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I would like to set a condition in the dataframe for every row that says if value of columnA = 1 then df['outcome'] is 'Yes' and if not then 'No'

So something like this: df.loc[df['columnA']=1,'outcome']='Yes' else 'No'

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    df['outcome']=df['columnA'].eq(1).map({True:'Yes',False:'No'}) Commented Aug 4, 2021 at 14:00
  • also you can use loc 2 times if you wish Commented Aug 4, 2021 at 14:08

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You can simply use np.where

import numpy as np
df['outcome'] = np.where(df['columnA'] == 1, 'Yes', 'No')
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