issue_comments: 144577524
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| 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/597#issuecomment-144577524 | https://api.github.com/repos/pydata/xarray/issues/597 | 144577524 | MDEyOklzc3VlQ29tbWVudDE0NDU3NzUyNA== | 1217238 | 2015-09-30T23:57:38Z | 2015-09-30T23:57:38Z | MEMBER | What do these different time range and geographical regions look like? If they are adjacent and non-overlapping, then xray could be a very good fit and I can help whip up an example to get you started. If this is not the case (and I know that can be an issue with satellite data), then it's going to be more awkward to put them together into a single logical Dataset. It might make more sense to work with individual Datasets, e.g., at the level of an individual satellite image. |
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