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change column value based on another column pandas

# Changes the 'is_electric' column based on value in the 'type' column
# If the 'type' column == 'electric' then the 'is_electric' becomes 'YES'
df['is_electric']= df['type'].apply(lambda x: 'YES' if (x == 'electric') else 'NO')
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replace column values/create new column based on another column values/condition in Pandas

df['New Column'] = np.where(df['A']==0, df['B'], df['A'])
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