:19:58</td>\n",
       "      <td>1.659</td>\n",
       "      <td>0.885</td>\n",
       "      <td>2.614201e-04</td>\n",
       "      <td>7.575854e-04</td>\n",
       "      <td>1.107582e-03</td>\n",
       "      <td>0.220108</td>\n",
       "      <td>-2.316246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5577</th>\n",
       "      <td>2018-11-25 18:53:49</td>\n",
       "      <td>297.0</td>\n",
       "      <td>142</td>\n",
       "      <td>699</td>\n",
       "      <td>2</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>2018-11-25 18:53:49</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.006</td>\n",
       "      <td>1.960240e-02</td>\n",
       "      <td>6.811737e-02</td>\n",
       "      <td>6.847256e-02</td>\n",
       "      <td>-0.521434</td>\n",
       "      <td>-0.549526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   dtUTC  Sample_Number    i    j  k         p  \\\n",
       "2058 2016-10-31 08:52:26           39.0    7  413  1  1.700000   \n",
       "2124 2016-11-01 09:40:15          105.0  292  344  1  1.500000   \n",
       "2221 2016-11-04 03:16:00          221.0  129  725  2  2.300000   \n",
       "2325 2017-02-19 07:07:56          615.0    7  413  0  1.000000   \n",
       "2539 2017-04-09 15:48:00           24.0    7  413  1  1.109361   \n",
       "2554 2017-04-09 18:34:00           39.0   31  394  0  1.008507   \n",
       "3647 2017-10-08 11:07:14          304.0  129  725  1  1.400000   \n",
       "5321 2018-11-22 18:37:56           37.0    8  413  2  2.600000   \n",
       "5335 2018-11-22 22:19:58           51.0   31  394  1  1.900000   \n",
       "5577 2018-11-25 18:53:49          297.0  142  699  2  2.700000   \n",
       "\n",
       "     FIL:START TIME YYYY/MM/DD HH:MM:SS  TchlA (ug/L)  Diatoms-1  \\\n",
       "2058                2016-10-31 08:52:26         0.649      0.014   \n",
       "2124                2016-11-01 09:40:15         0.395      0.049   \n",
       "2221                2016-11-04 03:16:00         0.301      0.011   \n",
       "2325                2017-02-19 07:07:56         1.774      0.153   \n",
       "2539                2017-04-09 15:48:00         1.446      0.395   \n",
       "2554                2017-04-09 18:34:00         1.902      0.397   \n",
       "3647                2017-10-08 11:07:14         0.665      0.344   \n",
       "5321                2018-11-22 18:37:56         4.033      3.509   \n",
       "5335                2018-11-22 22:19:58         1.659      0.885   \n",
       "5577                2018-11-25 18:53:49         0.300      0.006   \n",
       "\n",
       "       mod_diatoms  mod_ciliates  mod_flagellates         x         y  \n",
       "2058  2.308997e-05  3.474708e-05     5.449354e-05 -0.187087 -2.920025  \n",
       "2124  6.729010e-03  9.051096e-02     7.388679e-02 -0.402305 -0.510002  \n",
       "2221  1.026475e-02  5.436243e-02     5.191729e-02 -0.519993 -0.676170  \n",
       "2325  3.733047e-08  1.180228e-06     3.594524e-06  0.249198 -2.996254  \n",
       "2539  1.046590e-08  1.017922e-08     1.043058e-08  0.160469 -2.999976  \n",
       "2554  1.677416e-02  2.761524e-02     5.814350e-02  0.279439 -0.731517  \n",
       "3647  3.482530e-02  4.179447e-02     4.104664e-02 -0.176526 -0.672029  \n",
       "5321  1.005235e-08  1.009910e-08     1.024531e-08  0.605736 -2.999976  \n",
       "5335  2.614201e-04  7.575854e-04     1.107582e-03  0.220108 -2.316246  \n",
       "5577  1.960240e-02  6.811737e-02     6.847256e-02 -0.521434 -0.549526  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp['x']=logt(temp['TchlA (ug/L)'])\n",
    "temp['y']=logt(Chl_N*(temp['mod_flagellates']+temp['mod_ciliates']+temp['mod_diatoms']))\n",
    "temp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Where are these points in the model domain?\n",
    "- boundaries (expected) and mixing regions (unexpected)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ilen=len(temp)\n",
    "fig,ax=plt.subplots(1,ilen,figsize=(12,4))\n",
    "indlist=temp.index\n",
    "for i in range(0,ilen):\n",
    "    ax[i].pcolormesh(tmask[0,:,:])\n",
    "    ax[i].plot(temp.loc[indlist[i],['i']],temp.loc[indlist[i],['j']],'r*')\n",
    "fig.suptitle('very low model phytoplankton match locations');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.022873,
     "end_time": "2020-11-16T18:41:29.609020",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.586147",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Multiple Linear Regression: \n",
    "\n",
    "#### HPLC groups and model diatoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "papermill": {
     "duration": 0.089434,
     "end_time": "2020-11-16T18:41:29.721194",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.631760",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_diatoms']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],data.loc[ii]['Dinoflagellates'],\n",
    "             data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_diatoms']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "papermill": {
     "duration": 0.028128,
     "end_time": "2020-11-16T18:41:29.772674",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.744546",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.07901177,  0.04038303, -2.37059036,  0.82620416, -0.80017277,\n",
       "       -0.00327047, -0.28365716, -0.05637489,  0.08471479,  0.34857395])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "papermill": {
     "duration": 0.028953,
     "end_time": "2020-11-16T18:41:29.825114",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.796161",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.07901176679205403\n",
      "Diatoms-2 0.04038302960024198\n",
      "Cyanobacteria -2.3705903602264917\n",
      "Cryptophytes 0.8262041629489276\n",
      "Prasinophytes -0.8001727730681525\n",
      "Haptophytes -0.003270465217090235\n",
      "Dictyochophytes -0.2836571600122384\n",
      "Dinoflagellates -0.056374894317614846\n",
      "Raphidophytes 0.08471478644049679\n",
      "ones 0.34857395106817046\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### try again with a subset that showed some relationship (and diatoms-2):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 0.035033,
     "end_time": "2020-11-16T18:41:29.883728",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.848695",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_diatoms']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cryptophytes'],\n",
    "            data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_diatoms']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "papermill": {
     "duration": 0.02827,
     "end_time": "2020-11-16T18:41:29.935779",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.907509",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.08993110228472322\n",
      "Diatoms-2 0.014188091706788641\n",
      "Cryptophytes 0.3389072106820919\n",
      "Raphidophytes 0.04688692509711265\n",
      "ones 0.2897009806718322\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cryptophytes','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "papermill": {
     "duration": 0.033664,
     "end_time": "2020-11-16T18:41:29.993464",
     "exception": false,
     "start_time": "2020-11-16T18:41:29.959800",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_diatoms']))&(~pd.isnull(data['Diatoms-1']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Cryptophytes'],\n",
    "            data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_diatoms']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "papermill": {
     "duration": 0.028612,
     "end_time": "2020-11-16T18:41:30.045594",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.016982",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.09024331276536572\n",
      "Cryptophytes 0.3406248379075281\n",
      "Raphidophytes 0.04707605924340086\n",
      "ones 0.2924781243022796\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Cryptophytes','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.023524,
     "end_time": "2020-11-16T18:41:30.092778",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.069254",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### HPLC groups and model flagellates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "papermill": {
     "duration": 0.040507,
     "end_time": "2020-11-16T18:41:30.156729",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.116222",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_flagellates']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],data.loc[ii]['Dinoflagellates'],\n",
    "             data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_flagellates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "papermill": {
     "duration": 0.02855,
     "end_time": "2020-11-16T18:41:30.209252",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.180702",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.00191036, -0.16480308,  1.82122949,  0.17455955,  0.11920028,\n",
       "        0.35375115,  0.27956835,  0.23419722, -0.04018753,  0.35021653])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "papermill": {
     "duration": 0.029479,
     "end_time": "2020-11-16T18:41:30.262752",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.233273",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 -0.0019103589958024306\n",
      "Diatoms-2 -0.16480307826918028\n",
      "Cyanobacteria 1.821229487184655\n",
      "Cryptophytes 0.17455954744634916\n",
      "Prasinophytes 0.11920028329070938\n",
      "Haptophytes 0.35375115362128273\n",
      "Dictyochophytes 0.27956835348460174\n",
      "Dinoflagellates 0.2341972205331308\n",
      "Raphidophytes -0.04018752832367504\n",
      "ones 0.3502165306381572\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "papermill": {
     "duration": 0.039245,
     "end_time": "2020-11-16T18:41:30.326366",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.287121",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_flagellates']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],\n",
    "             data.loc[ii]['Dinoflagellates'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_flagellates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "papermill": {
     "duration": 0.028921,
     "end_time": "2020-11-16T18:41:30.379842",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.350921",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 -0.010844167278902635\n",
      "Cyanobacteria 0.78933658843036\n",
      "Cryptophytes 0.14766098991975396\n",
      "Prasinophytes 0.21859616028611023\n",
      "Haptophytes 0.38112414890833923\n",
      "Dictyochophytes 0.14293751829866547\n",
      "Dinoflagellates 0.19024925143696172\n",
      "ones 0.33693420147988185\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### look at Cryptophytes, Prasinophytes, and Haptophytes (+cyanobacteria), the groups that showed a relationship to flagellates in 201812"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "papermill": {
     "duration": 0.037774,
     "end_time": "2020-11-16T18:41:30.442063",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.404289",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_flagellates']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],\n",
    "             np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_flagellates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "papermill": {
     "duration": 0.029379,
     "end_time": "2020-11-16T18:41:30.496014",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.466635",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cyanobacteria 0.858602872673889\n",
      "Cryptophytes 0.17220455649899657\n",
      "Prasinophytes 0.21819670508290173\n",
      "Haptophytes 0.37773976424820205\n",
      "Dictyochophytes 0.1736729736655534\n",
      "ones 0.3188227556509651\n"
     ]
    }
   ],
   "source": [
    "clist=('Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.024412,
     "end_time": "2020-11-16T18:41:30.545271",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.520859",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### M. rubrum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "papermill": {
     "duration": 0.041574,
     "end_time": "2020-11-16T18:41:30.611166",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.569592",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_ciliates']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],data.loc[ii]['Dinoflagellates'],\n",
