spatialHHDW1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "from jupyterthemes import jtplot\n",
    "import luit as lt\n",
    "\n",
    "jtplot.style(theme='grade3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#User-supplied\n",
    "#obsfile = '/glade/p/work/manab/fcast/data/dly/obsflow.dly.HHDW1.csv'\n",
    "summaoutfile = '/glade/p/work/manab/fcast/HHDW1/output/hhdw1/final.nc'\n",
    "routefile = '/glade/p/work/manab/fcast/PNW_route/output/17003600_out.nc'\n",
    "polyshp = '/glade/p/work/manab/fcast/data/shapefile/Region_17_merged_hru.shp'\n",
    "segshp =  '/glade/p/work/manab/fcast/data/shapefile/Region17_merged_seg.shp'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>POI_ID</th>\n",
       "      <th>PROD_UNIT</th>\n",
       "      <th>hru_elev</th>\n",
       "      <th>hru_id2</th>\n",
       "      <th>Y_Centroid</th>\n",
       "      <th>X_Centroid</th>\n",
       "      <th>Basin_Area</th>\n",
       "      <th>seg_hru_id</th>\n",
       "      <th>Elev_Avg</th>\n",
       "      <th>Lon_Centro</th>\n",
       "      <th>Lat_Centro</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7341</th>\n",
       "      <td>7342</td>\n",
       "      <td>23977768</td>\n",
       "      <td>17d</td>\n",
       "      <td>1227.0</td>\n",
       "      <td>17007385</td>\n",
       "      <td>2.940304e+06</td>\n",
       "      <td>-1.909476e+06</td>\n",
       "      <td>8.052212e+06</td>\n",
       "      <td>17003605</td>\n",
       "      <td>1216.66376</td>\n",
       "      <td>-121.34689</td>\n",
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       "      <td>POLYGON ((-121.3017482329586 47.14459738039864...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7342</th>\n",
       "      <td>7343</td>\n",
       "      <td>23977768</td>\n",
       "      <td>17d</td>\n",
       "      <td>1111.0</td>\n",
       "      <td>17007386</td>\n",
       "      <td>2.940982e+06</td>\n",
       "      <td>-1.908705e+06</td>\n",
       "      <td>5.352517e+06</td>\n",
       "      <td>17003605</td>\n",
       "      <td>1120.52838</td>\n",
       "      <td>-121.33949</td>\n",
       "      <td>47.15643</td>\n",
       "      <td>POLYGON ((-121.3015899656361 47.1452178951329,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7380</th>\n",
       "      <td>7381</td>\n",
       "      <td>23977756</td>\n",
       "      <td>17d</td>\n",
       "      <td>1121.0</td>\n",
       "      <td>17007424</td>\n",
       "      <td>2.942993e+06</td>\n",
       "      <td>-1.913681e+06</td>\n",
       "      <td>3.664245e+07</td>\n",
       "      <td>17003604</td>\n",
       "      <td>1098.19608</td>\n",
       "      <td>-121.40942</td>\n",
       "      <td>47.16211</td>\n",
       "      <td>POLYGON ((-121.375434961942 47.17855680697091,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7386</th>\n",
       "      <td>7387</td>\n",
       "      <td>23977740</td>\n",
       "      <td>17d</td>\n",
       "      <td>984.0</td>\n",
       "      <td>17007430</td>\n",
       "      <td>2.946059e+06</td>\n",
       "      <td>-1.918558e+06</td>\n",
       "      <td>5.659188e+07</td>\n",
       "      <td>17003603</td>\n",
       "      <td>975.89110</td>\n",
       "      <td>-121.48177</td>\n",
       "      <td>47.17717</td>\n",
       "      <td>POLYGON ((-121.455417933194 47.21600741638544,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7403</th>\n",
       "      <td>7404</td>\n",
       "      <td>23977730</td>\n",
       "      <td>17d</td>\n",
       "      <td>923.0</td>\n",
