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roches-probabilistic-hazard-lines
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Rename 'ZFC' -> 'ZRFC'

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master
Dan Howe 3 years ago
parent 38ad08bef2
commit 21cadfd589
1 changed files with 5 additions and 5 deletions
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10
probabilistic-analysis/probabilistic_assessment.py
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@ -329,7 +329,7 @@ def get_storm_demand_volume(ref_aep, ref_vol, n, mode='fit'):
def process(beach_name, beach_scenario, n_runs, start_year, end_year, def process(beach_name, beach_scenario, n_runs, start_year, end_year,
output_years, output_ep, zsa_profile_file, zfc_profile_file, output_years, output_ep, zsa_profile_file, zrfc_profile_file,
output_folder, figure_folder, sea_level_rise, bruun_factor, output_folder, figure_folder, sea_level_rise, bruun_factor,
underlying_recession, storm_demand, plot_stats, omit_from_shp, underlying_recession, storm_demand, plot_stats, omit_from_shp,
min_chainage, segment_gaps, insert_points, append_points): min_chainage, segment_gaps, insert_points, append_points):
@ -345,7 +345,7 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
output_years (list): years to save profiles output_years (list): years to save profiles
output_ep (list): EP values for saved profiles output_ep (list): EP values for saved profiles
zsa_profile_file (str): path to storm demand vs chainge data (ZSA) zsa_profile_file (str): path to storm demand vs chainge data (ZSA)
zfc_profile_file (str): path to storm demand vs chainge data (ZFC) zrfc_profile_file (str): path to storm demand vs chainge data (ZRFC)
output_folder (str): where to save profiles output_folder (str): where to save profiles
sea_level_rise (dict): sea_level_rise (dict):
'year' (list): years 'year' (list): years
@ -420,14 +420,14 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
np.array(ref_vol)[sort_idx]) np.array(ref_vol)[sort_idx])
# Load profile data for current beach # Load profile data for current beach
pbar_profiles = tqdm(['ZSA', 'ZFC'], leave=False) pbar_profiles = tqdm(['ZSA', 'ZRFC'], leave=False)
for profile_type in pbar_profiles: for profile_type in pbar_profiles:
pbar_profiles.set_description('{}'.format(profile_type)) pbar_profiles.set_description('{}'.format(profile_type))
if profile_type == 'ZSA': if profile_type == 'ZSA':
df_in = pd.read_csv(zsa_profile_file) df_in = pd.read_csv(zsa_profile_file)
if profile_type == 'ZFC': if profile_type == 'ZRFC':
df_in = pd.read_csv(zfc_profile_file) df_in = pd.read_csv(zrfc_profile_file)
col_names = [c for c in df_in.columns if c.isdigit()] col_names = [c for c in df_in.columns if c.isdigit()]

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