hydroswot_subset_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(style='darkgrid')\n",
    "\n",
    "from utils import scatter_plot\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(223022, 75)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading HYDRoSWOT dataset \n",
    "hydroswot = pd.read_csv('dataset/SWOT_ADCP_Dataset.csv', converters={'site_no': str}, low_memory=False)\n",
    "hydroswot.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dataset size: (55231, 75)\n"
     ]
    }
   ],
   "source": [
    "# Select desired variables and exlcude any zero/non values\n",
    "candidate_columns=['site_no', 'site_tp_cd', 'q_va', 'stream_wdth_va', 'xsec_area_va', 'mean_depth_va', 'max_depth_va']\n",
    "\n",
    "hydroswot_subset = hydroswot[(hydroswot[candidate_columns] != 0).all(axis=1)]\n",
    "hydroswot_subset = hydroswot_subset.dropna(axis=0, how='any', subset=candidate_columns)\n",
    "print(f\"dataset size: {hydroswot_subset.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49022, 75)\n"
     ]
    }
   ],
   "source": [
    "# Exclude USGS sites with negative discharge observations\n",
    "hydroswot_subset = hydroswot_subset[hydroswot_subset.groupby('site_no')['q_va'].transform(lambda x: (x<0).sum()) == 0]\n",
    "print(hydroswot_subset.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(47522, 75)\n"
     ]
    }
   ],
   "source": [
    "# Keep only sites categorized as channels or streams\n",
    "hydroswot_subset = hydroswot_subset[hydroswot_subset['site_tp_cd'].isin(['ST'])]\n",
    "print(hydroswot_subset.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "site locations with positive discharge: \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    5914.000000\n",
       "mean        8.035509\n",
       "std        10.050780\n",
       "min         1.000000\n",
       "25%         2.000000\n",
       "50%         4.000000\n",
       "75%        11.000000\n",
       "max       159.000000\n",
       "Name: count, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reset DataFrame index and print the statistics of the unique USGS sites \n",
    "hydroswot_subset.reset_index(drop=True, inplace=True)\n",
    "\n",
    "print(\"site locations with positive discharge: \")\n",
    "hydroswot_subset['site_no'].value_counts().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>q_va</th>\n",
       "      <th>stream_wdth_va</th>\n",
       "      <th>xsec_area_va</th>\n",
       "      <th>mean_depth_va</th>\n",
       "      <th>max_depth_va</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.752200e+04</td>\n",
       "      <td>47522.000000</td>\n",
       "      <td>47522.000000</td>\n",
       "      <td>47522.000000</td>\n",
       "      <td>47522.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.100066e+04</td>\n",
       "      <td>239.193869</td>\n",
       "      <td>3431.116848</td>\n",
       "      <td>6.682162</td>\n",
       "      <td>9.857616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.903527e+04</td>\n",
       "      <td>397.990026</td>\n",
       "      <td>14575.380645</td>\n",
       "      <td>7.269928</td>\n",
       "      <td>10.752993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.300000e-02</td>\n",
       "      <td>2.550000</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.680000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.391915e+02</td>\n",
       "      <td>69.230000</td>\n",
       "      <td>195.000250</td>\n",
       "      <td>2.677000</td>\n",
       "      <td>4.085000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.000850e+02</td>\n",
       "      <td>122.638000</td>\n",
       "      <td>529.430000</td>\n",
       "      <td>4.460000</td>\n",
       "      <td>6.791000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.128004e+03</td>\n",
       "      <td>244.187250</td>\n",
       "      <td>1585.674250</td>\n",
       "      <td>7.842750</td>\n",
       "      <td>11.407000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.257500e+06</td>\n",
       "      <td>16361.950000</td>\n",
       "      <td>357000.000000</td>\n",
       "      <td>118.770000</td>\n",
       "      <td>205.670000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               q_va  stream_wdth_va   xsec_area_va  mean_depth_va  \\\n",
       "count  4.752200e+04    47522.000000   47522.000000   47522.000000   \n",
       "mean   1.100066e+04      239.193869    3431.116848       6.682162   \n",
       "std    5.903527e+04      397.990026   14575.380645       7.269928   \n",
       "min    5.300000e-02        2.550000       1.080000       0.520000   \n",
       "25%    2.391915e+02       69.230000     195.000250       2.677000   \n",
       "50%    8.000850e+02      122.638000     529.430000       4.460000   \n",
       "75%    3.128004e+03      244.187250    1585.674250       7.842750   \n",
       "max    2.257500e+06    16361.950000  357000.000000     118.770000   \n",
       "\n",
       "       max_depth_va  \n",
       "count  47522.000000  \n",
       "mean       9.857616  \n",
       "std       10.752993  \n",
       "min        0.680000  \n",
       "25%        4.085000  \n",
       "50%        6.791000  \n",
       "75%       11.407000  \n",
       "max      205.670000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print the statistics of all variables\n",
    "hydroswot_subset[candidate_columns].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "site locations with minimum of 50 observations: \n",
      "Number of observations: (2285, 75)\n",
      "Number of sites:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count     26.000000\n",
