reduce(self, func: Callable, dim: Union[Hashable, Iterable[Hashable]] = None, keep_attrs: bool = None, keepdims: bool = False, numeric_only: bool = False, allow_lazy: bool = False, **kwargs: Any) → 'Dataset'¶
Reduce this dataset by applying func along some dimension(s).
func (callable) – Function which can be called in the form f(x, axis=axis, **kwargs) to return the result of reducing an np.ndarray over an integer valued axis.
dim (str or sequence of str, optional) – Dimension(s) over which to apply func. By default func is applied over all dimensions.
keep_attrs (bool, optional) – If True, the dataset’s attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.
keepdims (bool, default False) – If True, the dimensions which are reduced are left in the result as dimensions of size one. Coordinates that use these dimensions are removed.
numeric_only (bool, optional) – If True, only apply
functo variables with a numeric dtype.
**kwargs (Any) – Additional keyword arguments passed on to
reduced – Dataset with this object’s DataArrays replaced with new DataArrays of summarized data and the indicated dimension(s) removed.
- Return type