Move test to TestDataFrameIndexingCategorical, add issue number

Author: keechongtan

pandas/tests/frame/test_indexing.py

@@ -204,15 +204,6 @@ def test_setitem_list_of_tuples(self, float_frame):
         expected = Series(tuples, index=float_frame.index, name="tuples")
         tm.assert_series_equal(result, expected)
 
-    def test_setitem_single_row_categorical(self):
-        df = DataFrame({"Alpha": ["a"], "Numeric": [0]})
-        categories = pd.Categorical(df["Alpha"], categories=["a", "b", "c"])
-        df.loc[:, "Alpha"] = categories
-
-        result = df["Alpha"]
-        expected = Series(categories, index=df.index, name="Alpha")
-        tm.assert_series_equal(result, expected)
-
     def test_setitem_mulit_index(self):
         # GH7655, test that assigning to a sub-frame of a frame
         # with multi-index columns aligns both rows and columns
@@ -3858,6 +3849,16 @@ def test_assigning_ops(self):
         df.loc[2:3, "b"] = Categorical(["b", "b"], categories=["a", "b"])
         tm.assert_frame_equal(df, exp)
 
+    def test_setitem_single_row_categorical(self):
+        # GH 25495
+        df = DataFrame({"Alpha": ["a"], "Numeric": [0]})
+        categories = pd.Categorical(df["Alpha"], categories=["a", "b", "c"])
+        df.loc[:, "Alpha"] = categories
+
+        result = df["Alpha"]
+        expected = Series(categories, index=df.index, name="Alpha")
+        tm.assert_series_equal(result, expected)
+
     def test_functions_no_warnings(self):
         df = DataFrame({"value": np.random.randint(0, 100, 20)})
         labels = ["{0} - {1}".format(i, i + 9) for i in range(0, 100, 10)]