Merge remote-tracking branch 'upstream/main' into feature/rolling-pad

* upstream/main:
  Save groupby codes after factorizing, pass to flox (pydata#7206)
  [skip-ci] Add compute to groupby benchmarks (pydata#7690)
  Delete built-in cfgrib backend (pydata#7670)
  Added a pronunciation guide to the word Xarray in the README.MD fil… (pydata#7677)
  boundarynorm fix (pydata#7553)
  Fix lazy negative slice rewriting. (pydata#7586)
  [pre-commit.ci] pre-commit autoupdate (pydata#7687)
  Adjust sidebar font colors (pydata#7674)
  Bump pypa/gh-action-pypi-publish from 1.8.1 to 1.8.3 (pydata#7682)
  Raise PermissionError when insufficient permissions (pydata#7629)

Author: dcherian

.github/workflows/pypi-release.yaml

@@ -72,7 +72,7 @@ jobs:
 
       - name: Publish package to TestPyPI
         if: github.event_name == 'push'
-        uses: pypa/[email protected].1
+        uses: pypa/[email protected].3
         with:
           user: __token__
           password: ${{ secrets.TESTPYPI_TOKEN }}
@@ -90,7 +90,7 @@ jobs:
           name: releases
           path: dist
       - name: Publish package to PyPI
-        uses: pypa/[email protected].1
+        uses: pypa/[email protected].3
         with:
           user: __token__
           password: ${{ secrets.PYPI_TOKEN }}

.github/workflows/testpypi-release.yaml

@@ -78,7 +78,7 @@ jobs:
 
       - name: Publish package to TestPyPI
         if: github.event_name == 'push'
-        uses: pypa/[email protected].1
+        uses: pypa/[email protected].3
         with:
           user: __token__
           password: ${{ secrets.TESTPYPI_TOKEN }}

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
         files: ^xarray/
   - repo: https://github.com/charliermarsh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.0.257'
+    rev: 'v0.0.259'
     hooks:
       - id: ruff
         args: ["--fix"]

README.md

@@ -11,7 +11,7 @@
 [![Examples on binder](https://img.shields.io/badge/launch-binder-579ACA.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/weather-data.ipynb)
 [![Twitter](https://img.shields.io/twitter/follow/xarray_dev?style=social)](https://twitter.com/xarray_dev)
 
-**xarray** (formerly **xray**) is an open source project and Python
+**xarray** (pronounced "ex-array", formerly known as **xray**) is an open source project and Python
 package that makes working with labelled multi-dimensional arrays
 simple, efficient, and fun!
 

asv_bench/benchmarks/groupby.py

@@ -1,3 +1,5 @@
+# import flox to avoid the cost of first import
+import flox.xarray  # noqa
 import numpy as np
 import pandas as pd
 
@@ -27,24 +29,24 @@ def time_init(self, ndim):
     @parameterized(["method", "ndim"], [("sum", "mean"), (1, 2)])
     def time_agg_small_num_groups(self, method, ndim):
         ds = getattr(self, f"ds{ndim}d")
-        getattr(ds.groupby("a"), method)()
+        getattr(ds.groupby("a"), method)().compute()
 
     @parameterized(["method", "ndim"], [("sum", "mean"), (1, 2)])
     def time_agg_large_num_groups(self, method, ndim):
         ds = getattr(self, f"ds{ndim}d")
-        getattr(ds.groupby("b"), method)()
+        getattr(ds.groupby("b"), method)().compute()
 
     def time_binary_op_1d(self):
-        self.ds1d.groupby("b") - self.ds1d_mean
+        (self.ds1d.groupby("b") - self.ds1d_mean).compute()
 
     def time_binary_op_2d(self):
-        self.ds2d.groupby("b") - self.ds2d_mean
+        (self.ds2d.groupby("b") - self.ds2d_mean).compute()
 
     def peakmem_binary_op_1d(self):
-        self.ds1d.groupby("b") - self.ds1d_mean
+        (self.ds1d.groupby("b") - self.ds1d_mean).compute()
 
     def peakmem_binary_op_2d(self):
-        self.ds2d.groupby("b") - self.ds2d_mean
+        (self.ds2d.groupby("b") - self.ds2d_mean).compute()
 
 
 class GroupByDask(GroupBy):
@@ -56,8 +58,8 @@ def setup(self, *args, **kwargs):
         self.ds1d["c"] = self.ds1d["c"].chunk({"dim_0": 50})
         self.ds2d = self.ds2d.sel(dim_0=slice(None, None, 2))
         self.ds2d["c"] = self.ds2d["c"].chunk({"dim_0": 50, "z": 5})
-        self.ds1d_mean = self.ds1d.groupby("b").mean()
-        self.ds2d_mean = self.ds2d.groupby("b").mean()
+        self.ds1d_mean = self.ds1d.groupby("b").mean().compute()
+        self.ds2d_mean = self.ds2d.groupby("b").mean().compute()
 
 
 class GroupByPandasDataFrame(GroupBy):
@@ -88,7 +90,7 @@ def setup(self, *args, **kwargs):
         requires_dask()
         super().setup(**kwargs)
         self.ds1d = self.ds1d.chunk({"dim_0": 50}).to_dataframe()
-        self.ds1d_mean = self.ds1d.groupby("b").mean()
+        self.ds1d_mean = self.ds1d.groupby("b").mean().compute()
 
     def time_binary_op_2d(self):
         raise NotImplementedError
@@ -116,12 +118,12 @@ def time_init(self, ndim):
     @parameterized(["method", "ndim"], [("sum", "mean"), (1, 2)])
     def time_agg_small_num_groups(self, method, ndim):
         ds = getattr(self, f"ds{ndim}d")
-        getattr(ds.resample(time="3M"), method)()
+        getattr(ds.resample(time="3M"), method)().compute()
 
     @parameterized(["method", "ndim"], [("sum", "mean"), (1, 2)])
     def time_agg_large_num_groups(self, method, ndim):
         ds = getattr(self, f"ds{ndim}d")
-        getattr(ds.resample(time="48H"), method)()
+        getattr(ds.resample(time="48H"), method)().compute()
 
 
 class ResampleDask(Resample):

ci/requirements/all-but-dask.yml

@@ -10,7 +10,6 @@ dependencies:
   - bottleneck
   - cartopy
   - cdms2
-  - cfgrib
   - cftime
   - coveralls
   - flox

ci/requirements/doc.yml

@@ -7,7 +7,6 @@ dependencies:
   - python=3.10
   - bottleneck
   - cartopy
-  - cfgrib>=0.9
   - dask-core>=2022.1
   - h5netcdf>=0.13
   - ipykernel

ci/requirements/environment-py311.yml

@@ -8,7 +8,6 @@ dependencies:
   - bottleneck
   - cartopy
   # - cdms2
-  - cfgrib
   - cftime
   - dask-core
   - distributed

ci/requirements/environment-windows-py311.yml

@@ -6,7 +6,6 @@ dependencies:
   - bottleneck
   - cartopy
   # - cdms2  # Not available on Windows
-  # - cfgrib  # Causes Python interpreter crash on Windows: https://github.com/pydata/xarray/pull/3340
   - cftime
   - dask-core
   - distributed

ci/requirements/environment-windows.yml

@@ -6,7 +6,6 @@ dependencies:
   - bottleneck
   - cartopy
   # - cdms2  # Not available on Windows
-  # - cfgrib  # Causes Python interpreter crash on Windows: https://github.com/pydata/xarray/pull/3340
   - cftime
   - dask-core
   - distributed