    "             data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_ciliates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "papermill": {
     "duration": 0.030776,
     "end_time": "2020-11-16T18:41:30.666632",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.635856",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.00271483118441355\n",
      "Diatoms-2 -0.002480924214265573\n",
      "Cyanobacteria 0.17168436679777188\n",
      "Cryptophytes 0.014840160738755881\n",
      "Prasinophytes -0.05407508103203415\n",
      "Haptophytes 0.012012902440612174\n",
      "Dictyochophytes -0.02010500713099727\n",
      "Dinoflagellates 0.007809010638318125\n",
      "Raphidophytes -0.002067711074437012\n",
      "ones 0.18167953620171418\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Diatoms:\n",
    "- Cryptophytes \n",
    "- Diatoms-1 \n",
    "- Raphidophytes \n",
    "\n",
    "Flagellates:\n",
    "- Cyanobacteria \n",
    "- Cryptophytes \n",
    "- Prasinophytes\n",
    "- Haptophytes\n",
    "- maybe dinoflagellates\n",
    "- cyanobacteria make up small fraction of abundance; Nina says leave out\n",
    "\n",
    "M. rubrum:\n",
    "- Cyanobacteria\n",
    "\n",
    "None:\n",
    "- Diatoms-2\n",
    "- Dictyochophytes\n",
    "- Dinoflagellates?\n",
    "\n",
    "##### Nina says Do not include cyanos in flagellate-like group: they are not flagellates and their abundance is low"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Individual phytoplankton groups compared to  model groups (1:1 correspondence not expected)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "papermill": {
     "duration": 0.813394,
     "end_time": "2020-11-16T18:41:31.553705",
     "exception": false,
     "start_time": "2020-11-16T18:41:30.740311",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f3b93ad98e0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(2,5,figsize=(15,7))\n",
    "fig.subplots_adjust(wspace=.4)\n",
    "ax=ax.flatten()\n",
    "\n",
    "chplc=('Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "       'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes','TchlA (ug/L)')\n",
    "\n",
    "mvar1=Chl_N*data['mod_diatoms']\n",
    "mvar2=Chl_N*data['mod_flagellates']\n",
    "\n",
    "for ii in range(0,len(chplc)):\n",
    "    ax[ii].plot(logt(data.loc[:,[chplc[ii]]].values),logt(mvar1),'.',ms=1,color='blue',label='Diatoms')\n",
    "    ax[ii].plot(logt(data.loc[:,[chplc[ii]]].values),logt(mvar2),'.',ms=1,color='red',label='Flagellates')\n",
    "    ax[ii].set_ylabel('Model Class')\n",
    "    ax[ii].set_xlabel(chplc[ii])\n",
    "    ax[ii].set_title('log10[Chl(mg/m3)+.001]')\n",
    "    ax[ii].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "    ax[ii].set_xlim((-3,1.5))\n",
    "    ax[ii].set_ylim((-3,1.5))\n",
    "    ax[ii].set_aspect(1)\n",
    "ax[0].legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Separate into grouping for which there is some model-data agreement and plot model v obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "papermill": {
     "duration": 0.26652,
     "end_time": "2020-11-16T18:41:31.848422",
     "exception": false,
     "start_time": "2020-11-16T18:41:31.581902",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-3.0, 1.5)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,3,figsize=(12,3))\n",
    "fig.subplots_adjust(wspace=.5)\n",
    "#ax[0].plot(logt(data['Diatoms-1']+data['Raphidophytes']+.5*data['Cryptophytes']),logt(data['mod_diatoms']),'r.')\n",
    "ax[0].plot(logt(data['Diatoms-1']+data['Raphidophytes']),logt(data['mod_diatoms']),'k.',ms=2)\n",
    "ax[0].set_ylabel('Model diatoms')\n",
    "ax[0].set_xlabel('Diatoms1+Raphido')\n",
    "ax[0].set_title('log10[Chl(mg/m3)+.001]')\n",
    "ax[0].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "ax[0].set_xlim((-3,1.5))\n",
    "ax[0].set_ylim((-3,1.5))\n",
    "\n",
    "ax[1].plot(logt(data['Cryptophytes']+data['Prasinophytes']+data['Haptophytes']),logt(data['mod_flagellates']),'k.',ms=2)\n",
    "ax[1].set_ylabel('Model flagellates')\n",
    "ax[1].set_xlabel('Crypto+Prasino+Hapto')\n",
    "ax[1].set_title('log10[Chl(mg/m3)+.001]')\n",
    "ax[1].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "ax[1].set_xlim((-3,1.5))\n",
    "ax[1].set_ylim((-3,1.5))\n",
    "\n",
    "\n",
    "ax[2].plot(logt(data['Cyanobacteria']),logt(data['mod_ciliates']),'k.',ms=2)\n",
    "ax[2].set_ylabel('Model M. rubrum')\n",
    "ax[2].set_xlabel('Cyano')\n",
    "ax[2].set_title('log10[Chl(mg/m3)+.001]')\n",
    "ax[2].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "ax[2].set_xlim((-3,1.5))\n",
    "ax[2].set_ylim((-3,1.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "papermill": {
     "duration": 0.040984,
     "end_time": "2020-11-16T18:41:31.918310",
     "exception": false,
     "start_time": "2020-11-16T18:41:31.877326",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data['mod_diatoms_chl']=Chl_N*data['mod_diatoms']\n",
    "data['mod_flagellates_chl']=Chl_N*data['mod_flagellates']\n",
    "data['mod_ciliates_chl']=Chl_N*data['mod_ciliates']\n",
    "data['mod_TChl']=data['mod_diatoms_chl']+data['mod_flagellates_chl']+data['mod_ciliates_chl']\n",
    "data['CPH']=data['Cryptophytes']+data['Prasinophytes']+data['Haptophytes']\n",
    "data['DD']=data['Diatoms-1']+data['Diatoms-2']\n",
    "dfVars=data.loc[:,['Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "       'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes','DD','CPH','TchlA (ug/L)',\n",
    "                   'mod_diatoms_chl','mod_flagellates_chl','mod_ciliates_chl','mod_TChl']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.028561,
     "end_time": "2020-11-16T18:41:31.976144",
     "exception": false,
     "start_time": "2020-11-16T18:41:31.947583",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Variance-Covariance Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "papermill": {
     "duration": 0.049078,
     "end_time": "2020-11-16T18:41:32.054432",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.005354",
     "status": "completed"
    },
    "tags": []
   },
   "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>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>DD</th>\n",
       "      <th>CPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>17.030227</td>\n",
       "      <td>0.383433</td>\n",
       "      <td>-0.014114</td>\n",
       "      <td>-0.180451</td>\n",
       "      <td>-0.176579</td>\n",
       "      <td>-0.147258</td>\n",
       "      <td>-0.029133</td>\n",
       "      <td>0.111324</td>\n",
       "      <td>2.290018</td>\n",
       "      <td>17.413661</td>\n",
       "      <td>-0.504288</td>\n",
       "      <td>19.195920</td>\n",
       "      <td>2.849766</td>\n",
       "      <td>-0.540311</td>\n",
       "      <td>0.080426</td>\n",
       "      <td>2.389881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.383433</td>\n",
       "      <td>0.517381</td>\n",
       "      <td>0.004810</td>\n",
       "      <td>0.019841</td>\n",
       "      <td>0.008286</td>\n",
       "      <td>0.013027</td>\n",
       "      <td>0.027284</td>\n",
       "      <td>0.008542</td>\n",
       "      <td>0.191999</td>\n",
       "      <td>0.900814</td>\n",
       "      <td>0.041154</td>\n",
       "      <td>1.167819</td>\n",
       "      <td>0.103589</td>\n",
       "      <td>-0.119279</td>\n",
       "      <td>-0.000527</td>\n",
       "      <td>-0.016217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.014114</td>\n",
       "      <td>0.004810</td>\n",
       "      <td>0.005901</td>\n",
       "      <td>0.014656</td>\n",
       "      <td>0.014236</td>\n",
       "      <td>0.008116</td>\n",
       "      <td>0.001919</td>\n",
       "      <td>0.003371</td>\n",
       "      <td>0.107947</td>\n",
       "      <td>-0.009303</td>\n",
       "      <td>0.037008</td>\n",
       "      <td>0.144586</td>\n",
       "      <td>-0.010456</td>\n",
       "      <td>0.025373</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.015408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.180451</td>\n",
       "      <td>0.019841</td>\n",
       "      <td>0.014656</td>\n",
       "      <td>0.175789</td>\n",
       "      <td>0.072638</td>\n",
       "      <td>0.055288</td>\n",
       "      <td>0.004603</td>\n",
       "      <td>0.017336</td>\n",
       "      <td>0.189807</td>\n",
       "      <td>-0.160610</td>\n",
       "      <td>0.303715</td>\n",
       "      <td>0.355411</td>\n",
       "      <td>0.094552</td>\n",
       "      <td>0.144700</td>\n",
       "      <td>0.001750</td>\n",
       "      <td>0.241003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>-0.176579</td>\n",
       "      <td>0.008286</td>\n",
       "      <td>0.014236</td>\n",
       "      <td>0.072638</td>\n",
       "      <td>0.075690</td>\n",
       "      <td>0.030017</td>\n",
       "      <td>0.005900</td>\n",
       "      <td>0.004749</td>\n",
       "      <td>0.158524</td>\n",
       "      <td>-0.168293</td>\n",
       "      <td>0.178345</td>\n",
       "      <td>0.184770</td>\n",
       "      <td>-0.065746</td>\n",
       "      <td>0.096499</td>\n",
       "      <td>-0.002015</td>\n",
       "      <td>0.028737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.147258</td>\n",
       "      <td>0.013027</td>\n",
       "      <td>0.008116</td>\n",
       "      <td>0.055288</td>\n",
       "      <td>0.030017</td>\n",
       "      <td>0.158861</td>\n",
       "      <td>0.002099</td>\n",
       "      <td>-0.000856</td>\n",
       "      <td>-0.017002</td>\n",
       "      <td>-0.134231</td>\n",
       "      <td>0.244167</td>\n",
       "      <td>0.094285</td>\n",
       "      <td>-0.020153</td>\n",
       "      <td>0.150141</td>\n",
       "      <td>0.003696</td>\n",
       "      <td>0.133684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>-0.029133</td>\n",
       "      <td>0.027284</td>\n",
       "      <td>0.001919</td>\n",
       "      <td>0.004603</td>\n",
       "      <td>0.005900</td>\n",
       "      <td>0.002099</td>\n",
       "      <td>0.034487</td>\n",
       "      <td>0.005154</td>\n",
       "      <td>0.040856</td>\n",
       "      <td>-0.001849</td>\n",
       "      <td>0.012603</td>\n",
       "      <td>0.091620</td>\n",
       "      <td>-0.023915</td>\n",
       "      <td>0.018919</td>\n",
       "      <td>-0.001405</td>\n",
       "      <td>-0.006401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.111324</td>\n",
       "      <td>0.008542</td>\n",
       "      <td>0.003371</td>\n",
       "      <td>0.017336</td>\n",
       "      <td>0.004749</td>\n",
       "      <td>-0.000856</td>\n",
       "      <td>0.005154</td>\n",
       "      <td>0.155056</td>\n",
       "      <td>0.263792</td>\n",
       "      <td>0.119866</td>\n",
       "      <td>0.021229</td>\n",
       "      <td>0.566188</td>\n",
       "      <td>0.042876</td>\n",
       "      <td>0.062930</td>\n",
       "      <td>0.002541</td>\n",
       "      <td>0.108347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>2.290018</td>\n",
       "      <td>0.191999</td>\n",
       "      <td>0.107947</td>\n",
       "      <td>0.189807</td>\n",
       "      <td>0.158524</td>\n",
       "      <td>-0.017002</td>\n",
       "      <td>0.040856</td>\n",
       "      <td>0.263792</td>\n",
       "      <td>8.899071</td>\n",
       "      <td>2.482017</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>12.107873</td>\n",
       "      <td>1.242441</td>\n",
       "      <td>-0.140106</td>\n",
       "      <td>0.002073</td>\n",
       "      <td>1.104408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DD</th>\n",
       "      <td>17.413661</td>\n",
       "      <td>0.900814</td>\n",
       "      <td>-0.009303</td>\n",
       "      <td>-0.160610</td>\n",
       "      <td>-0.168293</td>\n",
       "      <td>-0.134231</td>\n",
       "      <td>-0.001849</td>\n",
       "      <td>0.119866</td>\n",
       "      <td>2.482017</td>\n",
       "      <td>18.314475</td>\n",
       "      <td>-0.463135</td>\n",
       "      <td>20.363739</td>\n",
       "      <td>2.953355</td>\n",
       "      <td>-0.659590</td>\n",
       "      <td>0.079900</td>\n",
       "      <td>2.373664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPH</th>\n",
       "      <td>-0.504288</td>\n",
       "      <td>0.041154</td>\n",
       "      <td>0.037008</td>\n",