       "      <td>17007447</td>\n",
       "      <td>2.948725e+06</td>\n",
       "      <td>-1.924887e+06</td>\n",
       "      <td>3.216996e+07</td>\n",
       "      <td>17003602</td>\n",
       "      <td>932.27742</td>\n",
       "      <td>-121.57115</td>\n",
       "      <td>47.18523</td>\n",
       "      <td>POLYGON ((-121.6086431045736 47.22415006191947...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      OBJECTID    POI_ID PROD_UNIT  hru_elev   hru_id2    Y_Centroid  \\\n",
       "7341      7342  23977768       17d    1227.0  17007385  2.940304e+06   \n",
       "7342      7343  23977768       17d    1111.0  17007386  2.940982e+06   \n",
       "7380      7381  23977756       17d    1121.0  17007424  2.942993e+06   \n",
       "7386      7387  23977740       17d     984.0  17007430  2.946059e+06   \n",
       "7403      7404  23977730       17d     923.0  17007447  2.948725e+06   \n",
       "\n",
       "        X_Centroid    Basin_Area  seg_hru_id    Elev_Avg  Lon_Centro  \\\n",
       "7341 -1.909476e+06  8.052212e+06    17003605  1216.66376  -121.34689   \n",
       "7342 -1.908705e+06  5.352517e+06    17003605  1120.52838  -121.33949   \n",
       "7380 -1.913681e+06  3.664245e+07    17003604  1098.19608  -121.40942   \n",
       "7386 -1.918558e+06  5.659188e+07    17003603   975.89110  -121.48177   \n",
       "7403 -1.924887e+06  3.216996e+07    17003602   932.27742  -121.57115   \n",
       "\n",
       "      Lat_Centro                                           geometry  \n",
       "7341    47.14868  POLYGON ((-121.3017482329586 47.14459738039864...  \n",
       "7342    47.15643  POLYGON ((-121.3015899656361 47.1452178951329,...  \n",
       "7380    47.16211  POLYGON ((-121.375434961942 47.17855680697091,...  \n",
       "7386    47.17717  POLYGON ((-121.455417933194 47.21600741638544,...  \n",
       "7403    47.18523  POLYGON ((-121.6086431045736 47.22415006191947...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summaout = xr.open_dataset(summaoutfile).set_index(hru = 'hruId')\n",
    "routeout = xr.open_dataset(routefile)\n",
    "\n",
    "#Polygon shapefile\n",
    "hrus = summaout['hru'].values\n",
    "polydat = lt.subShp(polyshp, 'hru_id2', hrus)\n",
    "\n",
    "#Reach shapefile\n",
    "reaches = routeout['reachID'].values\n",
    "segdat = lt.subShp(segshp, 'seg_id2', reaches)\n",
    "polydat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           pptrate\n",
      "hru               \n",
      "17007385  0.000050\n",
      "17007386  0.000050\n",
      "17007424  0.000048\n",
      "17007430  0.000043\n",
      "17007447  0.000031\n",
      "17007453  0.000038\n",
      "17007454  0.000030\n",
      "17007471  0.000031\n",
      "17007483  0.000057\n",
      "17007498  0.000044\n",
      "17007511  0.000035\n",
      "17007517  0.000028\n",
      "17007536  0.000032\n",
      "17007541  0.000032\n",
      "17007550  0.000032\n",
      "17007554  0.000034\n",
      "17007569  0.000040\n",
      "17007639  0.000058\n",
      "17009584  0.000051\n",
      "17009585  0.000053\n",
      "17009586  0.000052\n",
      "17009587  0.000048\n",
      "17009598  0.000047\n",
      "17009599  0.000043\n"
     ]
    }
   ],
   "source": [
    "#summaout.sel(time=slice('2011-01-01', '2011-01-01'))['pptrate'].to_dataframe()\n",
    "summasel = summaout.isel(time = 50)['pptrate'].drop('time').to_dataframe()\n",
    "print(summasel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Int64Index([17007385, 17007386, 17007424, 17007430, 17007447, 17007453,\n",
