impute_mean.py

# impute using fillna
# make a copy of dataframe for example purposes
imputed_df = df_threshold.copy()

# list of columns to impute
impute_cols = ['AMT_REQ_CREDIT_BUREAU_YEAR',
               'AMT_REQ_CREDIT_BUREAU_HOUR',
               'AMT_REQ_CREDIT_BUREAU_DAY',
               'AMT_REQ_CREDIT_BUREAU_WEEK',
               'AMT_REQ_CREDIT_BUREAU_MON',
               'AMT_REQ_CREDIT_BUREAU_QRT']

# fill missing values with mean
for col in impute_cols:
    imputed_df[col] = imputed_df[col].fillna(imputed_df[col].mean())
    
# get updated missing value info
get_missing_values_info(imputed_df).head(20)