issue_comments: 259026069
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-259026069 | https://api.github.com/repos/pydata/xarray/issues/1086 | 259026069 | MDEyOklzc3VlQ29tbWVudDI1OTAyNjA2OQ== | 167164 | 2016-11-08T02:19:01Z | 2016-11-08T02:19:01Z | NONE | Not easily - most scripts require multiple (up to 200, of which the linked one is one of the smallest, some are up to 10Mb) of these datasets in a specific directory structure, and rely on a couple of private python modules. I was just asking because I thought I might have been missing something obvious, but now I guess that isn't the case. Probably not worth spending too much time on this - if it starts becoming a real problem for me, I will try to generate something self-contained that shows the problem. Until then, maybe it's best to assume that xarray/pandas are doing the best they can given the requirements, and close this for now. |
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