      "            17007454, 17007471, 17007483, 17007498, 17007511, 17007517,\n",
      "            17007536, 17007541, 17007550, 17007554, 17007569, 17007639,\n",
      "            17009584, 17009585, 17009586, 17009587, 17009598, 17009599],\n",
      "           dtype='int64', name='hru')\n"
     ]
    }
   ],
   "source": [
    "summasel['hru_id2'] = summasel.index\n",
    "print(summasel.index)\n",
    "polydat = pd.merge(polydat, summasel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>POI_ID</th>\n",
       "      <th>PROD_UNIT</th>\n",
       "      <th>hru_elev</th>\n",
       "      <th>hru_id2</th>\n",
       "      <th>Y_Centroid</th>\n",
       "      <th>X_Centroid</th>\n",
       "      <th>Basin_Area</th>\n",
       "      <th>seg_hru_id</th>\n",
       "      <th>Elev_Avg</th>\n",
       "      <th>Lon_Centro</th>\n",
       "      <th>Lat_Centro</th>\n",
       "      <th>geometry</th>\n",
       "      <th>pptrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7342</td>\n",
       "      <td>23977768</td>\n",
       "      <td>17d</td>\n",
       "      <td>1227.0</td>\n",
       "      <td>17007385</td>\n",
       "      <td>2.940304e+06</td>\n",
       "      <td>-1.909476e+06</td>\n",
       "      <td>8.052212e+06</td>\n",
       "      <td>17003605</td>\n",
       "      <td>1216.66376</td>\n",
       "      <td>-121.34689</td>\n",
       "      <td>47.14868</td>\n",
       "      <td>POLYGON ((-121.3017482329586 47.14459738039864...</td>\n",
       "      <td>0.000050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7343</td>\n",
       "      <td>23977768</td>\n",
       "      <td>17d</td>\n",
       "      <td>1111.0</td>\n",
       "      <td>17007386</td>\n",
       "      <td>2.940982e+06</td>\n",
       "      <td>-1.908705e+06</td>\n",
       "      <td>5.352517e+06</td>\n",
       "      <td>17003605</td>\n",
       "      <td>1120.52838</td>\n",
       "      <td>-121.33949</td>\n",
       "      <td>47.15643</td>\n",
       "      <td>POLYGON ((-121.3015899656361 47.1452178951329,...</td>\n",
       "      <td>0.000050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7381</td>\n",
       "      <td>23977756</td>\n",
       "      <td>17d</td>\n",
       "      <td>1121.0</td>\n",
       "      <td>17007424</td>\n",
       "      <td>2.942993e+06</td>\n",
       "      <td>-1.913681e+06</td>\n",
       "      <td>3.664245e+07</td>\n",
       "      <td>17003604</td>\n",
       "      <td>1098.19608</td>\n",
       "      <td>-121.40942</td>\n",
       "      <td>47.16211</td>\n",
       "      <td>POLYGON ((-121.375434961942 47.17855680697091,...</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7387</td>\n",
       "      <td>23977740</td>\n",
       "      <td>17d</td>\n",
       "      <td>984.0</td>\n",
       "      <td>17007430</td>\n",
       "      <td>2.946059e+06</td>\n",
       "      <td>-1.918558e+06</td>\n",
       "      <td>5.659188e+07</td>\n",
       "      <td>17003603</td>\n",
       "      <td>975.89110</td>\n",
       "      <td>-121.48177</td>\n",
       "      <td>47.17717</td>\n",
       "      <td>POLYGON ((-121.455417933194 47.21600741638544,...</td>\n",
       "      <td>0.000043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7404</td>\n",
       "      <td>23977730</td>\n",
       "      <td>17d</td>\n",
       "      <td>923.0</td>\n",
       "      <td>17007447</td>\n",
       "      <td>2.948725e+06</td>\n",
       "      <td>-1.924887e+06</td>\n",
       "      <td>3.216996e+07</td>\n",
       "      <td>17003602</td>\n",
       "      <td>932.27742</td>\n",
