AJMR-Python-Baird/NTC_DFM/EFDC_compare.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# -*- coding: utf-8 -*-\n",
"\"\"\"\n",
"@author: AJMR\n",
"\n",
"Script to compare EFDC results against observations\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"pycharm": {
"name": "#%% Import\n"
}
},
"outputs": [],
"source": [
"import os\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as mdates\n",
"import numpy as np\n",
"import geopandas as gp\n",
"gp.io.file.fiona.drvsupport.supported_drivers['KML'] = 'rw'\n",
"from shapely.ops import nearest_points\n",
"from shapely.geometry import LineString\n",
"\n",
"from shapely.geometry import Point, MultiPoint\n",
"from shapely.ops import nearest_points\n",
"\n",
"from datetime import datetime, timedelta\n",
"\n",
"\n",
"from dfm_tools.get_nc import get_netdata, get_ncmodeldata, plot_netmapdata\n",
"from dfm_tools.get_nc_helpers import get_timesfromnc\n",
"from dfm_tools.regulargrid import scatter_to_regulargrid\n",
"from pathlib import Path\n",
"import netCDF4 as nc\n",
"\n",
"import xarray as xr\n",
"import pytz\n",
"import pathlib as pl"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"pycharm": {
"name": "#%% Function to find nearest point\n"
}
},
"outputs": [],
"source": [
"def get_nearest_values(row, other_gdf, point_column='geometry', value_column=\"geometry\"):\n",
" \"\"\"Find the nearest point and return the corresponding value from specified value column.\"\"\"\n",
"\n",
" # Create an union of the other GeoDataFrame's geometries:\n",
" other_points = other_gdf[\"geometry\"].unary_union\n",
"\n",
" # Find the nearest points\n",
" nearest_geoms = nearest_points(row[point_column], other_points)\n",
"\n",
" # Get corresponding values from the other df\n",
" nearest_data = other_gdf.loc[other_gdf[\"geometry\"] == nearest_geoms[1]]\n",
"\n",
" nearest_value = nearest_data[value_column].get_values()[0]\n",
"\n",
" return nearest_value\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"pycharm": {
"name": "#%% Load in Water Level Data\n"
}
},
"outputs": [],
"source": [
"# Gauge Locations from map\n",
"# gdf_gaugeLoc = gp.read_file('//srv-ott3/Projects/11934.201 Newtown Creek TPP Privileged and Confidential/03_Data/02_Physical/NTC6.kml')\n",
"gdf_gaugeLoc = gp.read_file('//srv-ott3.baird.com/Projects/11934.201 Newtown Creek TPP Privileged and Confidential/03_Data/02_Physical/NTC6.kml')\n",
"gdf_gaugeLocUSSP = gdf_gaugeLoc.to_crs(\"EPSG:32118\")\n",
"\n",
"# All in Feet NAVD88\n",
"# df_wl_FFG = pd.read_excel('//srv-ott3/Projects/11934.201 Newtown Creek TPP Privileged and Confidential/03_Data/02_Physical/04 Gauge Data/NCP1_Gauge_Elev_Data_20130521/NC_Gauge_Elev_Data_20130521.xlsx',\n",
"df_wl_FFG = pd.read_excel('//srv-ott3.baird.com/Projects/11934.201 Newtown Creek TPP Privileged and Confidential/03_Data/02_Physical/04 Gauge Data/NCP1_Gauge_Elev_Data_20130521/NC_Gauge_Elev_Data_20130521.xlsx',\n",
" sheet_name='Field_Facility_Gauge')\n",
"df_wl_FFG.set_index('Date_time', inplace=True)\n",
"df_wl_FFG.index = df_wl_FFG.index.tz_localize(\n",
" pytz.timezone('America/New_York')).tz_convert(pytz.utc) #Convert to UTC\n",
"\n",
"gdf_wl_FFG = gp.GeoDataFrame(df_wl_FFG,\n",
" geometry=gp.points_from_xy(np.ones([len(df_wl_FFG), 1]) * gdf_gaugeLoc['geometry'].x[2],\n",
" np.ones([len(df_wl_FFG), 1]) * gdf_gaugeLoc['geometry'].y[2]), crs=\"EPSG:4326\")\n",
"gdf_wl_FFG.geometry = gdf_wl_FFG.geometry.to_crs(\"EPSG:32118\")\n",
"\n",
"\n",
"df_wl_NGG1 = pd.read_excel('//srv-ott3.baird.com/Projects/11934.201 Newtown Creek TPP Privileged and Confidential/03_Data/02_Physical/04 Gauge Data/NCP1_Gauge_Elev_Data_20130521/NC_Gauge_Elev_Data_20130521.xlsx',\n",
" sheet_name='National_Grid_Gauge')\n",
"df_wl_NGG1.set_index('Date_time', inplace=True)\n",
"df_wl_NGG1.index = df_wl_NGG1.index.tz_localize(\n",
" pytz.timezone('America/New_York'), ambiguous=True).tz_convert(pytz.utc) #Convert to UTC\n",
"\n",
"gdf_wl_NGG1 = gp.GeoDataFrame(df_wl_NGG1,\n",
" geometry=gp.points_from_xy(np.ones([len(df_wl_NGG1), 1]) * gdf_gaugeLoc['geometry'].x[3],\n",
" np.ones([len(df_wl_NGG1), 1]) * gdf_gaugeLoc['geometry'].y[3]), crs=\"EPSG:4326\")\n",
