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  • aluhamaa · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
393479854 https://github.com/pydata/xarray/issues/2159#issuecomment-393479854 https://api.github.com/repos/pydata/xarray/issues/2159 MDEyOklzc3VlQ29tbWVudDM5MzQ3OTg1NA== aluhamaa 10668114 2018-05-31T09:57:01Z 2018-05-31T09:57:01Z NONE

Just wanted to add the same request;)

  • But, I want to add that current behavior, where combined y = 10 20 30 40 50 60 10 20 30 40 50 60 is incorrect in the context of CF, which states that coordinates must be monotonic, and I cannot see many other use cases where such a result would work.
  • Also, currently the documentation is not clear about what will happen if you have multiple dimensions with different ranges.

I also do not understand what is the real complexity of implementing it. As I understand the problem, the initial full dataset is some sort of N-d hypercube and then it is being split into parts along any nr of dimensions. When reading multiple files, which are just parts of this hypercube, it should be enough to just find the possible dimension values, form a hypercube and place each files content into the correct slot? What am I missing here?

 
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   Concatenate across multiple dimensions with open_mfdataset 324350248
348461080 https://github.com/pydata/xarray/issues/1749#issuecomment-348461080 https://api.github.com/repos/pydata/xarray/issues/1749 MDEyOklzc3VlQ29tbWVudDM0ODQ2MTA4MA== aluhamaa 10668114 2017-12-01T10:36:04Z 2017-12-01T10:36:04Z NONE

I'm fine with masking both missing_value and _FillValue.

 
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   _FillValue and missing_value not allowed for the same variable 278122300

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   [reactions] TEXT,
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