xarray.computation.weighted.DatasetWeighted

class xarray.computation.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, skipna, keep_attrs])	Reduce this Dataset's data by a weighted mean along some dimension(s).
quantile(q, *[, dim, keep_attrs, skipna])	Apply a weighted quantile to this Dataset's data along some dimension(s).
std([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted std along some dimension(s).
sum([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted sum along some dimension(s).
sum_of_squares([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted sum_of_squares along some dimension(s).
sum_of_weights([dim, keep_attrs])	Calculate the sum of weights, accounting for missing values in the data.
var([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted var along some dimension(s).

Attributes

obj
weights