AJMR-Python-Baird/Mustique/MustiquePlotting_HD2.py

290 lines
11 KiB
Python

## Plotting Mike21 SW results for SouthShore
# Author: AJMR
# December 22, 2021
# %% Setup Project
from mikeio import Dfsu, Mesh, Dfs2, Dfs0
import pandas as pd
import pathlib as pl
import numpy as np
import geopandas as gp
import matplotlib.pyplot as plt
import contextily as ctx
import matplotlib.font_manager as fm
# %% Read Model Log
pth = pl.Path("//srv-mad3.baird.com/", "Projects", "13632.101 South Shore Breakwater", "06_Models",
"13632.101.W.AJMR.Rev0_ModelLog.xlsx")
runLog = pd.read_excel(pth.as_posix(), "HD")
# %% Read Model Results
modelPlot = range(6, 7)
curSpeed_list = [None] * (max(modelPlot) + 1)
curElm_list = [None] * (max(modelPlot) + 1)
curU_list = [None] * (max(modelPlot) + 1)
curV_list = [None] * (max(modelPlot) + 1)
dfs_list = [None] * (max(modelPlot) + 1)
ds_list = [None] * (max(modelPlot) + 1)
wl_list = [None] * (max(modelPlot) + 1)
wd_list = [None] * (max(modelPlot) + 1)
bed_list = [None] * (max(modelPlot) + 1)
for m in modelPlot:
dfsIN = Dfsu(pl.Path(runLog['Run Location'][m],
runLog['Run Name'][m] + '.m21fm - Result Files', 'FullDomain.dfsu').as_posix())
dfs_list[m] = dfsIN
ds_list[m] = dfs_list[m].read()
curSpeed_list[m] = ds_list[m]["Current speed"][-1]
curU_list[m] = ds_list[m]["U velocity"][-1]
curV_list[m] = ds_list[m]["V velocity"][-1]
curElm_list[m] = dfs_list[m].element_coordinates
wl_list[m] = ds_list[m]["Surface elevation"][-1]
wd_list[m] = ds_list[m]["Total water depth"][-1]
bed_list[m] = wl_list[m] - wd_list[m]
# # Read Mesh for first model
# mikeMeshIN = dfsIN.to_shapely()
# # Convert to list of polygons
# mikeMeshIN_list = [p for p in mikeMeshIN]
# Add to list
# hmo_list[m] = gp.GeoDataFrame(hm0, geometry=mikeMeshIN_list)
# Cleanup unnecessary variables
# del mikeMeshIN
# del mikeMeshIN_list
del dfsIN
# %% Plotting
# Shaded Water
mapbox = 'https://api.mapbox.com/styles/v1/alexander0042/ckemxgtk51fgp19nybfmdcb1e/tiles/256/{z}/{x}/{y}@2x?access_token=pk.eyJ1IjoiYWxleGFuZGVyMDA0MiIsImEiOiJjazVmdG4zbncwMHY4M2VrcThwZGUzZDFhIn0.w6oDHoo1eCeRlSBpwzwVtw'
x, y, arrow_length = 0.93, 0.95, 0.12
fontprops = fm.FontProperties(size=12)
modelPlot = range(6, 7)
vmin = 0
vmax = 1
scale = 1 #5
for m in modelPlot:
if m < 4 or m == 6:
vmax = 5
qmax = 4
scale = 50
amin = 1
else:
vmax = 1
qmax = 0.25
scale = 75
amin = 3
fig, axes = plt.subplots(figsize=(8, 8))
# Convert to feet and ignore missing
cur_plot = curSpeed_list[m]*3.28084
cur_nan = np.isnan(cur_plot)
axDHI = dfs_list[m].plot(cur_plot[~cur_nan], plot_type='contourf', show_mesh=False, cmap='viridis', ax=axes, levels=11,
vmin=vmin, vmax=vmax, label='Current Speed (ft/s)',
elements=dfs_list[m].element_ids[~cur_nan])
# Plot arrows on overset grid
overGrid = dfs_list[m].get_overset_grid(dx=50)
interpolant = dfs_list[m].get_2d_interpolant(overGrid.xy, n_nearest=1)
# Interpolate velocity at last time step by selecting time from dataset
overGrid_Cur = dfs_list[m].interp2d(ds_list[m][ds_list[m].time[-1]:], *interpolant, shape=(overGrid.ny, overGrid.nx))
overGrid_U = overGrid_Cur["U velocity"][-1]
overGrid_V = overGrid_Cur["V velocity"][-1]
# Normalize velocity above limit
overGrid_U_Scale = overGrid_U*3.28084
overGrid_V_Scale = overGrid_V*3.28084
r = np.power(np.add(np.power(overGrid_U_Scale, 2), np.power(overGrid_V_Scale, 2)), 0.5)
curPlotMask = np.sqrt((overGrid_U_Scale) ** 2 + (overGrid_V_Scale) ** 2) > qmax
