issue_comments: 259041491
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/1086#issuecomment-259041491 | https://api.github.com/repos/pydata/xarray/issues/1086 | 259041491 | MDEyOklzc3VlQ29tbWVudDI1OTA0MTQ5MQ== | 167164 | 2016-11-08T04:16:26Z | 2016-11-08T04:16:26Z | NONE | So it would be more efficient to concat all of the datasets (subset for the relevant variables), and then just use a single .to_dataframe() call on the entire dataset? If so, that would require quite a bit of refactoring on my part, but it could be worth it. |
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