check and update column based on multiple values

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check and update column based on multiple values



I have a dataframe df where there are 3 columns


id code status
1 US Y
2 IN Y
3 UK Y
4 CN Y
5 KR Y



I want to update column status to N where code not in ("US", "UK")


code not in ("US", "UK")



I tried using this but failed


df.loc[df['code'] not in ("US","UK"),["status"]] ='N'





Possible duplicate of Pandas: How do I assign values based on multiple conditions for existing columns?
– Mohit Motwani
Aug 10 at 6:49




2 Answers
2



You need:


df['status'] = np.where(df['code'].isin(["US","UK"]), df['status'], 'N')


df['status'] = df.apply(lambda x: 'N' if x[1] not in ['US','UK'] else x[2],axis=1)






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