       "      <td>0.303715</td>\n",
       "      <td>0.178345</td>\n",
       "      <td>0.244167</td>\n",
       "      <td>0.012603</td>\n",
       "      <td>0.021229</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>-0.463135</td>\n",
       "      <td>0.726227</td>\n",
       "      <td>0.634466</td>\n",
       "      <td>0.008653</td>\n",
       "      <td>0.391340</td>\n",
       "      <td>0.003431</td>\n",
       "      <td>0.403424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>19.195920</td>\n",
       "      <td>1.167819</td>\n",
       "      <td>0.144586</td>\n",
       "      <td>0.355411</td>\n",
       "      <td>0.184770</td>\n",
       "      <td>0.094285</td>\n",
       "      <td>0.091620</td>\n",
       "      <td>0.566188</td>\n",
       "      <td>12.107873</td>\n",
       "      <td>20.363739</td>\n",
       "      <td>0.634466</td>\n",
       "      <td>33.885888</td>\n",
       "      <td>4.185330</td>\n",
       "      <td>-0.325619</td>\n",
       "      <td>0.083726</td>\n",
       "      <td>3.943436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>2.849766</td>\n",
       "      <td>0.103589</td>\n",
       "      <td>-0.010456</td>\n",
       "      <td>0.094552</td>\n",
       "      <td>-0.065746</td>\n",
       "      <td>-0.020153</td>\n",
       "      <td>-0.023915</td>\n",
       "      <td>0.042876</td>\n",
       "      <td>1.242441</td>\n",
       "      <td>2.953355</td>\n",
       "      <td>0.008653</td>\n",
       "      <td>4.185330</td>\n",
       "      <td>1.205209</td>\n",
       "      <td>0.160073</td>\n",
       "      <td>0.076402</td>\n",
       "      <td>1.441683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.540311</td>\n",
       "      <td>-0.119279</td>\n",
       "      <td>0.025373</td>\n",
       "      <td>0.144700</td>\n",
       "      <td>0.096499</td>\n",
       "      <td>0.150141</td>\n",
       "      <td>0.018919</td>\n",
       "      <td>0.062930</td>\n",
       "      <td>-0.140106</td>\n",
       "      <td>-0.659590</td>\n",
       "      <td>0.391340</td>\n",
       "      <td>-0.325619</td>\n",
       "      <td>0.160073</td>\n",
       "      <td>0.599467</td>\n",
       "      <td>0.064289</td>\n",
       "      <td>0.823829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.080426</td>\n",
       "      <td>-0.000527</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.001750</td>\n",
       "      <td>-0.002015</td>\n",
       "      <td>0.003696</td>\n",
       "      <td>-0.001405</td>\n",
       "      <td>0.002541</td>\n",
       "      <td>0.002073</td>\n",
       "      <td>0.079900</td>\n",
       "      <td>0.003431</td>\n",
       "      <td>0.083726</td>\n",
       "      <td>0.076402</td>\n",
       "      <td>0.064289</td>\n",
       "      <td>0.022616</td>\n",
       "      <td>0.163307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>2.389881</td>\n",
       "      <td>-0.016217</td>\n",
       "      <td>0.015408</td>\n",
       "      <td>0.241003</td>\n",
       "      <td>0.028737</td>\n",
       "      <td>0.133684</td>\n",
       "      <td>-0.006401</td>\n",
       "      <td>0.108347</td>\n",
       "      <td>1.104408</td>\n",
       "      <td>2.373664</td>\n",
       "      <td>0.403424</td>\n",
       "      <td>3.943436</td>\n",
       "      <td>1.441683</td>\n",
       "      <td>0.823829</td>\n",
       "      <td>0.163307</td>\n",
       "      <td>2.428820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1            17.030227   0.383433      -0.014114     -0.180451   \n",
       "Diatoms-2             0.383433   0.517381       0.004810      0.019841   \n",
       "Cyanobacteria        -0.014114   0.004810       0.005901      0.014656   \n",
       "Cryptophytes         -0.180451   0.019841       0.014656      0.175789   \n",
       "Prasinophytes        -0.176579   0.008286       0.014236      0.072638   \n",
       "Haptophytes          -0.147258   0.013027       0.008116      0.055288   \n",
       "Dictyochophytes      -0.029133   0.027284       0.001919      0.004603   \n",
       "Dinoflagellates       0.111324   0.008542       0.003371      0.017336   \n",
       "Raphidophytes         2.290018   0.191999       0.107947      0.189807   \n",
       "DD                   17.413661   0.900814      -0.009303     -0.160610   \n",
       "CPH                  -0.504288   0.041154       0.037008      0.303715   \n",
       "TchlA (ug/L)         19.195920   1.167819       0.144586      0.355411   \n",
       "mod_diatoms_chl       2.849766   0.103589      -0.010456      0.094552   \n",
       "mod_flagellates_chl  -0.540311  -0.119279       0.025373      0.144700   \n",
       "mod_ciliates_chl      0.080426  -0.000527       0.000491      0.001750   \n",
       "mod_TChl              2.389881  -0.016217       0.015408      0.241003   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                -0.176579    -0.147258        -0.029133   \n",
       "Diatoms-2                 0.008286     0.013027         0.027284   \n",
       "Cyanobacteria             0.014236     0.008116         0.001919   \n",
       "Cryptophytes              0.072638     0.055288         0.004603   \n",
       "Prasinophytes             0.075690     0.030017         0.005900   \n",
       "Haptophytes               0.030017     0.158861         0.002099   \n",
       "Dictyochophytes           0.005900     0.002099         0.034487   \n",
       "Dinoflagellates           0.004749    -0.000856         0.005154   \n",
       "Raphidophytes             0.158524    -0.017002         0.040856   \n",
       "DD                       -0.168293    -0.134231        -0.001849   \n",
       "CPH                       0.178345     0.244167         0.012603   \n",
       "TchlA (ug/L)              0.184770     0.094285         0.091620   \n",
       "mod_diatoms_chl          -0.065746    -0.020153        -0.023915   \n",
       "mod_flagellates_chl       0.096499     0.150141         0.018919   \n",
       "mod_ciliates_chl         -0.002015     0.003696        -0.001405   \n",
       "mod_TChl                  0.028737     0.133684        -0.006401   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes         DD       CPH  \\\n",
       "Diatoms-1                   0.111324       2.290018  17.413661 -0.504288   \n",
       "Diatoms-2                   0.008542       0.191999   0.900814  0.041154   \n",
       "Cyanobacteria               0.003371       0.107947  -0.009303  0.037008   \n",
       "Cryptophytes                0.017336       0.189807  -0.160610  0.303715   \n",
       "Prasinophytes               0.004749       0.158524  -0.168293  0.178345   \n",
       "Haptophytes                -0.000856      -0.017002  -0.134231  0.244167   \n",
       "Dictyochophytes             0.005154       0.040856  -0.001849  0.012603   \n",
       "Dinoflagellates             0.155056       0.263792   0.119866  0.021229   \n",
       "Raphidophytes               0.263792       8.899071   2.482017  0.331329   \n",
       "DD                          0.119866       2.482017  18.314475 -0.463135   \n",
       "CPH                         0.021229       0.331329  -0.463135  0.726227   \n",
       "TchlA (ug/L)                0.566188      12.107873  20.363739  0.634466   \n",
       "mod_diatoms_chl             0.042876       1.242441   2.953355  0.008653   \n",
       "mod_flagellates_chl         0.062930      -0.140106  -0.659590  0.391340   \n",
       "mod_ciliates_chl            0.002541       0.002073   0.079900  0.003431   \n",
       "mod_TChl                    0.108347       1.104408   2.373664  0.403424   \n",
       "\n",
       "                     TchlA (ug/L)  mod_diatoms_chl  mod_flagellates_chl  \\\n",
       "Diatoms-1               19.195920         2.849766            -0.540311   \n",
       "Diatoms-2                1.167819         0.103589            -0.119279   \n",
       "Cyanobacteria            0.144586        -0.010456             0.025373   \n",
       "Cryptophytes             0.355411         0.094552             0.144700   \n",
       "Prasinophytes            0.184770        -0.065746             0.096499   \n",
       "Haptophytes              0.094285        -0.020153             0.150141   \n",
       "Dictyochophytes          0.091620        -0.023915             0.018919   \n",
       "Dinoflagellates          0.566188         0.042876             0.062930   \n",
       "Raphidophytes           12.107873         1.242441            -0.140106   \n",
       "DD                      20.363739         2.953355            -0.659590   \n",
       "CPH                      0.634466         0.008653             0.391340   \n",
       "TchlA (ug/L)            33.885888         4.185330            -0.325619   \n",
       "mod_diatoms_chl          4.185330         1.205209             0.160073   \n",
       "mod_flagellates_chl     -0.325619         0.160073             0.599467   \n",
       "mod_ciliates_chl         0.083726         0.076402             0.064289   \n",
       "mod_TChl                 3.943436         1.441683             0.823829   \n",
       "\n",
       "                     mod_ciliates_chl  mod_TChl  \n",
       "Diatoms-1                    0.080426  2.389881  \n",
       "Diatoms-2                   -0.000527 -0.016217  \n",
       "Cyanobacteria                0.000491  0.015408  \n",
       "Cryptophytes                 0.001750  0.241003  \n",
       "Prasinophytes               -0.002015  0.028737  \n",
       "Haptophytes                  0.003696  0.133684  \n",
       "Dictyochophytes             -0.001405 -0.006401  \n",
       "Dinoflagellates              0.002541  0.108347  \n",
       "Raphidophytes                0.002073  1.104408  \n",
       "DD                           0.079900  2.373664  \n",
       "CPH                          0.003431  0.403424  \n",
       "TchlA (ug/L)                 0.083726  3.943436  \n",
       "mod_diatoms_chl              0.076402  1.441683  \n",
       "mod_flagellates_chl          0.064289  0.823829  \n",
       "mod_ciliates_chl             0.022616  0.163307  \n",
       "mod_TChl                     0.163307  2.428820  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVars.cov()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### largest covariances:\n",
    "Model diatoms and:\n",
    "- TChlA: 4.185330\n",
    "- Diatoms-1+Diatoms-2: 2.953355\n",
    "- Diatoms-1: 2.849766\n",
    "- Raphidophytes: 1.242441\n",
    "\n",
    "Model flagellates and:\n",
    "- crypto+hapto+prasino: 0.391340\n",
    "- haptophytes: 0.150141\n",
    "- cryptophytes: 0.144700"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.028767,
     "end_time": "2020-11-16T18:41:32.112120",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.083353",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Correlation Coefficient Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "papermill": {
     "duration": 0.046279,
     "end_time": "2020-11-16T18:41:32.187547",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.141268",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>DD</th>\n",
       "      <th>CPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.129174</td>\n",
       "      <td>-0.044520</td>\n",
       "      <td>-0.104293</td>\n",
       "      <td>-0.155529</td>\n",
       "      <td>-0.089528</td>\n",
       "      <td>-0.038014</td>\n",
       "      <td>0.068507</td>\n",
       "      <td>0.186019</td>\n",
       "      <td>0.986013</td>\n",
       "      <td>-0.143394</td>\n",
       "      <td>0.799078</td>\n",
       "      <td>0.329545</td>\n",
       "      <td>-0.107524</td>\n",
       "      <td>0.086555</td>\n",
       "      <td>0.240522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.129174</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.087055</td>\n",
       "      <td>0.065789</td>\n",
       "      <td>0.041872</td>\n",
       "      <td>0.045439</td>\n",
       "      <td>0.204256</td>\n",
       "      <td>0.030159</td>\n",
       "      <td>0.089479</td>\n",
       "      <td>0.292639</td>\n",
       "      <td>0.067138</td>\n",
       "      <td>0.278908</td>\n",
       "      <td>0.068727</td>\n",
       "      <td>-0.136186</td>\n",
       "      <td>-0.003254</td>\n",
       "      <td>-0.009364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.044520</td>\n",
       "      <td>0.087055</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.455047</td>\n",
       "      <td>0.673585</td>\n",
