issue_comments: 1364707378
This data as json
| 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/7401#issuecomment-1364707378 | https://api.github.com/repos/pydata/xarray/issues/7401 | 1364707378 | IC_kwDOAMm_X85RV8gy | 15239248 | 2022-12-25T16:38:03Z | 2022-12-25T16:38:03Z | NONE | I have actually manage to make it work with minimal modification of the source xarray code: ```python import xarray as xr import matplotlib.pyplot as plt import matplotlib as mpl def _pass(_,*__): pass mpl.figure.SubFigure.tight_layout = _pass da = xr.tutorial.open_dataset("air_temperature")['air'] fig:plt.Figure = plt.figure( constrained_layout=True, figsize = (24,22) ) (fig_top,fig_bot) = fig.subfigures(2,1) ( da.groupby(da['time'].dt.season) .mean() .plot(col='season',fig=fig_top) ) (
da.groupby(da['time'].dt.hour)
.mean()
.plot(col='hour', fig=fig_bot)
)
```
|
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