Python – How to apply values from other columns

Question

I want to insert a new column called "Sponsor" and the values of this column comes from multiple columns.

> Current Data

Program    Source      Region  Owner
    A       Global        ECAN   Girl
    B       Regional       US    Boy
    C       Delta Global  EMEA   Girl

> Insert Sponsor column and the values should be based on below logic

If, Program == "A" OR Program == "B" AND Source column contains "Global" then use the value from Owner column Else return the same value from Source column

I tried in below format but little confused

def SetSponsor(row):
    if str(row['Source']).contains('Global') & (row['Program'] == 'A') | (row['Program'] == 'B') : 
        return (row['Owner'])
    else :
    return (row['Source'])
                
df['Sponsor'] = df.apply(lambda row: SetSponsor(row), axis=1)

Asked By: Ziggy

||

Source

Answer 1

Use np.where for complex conditions.

contains function requires string context: str.contains()
to check if an element is contained in list of values is convenient with Series.isin(values) function

df['Sponsor'] = np.where((df['Source'].str.contains('Global')) & (df['Program'].isin(['A','B'])),
                         df['Owner'], df['Source'])

  Program        Source Region Owner       Sponsor
0       A        Global   ECAN  Girl          Girl
1       B      Regional     US   Boy      Regional
2       C  Delta Global   EMEA  Girl  Delta Global

Answered By: RomanPerekhrest

Python – How to apply values from other columns

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