       "      <td>-121.57115</td>\n",
       "      <td>47.18523</td>\n",
       "      <td>POLYGON ((-121.6086431045736 47.22415006191947...</td>\n",
       "      <td>0.000031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7410</td>\n",
       "      <td>23977740</td>\n",
       "      <td>17d</td>\n",
       "      <td>809.0</td>\n",
       "      <td>17007453</td>\n",
       "      <td>2.951394e+06</td>\n",
       "      <td>-1.919127e+06</td>\n",
       "      <td>2.177730e+07</td>\n",
       "      <td>17003603</td>\n",
       "      <td>802.28759</td>\n",
       "      <td>-121.50753</td>\n",
       "      <td>47.22232</td>\n",
       "      <td>POLYGON ((-121.4578552246977 47.21700286868598...</td>\n",
       "      <td>0.000038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7411</td>\n",
       "      <td>23977730</td>\n",
       "      <td>17d</td>\n",
       "      <td>760.0</td>\n",
       "      <td>17007454</td>\n",
       "      <td>2.953063e+06</td>\n",
       "      <td>-1.922872e+06</td>\n",
       "      <td>1.178157e+07</td>\n",
       "      <td>17003602</td>\n",
       "      <td>780.45000</td>\n",
       "      <td>-121.56076</td>\n",
       "      <td>47.22788</td>\n",
       "      <td>POLYGON ((-121.5422592161292 47.2452011110234,...</td>\n",
       "      <td>0.000030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7428</td>\n",
       "      <td>23978240</td>\n",
       "      <td>17d</td>\n",
       "      <td>814.0</td>\n",
       "      <td>17007471</td>\n",
       "      <td>2.955141e+06</td>\n",
       "      <td>-1.923447e+06</td>\n",
       "      <td>8.449923e+06</td>\n",
       "      <td>17003617</td>\n",
       "      <td>818.86338</td>\n",
       "      <td>-121.57530</td>\n",
       "      <td>47.24461</td>\n",
       "      <td>POLYGON ((-121.5656500482353 47.26174870625182...</td>\n",
       "      <td>0.000031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7440</td>\n",
       "      <td>23977756</td>\n",
       "      <td>17d</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>17007483</td>\n",
       "      <td>2.950002e+06</td>\n",
       "      <td>-1.909806e+06</td>\n",
       "      <td>1.085061e+08</td>\n",
       "      <td>17003604</td>\n",
       "      <td>1016.66765</td>\n",
       "      <td>-121.38468</td>\n",
       "      <td>47.23251</td>\n",
       "      <td>(POLYGON ((-121.4554367071497 47.2160530091284...</td>\n",
       "      <td>0.000057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7455</td>\n",
       "      <td>23978240</td>\n",
       "      <td>17d</td>\n",
       "      <td>935.0</td>\n",
       "      <td>17007498</td>\n",
       "      <td>2.958579e+06</td>\n",
       "      <td>-1.924137e+06</td>\n",
       "      <td>2.668533e+07</td>\n",
       "      <td>17003617</td>\n",
       "      <td>914.27768</td>\n",
       "      <td>-121.59606</td>\n",
       "      <td>47.27293</td>\n",
       "      <td>POLYGON ((-121.5922546391271 47.30157852156275...</td>\n",
       "      <td>0.000044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>7468</td>\n",
       "      <td>23977694</td>\n",
       "      <td>17d</td>\n",
       "      <td>646.0</td>\n",
       "      <td>17007511</td>\n",
       "      <td>2.958252e+06</td>\n",
       "      <td>-1.931025e+06</td>\n",
       "      <td>4.945147e+07</td>\n",
       "      <td>17003601</td>\n",
       "      <td>639.85561</td>\n",
       "      <td>-121.68216</td>\n",
       "      <td>47.25347</td>\n",
       "      <td>POLYGON ((-121.70644378656 47.28941345242259, ...</td>\n",