"gdf_wl_NGG1.geometry = gdf_wl_NGG1.geometry.to_crs(\"EPSG:32118\")\n",
"\n",
"\n",
"# Also includes temperature\n",
"df_wl_NGG2 = pd.read_excel('//srv-ott3.baird.com/Projects/11934.201 Newtown Creek TPP Privileged and Confidential/03_Data/02_Physical/04 Gauge Data/NCP2_NG_TideGauge_20160113/NCP2_NG_TideGauge_20160113.xlsx',\n",
" sheet_name='Sheet1')\n",
"gdf_wl_NGG2 = gp.GeoDataFrame(df_wl_NGG2,\n",
" geometry=gp.points_from_xy(np.ones([len(df_wl_NGG2), 1]) * gdf_gaugeLoc['geometry'].x[3],\n",
" np.ones([len(df_wl_NGG2), 1]) * gdf_gaugeLoc['geometry'].y[3]), crs=\"EPSG:4326\")\n",
"gdf_wl_NGG2.geometry = gdf_wl_NGG2.geometry.to_crs(\"EPSG:32118\")\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"pycharm": {
"name": "#%% Read in EFDC Data to dataframe\n"
}
},
"outputs": [],
"source": [
"# efdc6_df = pd.read_csv('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/2012_Mon6/READ_FROM_EFDC_GRAPHICS_OUT_BIN.CSV')\n",
"# efdc7_df = pd.read_csv('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/2012_Mon7/READ_FROM_EFDC_GRAPHICS_OUT_BIN.CSV')\n",
"# efdc8_df = pd.read_csv('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/2012_Mon8/READ_FROM_EFDC_GRAPHICS_OUT_BIN.CSV')\n",
"# efdc9_df = pd.read_csv('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/2012_Mon9/READ_FROM_EFDC_GRAPHICS_OUT_BIN.CSV')\n",
"\n",
"efdc12_df = pd.read_csv('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/2012_Mon12/READ_FROM_EFDC_GRAPHICS_OUT_BIN.CSV')\n"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"pycharm": {
"name": "#%% Read in EFDC grid\n"
}
},
"outputs": [],
"source": [
"efdc_grid_df = pd.read_csv('//Ott-flavius/j/INPUT_FILES/GRID_FILES/NC_ER_lxly_20140129.inp',\n",
" delim_whitespace=True, skiprows=4,\n",
" names=['I', 'J', 'X', 'Y', 'CUE', 'CVE', 'CUN', 'CVN'])\n",
"\n",
"efdc_grid_gdf = gp.GeoDataFrame(\n",
" efdc_grid_df, geometry=gp.points_from_xy(efdc_grid_df.X, efdc_grid_df.Y), crs=\"EPSG:32118\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"pycharm": {
"name": "#%% Merge EFDC outputs with grid locations and add datetimes\n"
}
},
"outputs": [],
"source": [
"efdc6_merged = pd.merge(efdc6_df, efdc_grid_df, how='left', left_on=['I_MOD','J_MOD'],\n",
" right_on = ['I','J']).drop(columns=[\n",
" ' DUMPID', 'END_hr', 'I_MOD', 'J_MOD', 'I_MOD', 'X', 'Y', 'CUE', 'CVE', 'CUN', 'CVN'])\n",
"efdc6_merged['date'] = pd.to_datetime([datetime(2012, 6, 1, 00, 00, 00) +\n",
" timedelta(hours=h) for h in efdc6_merged['ST_hr']])\n",
"efdc6_merged.set_index('date', inplace=True)\n",
"efdc6_merged.index = efdc6_merged.index.tz_localize(\n",
" pytz.timezone('EST')).tz_convert(pytz.utc) #Convert to UTC\n",
"del efdc6_df\n",
"\n",
"\n",
"efdc7_merged = pd.merge(efdc7_df, efdc_grid_df, how='left', left_on=['I_MOD','J_MOD'],\n",
" right_on = ['I','J']).drop(columns=[\n",
" ' DUMPID', 'END_hr', 'I_MOD', 'J_MOD', 'I_MOD', 'X', 'Y', 'CUE', 'CVE', 'CUN', 'CVN'])\n",
"efdc7_merged['date'] = pd.to_datetime([datetime(2012, 7, 1, 00, 00, 00) +\n",
" timedelta(hours=h) for h in efdc7_merged['ST_hr']])\n",
"efdc7_merged.set_index('date', inplace=True)\n",
"efdc7_merged.index = efdc7_merged.index.tz_localize(\n",
" pytz.timezone('EST')).tz_convert(pytz.utc) #Convert to UTC\n",
"del efdc7_df\n",
"\n",
"\n",
"efdc8_merged = pd.merge(efdc8_df, efdc_grid_df, how='left', left_on=['I_MOD','J_MOD'],\n",
" right_on = ['I','J']).drop(columns=[\n",
" ' DUMPID', 'END_hr', 'I_MOD', 'J_MOD', 'I_MOD', 'X', 'Y', 'CUE', 'CVE', 'CUN', 'CVN'])\n",
"efdc8_merged['date'] = pd.to_datetime([datetime(2012, 8, 1, 00, 00, 00) +\n",
" timedelta(hours=h) for h in efdc8_merged['ST_hr']])\n",
"efdc8_merged.set_index('date', inplace=True)\n",
"efdc8_merged.index = efdc8_merged.index.tz_localize(\n",
" pytz.timezone('EST')).tz_convert(pytz.utc) #Convert to UTC\n",
"del efdc8_df\n",
"\n",
"\n",
"efdc9_merged = pd.merge(efdc9_df, efdc_grid_df, how='left', left_on=['I_MOD','J_MOD'],\n",
" right_on = ['I','J']).drop(columns=[\n",
" ' DUMPID', 'END_hr', 'I_MOD', 'J_MOD', 'I_MOD', 'X', 'Y', 'CUE', 'CVE', 'CUN', 'CVN'])\n",
