remove extraneous okwarning. Use black correctly.

pandas-dev · jreback · Jan 5, 2020 · Jan 3, 2020 · Jan 3, 2020 · Jan 3, 2020
commit d5f365d165e48482e312a8801aa4b744749da777
diff --git a/doc/source/whatsnew/v0.19.0.rst b/doc/source/whatsnew/v0.19.0.rst
@@ -1198,7 +1198,6 @@ Sparse data structures now gained enhanced support of ``int64`` and ``bool`` ``d
 Previously, sparse data were ``float64`` dtype by default, even if all inputs were of ``int`` or ``bool`` dtype. You had to specify ``dtype`` explicitly to create sparse data with ``int64`` dtype. Also, ``fill_value`` had to be specified explicitly because the default was ``np.nan`` which doesn't appear in ``int64`` or ``bool`` data.
 
 .. code-block:: ipython
-   :okwarning:
 
    In [1]: pd.SparseArray([1, 2, 0, 0])
    Out[1]:

diff --git a/pandas/tests/arrays/sparse/test_accessor.py b/pandas/tests/arrays/sparse/test_accessor.py
@@ -69,7 +69,9 @@ def test_to_dense(self):
             {
                 "A": pd.arrays.SparseArray([1, 0], dtype=pd.SparseDtype("int64", 0)),
                 "B": pd.arrays.SparseArray([1, 0], dtype=pd.SparseDtype("int64", 1)),
-                "C": pd.arrays.SparseArray([1.0, 0.0], dtype=pd.SparseDtype("float64", 0.0)),
+                "C": pd.arrays.SparseArray(
+                    [1.0, 0.0], dtype=pd.SparseDtype("float64", 0.0)
+                ),
             },
             index=["b", "a"],
         )

diff --git a/pandas/tests/arrays/sparse/test_arithmetics.py b/pandas/tests/arrays/sparse/test_arithmetics.py
@@ -416,7 +416,8 @@ def test_with_zerodim_ndarray():
 
 @pytest.mark.parametrize("ufunc", [np.abs, np.exp])
 @pytest.mark.parametrize(
-    "arr", [pd.arrays.SparseArray([0, 0, -1, 1]), pd.arrays.SparseArray([None, None, -1, 1])]
+    "arr",
+    [pd.arrays.SparseArray([0, 0, -1, 1]), pd.arrays.SparseArray([None, None, -1, 1])],
 )
 def test_ufuncs(ufunc, arr):
     result = ufunc(arr)