issue_comments: 1494018319
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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/7552#issuecomment-1494018319 | https://api.github.com/repos/pydata/xarray/issues/7552 | 1494018319 | IC_kwDOAMm_X85ZDOkP | 85181086 | 2023-04-03T09:51:16Z | 2023-04-08T11:37:40Z | NONE | The reason why you are getting a KeyError in your first example when trying to plot with col='y' is because when y is a dimension with length 1, xarray automatically drops the dimension and promotes its coordinates to 1D. In your example, the y dimension has length 1, so it is dropped, and da.coords['y'] returns a scalar value rather than a 1D coordinate array. When you try to plot with col='y', xarray looks for the 'y' key in the coordinates dictionary, which doesn't exist, hence the KeyError. To work around this, you can manually promote the y coordinate to a 1D array using the expand_dims method: ``` import xarray as xr import numpy as np da = xr.DataArray(np.random.rand(3,1), dims=('x', 'y')) da.coords['y'] = da.coords['y'].expand_dims('y') da.plot(col='y') ``` This will ensure that the y coordinate is always a 1D array, even when the dimension it represents has length 1. |
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