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  • fujiisoup · 2 ✖

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  • rolling requires pandas >= 0.18 · 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
325171370 https://github.com/pydata/xarray/issues/1512#issuecomment-325171370 https://api.github.com/repos/pydata/xarray/issues/1512 MDEyOklzc3VlQ29tbWVudDMyNTE3MTM3MA== fujiisoup 6815844 2017-08-27T01:32:08Z 2017-08-27T01:47:54Z MEMBER

I don't see removing functions from npcompat as particularly good justification on its own.

Yes. Agreed. The reason I propose numpy 1.11 is simply that conda recommends numpy >= 1.11 for pandas==0.18, though it also has a numpy==1.10 build. (And I don't like the special treatment in our unit tests for numpy==1.10 bug related to np.quantile.)

Though I do not yet understand well about NDArrayOperatorsMixin, it sounds a good direction to keep a well-managed code. But it might be a kind of heavy change and is better to be another issue?

I think to solve this particular issue, we can update supported oldest numpy to 1.11 (or 1.10). If we could clean up casting-related things until next release, we further update it to 1.13.

 
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   rolling requires pandas >= 0.18 251666172
324800620 https://github.com/pydata/xarray/issues/1512#issuecomment-324800620 https://api.github.com/repos/pydata/xarray/issues/1512 MDEyOklzc3VlQ29tbWVudDMyNDgwMDYyMA== fujiisoup 6815844 2017-08-25T01:33:47Z 2017-08-25T01:33:47Z MEMBER

OK. I will send a PR to update the minimum version support. To make our current logic work, pandas >= 0.18 is required.

How about numpy? pandas itself does not require newer numpy. I'm wondering if we can require numpy > 1.11, many logics in npcompat can be cleaned up.

 
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   rolling requires pandas >= 0.18 251666172

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