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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
269569458 https://github.com/pydata/xarray/issues/808#issuecomment-269569458 https://api.github.com/repos/pydata/xarray/issues/808 MDEyOklzc3VlQ29tbWVudDI2OTU2OTQ1OA== jhamman 2443309 2016-12-29T01:44:43Z 2016-12-29T01:44:43Z MEMBER

see #1190 for a belated fix for this issue.

 
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   bottleneck version 144575316
203534002 https://github.com/pydata/xarray/issues/808#issuecomment-203534002 https://api.github.com/repos/pydata/xarray/issues/808 MDEyOklzc3VlQ29tbWVudDIwMzUzNDAwMg== shoyer 1217238 2016-03-30T17:13:21Z 2016-03-30T17:13:21Z MEMBER

At the least, we should probably list this requirement on the installation page.

 
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   bottleneck version 144575316
203468065 https://github.com/pydata/xarray/issues/808#issuecomment-203468065 https://api.github.com/repos/pydata/xarray/issues/808 MDEyOklzc3VlQ29tbWVudDIwMzQ2ODA2NQ== jhamman 2443309 2016-03-30T14:46:49Z 2016-03-30T14:46:49Z MEMBER

Setuptools has the concept of extras_require but the application doesn't really work with our optional import of bottleneck (ref). I think what may work here is to check the bottleneck version on import and raise a warning if the version is not sufficient for all the functionality we use it for.

So here may look something like:

Python try: import bottleneck as bn has_bottleneck = True if bn.__version__ < 1.0: warnings.warn('insufficient bottleneck version...') except ImportError: # use numpy methods instead bn = np has_bottleneck = False

Alternatively, we could raise an error or fall back to use the numpy methods.

 
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   bottleneck version 144575316

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