       "      <td>0.000035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7474</td>\n",
       "      <td>23977694</td>\n",
       "      <td>17d</td>\n",
       "      <td>808.0</td>\n",
       "      <td>17007517</td>\n",
       "      <td>2.956332e+06</td>\n",
       "      <td>-1.936199e+06</td>\n",
       "      <td>9.297010e+07</td>\n",
       "      <td>17003601</td>\n",
       "      <td>806.84342</td>\n",
       "      <td>-121.74093</td>\n",
       "      <td>47.22423</td>\n",
       "      <td>POLYGON ((-121.8734359742008 47.2611007686647,...</td>\n",
       "      <td>0.000028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>7493</td>\n",
       "      <td>23977784</td>\n",
       "      <td>17d</td>\n",
       "      <td>449.0</td>\n",
       "      <td>17007536</td>\n",
       "      <td>2.963315e+06</td>\n",
       "      <td>-1.936565e+06</td>\n",
       "      <td>1.470041e+06</td>\n",
       "      <td>17003606</td>\n",
       "      <td>462.08333</td>\n",
       "      <td>-121.77010</td>\n",
       "      <td>47.28420</td>\n",
       "      <td>POLYGON ((-121.7653227160515 47.29196795997599...</td>\n",
       "      <td>0.000032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>7498</td>\n",
       "      <td>23977690</td>\n",
       "      <td>17d</td>\n",
       "      <td>398.0</td>\n",
       "      <td>17007541</td>\n",
       "      <td>2.962578e+06</td>\n",
       "      <td>-1.938154e+06</td>\n",
       "      <td>2.216038e+06</td>\n",
       "      <td>17003600</td>\n",
       "      <td>425.83158</td>\n",
       "      <td>-121.78762</td>\n",
       "      <td>47.27393</td>\n",
       "      <td>POLYGON ((-121.7702850105424 47.27419553365009...</td>\n",
       "      <td>0.000032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>7507</td>\n",
       "      <td>23977690</td>\n",
       "      <td>17d</td>\n",
       "      <td>470.0</td>\n",
       "      <td>17007550</td>\n",
       "      <td>2.963825e+06</td>\n",
       "      <td>-1.937903e+06</td>\n",
       "      <td>2.841958e+06</td>\n",
       "      <td>17003600</td>\n",
       "      <td>486.83197</td>\n",
       "      <td>-121.78884</td>\n",
       "      <td>47.28540</td>\n",
       "      <td>POLYGON ((-121.7985763552916 47.29658889776272...</td>\n",
       "      <td>0.000032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7511</td>\n",
       "      <td>23977784</td>\n",
       "      <td>17d</td>\n",
       "      <td>566.0</td>\n",
       "      <td>17007554</td>\n",
       "      <td>2.963181e+06</td>\n",
       "      <td>-1.935048e+06</td>\n",
       "      <td>6.046682e+06</td>\n",
       "      <td>17003606</td>\n",
       "      <td>577.27238</td>\n",
       "      <td>-121.75041</td>\n",
       "      <td>47.28671</td>\n",
       "      <td>(POLYGON ((-121.7702560421363 47.2741241455592...</td>\n",
       "      <td>0.000034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7526</td>\n",
       "      <td>23977788</td>\n",
       "      <td>17d</td>\n",
       "      <td>680.0</td>\n",
       "      <td>17007569</td>\n",
       "      <td>2.964655e+06</td>\n",
       "      <td>-1.933743e+06</td>\n",
       "      <td>1.164727e+07</td>\n",
       "      <td>17003607</td>\n",
       "      <td>680.99249</td>\n",
       "      <td>-121.73907</td>\n",
       "      <td>47.30272</td>\n",
       "      <td>POLYGON ((-121.7059628830501 47.30217770617632...</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>7596</td>\n",
       "      <td>23977788</td>\n",
       "      <td>17d</td>\n",
       "      <td>629.0</td>\n",
