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626083981 MDExOlB1bGxSZXF1ZXN0NDI0MTUwNjA0 4102 cache rasterio example files keewis 14808389 closed 0     17 2020-05-27T22:43:04Z 2021-03-24T17:58:48Z 2021-03-24T17:56:49Z MEMBER   0 pydata/xarray/pulls/4102

To make building the documentation a bit faster (by 5-10 minutes for me), this adds a xr.tutorial.open_rasterio function with a signature and behavior that is almost identical to tutorial.open_dataset (when we replace the open_* functions with open_dataset(..., format="...") we should do that for the tutorial functions, too).

It uses requests.get instead of urllib.request.urlretrieve so that would be a new dependency. I'm not sure if that's an issue since it's installed in the bare-minimum CI's environment.

The tutorial.open_dataset code could be rewritten to use the same structure but I wanted to get feedback on open_rasterio first.

Edit: I also changed the default cache directory to ~/.cache/xarray_tutorial_data with a fallback to the old default if ~/.cache does not exist

  • [x] Closes #3986
  • [x] Tests added (but that's just a comparison between cached and uncached)
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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     xarray 13221727 pull
443157666 MDExOlB1bGxSZXF1ZXN0Mjc4MDg4MTA1 2956 Picking up #1118: Do not convert subclasses of `ndarray` unless required keewis 14808389 closed 0     17 2019-05-12T23:12:43Z 2019-12-25T14:14:00Z 2019-12-25T14:11:45Z MEMBER   0 pydata/xarray/pulls/2956

This picks up the work done in #1118, plus converting the unittest based tests to pytest (since that seems to be used in the other tests).

closes #1118

Some of the suggestions there are not implemented yet: * the disabling of bottleneck if a ndarray subclass is used * testing for operations like xarray.concat. This does not work with any of the unit libraries (at least, pint, astropy.units, unyt and quantities don't support it yet). * testing with other unit libraries that use subclasses (e.g. astropy.units or unyt) * renaming the test file to test_units_subclass.py * fix indexing (NumpyIndexingAdapter)

The requirements files for CI changed since then, so maybe more than the two right now need the quantities entry.

 
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     xarray 13221727 pull
522523336 MDExOlB1bGxSZXF1ZXN0MzQwNzA5MjI0 3527 Add DatasetGroupBy.quantile keewis 14808389 closed 0     17 2019-11-13T23:03:07Z 2019-11-15T23:55:14Z 2019-11-15T19:58:02Z MEMBER   0 pydata/xarray/pulls/3527

This adds DatasetGroupBy.quantile by moving DataArrayGroupBy.quantile to GroupBy as proposed in https://github.com/pydata/xarray/issues/3018#issuecomment-507749287.

The tests are a modified copy of the ones from #2828. What confuses me is that expected_yy in test_ds_groupby_quantile needs the transpose whereas the equivalent in test_da_groupby_quantile doesn't. Does anyone have an idea about why that is?

  • [x] Closes #3525
  • [x] Tests added
  • [x] Passes black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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     xarray 13221727 pull

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