polars.Series.rolling_skew#

Series.rolling_skew(
window_size: int,
*,
bias: bool = True,
) → Series[source]#

Compute a rolling skew.

The window at a given row includes the row itself and the window_size - 1 elements before it.

Parameters:
window_size

Integer size of the rolling window.

bias

If False, the calculations are corrected for statistical bias.

Examples

>>> pl.Series([1, 4, 2, 9]).rolling_skew(3)
shape: (4,)
Series: '' [f64]
[
    null
    null
    0.381802
    0.47033
]

Note how the values match

>>> pl.Series([1, 4, 2]).skew(), pl.Series([4, 2, 9]).skew()
(0.38180177416060584, 0.47033046033698594)