polars.Series.rolling_median#

Series.rolling_median( window_size: int, weights: list[float] | None = None, min_periods: int | None = None, *, center: bool = False, ) → Series[source]#

Compute a rolling median.

Parameters:

window_size: The length of the window.
weights: An optional slice with the same length as the window that will be multiplied elementwise with the values in the window.
min_periods: The number of values in the window that should be non-null before computing a result. If None, it will be set equal to window size.
center: Set the labels at the center of the window
The window at a given row will include the row itself and the `window_size - 1`
elements before it.

Examples

>>> s = pl.Series("a", [1.0, 2.0, 3.0, 4.0, 6.0, 8.0])
>>> s.rolling_median(window_size=3)
shape: (6,)
Series: 'a' [f64]
[
        null
        null
        2.0
        3.0
        4.0
        6.0
]