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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
419543087 MDU6SXNzdWU0MTk1NDMwODc= 2805 [Feature Request] iteration equivalent numpy's nditer or ndenumerate AdrianSosic 23265127 open 0     4 2019-03-11T15:48:00Z 2022-09-22T16:12:47Z   NONE      

Hi folks, is there any simple way to iterate over all elements of an xarray together with its labels? What I am looking for is an equivalent to numpy's nditer or rather ndenumerate method:

https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.html https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndenumerate.html

Ideally, the iterator should return both the current data element and its coordinates, potentially in the form of an (ordered) dictionary. Is there any direct possibility to achieve this with the current functionality of the package?

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    xarray 13221727 issue
454677926 MDU6SXNzdWU0NTQ2Nzc5MjY= 3015 Assigning values to a subset of a dataset AdrianSosic 23265127 closed 0     2 2019-06-11T13:03:16Z 2021-05-25T08:12:52Z 2021-05-25T08:12:52Z NONE      

Hi, can somebody tell me what is the "correct" way to manipulate a subset of the data contained in a Dataset?

Consider the following example: ``` import numpy as np import xarray as xr

shape = (3, 2) da1 = xr.DataArray(np.zeros(shape), dims=('x', 'y'), coords=dict(x=[1, 2, 3], y=[4, 5]), name='var1') da2 = xr.DataArray(np.zeros(shape), dims=('x', 'y'), coords=dict(x=[1, 2, 3], y=[4, 5]), name='var2') ```

I can easily change the value of variable 1 at a given coordinate in the first DataArray using the following syntax: da1.loc[dict(x=1, y=4)] = 1

However, if I merge both DataArrays into a single Dataset and want to change both variables at the same time, there seems to be no straightforward solution: ds = xr.merge([da1, da2]) ds.loc[dict(x=1, y=4)] = ... <-- what to write here?

The only solution I could come up with is to modify the two values separately, but this is neither very elegant nor scales with the number of variables: ds['var1'].loc[dict(x=1, y=4)] = 2 ds['var2'].loc[dict(x=1, y=4)] = 3

All I could find in the docs about this issue is:

Using indexing to assign values to a subset of dataset (e.g., ds[dict(space=0)] = 1) is not yet supported.

If not by indexing, what other (more compact) way exists? A potential solution might be to create a separate Dataset and then use the update method, but this seems overly complicated, too.

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  completed xarray 13221727 issue

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