polars.Series.rolling_apply#
- Series.rolling_apply(
- function: Callable[[Series], Any],
- window_size: int,
- weights: list[float] | None = None,
- min_periods: int | None = None,
- *,
- center: bool = False,
Apply a custom rolling window function.
Deprecated since version 0.19.0: This method has been renamed to
Series.rolling_map()
.- Parameters:
- function
Aggregation function
- 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