Jan Mühlnikel
added crs5 and sdg selection
55a6bd8
raw
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761 Bytes
import pandas as pd
def contains_code(crs_codes, code_list):
codes = str(crs_codes).split(';')
return any(code in code_list for code in codes)
def filter_projects(df, crs3_list, crs5_list, sdg_str):
if crs3_list != [] or crs5_list != [] or sdg_str != "":
if crs3_list and not crs5_list:
df = df[df['crs_3_code'].apply(lambda x: contains_code(x, crs3_list))]
elif crs3_list and crs5_list:
df = df[df['crs_5_code'].apply(lambda x: contains_code(x, crs5_list))]
elif not crs3_list and crs5_list:
df = df[df['crs_5_code'].apply(lambda x: contains_code(x, crs5_list))]
if sdg_str != "":
df = df[df["sgd_pred_code"] == int(sdg_str)]
return df