Fix typos found by codespell (#8457)

doc/internals/interoperability.rst

@@ -36,9 +36,9 @@ it is entirely possible today to:
 - track the physical units of the data through computations (e.g via `pint-xarray <https://pint-xarray.readthedocs.io/en/stable/>`_),
 - query the data via custom index logic optimized for specific applications (e.g. an :py:class:`~xarray.Index` object backed by a KDTree structure),
 - attach domain-specific logic via accessor methods (e.g. to understand geographic Coordinate Reference System metadata),
-- organize hierarchical groups of xarray data in a :py:class:`~datatree.DataTree` (e.g. to treat heterogenous simulation and observational data together during analysis).
+- organize hierarchical groups of xarray data in a :py:class:`~datatree.DataTree` (e.g. to treat heterogeneous simulation and observational data together during analysis).
 
-All of these features can be provided simultaneously, using libaries compatible with the rest of the scientific python ecosystem.
+All of these features can be provided simultaneously, using libraries compatible with the rest of the scientific python ecosystem.
 In this situation xarray would be essentially a thin wrapper acting as pure-python framework, providing a common interface and
 separation of concerns via various domain-agnostic abstractions.
 

xarray/core/dataset.py

@@ -10075,7 +10075,7 @@ def groupby(
             Tutorial on :py:func:`~xarray.Dataset.Groupby` for windowed computation.
 
         :doc:`xarray-tutorial:fundamentals/03.2_groupby_with_xarray`
-            Tutorial on :py:func:`~xarray.Dataset.Groupby` demonstrating reductions, transformation and comparision with :py:func:`~xarray.Dataset.resample`.
+            Tutorial on :py:func:`~xarray.Dataset.Groupby` demonstrating reductions, transformation and comparison with :py:func:`~xarray.Dataset.resample`.
 
         Dataset.groupby_bins
         DataArray.groupby

xarray/tests/test_duck_array_ops.py

@@ -500,7 +500,7 @@ def test_reduce(dim_num, dtype, dask, func, skipna, aggdim):
         expected = getattr(da.compute(), func)(skipna=skipna, dim=aggdim)
         assert_allclose(actual, expected, rtol=rtol)
 
-        # make sure the compatiblility with pandas' results.
+        # make sure the compatibility with pandas' results.
         if func in ["var", "std"]:
             expected = series_reduce(da, func, skipna=skipna, dim=aggdim, ddof=0)
             assert_allclose(actual, expected, rtol=rtol)

xarray/util/generate_aggregations.py

@@ -350,7 +350,7 @@ def generate_method(self, method):
 
         yield TEMPLATE_RETURNS.format(**template_kwargs)
 
-        # we want Datset.count to refer to DataArray.count
+        # we want Dataset.count to refer to DataArray.count
         # but we also want DatasetGroupBy.count to refer to Dataset.count
         # The generic aggregations have self.cls == ''
         others = (