"efdc9_merged['date'] = pd.to_datetime([datetime(2012, 9, 1, 00, 00, 00) +\n",
" timedelta(hours=h) for h in efdc9_merged['ST_hr']])\n",
"efdc9_merged.set_index('date', inplace=True)\n",
"efdc9_merged.index = efdc9_merged.index.tz_localize(\n",
" pytz.timezone('EST')).tz_convert(pytz.utc) #Convert to UTC\n",
"del efdc9_df"
]
},
{
"cell_type": "code",
"execution_count": 26,
"outputs": [],
"source": [
"efdc12_merged = pd.merge(efdc12_df, efdc_grid_df, how='left', left_on=['I_MOD','J_MOD'],\n",
" right_on = ['I','J']).drop(columns=[\n",
" ' DUMPID', 'END_hr', 'I_MOD', 'J_MOD', 'I_MOD', 'X', 'Y', 'CUE', 'CVE', 'CUN', 'CVN'])\n",
"efdc12_merged['date'] = pd.to_datetime([datetime(2012, 12, 1, 00, 00, 00) +\n",
" timedelta(hours=h) for h in efdc12_merged['ST_hr']])\n",
"efdc12_merged.set_index('date', inplace=True)\n",
"efdc12_merged.index = efdc12_merged.index.tz_localize(\n",
" pytz.timezone('EST')).tz_convert(pytz.utc) #Convert to UTC\n",
"del efdc12_df"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 9,
"outputs": [],
"source": [
"efdc_merged = pd.concat([efdc6_merged, efdc7_merged, efdc8_merged, efdc9_merged])\n",
"del efdc6_merged\n",
"del efdc7_merged\n",
"del efdc8_merged\n",
"del efdc9_merged\n",
"\n",
"efdc_merged_gdf = gp.GeoDataFrame(\n",
" efdc_merged, geometry=efdc_merged['geometry'], crs=\"EPSG:32118\")\n",
"del efdc_merged"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Merge EFDC dataframes and convert to geodataframe\n"
}
}
},
{
"cell_type": "code",
"execution_count": 27,
"outputs": [],
"source": [
"efdc_merged = efdc12_merged\n",
"\n",
"efdc_merged_gdf = gp.GeoDataFrame(\n",
" efdc_merged, geometry=efdc_merged['geometry'], crs=\"EPSG:32118\")\n",
"del efdc_merged\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"pycharm": {
"name": "#%% Find nearest grid point to station FFG\n"
}
},
"outputs": [],
"source": [
"nearest_geoms = nearest_points(Point(gdf_wl_FFG.iloc[0,:].geometry), MultiPoint(efdc_grid_gdf.geometry))\n",
"station_gdf = efdc_merged_gdf.loc[efdc_merged_gdf['geometry']==nearest_geoms[1]]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"outputs": [],
"source": [
"nearest_geoms = nearest_points(Point(gdf_wl_NGG1.iloc[0,:].geometry), MultiPoint(efdc_grid_gdf.geometry))\n",
"stationNGG_gdf = efdc_merged_gdf.loc[efdc_merged_gdf['geometry']==nearest_geoms[1]]\n",
"\n",
"# efdc_grid_gdf.loc[efdc_grid_gdf['geometry']== nearest_geoms[1]].value"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Find nearest grid point to station BGG\n"
}
}
},
{
"cell_type": "code",
"execution_count": 36,
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\arey\\AppData\\Local\\Temp/ipykernel_34632/1501513982.py:1: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec\n",
"\n",
"This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.\n",
"\n",
"To further ignore this warning, you can do: \n",
"import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')\n",
" efdc_merged_gdf.to_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/efdc_merged_Dec.parquet',\n",
"C:\\Users\\arey\\AppData\\Local\\Temp/ipykernel_34632/1501513982.py:4: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec\n",
"\n",
"This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.\n",
"\n",
"To further ignore this warning, you can do: \n",
"import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')\n",
" station_gdf.to_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/station_gdf_Dec.parquet',\n",
"C:\\Users\\arey\\AppData\\Local\\Temp/ipykernel_34632/1501513982.py:7: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec\n",
"\n",
"This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.\n",
"\n",
"To further ignore this warning, you can do: \n",
"import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')\n",
" stationNGG_gdf.to_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/stationNGG_gdf_Dec.parquet',\n"
]
}
],
"source": [
"efdc_merged_gdf.to_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/efdc_merged_Dec.parquet',\n",
" index=True, compression='gzip')\n",
"\n",
"station_gdf.to_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/station_gdf_Dec.parquet',\n",
