Currently the agg_col for CWA Penalties is agg_col="FED_PENALTY_ASSESSED_AMT" In fact, it should be the product of TWO fields, "FED_PENALTY_ASSESSED_AMT" and "STATE_LOCAL_PENALTY_AMT"
if ( len( df_pgm ) > 0 ):
if CWA:
df_pgm['Amount'] = df_pgm['FED_PENALTY_ASSESSED_AMT'].fillna(0) + df_pgm['STATE_LOCAL_PENALTY_AMT'].fillna(0)
df_pgm = df_pgm.groupby(pd.to_datetime(df_pgm['Date'], format="%m/%d/%Y", errors='coerce')).agg({'Amount':'sum','Count':'count'})
Currently the
agg_col
for CWA Penalties is agg_col="FED_PENALTY_ASSESSED_AMT" In fact, it should be the product of TWO fields, "FED_PENALTY_ASSESSED_AMT" and "STATE_LOCAL_PENALTY_AMT"