issue_comments: 450692965
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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/2624#issuecomment-450692965 | https://api.github.com/repos/pydata/xarray/issues/2624 | 450692965 | MDEyOklzc3VlQ29tbWVudDQ1MDY5Mjk2NQ== | 1961038 | 2018-12-31T21:44:39Z | 2018-12-31T21:44:39Z | NONE | Ok, thanks all for the advice. Clearly further subdivisions of the multi-level variables are in order. However, working with a single level (sea-level pressure) from our CFSR datasets, I find that if I specify the chunksize on the Time dimension when using xr.open_mfdataset, the to_zarr function fails on the resulting dataset with a "non-uniform chunksize" error. If, however, I take the resulting dataset and "re-chunk" with the .chunk method, although the two datasets "look identical", the to_zarr write succeeds. Link to notebook: https://nbviewer.jupyter.org/url/www.atmos.albany.edu/facstaff/ktyle/temp/Xarray_to_zarr_ex1.ipynb |
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