       "      <td>0.265069</td>\n",
       "      <td>0.134517</td>\n",
       "      <td>0.111427</td>\n",
       "      <td>0.471045</td>\n",
       "      <td>-0.028299</td>\n",
       "      <td>0.565312</td>\n",
       "      <td>0.323326</td>\n",
       "      <td>-0.064953</td>\n",
       "      <td>0.271249</td>\n",
       "      <td>0.028373</td>\n",
       "      <td>0.083302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.104293</td>\n",
       "      <td>0.065789</td>\n",
       "      <td>0.455047</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.629727</td>\n",
       "      <td>0.330846</td>\n",
       "      <td>0.059123</td>\n",
       "      <td>0.105006</td>\n",
       "      <td>0.151756</td>\n",
       "      <td>-0.089512</td>\n",
       "      <td>0.850031</td>\n",
       "      <td>0.145622</td>\n",
       "      <td>0.107619</td>\n",
       "      <td>0.283430</td>\n",
       "      <td>0.018542</td>\n",
       "      <td>0.238735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>-0.155529</td>\n",
       "      <td>0.041872</td>\n",
       "      <td>0.673585</td>\n",
       "      <td>0.629727</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.273744</td>\n",
       "      <td>0.115485</td>\n",
       "      <td>0.043839</td>\n",
       "      <td>0.193154</td>\n",
       "      <td>-0.142939</td>\n",
       "      <td>0.760689</td>\n",
       "      <td>0.115373</td>\n",
       "      <td>-0.114043</td>\n",
       "      <td>0.288055</td>\n",
       "      <td>-0.032531</td>\n",
       "      <td>0.043383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.089528</td>\n",
       "      <td>0.045439</td>\n",
       "      <td>0.265069</td>\n",
       "      <td>0.330846</td>\n",
       "      <td>0.273744</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.028364</td>\n",
       "      <td>-0.005455</td>\n",
       "      <td>-0.014300</td>\n",
       "      <td>-0.078695</td>\n",
       "      <td>0.718854</td>\n",
       "      <td>0.040637</td>\n",
       "      <td>-0.024129</td>\n",
       "      <td>0.309359</td>\n",
       "      <td>0.041182</td>\n",
       "      <td>0.139303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>-0.038014</td>\n",
       "      <td>0.204256</td>\n",
       "      <td>0.134517</td>\n",
       "      <td>0.059123</td>\n",
       "      <td>0.115485</td>\n",
       "      <td>0.028364</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.070478</td>\n",
       "      <td>0.073749</td>\n",
       "      <td>-0.002326</td>\n",
       "      <td>0.079637</td>\n",
       "      <td>0.084752</td>\n",
       "      <td>-0.061454</td>\n",
       "      <td>0.083663</td>\n",
       "      <td>-0.033596</td>\n",
       "      <td>-0.014315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.068507</td>\n",
       "      <td>0.030159</td>\n",
       "      <td>0.111427</td>\n",
       "      <td>0.105006</td>\n",
       "      <td>0.043839</td>\n",
       "      <td>-0.005455</td>\n",
       "      <td>0.070478</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.224567</td>\n",
       "      <td>0.071130</td>\n",
       "      <td>0.063264</td>\n",
       "      <td>0.247006</td>\n",
       "      <td>0.051962</td>\n",
       "      <td>0.131246</td>\n",
       "      <td>0.028659</td>\n",
       "      <td>0.114278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>0.186019</td>\n",
       "      <td>0.089479</td>\n",
       "      <td>0.471045</td>\n",
       "      <td>0.151756</td>\n",
       "      <td>0.193154</td>\n",
       "      <td>-0.014300</td>\n",
       "      <td>0.073749</td>\n",
       "      <td>0.224567</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.194417</td>\n",
       "      <td>0.130332</td>\n",
       "      <td>0.697246</td>\n",
       "      <td>0.198755</td>\n",
       "      <td>-0.038571</td>\n",
       "      <td>0.003086</td>\n",
       "      <td>0.153761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DD</th>\n",
       "      <td>0.986013</td>\n",
       "      <td>0.292639</td>\n",
       "      <td>-0.028299</td>\n",
       "      <td>-0.089512</td>\n",
       "      <td>-0.142939</td>\n",
       "      <td>-0.078695</td>\n",
       "      <td>-0.002326</td>\n",
       "      <td>0.071130</td>\n",
       "      <td>0.194417</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.126991</td>\n",
       "      <td>0.817431</td>\n",
       "      <td>0.329332</td>\n",
       "      <td>-0.126575</td>\n",
       "      <td>0.082919</td>\n",
       "      <td>0.230362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPH</th>\n",
       "      <td>-0.143394</td>\n",
       "      <td>0.067138</td>\n",
       "      <td>0.565312</td>\n",
       "      <td>0.850031</td>\n",
       "      <td>0.760689</td>\n",
       "      <td>0.718854</td>\n",
       "      <td>0.079637</td>\n",
       "      <td>0.063264</td>\n",
       "      <td>0.130332</td>\n",
       "      <td>-0.126991</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.127898</td>\n",
       "      <td>0.004846</td>\n",
       "      <td>0.377130</td>\n",
       "      <td>0.017882</td>\n",
       "      <td>0.196614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>0.799078</td>\n",
       "      <td>0.278908</td>\n",
       "      <td>0.323326</td>\n",
       "      <td>0.145622</td>\n",
       "      <td>0.115373</td>\n",
       "      <td>0.040637</td>\n",
       "      <td>0.084752</td>\n",
       "      <td>0.247006</td>\n",
       "      <td>0.697246</td>\n",
       "      <td>0.817431</td>\n",
       "      <td>0.127898</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.343112</td>\n",
       "      <td>-0.045938</td>\n",
       "      <td>0.063879</td>\n",
       "      <td>0.281355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>0.329545</td>\n",
       "      <td>0.068727</td>\n",
       "      <td>-0.064953</td>\n",
       "      <td>0.107619</td>\n",
       "      <td>-0.114043</td>\n",
       "      <td>-0.024129</td>\n",
       "      <td>-0.061454</td>\n",
       "      <td>0.051962</td>\n",
       "      <td>0.198755</td>\n",
       "      <td>0.329332</td>\n",
       "      <td>0.004846</td>\n",
       "      <td>0.343112</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.188324</td>\n",
       "      <td>0.462767</td>\n",
       "      <td>0.842638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.107524</td>\n",
       "      <td>-0.136186</td>\n",
       "      <td>0.271249</td>\n",
       "      <td>0.283430</td>\n",
       "      <td>0.288055</td>\n",
       "      <td>0.309359</td>\n",
       "      <td>0.083663</td>\n",
       "      <td>0.131246</td>\n",
       "      <td>-0.038571</td>\n",
       "      <td>-0.126575</td>\n",
       "      <td>0.377130</td>\n",
       "      <td>-0.045938</td>\n",
       "      <td>0.188324</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.552138</td>\n",
       "      <td>0.682743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.086555</td>\n",
       "      <td>-0.003254</td>\n",
       "      <td>0.028373</td>\n",
       "      <td>0.018542</td>\n",
       "      <td>-0.032531</td>\n",
       "      <td>0.041182</td>\n",
       "      <td>-0.033596</td>\n",
       "      <td>0.028659</td>\n",
       "      <td>0.003086</td>\n",
       "      <td>0.082919</td>\n",
       "      <td>0.017882</td>\n",
       "      <td>0.063879</td>\n",
       "      <td>0.462767</td>\n",
       "      <td>0.552138</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.696784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>0.240522</td>\n",
       "      <td>-0.009364</td>\n",
       "      <td>0.083302</td>\n",
       "      <td>0.238735</td>\n",
       "      <td>0.043383</td>\n",
       "      <td>0.139303</td>\n",
       "      <td>-0.014315</td>\n",
       "      <td>0.114278</td>\n",
       "      <td>0.153761</td>\n",
       "      <td>0.230362</td>\n",
       "      <td>0.196614</td>\n",
       "      <td>0.281355</td>\n",
       "      <td>0.842638</td>\n",
       "      <td>0.682743</td>\n",
       "      <td>0.696784</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1             1.000000   0.129174      -0.044520     -0.104293   \n",
       "Diatoms-2             0.129174   1.000000       0.087055      0.065789   \n",
       "Cyanobacteria        -0.044520   0.087055       1.000000      0.455047   \n",
       "Cryptophytes         -0.104293   0.065789       0.455047      1.000000   \n",
       "Prasinophytes        -0.155529   0.041872       0.673585      0.629727   \n",
       "Haptophytes          -0.089528   0.045439       0.265069      0.330846   \n",
       "Dictyochophytes      -0.038014   0.204256       0.134517      0.059123   \n",
       "Dinoflagellates       0.068507   0.030159       0.111427      0.105006   \n",
       "Raphidophytes         0.186019   0.089479       0.471045      0.151756   \n",
       "DD                    0.986013   0.292639      -0.028299     -0.089512   \n",
       "CPH                  -0.143394   0.067138       0.565312      0.850031   \n",
       "TchlA (ug/L)          0.799078   0.278908       0.323326      0.145622   \n",
       "mod_diatoms_chl       0.329545   0.068727      -0.064953      0.107619   \n",
       "mod_flagellates_chl  -0.107524  -0.136186       0.271249      0.283430   \n",
       "mod_ciliates_chl      0.086555  -0.003254       0.028373      0.018542   \n",
       "mod_TChl              0.240522  -0.009364       0.083302      0.238735   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                -0.155529    -0.089528        -0.038014   \n",
       "Diatoms-2                 0.041872     0.045439         0.204256   \n",
       "Cyanobacteria             0.673585     0.265069         0.134517   \n",
       "Cryptophytes              0.629727     0.330846         0.059123   \n",
       "Prasinophytes             1.000000     0.273744         0.115485   \n",
       "Haptophytes               0.273744     1.000000         0.028364   \n",
       "Dictyochophytes           0.115485     0.028364         1.000000   \n",
       "Dinoflagellates           0.043839    -0.005455         0.070478   \n",
       "Raphidophytes             0.193154    -0.014300         0.073749   \n",
       "DD                       -0.142939    -0.078695        -0.002326   \n",
       "CPH                       0.760689     0.718854         0.079637   \n",
       "TchlA (ug/L)              0.115373     0.040637         0.084752   \n",
       "mod_diatoms_chl          -0.114043    -0.024129        -0.061454   \n",
       "mod_flagellates_chl       0.288055     0.309359         0.083663   \n",
       "mod_ciliates_chl         -0.032531     0.041182        -0.033596   \n",
       "mod_TChl                  0.043383     0.139303        -0.014315   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes        DD       CPH  \\\n",
       "Diatoms-1                   0.068507       0.186019  0.986013 -0.143394   \n",
       "Diatoms-2                   0.030159       0.089479  0.292639  0.067138   \n",
       "Cyanobacteria               0.111427       0.471045 -0.028299  0.565312   \n",
       "Cryptophytes                0.105006       0.151756 -0.089512  0.850031   \n",
       "Prasinophytes               0.043839       0.193154 -0.142939  0.760689   \n",
       "Haptophytes                -0.005455      -0.014300 -0.078695  0.718854   \n",
       "Dictyochophytes             0.070478       0.073749 -0.002326  0.079637   \n",
       "Dinoflagellates             1.000000       0.224567  0.071130  0.063264   \n",
       "Raphidophytes               0.224567       1.000000  0.194417  0.130332   \n",
       "DD                          0.071130       0.194417  1.000000 -0.126991   \n",
       "CPH                         0.063264       0.130332 -0.126991  1.000000   \n",
       "TchlA (ug/L)                0.247006       0.697246  0.817431  0.127898   \n",
       "mod_diatoms_chl             0.051962       0.198755  0.329332  0.004846   \n",
       "mod_flagellates_chl         0.131246      -0.038571 -0.126575  0.377130   \n",
       "mod_ciliates_chl            0.028659       0.003086  0.082919  0.017882   \n",
       "mod_TChl                    0.114278       0.153761  0.230362  0.196614   \n",
       "\n",
       "                     TchlA (ug/L)  mod_diatoms_chl  mod_flagellates_chl  \\\n",
       "Diatoms-1                0.799078         0.329545            -0.107524   \n",
       "Diatoms-2                0.278908         0.068727            -0.136186   \n",
