issue_comments: 488112182
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/1569#issuecomment-488112182 | https://api.github.com/repos/pydata/xarray/issues/1569 | 488112182 | MDEyOklzc3VlQ29tbWVudDQ4ODExMjE4Mg== | 1559890 | 2019-04-30T20:55:01Z | 2019-04-30T20:55:01Z | NONE | I got a solution which is not so flexible but works:
Data:
for k,v in multi_groupby(da,['second','variable']):
print(k,v)
|
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
257070215 |