Dataset.cumsum(self, dim=None, skipna=None, **kwargs)

Apply cumsum along some dimension of Dataset.

  • dim (str or sequence of str, optional) –

    Dimension over which to apply cumsum. axis : int or sequence of int, optional

    Axis over which to apply cumsum. Only one of the ‘dim’ and ‘axis’ arguments can be supplied.

  • skipna (bool, optional) – If True, skip missing values (as marked by NaN). By default, only skips missing values for float dtypes; other dtypes either do not have a sentinel missing value (int) or skipna=True has not been implemented (object, datetime64 or timedelta64).

  • keep_attrs (bool, optional) – If True, the attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.

  • **kwargs (dict) – Additional keyword arguments passed on to cumsum.


cumvalue – New Dataset object with cumsum applied to its data along the indicated dimension.

Return type