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  • fill_value in shift · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
427604243 https://github.com/pydata/xarray/pull/2470#issuecomment-427604243 https://api.github.com/repos/pydata/xarray/issues/2470 MDEyOklzc3VlQ29tbWVudDQyNzYwNDI0Mw== pep8speaks 24736507 2018-10-06T20:33:36Z 2018-12-27T22:49:41Z NONE

Hello @max-sixty! Thanks for updating the PR.

Cheers ! There are no PEP8 issues in this Pull Request. :beers:

Comment last updated on December 27, 2018 at 22:49 Hours UTC
 
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   fill_value in shift 367493434
450212636 https://github.com/pydata/xarray/pull/2470#issuecomment-450212636 https://api.github.com/repos/pydata/xarray/issues/2470 MDEyOklzc3VlQ29tbWVudDQ1MDIxMjYzNg== max-sixty 5635139 2018-12-27T19:12:33Z 2018-12-27T19:12:33Z MEMBER

I think this is in a decent place.

If np.nan is passed as fill_value into an int array, we'll get an odd result. But if they leave it to default, it'll work correctly, and I couldn't find a robust general way of solving that

Let me know thoughts! Max

 
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   fill_value in shift 367493434

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