issue_comments: 426106046

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/2452#issuecomment-426106046 https://api.github.com/repos/pydata/xarray/issues/2452 426106046 MDEyOklzc3VlQ29tbWVudDQyNjEwNjA0Ng== 5635139 2018-10-02T00:21:17Z 2018-10-02T00:21:17Z MEMBER

Is there a way of vectorizing these calls with that in mind? I.e. apply a method for each group.

I can't think of anything immediately, and doubt there's an easy way given it doesn't exist yet (though that logic can be a trap!). There's some hacky pandas reshaping you may be able to do to solve this as a one-off. Otherwise it does likely require a concerted effort with numbagg.

I occasionally hit this issue too, so as keen as you are to find a solution. Thanks for giving it a try.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   365678022