max() → FrameLike¶
Calculate the expanding maximum.
the current implementation of this API uses Spark’s Window without specifying partition specification. This leads to move all data into single partition in single machine and could cause serious performance degradation. Avoid this method against very large dataset.
- Series or DataFrame
Return type is determined by the caller.
Performing a expanding minimum with a window size of 3.
>>> s = ps.Series([4, 3, 5, 2, 6]) >>> s.expanding(3).max() 0 NaN 1 NaN 2 5.0 3 5.0 4 6.0 dtype: float64