pyspark.pandas.window.Expanding.min¶

Expanding.min() → FrameLike[source]¶

Calculate the expanding minimum.

Note

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.

Returns

Series or DataFrame: Returned object type is determined by the caller of the expanding calculation.

See also

Series.expanding: Calling object with a Series.
DataFrame.expanding: Calling object with a DataFrame.
Series.min: Similar method for Series.
DataFrame.min: Similar method for DataFrame.

Examples

Performing a expanding minimum with a window size of 3.

>>> s = ps.Series([4, 3, 5, 2, 6])
>>> s.expanding(3).min()
0    NaN
1    NaN
2    3.0
3    2.0
4    2.0
dtype: float64

pyspark.pandas.window.Expanding.sum pyspark.pandas.window.Expanding.max