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  • Assigning values to a subset of a dataset · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
501202662 https://github.com/pydata/xarray/issues/3015#issuecomment-501202662 https://api.github.com/repos/pydata/xarray/issues/3015 MDEyOklzc3VlQ29tbWVudDUwMTIwMjY2Mg== AdrianSosic 23265127 2019-06-12T09:52:16Z 2019-06-12T09:52:16Z NONE

Thanks for the quick reply! I really like the xarray package and hope that someone will add this functionality in the future since it would significantly improve the usability in certain situations. I am unfortunately not yet experienced enough with the package to take care of it myself - perhaps at a later point in time... For the time being, I will therefore stick with the above solutions ;)

 
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   Assigning values to a subset of a dataset 454677926
501095642 https://github.com/pydata/xarray/issues/3015#issuecomment-501095642 https://api.github.com/repos/pydata/xarray/issues/3015 MDEyOklzc3VlQ29tbWVudDUwMTA5NTY0Mg== shoyer 1217238 2019-06-12T02:25:14Z 2019-06-12T02:25:14Z MEMBER

One easy work around is to loop over the variables in a Dataset, e.g., for da in ds.values(): da.loc[dict(x=1, y=3)] = 1 It's a little ugly but it works.

I don't think there's a more compact way to do this in general. In some cases the where() function/method can be a good option, e.g., ds.where((ds.x == 1) & (ds.y == 4), 1).

"not yet supported" basically means that there's no reason why it isn't supported, other than that nobody has bothered to implement it yet. Xarray tends to get new features when users implement them :).

 
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   Assigning values to a subset of a dataset 454677926

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