overGrid_U_Plot = np.zeros(overGrid_U_Scale.shape)
overGrid_V_Plot = np.zeros(overGrid_V_Scale.shape)
# Normalize arrows to 1
overGrid_U_Plot = overGrid_U_Scale / r
overGrid_V_Plot = overGrid_V_Scale / r
# Scale arrows below qmax
overGrid_U_Plot[~curPlotMask] = overGrid_U_Plot[~curPlotMask] * (r[~curPlotMask] / qmax)
overGrid_V_Plot[~curPlotMask] = overGrid_V_Plot[~curPlotMask] * (r[~curPlotMask] / qmax)
qv = axDHI.quiver(overGrid.x, overGrid.y, overGrid_U_Plot, overGrid_V_Plot, scale=scale,
color='k', headlength=3.5, headwidth=3.5, headaxislength=3.5, width=0.0015, minlength=amin) #200
axes.set_xlim(left=427800, right=431000)
axes.set_ylim(bottom=4758000, top=4762000)
ctx.add_basemap(axes, source=mapbox, crs='EPSG:32616')
# axes.title.set_text(runLog['Short Description'][m])
# axes.titlesize = 'x-large'
fig.suptitle(runLog['Short Description'][m], fontsize=18)
axes.set_xlabel('Easting [m]')
axes.set_ylabel('Northing [m]')
plt.show()
fig.savefig(
'//srv-mad3.baird.com/Projects/13632.101 South Shore Breakwater/06_Models/04_MIKE21_HD/Images/Production/' +
runLog['Short Description'][m] + '_RevC_Current.png', bbox_inches='tight', dpi=300)
# %% Plot Bathymetry
fig, axes = plt.subplots(figsize=(8, 8))
# Convert to feet and ignore missing
bed_plot = (bed_list[m] * 3.28084) - 578.007
bed_nan = np.isnan(bed_plot)
axDHI = dfs_list[m].plot(bed_plot[~bed_nan], plot_type='contourf', show_mesh=False, cmap='magma_r', ax=axes, levels=9,
vmin=-80, vmax=0, label='Bed Elevation (ft)',
elements=dfs_list[m].element_ids[~bed_nan])
axes.set_xlim(left=427800, right=431000)
axes.set_ylim(bottom=4758000, top=4762500)
ctx.add_basemap(axes, source=mapbox, crs='EPSG:32616')
fig.suptitle('Bed Elevation', fontsize=18)
axes.set_xlabel('Easting [m]')
axes.set_ylabel('Northing [m]')
plt.show()
fig.savefig(
'//srv-mad3/Projects/13632.101 South Shore Breakwater/10_Reports&Pres/13632.101.R3 Ph I BOD/Support files/' +
'Bed_Elevation.png', bbox_inches='tight', dpi=300)
# %% Read time series
MIKEds_list = [None] * (max(modelPlot) + 1)
MIKEdsT_list = [None] * (max(modelPlot) + 1)
for m in modelPlot:
dfsIN = Dfs0(pl.Path(runLog['Run Location'][m], str(runLog['Number'][m]) + '_' +
runLog['Run Name'][m] + '.sw - Result Files', 'BreakPts.dfs0').as_posix())
dfsIN_read = dfsIN.read()
MIKEds_list[m] = dfsIN_read.to_dataframe()
dfsTIN = Dfs0(pl.Path(runLog['Run Location'][m], str(runLog['Number'][m]) + '_' +
runLog['Run Name'][m] + '.sw - Result Files', 'TransectPTS.dfs0').as_posix())
dfsTIN_read = dfsTIN.read()
MIKEdsT_list[m] = dfsTIN_read.to_dataframe()
# Cleanup unnecessary variables
del dfsIN_read
del dfsIN
del dfsTIN_read
del dfsTIN
# %% Read in Toe and Crest Shapefiles
breakwaterPTS = gp.read_file("//srv-mad3.baird.com/Projects/"
"13632.101 South Shore Breakwater/08_CADD/Outgoing/"
"20211211_Toe Extents (to Alexander)/"
"20211211_Toe_Extents_NAD83_WISStatePlaneSZn_USFt_Lines_OffshoreClipSimple_10m_vertexUTM.shp")
breakCrest = pd.read_csv(
'//srv-mad3.baird.com/Projects/13632.101 South Shore Breakwater/08_CADD/Outgoing/20211214_Crest Points (to Alexander)/20211214_Crest_Points_m.csv',
header=None, names=['x', 'y', 'z'])
breakCrest_gdf = gp.GeoDataFrame(breakCrest, crs='EPSG:32154',
geometry=gp.points_from_xy(breakCrest.x, breakCrest.y))
breakCrest_gdf.to_crs('EPSG:32616', inplace=True)
breakwaterPTS_Crest = breakwaterPTS.sjoin_nearest(breakCrest_gdf)
