Dataset.reduce(func, dim=None, *, keep_attrs=None, keepdims=False, numeric_only=False, **kwargs)[source]#

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, Iterable of Hashable or None, optional) – Dimension(s) over which to apply func. By default func is applied over all dimensions.

  • keep_attrs (bool or None, 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, default: False) – If True, only apply func to variables with a numeric dtype.

  • **kwargs (Any) – Additional keyword arguments passed on to func.


reduced (Dataset) – Dataset with this object’s DataArrays replaced with new DataArrays of summarized data and the indicated dimension(s) removed.