       "mean      87.884615\n",
       "std       37.913931\n",
       "min       50.000000\n",
       "25%       56.250000\n",
       "50%       69.500000\n",
       "75%      125.250000\n",
       "max      159.000000\n",
       "Name: count, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hydroswot_site_list = hydroswot_subset['site_no'].value_counts()\n",
    "hydroswot_subset_stat = hydroswot_subset[hydroswot_subset[\"site_no\"].isin(hydroswot_site_list.index[hydroswot_site_list>=50].to_list())]\n",
    "\n",
    "print(\"site locations with minimum of 50 observations: \")\n",
    "print(f'Number of observations: {hydroswot_subset_stat.shape}')\n",
    "print('Number of sites:')\n",
    "hydroswot_subset_stat['site_no'].value_counts().describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluation of maximum depth model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slope: 1.4791\n",
      "Intercept: -0.0260 (Imperial)       -0.0079 (SI)\n"
     ]
    }
   ],
   "source": [
    "# Imperial unit\n",
    "x = (hydroswot_subset['mean_depth_va']).to_numpy()\n",
    "y = (hydroswot_subset['max_depth_va']).to_numpy()\n",
    "\n",
    "# Convert the variable units into SI\n",
    "x_si = (hydroswot_subset['mean_depth_va']*0.3048).to_numpy()\n",
    "y_si = (hydroswot_subset['max_depth_va']*0.3048).to_numpy()\n",
    "\n",
    "# Estimate the model parameters\n",
    "print(f'Slope: {np.std(y) / np.std(x):.4f}')\n",
    "print(f'Intercept: {np.mean(y) - (np.std(y) / np.std(x)) * np.mean(x):.4f} (Imperial) \\\n",
    "      {np.mean(y_si) - (np.std(y_si) / np.std(x_si)) * np.mean(x_si):.4f} (SI)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test size: (47522,), pred size: (47522,)\n",
      "NSE: 0.9375, r: 0.9688, PBias: -2.95E-14, RMSE: 2.6879\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate max depth model outputs and plot agains GTs\n",
    "y_pred = (np.std(y) / np.std(x) * x) + (np.mean(y) - (np.std(y) / np.std(x)) * np.mean(x))\n",
    "scatter_plot(y, y_pred, model_name='depth-max')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluation of minimum depth model (Mean Value Theorem for Integrals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test size: (47522,), pred size: (47522,)\n",
      "NSE: 0.7579, r: 0.8942, PBias: -3.34E+00, RMSE: 1.0902\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate mean depth model outputs and plot agains GTs\n",
    "gt    = (hydroswot_subset['mean_depth_va']*0.3048).to_numpy()\n",
    "model = ((hydroswot_subset['xsec_area_va'] / hydroswot_subset['stream_wdth_va'])*0.3048).to_numpy()\n",
    "\n",
    "scatter_plot(gt, model, yax1_name='Mean Depth (m)', log_mode=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9218       13032500\n",
       "43776    1220070360\n",
       "Name: site_no, dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the outliers generated by the model\n",
    "idx = hydroswot_subset['xsec_area_va'] / hydroswot_subset['stream_wdth_va']\n",
    "\n",
    "hydroswot_outliers = hydroswot_subset[idx > 150]\n",
    "hydroswot_outliers['site_no']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Site number `1220070360` has two measurements. In the Second measurement `stream width` has typo. It should be in the order of 300 to 400. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>site_no</th>\n",
       "      <th>site_tp_cd</th>\n",
       "      <th>q_va</th>\n",
       "      <th>stream_wdth_va</th>\n",
       "      <th>xsec_area_va</th>\n",
       "      <th>mean_depth_va</th>\n",
       "      <th>max_depth_va</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43775</th>\n",
       "      <td>1220070360</td>\n",
       "      <td>ST</td>\n",
       "      <td>9230.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>3690.0</td>\n",
       "      <td>12.3</td>\n",
       "      <td>16.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43776</th>\n",
       "      <td>1220070360</td>\n",
       "      <td>ST</td>\n",
       "      <td>9350.0</td>\n",
       "      <td>4.89</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>12.4</td>\n",
       "      <td>17.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          site_no site_tp_cd    q_va  stream_wdth_va  xsec_area_va  \\\n",
       "43775  1220070360         ST  9230.0          300.00        3690.0   \n",
       "43776  1220070360         ST  9350.0            4.89        3700.0   \n",
       "\n",
       "       mean_depth_va  max_depth_va  \n",
       "43775           12.3          16.9  \n",
       "43776           12.4          17.8  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hydroswot_subset[(hydroswot_subset['site_no'] == '1220070360')][candidate_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Site number `13032500` has two measurements. In the Second measurement `stream width` has typo. It should be in the order of 200 to 300. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\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>site_no</th>\n",
       "      <th>site_tp_cd</th>\n",
       "      <th>q_va</th>\n",
       "      <th>stream_wdth_va</th>\n",
       "      <th>xsec_area_va</th>\n",
       "      <th>mean_depth_va</th>\n",
       "      <th>max_depth_va</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9196</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>10617.781</td>\n",
       "      <td>332.347</td>\n",
       "      <td>1744.024</td>\n",
       "      <td>4.950000</td>\n",
       "      <td>7.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9197</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>13307.690</td>\n",
