pandas create new column conditional on other columns
# For creating new column with multiple conditions
conditions = [
(df['Base Column 1'] == 'A') & (df['Base Column 2'] == 'B'),
(df['Base Column 3'] == 'C')]
choices = ['Conditional Value 1', 'Conditional Value 2']
df['New Column'] = np.select(conditions, choices, default='Conditional Value 1')pandas set one column equal to another
In [300]:
df.loc[df['colA'] == 'a', 'colC'] = df['colB']
df['colC'] = df['colC'].fillna(0)
df
Out[300]:
id colA colB colC
0 0 a 13 13
1 1 a 52 52
2 2 b 16 0
3 3 a 34 34
4 4 b 946 0Copyright © 2021 Codeinu
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