       "Cyanobacteria            0.323326        -0.064953             0.271249   \n",
       "Cryptophytes             0.145622         0.107619             0.283430   \n",
       "Prasinophytes            0.115373        -0.114043             0.288055   \n",
       "Haptophytes              0.040637        -0.024129             0.309359   \n",
       "Dictyochophytes          0.084752        -0.061454             0.083663   \n",
       "Dinoflagellates          0.247006         0.051962             0.131246   \n",
       "Raphidophytes            0.697246         0.198755            -0.038571   \n",
       "DD                       0.817431         0.329332            -0.126575   \n",
       "CPH                      0.127898         0.004846             0.377130   \n",
       "TchlA (ug/L)             1.000000         0.343112            -0.045938   \n",
       "mod_diatoms_chl          0.343112         1.000000             0.188324   \n",
       "mod_flagellates_chl     -0.045938         0.188324             1.000000   \n",
       "mod_ciliates_chl         0.063879         0.462767             0.552138   \n",
       "mod_TChl                 0.281355         0.842638             0.682743   \n",
       "\n",
       "                     mod_ciliates_chl  mod_TChl  \n",
       "Diatoms-1                    0.086555  0.240522  \n",
       "Diatoms-2                   -0.003254 -0.009364  \n",
       "Cyanobacteria                0.028373  0.083302  \n",
       "Cryptophytes                 0.018542  0.238735  \n",
       "Prasinophytes               -0.032531  0.043383  \n",
       "Haptophytes                  0.041182  0.139303  \n",
       "Dictyochophytes             -0.033596 -0.014315  \n",
       "Dinoflagellates              0.028659  0.114278  \n",
       "Raphidophytes                0.003086  0.153761  \n",
       "DD                           0.082919  0.230362  \n",
       "CPH                          0.017882  0.196614  \n",
       "TchlA (ug/L)                 0.063879  0.281355  \n",
       "mod_diatoms_chl              0.462767  0.842638  \n",
       "mod_flagellates_chl          0.552138  0.682743  \n",
       "mod_ciliates_chl             1.000000  0.696784  \n",
       "mod_TChl                     0.696784  1.000000  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVars.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Strongest correlations:\n",
    "Model diatoms and:\n",
    "- Total chla: 0.343112\n",
    "- Diatoms-1: 0.329545\n",
    "- Diatoms-1+Diatoms-2: 0.329332\n",
    "\n",
    "Model flagellates and:\n",
    "- crypto+hapto+prasino: 0.377130\n",
    "- haptophytes: 0.309359\n",
    "- prasinophytes: 0.288055\n",
    "- cryptophytes: 0.283430\n",
    "- cyanobacteria: 0.271249 (but remember that cyanobacteria abundances are low)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.030079,
     "end_time": "2020-11-16T18:41:32.247688",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.217609",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Cov matrix with log transformed values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "papermill": {
     "duration": 0.056303,
     "end_time": "2020-11-16T18:41:32.334217",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.277914",
     "status": "completed"
    },
    "tags": []
   },
   "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>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>CPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>1.707049</td>\n",
       "      <td>0.223426</td>\n",
       "      <td>-0.191222</td>\n",
       "      <td>-0.156507</td>\n",
       "      <td>-0.337293</td>\n",
       "      <td>-0.224417</td>\n",
       "      <td>-0.022976</td>\n",
       "      <td>0.263191</td>\n",
       "      <td>-0.054699</td>\n",
       "      <td>-0.169667</td>\n",
       "      <td>0.364806</td>\n",
       "      <td>0.476603</td>\n",
       "      <td>-0.084867</td>\n",
       "      <td>0.038920</td>\n",
       "      <td>0.104432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.223426</td>\n",
       "      <td>1.157251</td>\n",
       "      <td>-0.060550</td>\n",
       "      <td>-0.011380</td>\n",
       "      <td>-0.068113</td>\n",
       "      <td>-0.214188</td>\n",
       "      <td>0.216906</td>\n",
       "      <td>0.092818</td>\n",
       "      <td>-0.069990</td>\n",
       "      <td>-0.055547</td>\n",
       "      <td>0.056765</td>\n",
       "      <td>-0.056367</td>\n",
       "      <td>-0.169885</td>\n",
       "      <td>-0.014911</td>\n",
       "      <td>-0.097714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.191222</td>\n",
       "      <td>-0.060550</td>\n",
       "      <td>0.633347</td>\n",
       "      <td>0.146625</td>\n",
       "      <td>0.243042</td>\n",
       "      <td>0.247024</td>\n",
       "      <td>0.209872</td>\n",
       "      <td>0.000628</td>\n",
       "      <td>0.242199</td>\n",
       "      <td>0.166302</td>\n",
       "      <td>0.040958</td>\n",
       "      <td>-0.135042</td>\n",
       "      <td>0.180073</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>0.056720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.156507</td>\n",
       "      <td>-0.011380</td>\n",
       "      <td>0.146625</td>\n",
       "      <td>0.356259</td>\n",
       "      <td>0.328485</td>\n",
       "      <td>0.188575</td>\n",
       "      <td>0.155626</td>\n",
       "      <td>0.120032</td>\n",
       "      <td>0.215341</td>\n",
       "      <td>0.280974</td>\n",
       "      <td>0.020934</td>\n",
       "      <td>-0.033067</td>\n",
       "      <td>0.092525</td>\n",
       "      <td>0.006534</td>\n",
       "      <td>0.036274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>-0.337293</td>\n",
       "      <td>-0.068113</td>\n",
       "      <td>0.243042</td>\n",
       "      <td>0.328485</td>\n",
       "      <td>0.609223</td>\n",
       "      <td>0.224942</td>\n",
       "      <td>0.242433</td>\n",
       "      <td>0.086112</td>\n",
       "      <td>0.339321</td>\n",
       "      <td>0.294348</td>\n",
       "      <td>-0.008362</td>\n",
       "      <td>-0.216512</td>\n",
       "      <td>0.141680</td>\n",
       "      <td>0.005110</td>\n",
       "      <td>0.009428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.224417</td>\n",
       "      <td>-0.214188</td>\n",
       "      <td>0.247024</td>\n",
       "      <td>0.188575</td>\n",
       "      <td>0.224942</td>\n",
       "      <td>0.925289</td>\n",
       "      <td>0.151881</td>\n",
       "      <td>0.035647</td>\n",
       "      <td>0.170967</td>\n",
       "      <td>0.299372</td>\n",
       "      <td>0.027662</td>\n",
       "      <td>-0.094195</td>\n",
       "      <td>0.128808</td>\n",
       "      <td>0.018326</td>\n",
       "      <td>0.048811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>-0.022976</td>\n",
       "      <td>0.216906</td>\n",
       "      <td>0.209872</td>\n",
       "      <td>0.155626</td>\n",
       "      <td>0.242433</td>\n",
       "      <td>0.151881</td>\n",
       "      <td>0.597360</td>\n",
       "      <td>0.161760</td>\n",
       "      <td>0.244945</td>\n",
       "      <td>0.137147</td>\n",
       "      <td>0.045678</td>\n",
       "      <td>-0.169324</td>\n",
       "      <td>0.049793</td>\n",
       "      <td>-0.020213</td>\n",
       "      <td>-0.030679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.263191</td>\n",
       "      <td>0.092818</td>\n",
       "      <td>0.000628</td>\n",
       "      <td>0.120032</td>\n",
       "      <td>0.086112</td>\n",
       "      <td>0.035647</td>\n",
       "      <td>0.161760</td>\n",
       "      <td>0.613904</td>\n",
       "      <td>0.261217</td>\n",
       "      <td>0.104403</td>\n",
       "      <td>0.146699</td>\n",
       "      <td>0.132020</td>\n",
       "      <td>0.045846</td>\n",
       "      <td>0.009338</td>\n",
       "      <td>0.053734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>-0.054699</td>\n",
       "      <td>-0.069990</td>\n",
       "      <td>0.242199</td>\n",
       "      <td>0.215341</td>\n",
       "      <td>0.339321</td>\n",
       "      <td>0.170967</td>\n",
       "      <td>0.244945</td>\n",
       "      <td>0.261217</td>\n",
       "      <td>0.883823</td>\n",
       "      <td>0.188160</td>\n",
       "      <td>0.096005</td>\n",
       "      <td>-0.092404</td>\n",
       "      <td>0.144130</td>\n",
       "      <td>0.011343</td>\n",
       "      <td>0.038407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPH</th>\n",
       "      <td>-0.169667</td>\n",
       "      <td>-0.055547</td>\n",
       "      <td>0.166302</td>\n",
       "      <td>0.280974</td>\n",
       "      <td>0.294348</td>\n",
       "      <td>0.299372</td>\n",
       "      <td>0.137147</td>\n",
       "      <td>0.104403</td>\n",
       "      <td>0.188160</td>\n",
       "      <td>0.291239</td>\n",
       "      <td>0.030483</td>\n",
       "      <td>-0.043455</td>\n",
       "      <td>0.093382</td>\n",
       "      <td>0.009820</td>\n",
       "      <td>0.035571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>0.364806</td>\n",
       "      <td>0.056765</td>\n",
       "      <td>0.040958</td>\n",
       "      <td>0.020934</td>\n",
       "      <td>-0.008362</td>\n",
       "      <td>0.027662</td>\n",
       "      <td>0.045678</td>\n",
       "      <td>0.146699</td>\n",
       "      <td>0.096005</td>\n",
       "      <td>0.030483</td>\n",
       "      <td>0.202329</td>\n",
       "      <td>0.174689</td>\n",
       "      <td>0.038590</td>\n",
       "      <td>0.028476</td>\n",
       "      <td>0.083405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>0.476603</td>\n",
       "      <td>-0.056367</td>\n",
       "      <td>-0.135042</td>\n",
       "      <td>-0.033067</td>\n",
       "      <td>-0.216512</td>\n",
       "      <td>-0.094195</td>\n",
       "      <td>-0.169324</td>\n",
       "      <td>0.132020</td>\n",
       "      <td>-0.092404</td>\n",
       "      <td>-0.043455</td>\n",
       "      <td>0.174689</td>\n",
       "      <td>0.996790</td>\n",
       "      <td>0.547935</td>\n",
       "      <td>0.528631</td>\n",
       "      <td>0.718548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.084867</td>\n",
       "      <td>-0.169885</td>\n",
       "      <td>0.180073</td>\n",
       "      <td>0.092525</td>\n",
       "      <td>0.141680</td>\n",
       "      <td>0.128808</td>\n",
       "      <td>0.049793</td>\n",
       "      <td>0.045846</td>\n",
       "      <td>0.144130</td>\n",
       "      <td>0.093382</td>\n",
       "      <td>0.038590</td>\n",
       "      <td>0.547935</td>\n",
       "      <td>0.662337</td>\n",
       "      <td>0.526045</td>\n",
       "      <td>0.667923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.038920</td>\n",
       "      <td>-0.014911</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>0.006534</td>\n",
       "      <td>0.005110</td>\n",
       "      <td>0.018326</td>\n",
       "      <td>-0.020213</td>\n",
       "      <td>0.009338</td>\n",
       "      <td>0.011343</td>\n",
       "      <td>0.009820</td>\n",
       "      <td>0.028476</td>\n",
       "      <td>0.528631</td>\n",
       "      <td>0.526045</td>\n",
       "      <td>0.499697</td>\n",
       "      <td>0.587392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>0.104432</td>\n",
       "      <td>-0.097714</td>\n",
       "      <td>0.056720</td>\n",
       "      <td>0.036274</td>\n",
       "      <td>0.009428</td>\n",
       "      <td>0.048811</td>\n",
       "      <td>-0.030679</td>\n",
       "      <td>0.053734</td>\n",
       "      <td>0.038407</td>\n",
       "      <td>0.035571</td>\n",
       "      <td>0.083405</td>\n",
       "      <td>0.718548</td>\n",
       "      <td>0.667923</td>\n",
       "      <td>0.587392</td>\n",
       "      <td>0.749744</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1             1.707049   0.223426      -0.191222     -0.156507   \n",
       "Diatoms-2             0.223426   1.157251      -0.060550     -0.011380   \n",
       "Cyanobacteria        -0.191222  -0.060550       0.633347      0.146625   \n",
       "Cryptophytes         -0.156507  -0.011380       0.146625      0.356259   \n",
       "Prasinophytes        -0.337293  -0.068113       0.243042      0.328485   \n",
       "Haptophytes          -0.224417  -0.214188       0.247024      0.188575   \n",
