issue_comments: 76883374
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/349#issuecomment-76883374 | https://api.github.com/repos/pydata/xarray/issues/349 | 76883374 | MDEyOklzc3VlQ29tbWVudDc2ODgzMzc0 | 1217238 | 2015-03-03T04:02:25Z | 2015-03-03T04:02:25Z | MEMBER | Oh, OK. In that case, you do want to use Something like this should work:
xray doesn't use or set unlimited dimensions. (It's pretty irrelevant for us, given that NumPy arrays can be stored in either row-major or column-major order.) |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
59467251 |