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import os
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import re
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import fiona
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import numpy as np
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import pandas as pd
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import geopandas as gpd
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import matplotlib.pyplot as plt
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from shapely.geometry import LineString
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# Set contour elevation
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contour_z = 0.7
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# Set coordinate reference system
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epsg = 28356
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csv_name = 'photogrammetry_Xsections_Wamberal and Terrigal.csv'
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# Load csv
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df = pd.read_csv(csv_name, header=5)
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df = df.set_index(['Beach', 'Block', 'Profile', 'Year/Date'])
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# Get unique survey parameters
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beaches = df.index.get_level_values('Beach').unique()
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blocks = df.index.get_level_values('Block').unique()
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profiles = df.index.get_level_values('Profile').unique()
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dates = df.index.get_level_values('Year/Date').unique()
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# Sort dataframe
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df = df.sort_index()
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contours = []
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for beach in beaches:
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for block in blocks:
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for date in dates:
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x = []
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y = []
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for profile in profiles:
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try:
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# Get data for current profile
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survey = df.loc[(beach, block, profile, date), :]
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survey = survey.set_index('Chainage')
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# Reverse survey chainage so elevation is increasing
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survey = survey[::-1]
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# Find largest chainage in profile above contour elevation
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idx = survey.where(
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survey['Elevation'] > contour_z).first_valid_index()
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elevation = survey.loc[:idx, 'Elevation']
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eastings = survey.loc[:idx, 'Easting']
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northings = survey.loc[:idx, 'Northing']
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x = np.interp(contour_z, elevation, eastings)
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y = np.interp(contour_z, elevation, northings)
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except KeyError:
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pass
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if x and y:
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# Join points from same date into a line
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line = LineString([(x1, y1) for x1, y1 in zip(x, y)])
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contours.append({
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'date': date,
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'beach': beach,
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'block': block,
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'geometry': line
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})
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# Make geodataframe
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gdf = gpd.GeoDataFrame(contours)
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# Set coordinate reference system
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gdf.crs = fiona.crs.from_epsg(epsg)
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beach_name = csv_name.replace('photogrammetry_Xsections_', '')
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shp_name = beach_name.replace('.csv', f' {contour_z}m contour.shp')
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gdf.to_file(shp_name, driver='ESRI Shapefile')
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