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  • AdrianSosic · 3 ✖

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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
472156039 https://github.com/pydata/xarray/issues/277#issuecomment-472156039 https://api.github.com/repos/pydata/xarray/issues/277 MDEyOklzc3VlQ29tbWVudDQ3MjE1NjAzOQ== AdrianSosic 23265127 2019-03-12T19:53:21Z 2019-03-12T19:53:21Z NONE

Hi, I am also looking for a solution to create an "empty" xarray (filled with some default value, say, 0 or NaN) whose size gets automatically determined by its coordinates (which are passed to the DataSet constructor as a dict). Has there been any progress since the original post by andreas-h?

 
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   Creation of an empty DataArray 48301141
471978276 https://github.com/pydata/xarray/issues/2805#issuecomment-471978276 https://api.github.com/repos/pydata/xarray/issues/2805 MDEyOklzc3VlQ29tbWVudDQ3MTk3ODI3Ng== AdrianSosic 23265127 2019-03-12T12:23:23Z 2019-03-12T12:23:23Z NONE

Hi shoyer, many thanks for your quick reply. Converting the xarray to a DataFrame indeed does the job and I will use this solution for the time being. Nevertheless, to me the approach seems rather like an ad-hoc solution since it requires a series of conversions / function calls and I feel like there should be some built-in solution from xarray. In particular, in the above solution, you lose track of what are the coordinates and what is the actual data (all is stored in a single NamedTuple), which requires an additional step to separate the two data structures. Anyway, thanks for your help! If you find another solution, please let me know!

 
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   [Feature Request] iteration equivalent numpy's nditer or ndenumerate 419543087

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