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- Selecting time with different variable and dimensions names · 4 ✖
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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314162435 | https://github.com/pydata/xarray/issues/1474#issuecomment-314162435 | https://api.github.com/repos/pydata/xarray/issues/1474 | MDEyOklzc3VlQ29tbWVudDMxNDE2MjQzNQ== | fmaussion 10050469 | 2017-07-10T16:37:45Z | 2017-07-10T16:37:45Z | MEMBER |
Yes, in this case definitely a good use case for a dict and |
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Selecting time with different variable and dimensions names 241714748 | |
314161175 | https://github.com/pydata/xarray/issues/1474#issuecomment-314161175 | https://api.github.com/repos/pydata/xarray/issues/1474 | MDEyOklzc3VlQ29tbWVudDMxNDE2MTE3NQ== | fmaussion 10050469 | 2017-07-10T16:33:05Z | 2017-07-10T16:33:05Z | MEMBER | I personally very much prefer the readability of I don't know however what's most used amongst other xarray users |
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Selecting time with different variable and dimensions names 241714748 | |
314152374 | https://github.com/pydata/xarray/issues/1474#issuecomment-314152374 | https://api.github.com/repos/pydata/xarray/issues/1474 | MDEyOklzc3VlQ29tbWVudDMxNDE1MjM3NA== | fmaussion 10050469 | 2017-07-10T16:02:48Z | 2017-07-10T16:02:48Z | MEMBER | have you tried the way it is done in the docs? http://xarray.pydata.org/en/latest/indexing.html#indexing-with-labeled-dimensions |
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Selecting time with different variable and dimensions names 241714748 | |
314112894 | https://github.com/pydata/xarray/issues/1474#issuecomment-314112894 | https://api.github.com/repos/pydata/xarray/issues/1474 | MDEyOklzc3VlQ29tbWVudDMxNDExMjg5NA== | fmaussion 10050469 | 2017-07-10T13:55:41Z | 2017-07-10T13:55:41Z | MEMBER | Somewhat not a direct answer to your question, but I see you are reading in WRF files. Have you considered using Salem's open_wrf_dataset on your files? It will solve some time related issues that these files have |
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Selecting time with different variable and dimensions names 241714748 |
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