" index=True, compression='gzip')\n",
"\n",
"stationNGG_gdf.to_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/stationNGG_gdf_Dec.parquet',\n",
" index=True, compression='gzip')"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Save EFDC as Parquet for faster importing\n"
}
}
},
{
"cell_type": "code",
"execution_count": 6,
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Exception ignored in: <function WKBReader.__del__ at 0x000002A4D5B2A3A0>\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\arey\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\shapely\\geos.py\", line 421, in __del__\n",
" self._lgeos.GEOSWKBReader_destroy(self._reader)\n",
"KeyboardInterrupt: \n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[1;31mKeyboardInterrupt\u001B[0m Traceback (most recent call last)",
"\u001B[1;32m~\\AppData\\Local\\Temp/ipykernel_15068/921050448.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m 2\u001B[0m \u001B[0mstation_gdf\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mgp\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mread_parquet\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m'C:/Users/arey/files/Projects/Newtown/RevisedEFDC/station_gdf.parquet'\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 3\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m----> 4\u001B[1;33m \u001B[0mefdc_merged_gdf\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mgp\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mread_parquet\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m'C:/Users/arey/files/Projects/Newtown/RevisedEFDC/efdc_merged.parquet'\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 5\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\geopandas\\io\\arrow.py\u001B[0m in \u001B[0;36m_read_parquet\u001B[1;34m(path, columns, **kwargs)\u001B[0m\n\u001B[0;32m 393\u001B[0m \u001B[0mtable\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mparquet\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mread_table\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mpath\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mcolumns\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mcolumns\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 394\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 395\u001B[1;33m \u001B[1;32mreturn\u001B[0m \u001B[0m_arrow_to_geopandas\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mtable\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 396\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 397\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\geopandas\\io\\arrow.py\u001B[0m in \u001B[0;36m_arrow_to_geopandas\u001B[1;34m(table)\u001B[0m\n\u001B[0;32m 335\u001B[0m \u001B[1;31m# Convert the WKB columns that are present back to geometry.\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 336\u001B[0m \u001B[1;32mfor\u001B[0m \u001B[0mcol\u001B[0m \u001B[1;32min\u001B[0m \u001B[0mgeometry_columns\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 337\u001B[1;33m \u001B[0mdf\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0mcol\u001B[0m\u001B[1;33m]\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mfrom_wkb\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdf\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0mcol\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mvalues\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mcrs\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mmetadata\u001B[0m\u001B[1;33m[\u001B[0m\u001B[1;34m\"columns\"\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0mcol\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m[\u001B[0m\u001B[1;34m\"crs\"\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 338\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 339\u001B[0m \u001B[1;32mreturn\u001B[0m \u001B[0mGeoDataFrame\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdf\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mgeometry\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mgeometry\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\geopandas\\array.py\u001B[0m