issue_comments: 814462311
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/5085#issuecomment-814462311 | https://api.github.com/repos/pydata/xarray/issues/5085 | 814462311 | MDEyOklzc3VlQ29tbWVudDgxNDQ2MjMxMQ== | 34353851 | 2021-04-06T21:53:31Z | 2021-04-06T21:53:31Z | NONE | I think it is interesting the operations over the time axis with numpy reduce, and the ufuncs operations. From my point of view there are a lot of pandas and dask users who could learn to use xarray with that example or what they are using netcdf-4 and numpy directly. I have created the example from the library, and it is not problem to change it. But it shows a stagnation calculation, it was the intention. But i understand what xarray is climate focused and you know if the topic is interesting and the example is really useful for your project. For me xarray have been very useful. If you prefer another type of example, we could refactor it. Regards Javier Ruano. |
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