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  • shoyer · 2 ✖

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  • Possible regression with PyNIO data not being lazily loaded · 2 ✖

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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
345125593 https://github.com/pydata/xarray/issues/1720#issuecomment-345125593 https://api.github.com/repos/pydata/xarray/issues/1720 MDEyOklzc3VlQ29tbWVudDM0NTEyNTU5Mw== shoyer 1217238 2017-11-17T02:18:55Z 2017-11-17T02:18:55Z MEMBER

The private Variable._in_memory attribute (e.g., ds.variables['temperature']._in_memory) will tell you if xarray thinks the data is in memory for the purposes of printing array values.

Are you using dask to load this data? That can also change things.

 
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   Possible regression with PyNIO data not being lazily loaded 274308380
345122204 https://github.com/pydata/xarray/issues/1720#issuecomment-345122204 https://api.github.com/repos/pydata/xarray/issues/1720 MDEyOklzc3VlQ29tbWVudDM0NTEyMjIwNA== shoyer 1217238 2017-11-17T01:57:37Z 2017-11-17T01:57:37Z MEMBER

@WeatherGod can you verify that you don't get immediate loading when loading netCDF files, e.g., with scipy or netCDF4-python?

We did change how loading of data works with printing in this release (#1532), but if anything the changes should go the other way, to do less loading of data.

I'm having trouble debugging this locally because I can't seem to get a working version of pynio installed from conda-forge on OS X (running into various ABI incompatibility issues when I try this in a new conda environment).

 
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   Possible regression with PyNIO data not being lazily loaded 274308380

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