in \u001B[0;36mfrom_wkb\u001B[1;34m(data, crs)\u001B[0m\n\u001B[0;32m 192\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 193\u001B[0m \"\"\"\n\u001B[1;32m--> 194\u001B[1;33m \u001B[1;32mreturn\u001B[0m \u001B[0mGeometryArray\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mvectorized\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mfrom_wkb\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdata\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mcrs\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mcrs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 195\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 196\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\geopandas\\_vectorized.py\u001B[0m in \u001B[0;36mfrom_wkb\u001B[1;34m(data)\u001B[0m\n\u001B[0;32m 167\u001B[0m \u001B[1;32mfor\u001B[0m \u001B[0mgeom\u001B[0m \u001B[1;32min\u001B[0m \u001B[0mdata\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 168\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mgeom\u001B[0m \u001B[1;32mis\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[1;32mNone\u001B[0m \u001B[1;32mand\u001B[0m \u001B[0mlen\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mgeom\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 169\u001B[1;33m \u001B[0mgeom\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mshapely\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mwkb\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mloads\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mgeom\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 170\u001B[0m \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 171\u001B[0m \u001B[0mgeom\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\shapely\\wkb.py\u001B[0m in \u001B[0;36mloads\u001B[1;34m(data, hex)\u001B[0m\n\u001B[0;32m 15\u001B[0m \u001B[1;32mreturn\u001B[0m \u001B[0mreader\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mread_hex\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdata\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 16\u001B[0m \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 17\u001B[1;33m \u001B[1;32mreturn\u001B[0m \u001B[0mreader\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mread\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdata\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 18\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 19\u001B[0m \u001B[1;32mdef\u001B[0m \u001B[0mload\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mfp\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mhex\u001B[0m\u001B[1;33m=\u001B[0m\u001B[1;32mFalse\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\shapely\\geos.py\u001B[0m in \u001B[0;36mread\u001B[1;34m(self, data)\u001B[0m\n\u001B[0;32m 433\u001B[0m \u001B[1;31m# avoid circular import dependency\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 434\u001B[0m \u001B[1;32mfrom\u001B[0m \u001B[0mshapely\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mgeometry\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 435\u001B[1;33m \u001B[1;32mreturn\u001B[0m \u001B[0mgeometry\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mbase\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mgeom_factory\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mgeom\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 436\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 437\u001B[0m \u001B[1;32mdef\u001B[0m \u001B[0mread_hex\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mdata\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;32m~\\Anaconda3\\envs\\D3DFM\\lib\\site-packages\\shapely\\geometry\\base.py\u001B[0m in \u001B[0;36mgeom_factory\u001B[1;34m(g, parent)\u001B[0m\n\u001B[0;32m 88\u001B[0m \u001B[0mob\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m__class__\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mgetattr\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mmod\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mgeom_type\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 