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@ -471,8 +471,7 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
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pbar_year.set_description('Year: {}'.format(year))
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pbar_year.set_description('Year: {}'.format(year))
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# Create output dataframe
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# Create output dataframe
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df_out = df_in[['beach', 'block', 'profile']].copy()
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df_out = df_in[['beach', 'block', 'profile']]
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df_out['block'] = df_out['block'].astype(str)
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# Add info on non-erodable sections
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# Add info on non-erodable sections
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df_out = df_out.assign(min_chainage=np.nan)
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df_out = df_out.assign(min_chainage=np.nan)
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@ -487,7 +486,7 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
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df_out = df_out.assign(segment_gaps=False)
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df_out = df_out.assign(segment_gaps=False)
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for b, p, in zip(segment_gaps['block'],
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for b, p, in zip(segment_gaps['block'],
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segment_gaps['profile']):
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segment_gaps['profile']):
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idx = (df_out['block'] == str(b)) & (df_out['profile']
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idx = (str(df_out['block']) == str(b)) & (df_out['profile']
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== p)
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== p)
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df_out.loc[idx, 'segment_gaps'] = True
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df_out.loc[idx, 'segment_gaps'] = True
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