sum(dim=None, axis=None, skipna=None, **kwargs)¶
Reduce this DataArray’s data by applying sum along some dimension(s).
- dim : str or sequence of str, optional
Dimension(s) over which to apply sum.
- axis : int or sequence of int, optional
Axis(es) over which to apply sum. Only one of the ‘dim’ and ‘axis’ arguments can be supplied. If neither are supplied, then sum is calculated over axes.
- 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).
- min_count : int, default None
The required number of valid values to perform the operation. If fewer than min_count non-NA values are present the result will be NA. New in version 0.10.8: Added with the default being None.
- 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 the appropriate array function for calculating sum on this object’s data.
- reduced : DataArray
New DataArray object with sum applied to its data and the indicated dimension(s) removed.