       "      <td>17007639</td>\n",
       "      <td>2.967752e+06</td>\n",
       "      <td>-1.936120e+06</td>\n",
       "      <td>3.908308e+07</td>\n",
       "      <td>17003607</td>\n",
       "      <td>669.88967</td>\n",
       "      <td>-121.78010</td>\n",
       "      <td>47.32395</td>\n",
       "      <td>POLYGON ((-121.7185974117603 47.34088897706316...</td>\n",
       "      <td>0.000058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9503</td>\n",
       "      <td>23978138</td>\n",
       "      <td>17d</td>\n",
       "      <td>931.0</td>\n",
       "      <td>17009584</td>\n",
       "      <td>2.957298e+06</td>\n",
       "      <td>-1.919243e+06</td>\n",
       "      <td>1.010920e+07</td>\n",
       "      <td>17003616</td>\n",
       "      <td>940.81040</td>\n",
       "      <td>-121.52957</td>\n",
       "      <td>47.27352</td>\n",
       "      <td>POLYGON ((-121.5432739261046 47.28553390493913...</td>\n",
       "      <td>0.000051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9504</td>\n",
       "      <td>23978270</td>\n",
       "      <td>17d</td>\n",
       "      <td>1049.0</td>\n",
       "      <td>17009585</td>\n",
       "      <td>2.952979e+06</td>\n",
       "      <td>-1.915120e+06</td>\n",
       "      <td>8.106053e+06</td>\n",
       "      <td>17003618</td>\n",
       "      <td>1004.80622</td>\n",
       "      <td>-121.46231</td>\n",
       "      <td>47.24574</td>\n",
       "      <td>POLYGON ((-121.4553414310386 47.21607111137853...</td>\n",
       "      <td>0.000053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9505</td>\n",
       "      <td>23978138</td>\n",
       "      <td>17d</td>\n",
       "      <td>1074.0</td>\n",
       "      <td>17009586</td>\n",
       "      <td>2.955342e+06</td>\n",
       "      <td>-1.918787e+06</td>\n",
       "      <td>1.216486e+07</td>\n",
       "      <td>17003616</td>\n",
       "      <td>1041.33269</td>\n",
       "      <td>-121.51698</td>\n",
       "      <td>47.25756</td>\n",
       "      <td>POLYGON ((-121.4884948728421 47.27536392245854...</td>\n",
       "      <td>0.000052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9506</td>\n",
       "      <td>23978270</td>\n",
       "      <td>17d</td>\n",
       "      <td>1054.0</td>\n",
       "      <td>17009587</td>\n",
       "      <td>2.952921e+06</td>\n",
       "      <td>-1.916599e+06</td>\n",
       "      <td>4.449815e+06</td>\n",
       "      <td>17003618</td>\n",
       "      <td>1007.80734</td>\n",
       "      <td>-121.48083</td>\n",
       "      <td>47.24169</td>\n",
       "      <td>POLYGON ((-121.4801864625753 47.25864410433593...</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9517</td>\n",
       "      <td>23977798</td>\n",
       "      <td>17d</td>\n",
       "      <td>1032.0</td>\n",
       "      <td>17009598</td>\n",
       "      <td>2.960818e+06</td>\n",
       "      <td>-1.928357e+06</td>\n",
       "      <td>1.080081e+07</td>\n",
       "      <td>17003608</td>\n",
       "      <td>1020.42177</td>\n",
       "      <td>-121.65736</td>\n",
       "      <td>47.28229</td>\n",
       "      <td>POLYGON ((-121.6495208739248 47.29744720452685...</td>\n",
       "      <td>0.000047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9518</td>\n",
       "      <td>23977798</td>\n",
       "      <td>17d</td>\n",
       "      <td>925.0</td>\n",
       "      <td>17009599</td>\n",
       "      <td>2.962845e+06</td>\n",
       "      <td>-1.929731e+06</td>\n",
       "      <td>8.953929e+06</td>\n",
