issue_comments: 131644079
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| 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/324#issuecomment-131644079 | https://api.github.com/repos/pydata/xarray/issues/324 | 131644079 | MDEyOklzc3VlQ29tbWVudDEzMTY0NDA3OQ== | 1217238 | 2015-08-17T00:13:47Z | 2015-08-17T00:13:47Z | MEMBER | @jhamman For your use case, both hour and dayofyear are along the time dimension, so arguably the result should be 1D with a MultiIndex instead of 2D. So it might make more sense to start with that, and then layer on stack/unstack or pivot functionality. I guess there are two related use cases here: 1. Multiple groupby arguments along a single dimension (pandas does this one already) 2. Multiple groupby arguments along different dimensions (pandas doesn't do this one). |
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