issue_comments: 777451036
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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/4859#issuecomment-777451036 | https://api.github.com/repos/pydata/xarray/issues/4859 | 777451036 | MDEyOklzc3VlQ29tbWVudDc3NzQ1MTAzNg== | 5821660 | 2021-02-11T13:19:43Z | 2021-02-11T13:19:43Z | MEMBER | @kniperl You can test with #4893. This should fix the But It seems that converting to string objects is by design (using "netcdf4"). ```python coils = np.array(["A", "B", "C", "D", "E"]) test_ds = xr.Dataset() test_ds.coords["coils"] = coils print(test_ds)
test_ds.to_netcdf("test_netcdf4.nc", engine="netcdf4") del test_ds test_ds = xr.open_dataset("test_netcdf4.nc", engine="netcdf4") print(test_ds)
``` |
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