89\u001B[0m \u001B[0mob\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_geom\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mg\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 90\u001B[1;33m \u001B[0mob\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m__p__\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mparent\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 91\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mlgeos\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mmethods\u001B[0m\u001B[1;33m[\u001B[0m\u001B[1;34m'has_z'\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mg\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 92\u001B[0m \u001B[0mob\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_ndim\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;36m3\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
"\u001B[1;31mKeyboardInterrupt\u001B[0m: "
]
}
],
"source": [
"stationNGG_gdf = gp.read_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/stationNGG_gdf.parquet')\n",
"station_gdf = gp.read_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/station_gdf.parquet')\n",
"\n",
"efdc_merged_gdf = gp.read_parquet('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/efdc_merged.parquet')"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Read in EFDC as Paraquet\n"
}
}
},
{
"cell_type": "code",
"execution_count": 12,
"outputs": [],
"source": [
"runLog = pd.read_excel('C:/Users/arey/files\\Projects/Newtown/Model Log NTC.xlsx', 'ModelLog')\n",
"\n",
"dataPath = \"FlowFM_map.nc\""
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Read Model Log\n"
}
}
},
{
"cell_type": "code",
"execution_count": 13,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"reading time dimension: reconstruct array\n",
"retrieving original timezone succeeded, no conversion to UTC/GMT applied\n",
"analyzing netdata from domain 0000 of 0000 (counting max number of facenodes)\n",
"processing netdata from domain 0000 of 0000\n",
"reading time dimension: only requested indices\n",
"retrieving original timezone succeeded, no conversion to UTC/GMT applied\n",
"reading time dimension: only requested indices\n",
"retrieving original timezone succeeded, no conversion to UTC/GMT applied\n",
"varname: mesh2d_s1 (337, 11096) ('time', 'mesh2d_nFaces'), coordinates=(mesh2d_face_x mesh2d_face_y)\n",
"varname: mesh2d_face_x (11096,) ('mesh2d_nFaces',), coordinates=(None)\n",
"varname: mesh2d_face_y (11096,) ('mesh2d_nFaces',), coordinates=(None)\n"
]
}
],
"source": [
"modelPlot = [31]\n",
"\n",
"ugrid_all = [None] * (max(modelPlot)+1)\n",
"data_frommap_wl = [None] * (max(modelPlot)+1)\n",
"facex = [None] * (max(modelPlot)+1)\n",
"facey = [None] * (max(modelPlot)+1)\n",
"\n",
"nearest_IDX = list(range(100))\n",
"nearest_IDX_NGG = list(range(100))\n",
"dsloc = list(range(100))\n",
"dsloc_NGG = list(range(100))\n",
"\n",
"# Find nearest point\n",
"for i in modelPlot:\n",
" dataPath = pl.Path(runLog['Run Location'][i],\n",
" 'FlowFM', 'dflowfm', 'output', 'FlowFM_map.nc')\n",
"\n",
" file_nc_map = dataPath.as_posix()\n",
"\n",
" tSteps = get_timesfromnc(file_nc=file_nc_map, varname='time')\n",
" tStep = len(tSteps)-1\n",
"\n",
" ugrid_all[i] = get_netdata(file_nc=file_nc_map)#,multipart=False)\n",
" data_frommap_wl[i] = get_ncmodeldata(file_nc=file_nc_map, varname='mesh2d_s1', timestep=tStep)\n",
" facex[i] = get_ncmodeldata(file_nc=file_nc_map, varname='mesh2d_face_x')\n",
" facey[i] = get_ncmodeldata(file_nc=file_nc_map, varname='mesh2d_face_y')\n",
"\n",
" # Find matching Delft3D index\n",
" s = gp.GeoSeries(map(Point, zip(facex[i], facey[i])))\n",
" nearest_geoms = nearest_points(Point(gdf_wl_FFG.iloc[0,:].geometry), MultiPoint(s))\n",
" nearest_IDX[i] = np.where(s==nearest_geoms[1])\n",
"\n",
" nearest_geoms = nearest_points(Point(gdf_wl_NGG1.iloc[0,:].geometry), MultiPoint(s))\n",
" nearest_IDX[i] = np.where(s==nearest_geoms[1])\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Import Delft3D results\n"
}
}
},
{
"cell_type": "code",
"execution_count": 14,
"outputs": [],
