issue_comments: 318183360
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1490#issuecomment-318183360 | https://api.github.com/repos/pydata/xarray/issues/1490 | 318183360 | MDEyOklzc3VlQ29tbWVudDMxODE4MzM2MA== | 1217238 | 2017-07-26T21:08:51Z | 2017-07-26T21:08:51Z | MEMBER | NumPy doesn't support timezones, but pandas does. This puts things in a slightly tricky position for xarray. We do manage to get things to work for pandas dtypes stored in indexes, in most cases. Given that our resampling behavior also relies on pandas, I think we should be able to get this work, probably by tweaking our PandasIndexAdapter, as @darothen notes. It's borderline whether this is a new bug or feature, but this would certainly be nice to fix if possible, so I'm marking this as "Contributions welcome". |
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