bigframes.pandas.Series.cumsum

Series.cumsum() → Series

Return cumulative sum over a DataFrame or Series axis.

Returns a DataFrame or Series of the same size containing the cumulative sum.

Examples:

>>> s = bpd.Series([2, np.nan, 5, -1, 0])
>>> s
0     2.0
1    <NA>
2     5.0
3    -1.0
4     0.0
dtype: Float64

By default, NA values are ignored.

>>> s.cumsum()
0     2.0
1    <NA>
2     7.0
3     6.0
4     6.0
dtype: Float64

Parameters:

axis ({0 or 'index', 1 or 'columns'}, default 0) – The index or the name of the axis. 0 is equivalent to None or ‘index’. For Series this parameter is unused and defaults to 0.

Returns:

Return cumulative sum of scalar or Series.

Return type:

bigframes.pandas.Series