       "Dictyochophytes      -0.022976   0.216906       0.209872      0.155626   \n",
       "Dinoflagellates       0.263191   0.092818       0.000628      0.120032   \n",
       "Raphidophytes        -0.054699  -0.069990       0.242199      0.215341   \n",
       "CPH                  -0.169667  -0.055547       0.166302      0.280974   \n",
       "TchlA (ug/L)          0.364806   0.056765       0.040958      0.020934   \n",
       "mod_diatoms_chl       0.476603  -0.056367      -0.135042     -0.033067   \n",
       "mod_flagellates_chl  -0.084867  -0.169885       0.180073      0.092525   \n",
       "mod_ciliates_chl      0.038920  -0.014911       0.039249      0.006534   \n",
       "mod_TChl              0.104432  -0.097714       0.056720      0.036274   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                -0.337293    -0.224417        -0.022976   \n",
       "Diatoms-2                -0.068113    -0.214188         0.216906   \n",
       "Cyanobacteria             0.243042     0.247024         0.209872   \n",
       "Cryptophytes              0.328485     0.188575         0.155626   \n",
       "Prasinophytes             0.609223     0.224942         0.242433   \n",
       "Haptophytes               0.224942     0.925289         0.151881   \n",
       "Dictyochophytes           0.242433     0.151881         0.597360   \n",
       "Dinoflagellates           0.086112     0.035647         0.161760   \n",
       "Raphidophytes             0.339321     0.170967         0.244945   \n",
       "CPH                       0.294348     0.299372         0.137147   \n",
       "TchlA (ug/L)             -0.008362     0.027662         0.045678   \n",
       "mod_diatoms_chl          -0.216512    -0.094195        -0.169324   \n",
       "mod_flagellates_chl       0.141680     0.128808         0.049793   \n",
       "mod_ciliates_chl          0.005110     0.018326        -0.020213   \n",
       "mod_TChl                  0.009428     0.048811        -0.030679   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes       CPH  TchlA (ug/L)  \\\n",
       "Diatoms-1                   0.263191      -0.054699 -0.169667      0.364806   \n",
       "Diatoms-2                   0.092818      -0.069990 -0.055547      0.056765   \n",
       "Cyanobacteria               0.000628       0.242199  0.166302      0.040958   \n",
       "Cryptophytes                0.120032       0.215341  0.280974      0.020934   \n",
       "Prasinophytes               0.086112       0.339321  0.294348     -0.008362   \n",
       "Haptophytes                 0.035647       0.170967  0.299372      0.027662   \n",
       "Dictyochophytes             0.161760       0.244945  0.137147      0.045678   \n",
       "Dinoflagellates             0.613904       0.261217  0.104403      0.146699   \n",
       "Raphidophytes               0.261217       0.883823  0.188160      0.096005   \n",
       "CPH                         0.104403       0.188160  0.291239      0.030483   \n",
       "TchlA (ug/L)                0.146699       0.096005  0.030483      0.202329   \n",
       "mod_diatoms_chl             0.132020      -0.092404 -0.043455      0.174689   \n",
       "mod_flagellates_chl         0.045846       0.144130  0.093382      0.038590   \n",
       "mod_ciliates_chl            0.009338       0.011343  0.009820      0.028476   \n",
       "mod_TChl                    0.053734       0.038407  0.035571      0.083405   \n",
       "\n",
       "                     mod_diatoms_chl  mod_flagellates_chl  mod_ciliates_chl  \\\n",
       "Diatoms-1                   0.476603            -0.084867          0.038920   \n",
       "Diatoms-2                  -0.056367            -0.169885         -0.014911   \n",
       "Cyanobacteria              -0.135042             0.180073          0.039249   \n",
       "Cryptophytes               -0.033067             0.092525          0.006534   \n",
       "Prasinophytes              -0.216512             0.141680          0.005110   \n",
       "Haptophytes                -0.094195             0.128808          0.018326   \n",
       "Dictyochophytes            -0.169324             0.049793         -0.020213   \n",
       "Dinoflagellates             0.132020             0.045846          0.009338   \n",
       "Raphidophytes              -0.092404             0.144130          0.011343   \n",
       "CPH                        -0.043455             0.093382          0.009820   \n",
       "TchlA (ug/L)                0.174689             0.038590          0.028476   \n",
       "mod_diatoms_chl             0.996790             0.547935          0.528631   \n",
       "mod_flagellates_chl         0.547935             0.662337          0.526045   \n",
       "mod_ciliates_chl            0.528631             0.526045          0.499697   \n",
       "mod_TChl                    0.718548             0.667923          0.587392   \n",
       "\n",
       "                     mod_TChl  \n",
       "Diatoms-1            0.104432  \n",
       "Diatoms-2           -0.097714  \n",
       "Cyanobacteria        0.056720  \n",
       "Cryptophytes         0.036274  \n",
       "Prasinophytes        0.009428  \n",
       "Haptophytes          0.048811  \n",
       "Dictyochophytes     -0.030679  \n",
       "Dinoflagellates      0.053734  \n",
       "Raphidophytes        0.038407  \n",
       "CPH                  0.035571  \n",
       "TchlA (ug/L)         0.083405  \n",
       "mod_diatoms_chl      0.718548  \n",
       "mod_flagellates_chl  0.667923  \n",
       "mod_ciliates_chl     0.587392  \n",
       "mod_TChl             0.749744  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dflog=pd.DataFrame()\n",
    "for el in ['Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "       'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes','CPH','TchlA (ug/L)',\n",
    "                   'mod_diatoms_chl','mod_flagellates_chl','mod_ciliates_chl','mod_TChl']:\n",
    "    dflog[el]=logt(data[el])\n",
    "dflog.cov()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.030535,
     "end_time": "2020-11-16T18:41:32.395616",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.365081",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Corr Coeff matrix with log transformed values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "papermill": {
     "duration": 0.047132,
     "end_time": "2020-11-16T18:41:32.473848",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.426716",
     "status": "completed"
    },
    "tags": []
   },
   "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>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>CPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.158963</td>\n",
       "      <td>-0.183906</td>\n",
       "      <td>-0.200691</td>\n",
       "      <td>-0.330748</td>\n",
       "      <td>-0.178564</td>\n",
       "      <td>-0.022753</td>\n",
       "      <td>0.257098</td>\n",
       "      <td>-0.044532</td>\n",
       "      <td>-0.240631</td>\n",
       "      <td>0.620741</td>\n",
       "      <td>0.381332</td>\n",
       "      <td>-0.121685</td>\n",
       "      <td>0.098088</td>\n",
       "      <td>0.158253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.158963</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.070727</td>\n",
       "      <td>-0.017724</td>\n",
       "      <td>-0.081120</td>\n",
       "      <td>-0.206987</td>\n",
       "      <td>0.260879</td>\n",
       "      <td>0.110120</td>\n",
       "      <td>-0.069205</td>\n",
       "      <td>-0.095680</td>\n",
       "      <td>0.117311</td>\n",
       "      <td>-0.054775</td>\n",
       "      <td>-0.295843</td>\n",
       "      <td>-0.045642</td>\n",
       "      <td>-0.179840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.183906</td>\n",
       "      <td>-0.070727</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.308677</td>\n",
       "      <td>0.391266</td>\n",
       "      <td>0.322685</td>\n",
       "      <td>0.341206</td>\n",
       "      <td>0.001006</td>\n",
       "      <td>0.323720</td>\n",
       "      <td>0.387215</td>\n",
       "      <td>0.114417</td>\n",
       "      <td>-0.177385</td>\n",
       "      <td>0.423884</td>\n",
       "      <td>0.162395</td>\n",
       "      <td>0.141110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.200691</td>\n",
       "      <td>-0.017724</td>\n",
       "      <td>0.308677</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.705089</td>\n",
       "      <td>0.328445</td>\n",
       "      <td>0.337350</td>\n",
       "      <td>0.256664</td>\n",
       "      <td>0.383761</td>\n",
       "      <td>0.872284</td>\n",
       "      <td>0.077971</td>\n",
       "      <td>-0.057914</td>\n",
       "      <td>0.290401</td>\n",
       "      <td>0.036045</td>\n",
       "      <td>0.120324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>-0.330748</td>\n",
       "      <td>-0.081120</td>\n",
       "      <td>0.391266</td>\n",
       "      <td>0.705089</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.299601</td>\n",
       "      <td>0.401870</td>\n",
       "      <td>0.140807</td>\n",
       "      <td>0.462423</td>\n",
       "      <td>0.698793</td>\n",
       "      <td>-0.023818</td>\n",
       "      <td>-0.289977</td>\n",
       "      <td>0.340049</td>\n",
       "      <td>0.021557</td>\n",
       "      <td>0.023916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.178564</td>\n",
       "      <td>-0.206987</td>\n",
       "      <td>0.322685</td>\n",
       "      <td>0.328445</td>\n",
       "      <td>0.299601</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.204290</td>\n",
       "      <td>0.047297</td>\n",
       "      <td>0.189056</td>\n",
       "      <td>0.576696</td>\n",
       "      <td>0.063931</td>\n",
       "      <td>-0.102367</td>\n",
       "      <td>0.250856</td>\n",
       "      <td>0.062734</td>\n",
       "      <td>0.100466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>-0.022753</td>\n",
       "      <td>0.260879</td>\n",
       "      <td>0.341206</td>\n",
       "      <td>0.337350</td>\n",
       "      <td>0.401870</td>\n",
       "      <td>0.204290</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.267118</td>\n",
       "      <td>0.337107</td>\n",
       "      <td>0.328808</td>\n",
       "      <td>0.131390</td>\n",
       "      <td>-0.229019</td>\n",
       "      <td>0.120689</td>\n",
       "      <td>-0.086112</td>\n",
       "      <td>-0.078591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.257098</td>\n",
       "      <td>0.110120</td>\n",
       "      <td>0.001006</td>\n",
       "      <td>0.256664</td>\n",
       "      <td>0.140807</td>\n",
       "      <td>0.047297</td>\n",
       "      <td>0.267118</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.354625</td>\n",
       "      <td>0.246911</td>\n",
       "      <td>0.416244</td>\n",
       "      <td>0.176141</td>\n",
       "      <td>0.109616</td>\n",
       "      <td>0.039243</td>\n",
       "      <td>0.135781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>-0.044532</td>\n",
       "      <td>-0.069205</td>\n",
       "      <td>0.323720</td>\n",
       "      <td>0.383761</td>\n",
       "      <td>0.462423</td>\n",
       "      <td>0.189056</td>\n",
       "      <td>0.337107</td>\n",
       "      <td>0.354625</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.370869</td>\n",
       "      <td>0.227029</td>\n",
       "      <td>-0.102750</td>\n",
       "      <td>0.287205</td>\n",
       "      <td>0.039728</td>\n",
       "      <td>0.080884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPH</th>\n",
       "      <td>-0.240631</td>\n",
       "      <td>-0.095680</td>\n",
       "      <td>0.387215</td>\n",
       "      <td>0.872284</td>\n",
       "      <td>0.698793</td>\n",
       "      <td>0.576696</td>\n",
       "      <td>0.328808</td>\n",
       "      <td>0.246911</td>\n",
       "      <td>0.370869</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.125576</td>\n",
       "      <td>-0.084175</td>\n",
       "      <td>0.324159</td>\n",
       "      <td>0.059914</td>\n",
       "      <td>0.130502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>0.620741</td>\n",
       "      <td>0.117311</td>\n",
       "      <td>0.114417</td>\n",
       "      <td>0.077971</td>\n",
       "      <td>-0.023818</td>\n",
       "      <td>0.063931</td>\n",
       "      <td>0.131390</td>\n",
       "      <td>0.416244</td>\n",
