CLN: Assorted

README.md

@@ -90,14 +90,18 @@ Package Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://do
 
 ```sh
 # conda
-conda install pandas
+conda install -c conda-forge pandas
 ```
 
 ```sh
 # or PyPI
 pip install pandas
 ```
 
+The list of changes to pandas between each release can be found
+[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
+details, see the commit logs at https://github.com/pandas-dev/pandas.
+
 ## Dependencies
 - [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)
 - [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)

pandas/tests/arrays/sparse/test_accessor.py

@@ -29,16 +29,14 @@ def test_get_attributes(self, attr):
         expected = getattr(arr, attr)
         assert result == expected
 
-    @td.skip_if_no_scipy
     def test_from_coo(self):
-        import scipy.sparse
+        scipy_sparse = pytest.importorskip("scipy.sparse")
 
         row = [0, 3, 1, 0]
         col = [0, 3, 1, 2]
         data = [4, 5, 7, 9]
-        # TODO(scipy#13585): Remove dtype when scipy is fixed
-        # https://github.com/scipy/scipy/issues/13585
-        sp_array = scipy.sparse.coo_matrix((data, (row, col)), dtype="int")
+
+        sp_array = scipy_sparse.coo_matrix((data, (row, col)))
         result = pd.Series.sparse.from_coo(sp_array)
 
         index = pd.MultiIndex.from_arrays(