       "      <td>344.690</td>\n",
       "      <td>2071.249</td>\n",
       "      <td>5.520000</td>\n",
       "      <td>7.800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9198</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>749.395</td>\n",
       "      <td>252.256</td>\n",
       "      <td>399.221</td>\n",
       "      <td>1.770000</td>\n",
       "      <td>2.477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9199</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>3524.033</td>\n",
       "      <td>308.553</td>\n",
       "      <td>942.943</td>\n",
       "      <td>3.056016</td>\n",
       "      <td>4.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9200</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>10003.091</td>\n",
       "      <td>342.139</td>\n",
       "      <td>1815.069</td>\n",
       "      <td>5.305063</td>\n",
       "      <td>7.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9201</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>10007.576</td>\n",
       "      <td>335.696</td>\n",
       "      <td>1813.309</td>\n",
       "      <td>5.354000</td>\n",
       "      <td>7.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9202</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>895.121</td>\n",
       "      <td>252.548</td>\n",
       "      <td>465.172</td>\n",
       "      <td>1.841915</td>\n",
       "      <td>3.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9203</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>14500.627</td>\n",
       "      <td>342.652</td>\n",
       "      <td>2100.718</td>\n",
       "      <td>5.750000</td>\n",
       "      <td>8.250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9204</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>1394.470</td>\n",
       "      <td>263.268</td>\n",
       "      <td>544.583</td>\n",
       "      <td>2.211000</td>\n",
       "      <td>3.048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9205</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>1011.200</td>\n",
       "      <td>260.253</td>\n",
       "      <td>477.825</td>\n",
       "      <td>2.054000</td>\n",
       "      <td>2.831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9206</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>10600.863</td>\n",
       "      <td>346.967</td>\n",
       "      <td>1892.806</td>\n",
       "      <td>5.215000</td>\n",
       "      <td>7.349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9207</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>23239.231</td>\n",
       "      <td>347.067</td>\n",
       "      <td>2909.555</td>\n",
       "      <td>7.861000</td>\n",
       "      <td>10.305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9208</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>23249.480</td>\n",
       "      <td>348.570</td>\n",
       "      <td>2952.510</td>\n",
       "      <td>8.470000</td>\n",
       "      <td>11.122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9209</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>18090.853</td>\n",
       "      <td>339.680</td>\n",
       "      <td>2560.730</td>\n",
       "      <td>7.540000</td>\n",
       "      <td>9.593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9210</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>2290.415</td>\n",
       "      <td>297.050</td>\n",
       "      <td>711.800</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>3.665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9211</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>2264.780</td>\n",
       "      <td>294.380</td>\n",
       "      <td>711.740</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>3.561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9212</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>874.249</td>\n",
       "      <td>239.540</td>\n",
       "      <td>414.690</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>2.709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9213</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>3854.073</td>\n",
       "      <td>312.920</td>\n",
       "      <td>992.090</td>\n",
       "      <td>3.170000</td>\n",
       "      <td>4.532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9214</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>8490.000</td>\n",
       "      <td>336.000</td>\n",
       "      <td>1650.000</td>\n",
       "      <td>4.920000</td>\n",
       "      <td>6.640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9215</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>12500.000</td>\n",
       "      <td>330.000</td>\n",
       "      <td>2010.000</td>\n",
       "      <td>6.080000</td>\n",
       "      <td>7.820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9216</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>2197.616</td>\n",
       "      <td>300.800</td>\n",
       "      <td>691.190</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>3.524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9217</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>923.230</td>\n",
       "      <td>248.830</td>\n",
       "      <td>422.670</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>2.716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9218</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>819.000</td>\n",
       "      <td>2.550</td>\n",
       "      <td>402.000</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>2.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9219</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>1360.000</td>\n",
