np.where的嵌套使用

您可以使用numpy.where尝试以下内容：

# Import package
import numpy as np

# Conditions
sb = (df['Employment'] == 'Salaried') | (df['Annual income of policy owner'] == 'Business Owner')
non_stop = (df['STP flagging'] == 'NON STP')
stop = (df['STP flagging'] == 'STP')
lakhs = df['Annual income of policy owner']

# Assignment
df['result'] = np.where(sb & stop & (lakhs.eq('>10 lakh')),'No Issue',
                        np.where(sb & non_stop & (lakhs.eq('<=10 lakh')),"No issue",
                        np.where(sb & non_stop & (lakhs.eq('>10 lakh')),"Issue",
                        np.where(sb & stop & (lakhs.eq('<= 10 lakh')),"Issue","No condition"))))

# Print new column values
>>> df['result'].value_counts()

No condition    5618
Issue           1264
No Issue         618
Name: result, dtype: int64