issue_comments: 200417621

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/659#issuecomment-200417621 https://api.github.com/repos/pydata/xarray/issues/659 200417621 MDEyOklzc3VlQ29tbWVudDIwMDQxNzYyMQ== 1217238 2016-03-23T16:13:32Z 2016-03-23T16:13:32Z MEMBER

Another approach here (rather than writing something new with Numba) would be to write a pure NumPy engine for groupby that relies on reordering data and np.add.accumulate. This could yield performance within a factor of 2-3x slower than pandas. See this comment for an example: https://github.com/numpy/numpy/issues/7265#issuecomment-198796408

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   117039129