breakwaterPTS_Crest.rename(columns={'x': 'breakCrest_x', 'y': 'breakCrest_y', 'z': 'Crest'}, inplace=True)
# %% Merge with data
breakPointsOut = [None] * (max(modelPlot) + 1)
breakTimesOut = [None] * (max(modelPlot) + 1)
for m in modelPlot:
breakwaterPTS_times = None
for t in range(0, MIKEds_list[m].shape[0]):
breakwaterPTS_merge = None
breakwaterPTS_merge = breakwaterPTS_Crest
for i in range(0, MIKEds_list[m].shape[1]):
paramName = MIKEds_list[m].columns.values[i][MIKEds_list[m].columns.values[i].find('"', 5, -1) + 3:]
if paramName not in breakwaterPTS_merge.columns:
breakwaterPTS_merge[paramName] = np.full([breakwaterPTS_merge.shape[0], 1], np.nan)
tmpFID = int(MIKEds_list[m].columns.values[i][1:MIKEds_list[m].columns.values[i].find('"', 1)])
tmpIND = int(MIKEds_list[m].columns.values[i][5:MIKEds_list[m].columns.values[i].find('"', 5)])
breakwaterPTS_merge.loc[((breakwaterPTS_merge.FID == tmpFID) &
(breakwaterPTS_merge.vertex_ind == tmpIND)),
paramName] = MIKEds_list[m].iloc[t, i]
breakwaterPTS_merge['Time'] = MIKEds_list[m].index[t]
breakwaterPTS_times = pd.concat([breakwaterPTS_times, breakwaterPTS_merge], ignore_index=True)
breakTimesOut[m] = breakwaterPTS_times
# %% Read in Breakwater Transect Points Sh
breakwaterT = pd.read_csv("C:/Users/arey/files/Projects/SouthShore/Bathy/BreakTransectPTS_Names.csv", sep='\t')
breakwaterT_PTS = gp.GeoDataFrame(breakwaterT, geometry=gp.points_from_xy(breakwaterT.X, breakwaterT.Y),
crs='EPSG:32616')
# %% Merge with data
breakPoints_TOut = [None] * (max(modelPlot) + 1)
breakTimes_TOut = [None] * (max(modelPlot) + 1)
for m in modelPlot:
breakwaterPTS_times = None
for t in range(0, MIKEdsT_list[m].shape[0]):
breakwaterPTS_merge = None
breakwaterPTS_merge = breakwaterT_PTS
for i in range(0, MIKEdsT_list[m].shape[1]):
paramName = MIKEdsT_list[m].columns.values[i][MIKEdsT_list[m].columns.values[i].find(':', 5, -1) + 2:]
if paramName not in breakwaterPTS_merge.columns:
breakwaterPTS_merge[paramName] = np.full([breakwaterPTS_merge.shape[0], 1], np.nan)
tmpName = MIKEdsT_list[m].columns.values[i][0:MIKEdsT_list[m].columns.values[i].find(':', 1)]
breakwaterPTS_merge.loc[(breakwaterPTS_merge.Name == tmpName),
paramName] = MIKEdsT_list[m].iloc[t, i]
breakwaterPTS_merge['Time'] = MIKEdsT_list[m].index[t]
breakwaterPTS_times = pd.concat([breakwaterPTS_times, breakwaterPTS_merge], ignore_index=True)
breakTimes_TOut[m] = breakwaterPTS_times
#%% Format and save
for m in modelPlot:
saveTmp = breakTimesOut[m].copy()
saveTmp['X'] = saveTmp.geometry.x
saveTmp['Y'] = saveTmp.geometry.y
saveTmp.drop(['vertex_par', 'vertex_p_1', 'angle', 'geometry', 'index_right',
'breakCrest_x', 'breakCrest_y', 'Length'], axis=1, inplace=True)
saveTmp.sort_values(by=['FID', 'vertex_ind'], inplace=True, ignore_index=True)
# Reorder columns
colNames = saveTmp.columns.values
saveTmp = saveTmp[['X', 'Y', *colNames[0:-2]]]
saveTmpT = saveTmp.transpose(copy=True)
# Transect points
saveTmp2 = breakTimes_TOut[m].copy()
saveTmp2.drop(['geometry'], axis=1, inplace=True)
saveTmp2T = saveTmp2.transpose(copy=True)
saveTmpT.to_csv('//srv-mad3.baird.com/Projects/13632.101 South Shore Breakwater/06_Models/02_Mike21SW/Results/' +
'Toe' + runLog['Short Description'][m] + '.csv')
saveTmp2T.to_csv('//srv-mad3.baird.com/Projects/13632.101 South Shore Breakwater/06_Models/02_Mike21SW/Results/' +
'Transect' + runLog['Short Description'][m] + '.csv')