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- Concatenate across multiple dimensions with open_mfdataset · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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399319465 | https://github.com/pydata/xarray/issues/2159#issuecomment-399319465 | https://api.github.com/repos/pydata/xarray/issues/2159 | MDEyOklzc3VlQ29tbWVudDM5OTMxOTQ2NQ== | aidanheerdegen 6063709 | 2018-06-22T04:47:36Z | 2018-06-22T04:47:36Z | CONTRIBUTOR | 👍 for this feature |
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Concatenate across multiple dimensions with open_mfdataset 324350248 | |
390670582 | https://github.com/pydata/xarray/issues/2159#issuecomment-390670582 | https://api.github.com/repos/pydata/xarray/issues/2159 | MDEyOklzc3VlQ29tbWVudDM5MDY3MDU4Mg== | chiaral 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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Concatenate across multiple dimensions with open_mfdataset 324350248 |
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