issue_comments: 390670582
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/2159#issuecomment-390670582 | https://api.github.com/repos/pydata/xarray/issues/2159 | 390670582 | MDEyOklzc3VlQ29tbWVudDM5MDY3MDU4Mg== | 8453445 | 2018-05-21T14:28:08Z | 2018-05-21T14:28:08Z | CONTRIBUTOR | Thanks for opening up this issue. This would be very helpful for the forecasting community as well, where we usually concatenate along Start time and Lead time dimensions. Here, however, was mentioned that it is quite difficult to generalize it, and he suggested a workaround. I know that some people did it for specific datasets, so maybe it would be helpful to add an example to the documentation that shows how this can be implemented on a case by case basis? |
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