issue_comments: 212940728
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/439#issuecomment-212940728 | https://api.github.com/repos/pydata/xarray/issues/439 | 212940728 | MDEyOklzc3VlQ29tbWVudDIxMjk0MDcyOA== | 141709 | 2016-04-21T14:23:54Z | 2016-04-21T14:23:54Z | CONTRIBUTOR | Would it not make sense to use a pandas.DatetimeIndex instead of pure-numpy datetimes? It seems that DatetimeIndex already solves lots of the weirdness in the underlying numpy datetime objects and adds a bunch of useful functionality for things like groupby operations. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
89866276 |