pyspark.pandas.Series.clip¶
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Series.clip(lower: Union[float, int] = None, upper: Union[float, int] = None, inplace: bool = False) → pyspark.pandas.series.Series[source]¶ Trim values at input threshold(s).
Assigns values outside boundary-to-boundary values.
- Parameters
- lowerfloat or int, default None
Minimum threshold value. All values below this threshold will be set to it.
- upperfloat or int, default None
Maximum threshold value. All values above this threshold will be set to it.
- inplacebool, default False
if True, perform operation in-place
- Returns
- Series
Series with the values outside the clip boundaries replaced
Notes
One difference between this implementation and pandas is that running pd.Series([‘a’, ‘b’]).clip(0, 1) will crash with “TypeError: ‘<=’ not supported between instances of ‘str’ and ‘int’” while ps.Series([‘a’, ‘b’]).clip(0, 1) will output the original Series, simply ignoring the incompatible types.
Examples
>>> psser = ps.Series([0, 2, 4]) >>> psser 0 0 1 2 2 4 dtype: int64
>>> psser.clip(1, 3) 0 1 1 2 2 3 dtype: int64
Clip can be performed in-place.
>>> psser.clip(2, 3, inplace=True) >>> psser 0 2 1 2 2 3 dtype: int64