xarray.core.weighted.DatasetWeighted

class xarray.core.weighted.DatasetWeighted(obj, weights)

__init__(obj, weights)

Create a Weighted object

Parameters:

• obj (DataArray or Dataset) – Object over which the weighted reduction operation is applied.
• weights (DataArray) – An array of weights associated with the values in the obj. Each value in the obj contributes to the reduction operation according to its associated weight.

Notes

weights must be a DataArray and cannot contain missing values. Missing values can be replaced by weights.fillna(0).

Methods

__init__(obj, weights)	Create a Weighted object
mean(dim, Iterable[Hashable], None] = None, …)	Reduce this Dataset’s data by a weighted mean along some dimension(s).
sum(dim, Iterable[Hashable], None] = None, …)	Reduce this Dataset’s data by a weighted sum along some dimension(s).
sum_of_weights(dim, Iterable[Hashable], …)	Calculate the sum of weights, accounting for missing values in the data

Attributes

obj
weights