Merge branch 'master' into assign_err

Author: nickleus27

asv_bench/asv.conf.json

@@ -39,7 +39,7 @@
     // followed by the pip installed packages).
     "matrix": {
         "numpy": [],
-        "Cython": ["0.29.21"],
+        "Cython": ["0.29.24"],
         "matplotlib": [],
         "sqlalchemy": [],
         "scipy": [],

environment.yml

@@ -15,7 +15,7 @@ dependencies:
   # The compiler packages are meta-packages and install the correct compiler (activation) packages on the respective platforms.
   - c-compiler
   - cxx-compiler
-  - cython>=0.29.21
+  - cython>=0.29.24
 
   # code checks
   - black=21.5b2

pandas/core/arrays/sparse/scipy_sparse.py

@@ -181,7 +181,7 @@ def coo_to_sparse_series(
 
     Parameters
     ----------
-    A : scipy.sparse.coo.coo_matrix
+    A : scipy.sparse.coo_matrix
     dense_index : bool, default False
 
     Returns

pandas/tests/arrays/sparse/test_array.py

@@ -1255,7 +1255,7 @@ def test_to_coo(
         A, rows, cols = ss.sparse.to_coo(
             row_levels=(0, 1), column_levels=(2, 3), sort_labels=sort_labels
         )
-        assert isinstance(A, scipy.sparse.coo.coo_matrix)
+        assert isinstance(A, scipy.sparse.coo_matrix)
         tm.assert_numpy_array_equal(A.toarray(), expected_A)
         assert rows == expected_rows
         assert cols == expected_cols

pandas/tests/window/test_rolling.py

@@ -1634,6 +1634,7 @@ def test_rolling_quantile_np_percentile():
     tm.assert_almost_equal(df_quantile.values, np.array(np_percentile))
 
 
+@pytest.mark.xfail(reason="GH#44343", strict=False)
 @pytest.mark.parametrize("quantile", [0.0, 0.1, 0.45, 0.5, 1])
 @pytest.mark.parametrize(
     "interpolation", ["linear", "lower", "higher", "nearest", "midpoint"]

requirements-dev.txt

@@ -5,7 +5,7 @@ numpy>=1.18.5
 python-dateutil>=2.8.1
 pytz
 asv
-cython>=0.29.21
+cython>=0.29.24
 black==21.5b2
 cpplint
 flake8==3.9.2