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Add dt.date to plottable types #8873
Add dt.date to plottable types #8873
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Thank you for opening this pull request! It may take us a few days to respond here, so thank you for being patient. |
for more information, see https://pre-commit.ci
…xarray into enable-date-type-in-plots
for more information, see https://pre-commit.ci
Could you add a test in https://github.com/pydata/xarray/blob/main/xarray/tests/test_plot.py so we don't regress? |
Sure! Shall I just check whether it plots ? Something like this |
…xarray into enable-date-type-in-plots
for more information, see https://pre-commit.ci
I added the |
…ate-type-in-plots
…xarray into enable-date-type-in-plots
Quick question: Would it be worth it to un-gitignore your .vscode folder? |
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Nice work. Thanks!
* main: (26 commits) [pre-commit.ci] pre-commit autoupdate (pydata#8900) Bump the actions group with 1 update (pydata#8896) New empty whatsnew entry (pydata#8899) Update reference to 'Weighted quantile estimators' (pydata#8898) 2024.03.0: Add whats-new (pydata#8891) Add typing to test_groupby.py (pydata#8890) Avoid in-place multiplication of a large value to an array with small integer dtype (pydata#8867) Check for aligned chunks when writing to existing variables (pydata#8459) Add dt.date to plottable types (pydata#8873) Optimize writes to existing Zarr stores. (pydata#8875) Allow multidimensional variable with same name as dim when constructing dataset via coords (pydata#8886) Don't allow overwriting indexes with region writes (pydata#8877) Migrate datatree.py module into xarray.core. (pydata#8789) warn and return bytes undecoded in case of UnicodeDecodeError in h5netcdf-backend (pydata#8874) groupby: Dispatch quantile to flox. (pydata#8720) Opt out of auto creating index variables (pydata#8711) Update docs on view / copies (pydata#8744) Handle .oindex and .vindex for the PandasMultiIndexingAdapter and PandasIndexingAdapter (pydata#8869) numpy 2.0 copy-keyword and trapz vs trapezoid (pydata#8865) upstream-dev CI: Fix interp and cumtrapz (pydata#8861) ...
Simply adds
datetime.date
to plottable types in_ensure_plottable
in plot/utils.pyL675 to enable the plotting of dates.Matplotlib handles
date
types automatically, so I think there is no other change needed.Do I need to add a test for this? Any pointers on where I would put it that?
whats-new.rst
api.rst