pyspark.pandas.DataFrame.rolling¶
-
DataFrame.rolling(window: int, min_periods: Optional[int] = None) → Rolling[FrameLike]¶ Provide rolling transformations.
Note
‘min_periods’ in pandas-on-Spark works as a fixed window size unlike pandas. Unlike pandas, NA is also counted as the period. This might be changed in the near future.
- Parameters
- windowint, or offset
Size of the moving window. This is the number of observations used for calculating the statistic. Each window will be a fixed size.
- min_periodsint, default None
Minimum number of observations in window required to have a value (otherwise result is NA). For a window that is specified by an offset, min_periods will default to 1. Otherwise, min_periods will default to the size of the window.
- Returns
- a Window sub-classed for the particular operation