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.
Calling object with Series data.
Calling object with DataFrames.
Similar method for Series.
Similar method for DataFrame.
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