       "      <td>0.227029</td>\n",
       "      <td>0.125576</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.405982</td>\n",
       "      <td>0.160721</td>\n",
       "      <td>0.208456</td>\n",
       "      <td>0.367118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>0.381332</td>\n",
       "      <td>-0.054775</td>\n",
       "      <td>-0.177385</td>\n",
       "      <td>-0.057914</td>\n",
       "      <td>-0.289977</td>\n",
       "      <td>-0.102367</td>\n",
       "      <td>-0.229019</td>\n",
       "      <td>0.176141</td>\n",
       "      <td>-0.102750</td>\n",
       "      <td>-0.084175</td>\n",
       "      <td>0.405982</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.674353</td>\n",
       "      <td>0.749027</td>\n",
       "      <td>0.831184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.121685</td>\n",
       "      <td>-0.295843</td>\n",
       "      <td>0.423884</td>\n",
       "      <td>0.290401</td>\n",
       "      <td>0.340049</td>\n",
       "      <td>0.250856</td>\n",
       "      <td>0.120689</td>\n",
       "      <td>0.109616</td>\n",
       "      <td>0.287205</td>\n",
       "      <td>0.324159</td>\n",
       "      <td>0.160721</td>\n",
       "      <td>0.674353</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.914387</td>\n",
       "      <td>0.947829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.098088</td>\n",
       "      <td>-0.045642</td>\n",
       "      <td>0.162395</td>\n",
       "      <td>0.036045</td>\n",
       "      <td>0.021557</td>\n",
       "      <td>0.062734</td>\n",
       "      <td>-0.086112</td>\n",
       "      <td>0.039243</td>\n",
       "      <td>0.039728</td>\n",
       "      <td>0.059914</td>\n",
       "      <td>0.208456</td>\n",
       "      <td>0.749027</td>\n",
       "      <td>0.914387</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.959662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>0.158253</td>\n",
       "      <td>-0.179840</td>\n",
       "      <td>0.141110</td>\n",
       "      <td>0.120324</td>\n",
       "      <td>0.023916</td>\n",
       "      <td>0.100466</td>\n",
       "      <td>-0.078591</td>\n",
       "      <td>0.135781</td>\n",
       "      <td>0.080884</td>\n",
       "      <td>0.130502</td>\n",
       "      <td>0.367118</td>\n",
       "      <td>0.831184</td>\n",
       "      <td>0.947829</td>\n",
       "      <td>0.959662</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1             1.000000   0.158963      -0.183906     -0.200691   \n",
       "Diatoms-2             0.158963   1.000000      -0.070727     -0.017724   \n",
       "Cyanobacteria        -0.183906  -0.070727       1.000000      0.308677   \n",
       "Cryptophytes         -0.200691  -0.017724       0.308677      1.000000   \n",
       "Prasinophytes        -0.330748  -0.081120       0.391266      0.705089   \n",
       "Haptophytes          -0.178564  -0.206987       0.322685      0.328445   \n",
       "Dictyochophytes      -0.022753   0.260879       0.341206      0.337350   \n",
       "Dinoflagellates       0.257098   0.110120       0.001006      0.256664   \n",
       "Raphidophytes        -0.044532  -0.069205       0.323720      0.383761   \n",
       "CPH                  -0.240631  -0.095680       0.387215      0.872284   \n",
       "TchlA (ug/L)          0.620741   0.117311       0.114417      0.077971   \n",
       "mod_diatoms_chl       0.381332  -0.054775      -0.177385     -0.057914   \n",
       "mod_flagellates_chl  -0.121685  -0.295843       0.423884      0.290401   \n",
       "mod_ciliates_chl      0.098088  -0.045642       0.162395      0.036045   \n",
       "mod_TChl              0.158253  -0.179840       0.141110      0.120324   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                -0.330748    -0.178564        -0.022753   \n",
       "Diatoms-2                -0.081120    -0.206987         0.260879   \n",
       "Cyanobacteria             0.391266     0.322685         0.341206   \n",
       "Cryptophytes              0.705089     0.328445         0.337350   \n",
       "Prasinophytes             1.000000     0.299601         0.401870   \n",
       "Haptophytes               0.299601     1.000000         0.204290   \n",
       "Dictyochophytes           0.401870     0.204290         1.000000   \n",
       "Dinoflagellates           0.140807     0.047297         0.267118   \n",
       "Raphidophytes             0.462423     0.189056         0.337107   \n",
       "CPH                       0.698793     0.576696         0.328808   \n",
       "TchlA (ug/L)             -0.023818     0.063931         0.131390   \n",
       "mod_diatoms_chl          -0.289977    -0.102367        -0.229019   \n",
       "mod_flagellates_chl       0.340049     0.250856         0.120689   \n",
       "mod_ciliates_chl          0.021557     0.062734        -0.086112   \n",
       "mod_TChl                  0.023916     0.100466        -0.078591   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes       CPH  TchlA (ug/L)  \\\n",
       "Diatoms-1                   0.257098      -0.044532 -0.240631      0.620741   \n",
       "Diatoms-2                   0.110120      -0.069205 -0.095680      0.117311   \n",
       "Cyanobacteria               0.001006       0.323720  0.387215      0.114417   \n",
       "Cryptophytes                0.256664       0.383761  0.872284      0.077971   \n",
       "Prasinophytes               0.140807       0.462423  0.698793     -0.023818   \n",
       "Haptophytes                 0.047297       0.189056  0.576696      0.063931   \n",
       "Dictyochophytes             0.267118       0.337107  0.328808      0.131390   \n",
       "Dinoflagellates             1.000000       0.354625  0.246911      0.416244   \n",
       "Raphidophytes               0.354625       1.000000  0.370869      0.227029   \n",
       "CPH                         0.246911       0.370869  1.000000      0.125576   \n",
       "TchlA (ug/L)                0.416244       0.227029  0.125576      1.000000   \n",
       "mod_diatoms_chl             0.176141      -0.102750 -0.084175      0.405982   \n",
       "mod_flagellates_chl         0.109616       0.287205  0.324159      0.160721   \n",
       "mod_ciliates_chl            0.039243       0.039728  0.059914      0.208456   \n",
       "mod_TChl                    0.135781       0.080884  0.130502      0.367118   \n",
       "\n",
       "                     mod_diatoms_chl  mod_flagellates_chl  mod_ciliates_chl  \\\n",
       "Diatoms-1                   0.381332            -0.121685          0.098088   \n",
       "Diatoms-2                  -0.054775            -0.295843         -0.045642   \n",
       "Cyanobacteria              -0.177385             0.423884          0.162395   \n",
       "Cryptophytes               -0.057914             0.290401          0.036045   \n",
       "Prasinophytes              -0.289977             0.340049          0.021557   \n",
       "Haptophytes                -0.102367             0.250856          0.062734   \n",
       "Dictyochophytes            -0.229019             0.120689         -0.086112   \n",
       "Dinoflagellates             0.176141             0.109616          0.039243   \n",
       "Raphidophytes              -0.102750             0.287205          0.039728   \n",
       "CPH                        -0.084175             0.324159          0.059914   \n",
       "TchlA (ug/L)                0.405982             0.160721          0.208456   \n",
       "mod_diatoms_chl             1.000000             0.674353          0.749027   \n",
       "mod_flagellates_chl         0.674353             1.000000          0.914387   \n",
       "mod_ciliates_chl            0.749027             0.914387          1.000000   \n",
       "mod_TChl                    0.831184             0.947829          0.959662   \n",
       "\n",
       "                     mod_TChl  \n",
       "Diatoms-1            0.158253  \n",
       "Diatoms-2           -0.179840  \n",
       "Cyanobacteria        0.141110  \n",
       "Cryptophytes         0.120324  \n",
       "Prasinophytes        0.023916  \n",
       "Haptophytes          0.100466  \n",
       "Dictyochophytes     -0.078591  \n",
       "Dinoflagellates      0.135781  \n",
       "Raphidophytes        0.080884  \n",
       "CPH                  0.130502  \n",
       "TchlA (ug/L)         0.367118  \n",
       "mod_diatoms_chl      0.831184  \n",
       "mod_flagellates_chl  0.947829  \n",
       "mod_ciliates_chl     0.959662  \n",
       "mod_TChl             1.000000  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dflog.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.031708,
     "end_time": "2020-11-16T18:41:32.537597",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.505889",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Grouped Model-Obs Comparison: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "papermill": {
     "duration": 0.464516,
     "end_time": "2020-11-16T18:41:33.033909",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.569393",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f3b93ee5b80>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresh=.8\n",
    "msize=5\n",
    "fig,ax=plt.subplots(1,2,figsize=(9,4))\n",
    "m=ax[0].scatter(logt(data['DD']),logt(data['mod_diatoms_chl']),\n",
    "          c=data['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "m=ax[1].scatter(logt(data['CPH']),logt(data['mod_flagellates_chl']),\n",
    "          c=data['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_xlim(-3,2)\n",
    "ax[0].set_ylim(-3,2)\n",
    "ax[1].set_xlim(-3,1.2)\n",
    "ax[1].set_ylim(-3,1.2)\n",
    "ax[0].set_xlabel('Diatoms 1 + Diatoms 2')\n",
    "ax[0].set_ylabel('Model Diatoms')\n",
    "ax[0].set_title('log10[Chl (mg/m$^3$)+.001]')\n",
    "ax[1].set_xlabel('crypto+prasino+hapto')\n",
    "ax[1].set_ylabel('Model flagellates')\n",
    "ax[1].set_title('log10[Chl (mg/m$^3$)+.001]')\n",
    "ax[0].plot((-3,2),(-3+thresh,2+thresh),'-',color='grey')\n",
    "ax[0].plot((-3,2),(-3-thresh,2-thresh),'-',color='grey')\n",
    "ax[1].plot((-3,2),(-3+thresh,2+thresh),'-',color='grey')\n",
    "ax[1].plot((-3,2),(-3-thresh,2-thresh),'-',color='grey')\n",
    "ax[0].plot((-3,2),(-3,2),'k-')\n",
    "ax[1].plot((-3,1.2),(-3,1.2),'k-')\n",
    "plt.tight_layout()\n",
    "fig.colorbar(m,ax=ax[1])\n",
    "#fig.suptitle('New')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### look at summer separately (May-Aug)\n",
    "- Agrees reasonably well for 201905"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "papermill": {
     "duration": 0.464516,
     "end_time": "2020-11-16T18:41:33.033909",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.569393",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "May-Aug\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresh=.8\n",
    "msize=5\n",
    "data2=data.loc[(data['yd']>yd(dt.datetime(2015,5,1)))&(data['yd']<yd(dt.datetime(2015,9,1)))]\n",
    "fig,ax=plt.subplots(1,2,figsize=(9,4))\n",
    "m=ax[0].scatter(logt(data2['DD']),logt(data2['mod_diatoms_chl']),\n",
    "          c=data2['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "m=ax[1].scatter(logt(data2['CPH']),logt(data2['mod_flagellates_chl']),\n",
    "          c=data2['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_xlim(-3,2)\n",
    "ax[0].set_ylim(-3,2)\n",
    "ax[1].set_xlim(-3,1.2)\n",
    "ax[1].set_ylim(-3,1.2)\n",
    "ax[0].set_xlabel('Diatoms 1 + Diatoms 2')\n",
    "ax[0].set_ylabel('Model Diatoms')\n",
    "ax[0].set_title('log10[Chl (mg/m$^3$)+.001]')\n",
    "ax[1].set_xlabel('crypto+prasino+hapto')\n",
    "ax[1].set_ylabel('Model flagellates')\n",
    "ax[1].set_title('log10[Chl (mg/m$^3$)+.001]')\n",
    "ax[0].plot((-3,2),(-3+thresh,2+thresh),'-',color='grey')\n",
    "ax[0].plot((-3,2),(-3-thresh,2-thresh),'-',color='grey')\n",
    "ax[1].plot((-3,2),(-3+thresh,2+thresh),'-',color='grey')\n",
    "ax[1].plot((-3,2),(-3-thresh,2-thresh),'-',color='grey')\n",
    "ax[0].plot((-3,2),(-3,2),'k-')\n",
    "ax[1].plot((-3,1.2),(-3,1.2),'k-')\n",
    "plt.tight_layout()\n",
    "fig.colorbar(m,ax=ax[1])\n",
    "#fig.suptitle('New')\n",
    "print('May-Aug')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "papermill": {
     "duration": 0.464516,
     "end_time": "2020-11-16T18:41:33.033909",
     "exception": false,
     "start_time": "2020-11-16T18:41:32.569393",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f3b91ea8520>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresh=.8\n",
