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  • dgoldwx2112 · 4 ✖

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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
235742069 https://github.com/pydata/xarray/issues/919#issuecomment-235742069 https://api.github.com/repos/pydata/xarray/issues/919 MDEyOklzc3VlQ29tbWVudDIzNTc0MjA2OQ== dgoldwx2112 17951292 2016-07-27T22:32:36Z 2016-07-27T22:32:36Z NONE

Yes indeed. I'm embarrassed I even posted this! It looks like the nbnds and time_bnds variables were added to the yearly files at some point. Accordingly, a simple conditional checking for their existence and subsequently deleting them prior to concatenation did the trick. Too bad there is absolutely no consistency in these files at all.

 
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   ValueError: encountered unexpected variable nbnds 167684282
233504857 https://github.com/pydata/xarray/issues/900#issuecomment-233504857 https://api.github.com/repos/pydata/xarray/issues/900 MDEyOklzc3VlQ29tbWVudDIzMzUwNDg1Nw== dgoldwx2112 17951292 2016-07-19T01:17:43Z 2016-07-19T01:17:43Z NONE

Thanks Stephan - that was very helpful! I was able to carry out the necessary computations with no problems after seeing your reply.

 
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   How to apply function to two (or more) variables simultaneously 166195300
230284327 https://github.com/pydata/xarray/issues/894#issuecomment-230284327 https://api.github.com/repos/pydata/xarray/issues/894 MDEyOklzc3VlQ29tbWVudDIzMDI4NDMyNw== dgoldwx2112 17951292 2016-07-04T12:56:10Z 2016-07-04T12:56:10Z NONE

That did the trick!

 
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   Dataset variable reference fails after renaming 163414759
229762102 https://github.com/pydata/xarray/issues/891#issuecomment-229762102 https://api.github.com/repos/pydata/xarray/issues/891 MDEyOklzc3VlQ29tbWVudDIyOTc2MjEwMg== dgoldwx2112 17951292 2016-06-30T19:22:43Z 2016-06-30T19:22:43Z NONE

Thanks, Stephan! Enjoy your vacation! For now I am processing multiple files over an opendap connection using netCDF4.MFDataset and then building a DataArray or Dataset from the variables stored within the resulting MFDataset object. This appears much faster than the process recommend here when a lot of big files are involved: http://xarray.pydata.org/en/stable/io.html (i.e., using read_netcdfs). Once a bug fix is implemented, I'll try using the dask-optimized open_mfdataset().

 
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   BUG: Test for dask version erroneously fails when calling xr.mfdataset() 162726984

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