But output is still just for 10, 100 and 1000, because the output structure is fixed:
if analysis_type == "Function":
# Sum all EAI to get total EAI across all RPs
result_df.loc[:, f"{exp_cat}_EAI"] = result_df.loc[:, result_df.columns.str.contains('_EAI')].sum(axis=1)
# Calculate Exp_EAI% (Percent affected exposure per year)
result_df.loc[:, f"{exp_cat}_EAI%"] = (result_df.loc[:, f"{exp_cat}_EAI"] / result_df.loc[:, f"{adm_name}_{exp_cat}"]) * 100.0
# Reorder - need ADM code, name, and exp at the front regardless of ADM level
result_df = result_df.loc[:, all_adm_code_tmp + all_adm_name_tmp +
[f"{adm_name}_{exp_cat}", f"RP10_{exp_cat}_tot", f"RP100_{exp_cat}_tot", f"RP1000_{exp_cat}_tot",
f"RP10_{exp_cat}_imp", f"RP100_{exp_cat}_imp", f"RP1000_{exp_cat}_imp",
"RP10_EAI", "RP100_EAI", "RP1000_EAI", f"{exp_cat}_EAI", f"{exp_cat}_EAI%", "geometry"]]
Need to make output format aligned with custom RP selection
I have been trying to add more hazard layers (return periods) in the flood analysis.
valid_RPs = [5, 10, 20, 50, 75, 100, 200, 250, 500, 1000]
But output is still just for 10, 100 and 1000, because the output structure is fixed:
Need to make output format aligned with custom RP selection