cudf.DataFrame.cummax#

DataFrame.cummax(axis=None, *args, **kwargs)[source]#

Return cumulative max of the IndexedFrame.

Parameters:

axis: {index (0), columns(1)}: Axis for the function to be applied on.
skipna: bool, default True: Exclude NA/null values. If an entire row/column is NA, the result will be NA.

Returns:

Examples

Series

>>> import cudf
>>> ser = cudf.Series([1, 5, 2, 4, 3])
>>> ser.cumsum()
0    1
1    6
2    8
3    12
4    15

DataFrame

>>> import cudf
>>> df = cudf.DataFrame({'a': [1, 2, 3, 4], 'b': [7, 8, 9, 10]})
>>> s.cumsum()
    a   b
0   1   7
1   3  15
2   6  24
3  10  34