"source": [
"modelPlot = [31]\n",
"\n",
"ugrid_all = [None] * (max(modelPlot)+1)\n",
"data_frommap_wl = [None] * (max(modelPlot)+1)\n",
"facex = [None] * (max(modelPlot)+1)\n",
"facey = [None] * (max(modelPlot)+1)\n",
"\n",
"nearest_IDX = list(range(100))\n",
"nearest_IDX_NGG = list(range(100))\n",
"dsloc = list(range(100))\n",
"dsloc_NGG = list(range(100))\n",
"\n",
"# Note, this uses the standard netcdf lib + xarray\n",
"for i in modelPlot:\n",
" dataPath = pl.Path(runLog['Run Location'][i],\n",
" 'FlowFM', 'dflowfm', 'output', 'FlowFM_map.nc')\n",
"\n",
" file_nc_map = dataPath.as_posix()\n",
"\n",
" ds = xr.open_dataset(file_nc_map)\n",
"\n",
" # Find nearest point\n",
" ds_x = ds['mesh2d_face_x']\n",
" ds_y = ds['mesh2d_face_y']\n",
"\n",
" s = gp.GeoSeries(map(Point, zip(ds_x, ds_y)))\n",
" nearest_geoms = nearest_points(Point(gdf_wl_FFG.iloc[0,:].geometry), MultiPoint(s))\n",
" nearest_IDX[i] = np.where(s==nearest_geoms[1])\n",
"\n",
" nearest_geoms_NGG = nearest_points(Point(gdf_wl_NGG1.iloc[0,:].geometry), MultiPoint(s))\n",
" nearest_IDX_NGG[i] = np.where(s==nearest_geoms_NGG[1])\n",
"\n",
" dsloc[i] = ds['mesh2d_s1'].sel(mesh2d_nFaces=nearest_IDX[i][0])\n",
" dsloc_NGG[i] = ds['mesh2d_s1'].sel(mesh2d_nFaces=nearest_IDX_NGG[i][0])"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Read in time series\n"
}
}
},
{
"cell_type": "code",
"execution_count": 18,
"outputs": [],
"source": [
"modelPlot = [31]\n",
"\n",
"df_wl_D3D = list(range(100))\n",
"df_wl_D3D_NGG = list(range(100))\n",
"\n",
"d3dTzones = list(range(100))\n",
"d3dTzones[25] = 'EST'\n",
"d3dTzones[26] = 'EST'\n",
"d3dTzones[31] = 'EST'\n",
"\n",
"for i in modelPlot:\n",
" df_wl_D3D[i] = dsloc[i].to_dataframe()\n",
" df_wl_D3D[i].index = df_wl_D3D[i].index.droplevel(-1)\n",
"\n",
" df_wl_D3D[i].index = df_wl_D3D[i].index.tz_localize(\n",
" pytz.timezone(d3dTzones[i])).tz_convert(pytz.utc) #Convert to UTC\n",
"\n",
" df_wl_D3D_NGG[i] = dsloc_NGG[i].to_dataframe()\n",
" df_wl_D3D_NGG[i].index = df_wl_D3D_NGG[i].index.droplevel(-1)\n",
"\n",
" df_wl_D3D_NGG[i].index = df_wl_D3D_NGG[i].index.tz_localize(\n",
" pytz.timezone(d3dTzones[i])).tz_convert(pytz.utc) #Convert to UTC"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Convert D3D Timezone\n"
}
}
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"pycharm": {
"name": "#%% Plot water levels at nearest point\n"
}
},
"outputs": [
{
"data": {
"text/plain": "<Figure size 648x360 with 2 Axes>",
"image/png": "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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=2, ncols=1, figsize=(9, 5))\n",
"fig.patch.set_facecolor('white')\n",
"\n",
"for week in range(0, 2):\n",
" weekOffset = 0\n",
" axes[week+weekOffset].plot(station_gdf.index, station_gdf['WSE_m'], label='EFDC Model')\n",
"\n",
" axes[week+weekOffset].plot(gdf_wl_FFG.index+timedelta(hours=0),\n",
" gdf_wl_FFG['Water Surface Elevation (ft)']*0.3048,\n",
" label='Field Facility Gauge', color='k')\n",
"\n",
" for i in modelPlot:\n",
" axes[week+weekOffset].plot(df_wl_D3D[i].index, df_wl_D3D[i].mesh2d_s1, label=runLog['Run'][i])\n",
"\n",
" axes[week+weekOffset].set_xlim(datetime(2012, 12, 15, 0, 0, 0) + timedelta(days=week*7),\n",
" datetime(2012, 12, 15+7, 0, 0, 0) + timedelta(days=week*7))\n",
" axes[week+weekOffset].set_ylim(-1, 2.5)\n",
"\n",
"\n",
" axes[week+weekOffset].set_ylabel('Water Surface Elevation [m]')\n",
"\n",
"axes[0].legend(loc='upper left')\n",
"axes[0].title.set_text('Field Facility Gauge')\n",
"\n",
"plt.show()\n",
"fig.savefig('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/Figures/DecTS_FFG.png',\n",
" bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 34,
"outputs": [
{
"data": {
"text/plain": "<Figure size 648x360 with 2 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=2, ncols=1, figsize=(9, 5))\n",
"fig.patch.set_facecolor('white')\n",
"\n",
"for week in range(0, 2):\n",
" weekOffset = 0\n",
" axes[week+weekOffset].plot(stationNGG_gdf.index, stationNGG_gdf['WSE_m'], label='EFDC Model')\n",
"\n",
" axes[week+weekOffset].plot(gdf_wl_NGG1.index+timedelta(hours=0),\n",
