## Plotting Mike21 SW results for SouthShore # Author: AJMR # December 22, 2021 # %% Setup Project from mikeio import Dfsu, Mesh, Dfs2, Dfs0 from mikeio.eum import ItemInfo, EUMUnit, EUMType import pandas as pd import pathlib as pl import numpy as np import geopandas as gp import math import matplotlib.pyplot as plt import contextily as ctx from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar, AnchoredDirectionArrows 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(), "ModelLog") # %% Read Model Results modelPlot = range(20, 29) hmo_list = [None] * (max(modelPlot) + 1) dfs_list = [None] * (max(modelPlot) + 1) for m in modelPlot: dfsIN = Dfsu(pl.Path(runLog['Run Location'][m], str(runLog['Number'][m]) + '_' + runLog['Run Name'][m] + '.sw - Result Files', 'ResultsMap.dfsu').as_posix()) dfs_list[m] = dfsIN ds = dfsIN.read() hmo_list[m] = ds["Sign. Wave Height"][1] # # 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(28, 29) for m in modelPlot: fig, axes = plt.subplots(figsize=(8, 8)) # Convert to feet and ignore missing hm0_plot = hmo_list[m]*3.28084 hm0_nan = np.isnan(hm0_plot) dfs_list[m].plot(hm0_plot[~hm0_nan], plot_type='contourf', show_mesh=False, cmap='turbo', ax=axes, levels=21, vmin=0, vmax=20, label='Spectral significant wave height (ft)', elements=dfs_list[m].element_ids[~hm0_nan]) # # Add in scale bar and North Arrow # scalebar = AnchoredSizeBar(axes.transData, # 500, '500 m', 'lower right', pad=0.5, size_vertical=10, fontproperties=fontprops) # axes.add_artist(scalebar) # axes.annotate('N', xy=(x, y), xytext=(x, y - arrow_length), # arrowprops=dict(facecolor='black', width=6, headwidth=20), # ha='center', va='center', fontsize=15, # xycoords=axes.transAxes) 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/02_Mike21SW/Images/Production/' + runLog['Short Description'][m] + '_HM0.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')