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- Query about concat · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 76890735 | https://github.com/pydata/xarray/issues/349#issuecomment-76890735 | https://api.github.com/repos/pydata/xarray/issues/349 | MDEyOklzc3VlQ29tbWVudDc2ODkwNzM1 | JoyMonteiro 7300413 | 2015-03-03T05:45:50Z | 2015-03-03T05:45:50Z | NONE | Thanks. But that really kills my machine, even though I have 12 GB of RAM. What I finally ended up doing is slicing the initial dataset created from one nc file to access the level+variable that I wanted. This gives me a DataArray object which I then xray.concat() with similar objects created from other variables. |
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Query about concat 59467251 | |
| 76883017 | https://github.com/pydata/xarray/issues/349#issuecomment-76883017 | https://api.github.com/repos/pydata/xarray/issues/349 | MDEyOklzc3VlQ29tbWVudDc2ODgzMDE3 | JoyMonteiro 7300413 | 2015-03-03T03:57:55Z | 2015-03-03T03:57:55Z | NONE | No, not really. each file contains one year of data for four variables, and I have 35 files (1979-...) I tried Dataset.merge as you suggested, but it says conflicting value for variable time, which I guess is what you would expect. Can xray modify the nc file to make the time dimension unlimited? then I could simply use something like MFDataset... TIA, Joy |
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Query about concat 59467251 |
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