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Merged
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Apr 24, 2025
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update #99

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2 changes: 1 addition & 1 deletion examples/example_NORA_wind_waves.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@
plots.var_rose(df,var_dir=var_wind_dir,var=var_wind,method='overall',max_perc=40,decimal_places=1, units='m/s',output_file=folder / 'wind_omni.png')
plots.var_rose(df,var_dir=var_wind_dir,var=var_wind,method='monthly',max_perc=40,decimal_places=1, units='m/s',output_file=folder / 'wind_monthly.png')
plots.plot_directional_stats(df,var=var_wind,step_var=0.1,var_dir=var_wind_dir,title = 'W10[m/s]', output_file=folder / 'directional_wind_stats.png')
plots.table_directional_non_exceedance(df,var=var_wind,step_var=2,var_dir=var_wind_dir,output_file=folder / 'table_wind_directional_non_exceedance.csv')
tables.table_directional_non_exceedance(df,var=var_wind,step_var=2,var_dir=var_wind_dir,output_file=folder / 'table_wind_directional_non_exceedance.csv')
plots.plot_monthly_stats(df,var=var_wind,title = 'Wind Speed at 10 m [m/s]', output_file=folder / 'monthly_wind_stats.png')
tables.table_monthly_non_exceedance(df,var=var_wind,step_var=2,output_file=folder / 'table_monthly_non_exceedance.csv')
plots.plot_prob_non_exceedance_fitted_3p_weibull(df,var=var_wind,output_file=folder / 'prob_non_exceedance_fitted_3p_weibull_wind.png')
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2 changes: 1 addition & 1 deletion metocean_stats/stats/extreme.py
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Expand Up @@ -813,7 +813,7 @@ def directional_extremes(data: pd.DataFrame, var: str, var_dir: str, periods=[1,
for dir in range(0,360,30):
sector_data = data[data['direction_sector']==dir]
if sector_data.empty:
sector_data = data * 0 # fill with zeros, this will give 0 extremes for empety sectors
sector_data = data.loc[:, data.select_dtypes(include=['number']).columns] * 0 # fill with zeros, this will give 0 extremes for empty sectors

if isinstance(threshold, str) and threshold.startswith('P'):
threshold_value = sector_data[var].quantile(int(threshold.split('P')[1])/100)
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