Eda, Exploratory Data Analysis, Pandas, Python.
null_loan_home[~null_loan_home[['prop_pur_price']].isnull().any(axis=1)].shape[0] print("Number of rows where 'loan_home_tag' is null, but 'prop_pur_price' is not null:", not_null_count) new_df = df_l1[['prop_pur_price','loan_home_tag']] null_loan_home = new_df[new_df['prop_pur_price'].isnull()]