    "msize=10\n",
    "fig,ax=plt.subplots(1,2,figsize=(9,4))\n",
    "m=ax[0].scatter(data['DD'],data['mod_diatoms_chl'],\n",
    "          c=data['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "m=ax[1].scatter(data['CPH'],data['mod_flagellates_chl'],\n",
    "          c=data['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_xlim(0,30)\n",
    "ax[0].set_ylim(0,30)\n",
    "ax[1].set_xlim(0,10)\n",
    "ax[1].set_ylim(0,10)\n",
    "ax[0].set_xlabel('Diatoms 1 + Diatoms 2')\n",
    "ax[0].set_ylabel('Model Diatoms')\n",
    "ax[0].set_title('Chl (mg/m$^3$)+.001')\n",
    "ax[1].set_xlabel('crypto+prasino+hapto')\n",
    "ax[1].set_ylabel('Model flagellates')\n",
    "ax[1].set_title('Chl (mg/m$^3$)+.001')\n",
    "ax[0].plot((0,30),(0,30),'k-')\n",
    "ax[1].plot((0,10),(0,10),'k-')\n",
    "plt.tight_layout()\n",
    "fig.colorbar(m,ax=ax[1])\n",
    "#fig.suptitle('new')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear fits to empirical groupings\n",
    "- R^2 values are low"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "ii=(data['DD']>=0)&(data['mod_diatoms_chl']>=0)\n",
    "slope, intercept, r_value, p_value, std_err = spst.linregress(data.loc[ii]['DD'],\n",
    "                                                              data.loc[ii]['mod_diatoms_chl'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.16125795683686217, 0.7946825811125254, 0.10845956227659796)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slope, intercept, r_value*r_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "ii=(data['CPH']>=0)&(data['mod_flagellates_chl']>=0)\n",
    "slope, intercept, r_value, p_value, std_err = spst.linregress(data.loc[ii]['CPH'],\n",
    "                                                              data.loc[ii]['mod_flagellates_chl'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.5388676190446141, 0.5426070709199415, 0.1422266760037195)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slope, intercept, r_value*r_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "ii=(data['DD']>=0)&(data['mod_diatoms_chl']>=0)\n",
    "slope, intercept, r_value, p_value, std_err = spst.linregress(logt(data.loc[ii]['DD']),\n",
    "                                                              logt(data.loc[ii]['mod_diatoms_chl']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.29762210171936015, -0.6035847692143748, 0.09522667093021238)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slope, intercept, r_value*r_value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check for spatial patterns in over/under-estimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "papermill": {
     "duration": 0.4595,
     "end_time": "2020-11-16T18:41:33.528268",
     "exception": false,
     "start_time": "2020-11-16T18:41:33.068768",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms/DD\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Diatoms/DD')\n",
    "fig,ax=plt.subplots(1,4,figsize=(12,4),gridspec_kw={'width_ratios': [1,1,1,.1],'wspace':.5},)\n",
    "for iax in ax[0:3]:\n",
    "    iax.contour(navlon,navlat,tmask[0,:,:],levels=[0.5,],colors='gray')\n",
    "    iax.set_xlim(-125.3,-122.5)\n",
    "    iax.set_ylim(48,50.5)\n",
    "ihi=logt(data['mod_diatoms_chl'])>(logt(data['DD'])+thresh)\n",
    "ilo=logt(data['mod_diatoms_chl'])<(logt(data['DD'])-thresh)\n",
    "idata=data.loc[(data.DD>=0)&ihi]\n",
    "ax[0].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_title('High\\n log(mod)>log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.DD>=0)&(~ihi)&(~ilo)]\n",
    "ax[1].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[1].set_title('Medium\\n log(obs)-'+str(thresh)+'<log(mod)<log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.DD>=0)&ilo]\n",
    "m=ax[2].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[2].set_title('Low\\n log(mod)<log(obs)-'+str(thresh));\n",
    "fig.colorbar(m,cax=ax[3]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "papermill": {
     "duration": 0.493105,
     "end_time": "2020-11-16T18:41:34.059201",
     "exception": false,
     "start_time": "2020-11-16T18:41:33.566096",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Flagellates/CPH\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Flagellates/CPH')\n",
    "fig,ax=plt.subplots(1,4,figsize=(12,4),gridspec_kw={'width_ratios': [1,1,1,.1],'wspace':.5},)\n",
    "for iax in ax[0:3]:\n",
    "    iax.contour(navlon,navlat,tmask[0,:,:],levels=[0.5,],colors='gray')\n",
    "    iax.set_xlim(-125.3,-122.5)\n",
    "    iax.set_ylim(48,50.5)\n",
    "ihi=logt(data['mod_flagellates_chl'])>(logt(data['CPH'])+thresh)\n",
    "ilo=logt(data['mod_flagellates_chl'])<(logt(data['CPH'])-thresh)\n",
    "idata=data.loc[(data.CPH>=0)&ihi]\n",
    "ax[0].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_title('High\\n log(mod)>log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.CPH>=0)&(~ihi)&(~ilo)]\n",
    "ax[1].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[1].set_title('Medium\\n log(obs)-'+str(thresh)+'<log(mod)<log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.CPH>=0)&ilo]\n",
    "m=ax[2].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[2].set_title('Low\\n log(mod)<log(obs)-'+str(thresh));\n",
    "fig.colorbar(m,cax=ax[3]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.039846,
     "end_time": "2020-11-16T18:41:34.139935",
     "exception": false,
     "start_time": "2020-11-16T18:41:34.100089",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Species composition (fractional) by time of year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "papermill": {
     "duration": 0.425316,
     "end_time": "2020-11-16T18:41:34.630025",
     "exception": false,
     "start_time": "2020-11-16T18:41:34.204709",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f3b91c6c730>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "diatFracMod=data['mod_diatoms']/(data['mod_diatoms']+data['mod_flagellates']+data['mod_ciliates'])\n",
    "diatFracObs=data['DD']/data['TchlA (ug/L)']\n",
    "m=ax[0].scatter(diatFracObs,diatFracMod,\n",
    "          c=data['yd'],s=8,cmap=cmocean.cm.phase)\n",
    "ax[0].set_xlabel('HPLC Diatom Fraction')\n",
    "ax[0].set_ylabel('Model Diatom Fraction')\n",
    "ax[0].set_xlim((0,1))\n",
    "ax[0].set_ylim((0,1))\n",
    "flFracMod=data['mod_flagellates']/(data['mod_diatoms']+data['mod_flagellates']+data['mod_ciliates'])\n",
    "CPHFracObs=data['CPH']/data['TchlA (ug/L)']\n",
    "m=ax[1].scatter(CPHFracObs,flFracMod,\n",
    "          c=data['yd'],s=8,cmap=cmocean.cm.phase)\n",
    "ax[1].set_xlabel('HPLC Crypto Prasino Hapto Fraction')\n",
    "ax[1].set_ylabel('Model Flagellate Fraction')\n",
    "ax[1].set_xlim((0,1))\n",
    "ax[1].set_ylim((0,1))\n",
    "ax[0].set_aspect(1)\n",
    "ax[1].set_aspect(1)\n",
    "\n",
    "fig.colorbar(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- model diatom fraction tends high in summer and early fall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "papermill": {
     "duration": 0.049394,
     "end_time": "2020-11-16T18:41:34.723343",
     "exception": false,
     "start_time": "2020-11-16T18:41:34.673949",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Interpretation Reminder: same analysis on generated data with noise\n",
    "np.random.seed(42)\n",
    "df = pd.DataFrame(np.random.randn(1000, 4),columns=['a', 'b', 'c','d'])\n",
    "df['abc_comb']=.2*df['a']+.3*df['b']+.45*df['c']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "papermill": {
     "duration": 0.051918,
     "end_time": "2020-11-16T18:41:34.818200",
     "exception": false,
     "start_time": "2020-11-16T18:41:34.766282",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>abc_comb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>0.929140</td>\n",
       "      <td>0.007946</td>\n",
       "      <td>-0.037053</td>\n",
       "      <td>-0.022301</td>\n",
       "      <td>0.171538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>0.007946</td>\n",
       "      <td>1.023910</td>\n",
       "      <td>-0.032939</td>\n",
       "      <td>0.004689</td>\n",
       "      <td>0.293940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>-0.037053</td>\n",
       "      <td>-0.032939</td>\n",
       "      <td>1.012188</td>\n",
       "      <td>0.034186</td>\n",
       "      <td>0.438192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d</th>\n",
       "      <td>-0.022301</td>\n",
       "      <td>0.004689</td>\n",
       "      <td>0.034186</td>\n",
       "      <td>1.013977</td>\n",
       "      <td>0.012330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abc_comb</th>\n",
       "      <td>0.171538</td>\n",
       "      <td>0.293940</td>\n",
       "      <td>0.438192</td>\n",
       "      <td>0.012330</td>\n",
       "      <td>0.319676</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 a         b         c         d  abc_comb\n",
       "a         0.929140  0.007946 -0.037053 -0.022301  0.171538\n",
       "b         0.007946  1.023910 -0.032939  0.004689  0.293940\n",
       "c        -0.037053 -0.032939  1.012188  0.034186  0.438192\n",
       "d        -0.022301  0.004689  0.034186  1.013977  0.012330\n",
       "abc_comb  0.171538  0.293940  0.438192  0.012330  0.319676"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "papermill": {
     "duration": 0.051733,
     "end_time": "2020-11-16T18:41:34.913617",
     "exception": false,
     "start_time": "2020-11-16T18:41:34.861884",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "        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>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>abc_comb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.008146</td>\n",
       "      <td>-0.038208</td>\n",
       "      <td>-0.022976</td>\n",
       "      <td>0.314749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>0.008146</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032355</td>\n",
       "      <td>0.004602</td>\n",
       "      <td>0.513774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>-0.038208</td>\n",
       "      <td>-0.032355</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.033745</td>\n",
       "      <td>0.770334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d</th>\n",
       "      <td>-0.022976</td>\n",
       "      <td>0.004602</td>\n",
       "      <td>0.033745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.021657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abc_comb</th>\n",
       "      <td>0.314749</td>\n",
       "      <td>0.513774</td>\n",
       "      <td>0.770334</td>\n",
       "      <td>0.021657</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 a         b         c         d  abc_comb\n",
       "a         1.000000  0.008146 -0.038208 -0.022976  0.314749\n",
       "b         0.008146  1.000000 -0.032355  0.004602  0.513774\n",
       "c        -0.038208 -0.032355  1.000000  0.033745  0.770334\n",
       "d        -0.022976  0.004602  0.033745  1.000000  0.021657\n",
       "abc_comb  0.314749  0.513774  0.770334  0.021657  1.000000"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "papermill": {
     "duration": 0.049719,
     "end_time": "2020-11-16T18:41:35.006562",
     "exception": false,
     "start_time": "2020-11-16T18:41:34.956843",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 2.00000000e-01  3.00000000e-01  4.50000000e-01  1.59594560e-16\n",
      " -1.00613962e-16]\n"
     ]
    }
   ],
   "source": [
    "A=np.vstack([df['a'],df['b'],df['c'],df['d'],np.ones(np.shape(df['a']))]).T\n",
    "b=df['abc_comb']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]\n",
    "print(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python (py39)",
   "language": "python",
   "name": "py39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  },
  "papermill": {
   "duration": 11.766062,
   "end_time": "2020-11-16T18:41:35.052382",
   "environment_variables": {},
   "exception": null,
   "input_path": "compHPLCModelFirstLook-Regress-Base.ipynb",
   "output_path": "compHPLCModelFirstLook-Regress-201812.ipynb",
   "parameters": {
    "Chl_N": 1.8,
    "fname": "compHPLCModelFirstLook-Regress-201812.ipynb",
    "modSourceDir": "/results/SalishSea/nowcast-green.201812/",
    "modver": "201812"
   },
   "start_time": "2020-11-16T18:41:23.286320",
   "version": "2.0.0"
  }
 },
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}