       "      <td>17003608</td>\n",
       "      <td>927.93251</td>\n",
       "      <td>-121.68188</td>\n",
       "      <td>47.29663</td>\n",
       "      <td>POLYGON ((-121.6810684197537 47.31481170646001...</td>\n",
       "      <td>0.000043</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    OBJECTID    POI_ID PROD_UNIT  hru_elev   hru_id2    Y_Centroid  \\\n",
       "0       7342  23977768       17d    1227.0  17007385  2.940304e+06   \n",
       "1       7343  23977768       17d    1111.0  17007386  2.940982e+06   \n",
       "2       7381  23977756       17d    1121.0  17007424  2.942993e+06   \n",
       "3       7387  23977740       17d     984.0  17007430  2.946059e+06   \n",
       "4       7404  23977730       17d     923.0  17007447  2.948725e+06   \n",
       "5       7410  23977740       17d     809.0  17007453  2.951394e+06   \n",
       "6       7411  23977730       17d     760.0  17007454  2.953063e+06   \n",
       "7       7428  23978240       17d     814.0  17007471  2.955141e+06   \n",
       "8       7440  23977756       17d    1044.0  17007483  2.950002e+06   \n",
       "9       7455  23978240       17d     935.0  17007498  2.958579e+06   \n",
       "10      7468  23977694       17d     646.0  17007511  2.958252e+06   \n",
       "11      7474  23977694       17d     808.0  17007517  2.956332e+06   \n",
       "12      7493  23977784       17d     449.0  17007536  2.963315e+06   \n",
       "13      7498  23977690       17d     398.0  17007541  2.962578e+06   \n",
       "14      7507  23977690       17d     470.0  17007550  2.963825e+06   \n",
       "15      7511  23977784       17d     566.0  17007554  2.963181e+06   \n",
       "16      7526  23977788       17d     680.0  17007569  2.964655e+06   \n",
       "17      7596  23977788       17d     629.0  17007639  2.967752e+06   \n",
       "18      9503  23978138       17d     931.0  17009584  2.957298e+06   \n",
       "19      9504  23978270       17d    1049.0  17009585  2.952979e+06   \n",
       "20      9505  23978138       17d    1074.0  17009586  2.955342e+06   \n",
       "21      9506  23978270       17d    1054.0  17009587  2.952921e+06   \n",
       "22      9517  23977798       17d    1032.0  17009598  2.960818e+06   \n",
       "23      9518  23977798       17d     925.0  17009599  2.962845e+06   \n",
       "\n",
       "      X_Centroid    Basin_Area  seg_hru_id    Elev_Avg  Lon_Centro  \\\n",
       "0  -1.909476e+06  8.052212e+06    17003605  1216.66376  -121.34689   \n",
       "1  -1.908705e+06  5.352517e+06    17003605  1120.52838  -121.33949   \n",
       "2  -1.913681e+06  3.664245e+07    17003604  1098.19608  -121.40942   \n",
       "3  -1.918558e+06  5.659188e+07    17003603   975.89110  -121.48177   \n",
       "4  -1.924887e+06  3.216996e+07    17003602   932.27742  -121.57115   \n",
       "5  -1.919127e+06  2.177730e+07    17003603   802.28759  -121.50753   \n",
       "6  -1.922872e+06  1.178157e+07    17003602   780.45000  -121.56076   \n",
       "7  -1.923447e+06  8.449923e+06    17003617   818.86338  -121.57530   \n",
       "8  -1.909806e+06  1.085061e+08    17003604  1016.66765  -121.38468   \n",
       "9  -1.924137e+06  2.668533e+07    17003617   914.27768  -121.59606   \n",
       "10 -1.931025e+06  4.945147e+07    17003601   639.85561  -121.68216   \n",
       "11 -1.936199e+06  9.297010e+07    17003601   806.84342  -121.74093   \n",
       "12 -1.936565e+06  1.470041e+06    17003606   462.08333  -121.77010   \n",
       "13 -1.938154e+06  2.216038e+06    17003600   425.83158  -121.78762   \n",
