issue_comments: 182676967
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/757#issuecomment-182676967 | https://api.github.com/repos/pydata/xarray/issues/757 | 182676967 | MDEyOklzc3VlQ29tbWVudDE4MjY3Njk2Nw== | 1217238 | 2016-02-11T02:32:59Z | 2016-02-12T00:15:48Z | MEMBER | For what it's worth, I don't think we have any good solutions short of adding our own array type do to Categorical in xarray. We could set sort=False in some cases when we call pd.factorize but that's not a great alternative. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
132774456 |