Use int64 numpy array

Author: howsiwei

pandas/tests/frame/indexing/test_indexing.py

@@ -223,10 +223,9 @@ def test_setitem_list_of_tuples(self, float_frame):
             ),
             (
                 ["A", "B", "C"],
-                np.array([7, 8, 9]),
+                np.array([7, 8, 9], dtype=np.int64),
                 pd.DataFrame(
-                    [[7, 8, 9], [7, 8, 9], [7, 8, 9]],
-                    columns=["A", "B", "C"],
+                    [[7, 8, 9], [7, 8, 9], [7, 8, 9]], columns=["A", "B", "C"]
                 ),
             ),
             (
@@ -239,7 +238,7 @@ def test_setitem_list_of_tuples(self, float_frame):
             ),
             (
                 ["C", "A", "D"],
-                np.array([[7, 8, 9], [10, 11, 12], [13, 14, 15]]),
+                np.array([[7, 8, 9], [10, 11, 12], [13, 14, 15]], dtype=np.int64),
                 pd.DataFrame(
                     [[8, 2, 7, 9], [11, 4, 10, 12], [14, 6, 13, 15]],
                     columns=["A", "B", "C", "D"],

pandas/tests/indexing/test_loc.py

@@ -771,7 +771,7 @@ def test_loc_setitem_with_scalar_index(self, indexer, value):
             ),
             (
                 (1, ["A", "B", "C"]),
-                np.array([7, 8, 9]),
+                np.array([7, 8, 9], dtype=np.int64),
                 pd.DataFrame(
                     [[1, 2, np.nan], [7, 8, 9], [5, 6, np.nan]],
                     columns=["A", "B", "C"],
@@ -787,7 +787,7 @@ def test_loc_setitem_with_scalar_index(self, indexer, value):
             ),
             (
                 (slice(1, 3, None), ["C", "A", "D"]),
-                np.array([[7, 8, 9], [10, 11, 12]]),
+                np.array([[7, 8, 9], [10, 11, 12]], dtype=np.int64),
                 pd.DataFrame(
                     [[1, 2, np.nan, np.nan], [8, 4, 7, 9], [11, 6, 10, 12]],
                     columns=["A", "B", "C", "D"],