       "14 -1.937903e+06  2.841958e+06    17003600   486.83197  -121.78884   \n",
       "15 -1.935048e+06  6.046682e+06    17003606   577.27238  -121.75041   \n",
       "16 -1.933743e+06  1.164727e+07    17003607   680.99249  -121.73907   \n",
       "17 -1.936120e+06  3.908308e+07    17003607   669.88967  -121.78010   \n",
       "18 -1.919243e+06  1.010920e+07    17003616   940.81040  -121.52957   \n",
       "19 -1.915120e+06  8.106053e+06    17003618  1004.80622  -121.46231   \n",
       "20 -1.918787e+06  1.216486e+07    17003616  1041.33269  -121.51698   \n",
       "21 -1.916599e+06  4.449815e+06    17003618  1007.80734  -121.48083   \n",
       "22 -1.928357e+06  1.080081e+07    17003608  1020.42177  -121.65736   \n",
       "23 -1.929731e+06  8.953929e+06    17003608   927.93251  -121.68188   \n",
       "\n",
       "    Lat_Centro                                           geometry   pptrate  \n",
       "0     47.14868  POLYGON ((-121.3017482329586 47.14459738039864...  0.000050  \n",
       "1     47.15643  POLYGON ((-121.3015899656361 47.1452178951329,...  0.000050  \n",
       "2     47.16211  POLYGON ((-121.375434961942 47.17855680697091,...  0.000048  \n",
       "3     47.17717  POLYGON ((-121.455417933194 47.21600741638544,...  0.000043  \n",
       "4     47.18523  POLYGON ((-121.6086431045736 47.22415006191947...  0.000031  \n",
       "5     47.22232  POLYGON ((-121.4578552246977 47.21700286868598...  0.000038  \n",
       "6     47.22788  POLYGON ((-121.5422592161292 47.2452011110234,...  0.000030  \n",
       "7     47.24461  POLYGON ((-121.5656500482353 47.26174870625182...  0.000031  \n",
       "8     47.23251  (POLYGON ((-121.4554367071497 47.2160530091284...  0.000057  \n",
       "9     47.27293  POLYGON ((-121.5922546391271 47.30157852156275...  0.000044  \n",
       "10    47.25347  POLYGON ((-121.70644378656 47.28941345242259, ...  0.000035  \n",
       "11    47.22423  POLYGON ((-121.8734359742008 47.2611007686647,...  0.000028  \n",
       "12    47.28420  POLYGON ((-121.7653227160515 47.29196795997599...  0.000032  \n",
       "13    47.27393  POLYGON ((-121.7702850105424 47.27419553365009...  0.000032  \n",
       "14    47.28540  POLYGON ((-121.7985763552916 47.29658889776272...  0.000032  \n",
       "15    47.28671  (POLYGON ((-121.7702560421363 47.2741241455592...  0.000034  \n",
       "16    47.30272  POLYGON ((-121.7059628830501 47.30217770617632...  0.000040  \n",
       "17    47.32395  POLYGON ((-121.7185974117603 47.34088897706316...  0.000058  \n",
       "18    47.27352  POLYGON ((-121.5432739261046 47.28553390493913...  0.000051  \n",
       "19    47.24574  POLYGON ((-121.4553414310386 47.21607111137853...  0.000053  \n",
       "20    47.25756  POLYGON ((-121.4884948728421 47.27536392245854...  0.000052  \n",
       "21    47.24169  POLYGON ((-121.4801864625753 47.25864410433593...  0.000048  \n",
       "22    47.28229  POLYGON ((-121.6495208739248 47.29744720452685...  0.000047  \n",
       "23    47.29663  POLYGON ((-121.6810684197537 47.31481170646001...  0.000043  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polydat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffef8026940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(10, 10))\n",
    "ax.set_title('Precipitation (mm/h)')\n",
    "polydat.plot(ax = ax, column = 'pptrate', cmap='OrRd', scheme='fisher_jenks', label='name')\n",
    "#ax.legend()\n",
    "segdat.plot(ax = ax)\n",
    "ax.grid(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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