pandas.Series.case_when#
- Series.case_when(caselist)[source]#
Replace values where the conditions are True.
- Parameters:
- caselistA list of tuples of conditions and expected replacements
Takes the form:
(condition0, replacement0)
,(condition1, replacement1)
, … .condition
should be a 1-D boolean array-like object or a callable. Ifcondition
is a callable, it is computed on the Series and should return a boolean Series or array. The callable must not change the input Series (though pandas doesn`t check it).replacement
should be a 1-D array-like object, a scalar or a callable. Ifreplacement
is a callable, it is computed on the Series and should return a scalar or Series. The callable must not change the input Series (though pandas doesn`t check it).Added in version 2.2.0.
- Returns:
- Series
See also
Series.mask
Replace values where the condition is True.
Examples
>>> c = pd.Series([6, 7, 8, 9], name='c') >>> a = pd.Series([0, 0, 1, 2]) >>> b = pd.Series([0, 3, 4, 5])
>>> c.case_when(caselist=[(a.gt(0), a), # condition, replacement ... (b.gt(0), b)]) 0 6 1 3 2 1 3 2 Name: c, dtype: int64