       "      <td>260.000</td>\n",
       "      <td>535.000</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>3.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9220</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>1700.000</td>\n",
       "      <td>280.000</td>\n",
       "      <td>604.000</td>\n",
       "      <td>2.160000</td>\n",
       "      <td>3.240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9221</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>2440.000</td>\n",
       "      <td>291.000</td>\n",
       "      <td>760.000</td>\n",
       "      <td>2.610000</td>\n",
       "      <td>3.890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9222</th>\n",
       "      <td>13032500</td>\n",
       "      <td>ST</td>\n",
       "      <td>5590.000</td>\n",
       "      <td>309.000</td>\n",
       "      <td>1210.000</td>\n",
       "      <td>3.930000</td>\n",
       "      <td>5.730</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       site_no site_tp_cd       q_va  stream_wdth_va  xsec_area_va  \\\n",
       "9196  13032500         ST  10617.781         332.347      1744.024   \n",
       "9197  13032500         ST  13307.690         344.690      2071.249   \n",
       "9198  13032500         ST    749.395         252.256       399.221   \n",
       "9199  13032500         ST   3524.033         308.553       942.943   \n",
       "9200  13032500         ST  10003.091         342.139      1815.069   \n",
       "9201  13032500         ST  10007.576         335.696      1813.309   \n",
       "9202  13032500         ST    895.121         252.548       465.172   \n",
       "9203  13032500         ST  14500.627         342.652      2100.718   \n",
       "9204  13032500         ST   1394.470         263.268       544.583   \n",
       "9205  13032500         ST   1011.200         260.253       477.825   \n",
       "9206  13032500         ST  10600.863         346.967      1892.806   \n",
       "9207  13032500         ST  23239.231         347.067      2909.555   \n",
       "9208  13032500         ST  23249.480         348.570      2952.510   \n",
       "9209  13032500         ST  18090.853         339.680      2560.730   \n",
       "9210  13032500         ST   2290.415         297.050       711.800   \n",
       "9211  13032500         ST   2264.780         294.380       711.740   \n",
       "9212  13032500         ST    874.249         239.540       414.690   \n",
       "9213  13032500         ST   3854.073         312.920       992.090   \n",
       "9214  13032500         ST   8490.000         336.000      1650.000   \n",
       "9215  13032500         ST  12500.000         330.000      2010.000   \n",
       "9216  13032500         ST   2197.616         300.800       691.190   \n",
       "9217  13032500         ST    923.230         248.830       422.670   \n",
       "9218  13032500         ST    819.000           2.550       402.000   \n",
       "9219  13032500         ST   1360.000         260.000       535.000   \n",
       "9220  13032500         ST   1700.000         280.000       604.000   \n",
       "9221  13032500         ST   2440.000         291.000       760.000   \n",
       "9222  13032500         ST   5590.000         309.000      1210.000   \n",
       "\n",
       "      mean_depth_va  max_depth_va  \n",
       "9196       4.950000         7.100  \n",
       "9197       5.520000         7.800  \n",
       "9198       1.770000         2.477  \n",
       "9199       3.056016         4.551  \n",
       "9200       5.305063         7.093  \n",
       "9201       5.354000         7.198  \n",
       "9202       1.841915         3.625  \n",
       "9203       5.750000         8.250  \n",
       "9204       2.211000         3.048  \n",
       "9205       2.054000         2.831  \n",
       "9206       5.215000         7.349  \n",
       "9207       7.861000        10.305  \n",
       "9208       8.470000        11.122  \n",
       "9209       7.540000         9.593  \n",
       "9210       2.400000         3.665  \n",
       "9211       2.420000         3.561  \n",
       "9212       1.730000         2.709  \n",
       "9213       3.170000         4.532  \n",
       "9214       4.920000         6.640  \n",
       "9215       6.080000         7.820  \n",
       "9216       2.300000         3.524  \n",
       "9217       1.700000         2.716  \n",
       "9218       1.580000         2.600  \n",
       "9219       2.060000         3.060  \n",
       "9220       2.160000         3.240  \n",
       "9221       2.610000         3.890  \n",
       "9222       3.930000         5.730  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hydroswot_subset[(hydroswot_subset['site_no'] == '13032500')][candidate_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep the measurements within a 99% confidence interval (exclude the outliers)\n",
    "idx = hydroswot_subset['xsec_area_va'] / hydroswot_subset['stream_wdth_va'] - hydroswot_subset['mean_depth_va']\n",
    "\n",
    "pct = 0.005\n",
    "hydroswot_subset = hydroswot_subset[(idx > idx.quantile(pct)) & (idx < idx.quantile(1-pct))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test size: (47046,), pred size: (47046,)\n",
      "NSE: 0.9936, r: 0.9974, PBias: -3.46E+00, RMSE: 0.1682\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gt    = (hydroswot_subset['mean_depth_va']*0.3048).to_numpy()\n",
    "model = ((hydroswot_subset['xsec_area_va'] / hydroswot_subset['stream_wdth_va'])*0.3048).to_numpy()\n",
    "\n",
    "scatter_plot(gt, model, yax1_name='Mean Depth (m)', log_mode=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}