" gdf_wl_NGG1['Water Surface Elevation (ft)']*0.3048,\n",
" label='National Grid Gauge', color='k')\n",
"\n",
" for i in modelPlot:\n",
" axes[week+weekOffset].plot(df_wl_D3D_NGG[i].index, df_wl_D3D_NGG[i].mesh2d_s1,\n",
" label=runLog['Run'][i])\n",
"\n",
" axes[week+weekOffset].set_xlim(datetime(2012, 12, 15, 0, 0, 0) + timedelta(days=week*7),\n",
" datetime(2012, 12, 15+7, 0, 0, 0) + timedelta(days=week*7))\n",
" axes[week+weekOffset].set_ylim(-1, 2.5)\n",
"\n",
" axes[week+weekOffset].set_ylabel('Water Surface Elevation [m]')\n",
"\n",
"axes[0].legend(loc='upper left')\n",
"axes[0].title.set_text('National Grid Gauge')\n",
"\n",
"plt.show()\n",
"fig.savefig('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/Figures/DecTS_NGG.png',\n",
" bbox_inches='tight')"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Plot water levels at National Grid\n"
}
}
},
{
"cell_type": "code",
"execution_count": 60,
"outputs": [
{
"data": {
"text/plain": "<Figure size 720x720 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(10, 10))\n",
"fig.patch.set_facecolor('white')\n",
"\n",
"interpTimes = pd.date_range(\"2012-06-02T00:00:00\", \"2012-10-01T00:00:00\", freq=\"60min\")\n",
"interpTimes = pd.date_range(\"2012-07-07T00:00:00\", \"2012-07-27T00:00:00\", freq=\"60min\")\n",
"\n",
"for i in modelPlot:\n",
" axes.scatter(np.interp(interpTimes, gdf_wl_FFG.index,\n",
" gdf_wl_FFG['Water Surface Elevation (ft)']*0.3048),\n",
" np.interp(interpTimes, df_wl_D3D[i].index,\n",
" df_wl_D3D[i].mesh2d_s1),\n",
" label=runLog['Run'][i])\n",
"\n",
"axes.scatter(np.interp(interpTimes, gdf_wl_FFG.index,\n",
" gdf_wl_FFG['Water Surface Elevation (ft)']*0.3048),\n",
" np.interp(interpTimes, station_gdf.index,\n",
" station_gdf['WSE_m']),\n",
" label='EFDC')\n",
"\n",
"linepts = np.array([-1.0, 1.5])\n",
"\n",
"plt.plot(linepts, linepts, color='k')\n",
"\n",
"axes.set_xlim(-1.0, 1.5)\n",
"axes.set_ylim(-1.0, 1.5)\n",
"axes.set_aspect('equal')\n",
"axes.set_title('Field Facility Gauge')\n",
"axes.legend(loc='upper left')\n",
"axes.set_ylabel('Model Water Surface Elevation [m]')\n",
"axes.set_xlabel('Observed Water Surface Elevation [m]')\n",
"\n",
"plt.show()\n",
"\n",
"fig.savefig('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/Figures/FFG_ScatterUpdated.pdf',\n",
" bbox_inches='tight')\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Plot scatters\n"
}
}
},
{
"cell_type": "code",
"execution_count": 61,
"outputs": [
{
"data": {
"text/plain": "<Figure size 720x720 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(10, 10))\n",
"fig.patch.set_facecolor('white')\n",
"\n",
"interpTimes = pd.date_range(\"2012-06-02T00:00:00\", \"2012-10-01T00:00:00\", freq=\"60min\")\n",
"interpTimes = pd.date_range(\"2012-07-07T00:00:00\", \"2012-07-27T00:00:00\", freq=\"60min\")\n",
"\n",
"for i in modelPlot:\n",
" axes.scatter(np.interp(interpTimes, gdf_wl_NGG1.index,\n",
" gdf_wl_NGG1['Water Surface Elevation (ft)']*0.3048),\n",
" np.interp(interpTimes, df_wl_D3D_NGG[i].index,\n",
" df_wl_D3D_NGG[i].mesh2d_s1),\n",
" label=runLog['Run'][i])\n",
"\n",
"axes.scatter(np.interp(interpTimes, gdf_wl_NGG1.index,\n",
" gdf_wl_NGG1['Water Surface Elevation (ft)']*0.3048),\n",
" np.interp(interpTimes, stationNGG_gdf.index,\n",
" stationNGG_gdf['WSE_m']),\n",
" label='EFDC')\n",
"\n",
"linepts = np.array([-1.0, 1.5])\n",
"\n",
"plt.plot(linepts, linepts, color='k')\n",
"\n",
"axes.set_xlim(-1.0, 1.5)\n",
"axes.set_ylim(-1.0, 1.5)\n",
"axes.set_aspect('equal')\n",
"axes.set_title('National Grid Gauge')\n",
"axes.legend(loc='upper left')\n",
"axes.set_ylabel('Model Water Surface Elevation [m]')\n",
"axes.set_xlabel('Observed Water Surface Elevation [m]')\n",
"\n",
"plt.show()\n",
"\n",
"fig.savefig('C:/Users/arey/files/Projects/Newtown/RevisedEFDC/Figures/NGG_ScatterUpdated.pdf',\n",
" bbox_inches='tight')"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Plot scatters NGG\n"
}
}
}
],
"metadata": {
"kernelspec": {
"display_name": "PyCharm (NTC_DFM)",
"language": "python",
"name": "pycharm-b2185061"
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