Fixed mismatching dtypes in tests

Author: cbertinato

pandas/tests/io/test_excel.py

@@ -1445,7 +1445,8 @@ def test_to_excel_interval_no_labels(self):
         _skip_if_no_xlrd()
 
         with ensure_clean(self.ext) as path:
-            frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)))
+            frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
+                              dtype=np.int64)
             expected = frame.copy()
             frame['new'] = pd.cut(frame[0], 10)
             expected['new'] = pd.cut(expected[0], 10).astype(str)
@@ -1459,7 +1460,8 @@ def test_to_excel_interval_labels(self):
         _skip_if_no_xlrd()
 
         with ensure_clean(self.ext) as path:
-            frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)))
+            frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
+                              dtype=np.int64)
             expected = frame.copy()
             intervals = pd.cut(frame[0], 10, labels=['A', 'B', 'C', 'D', 'E',
                                                      'F', 'G', 'H', 'I', 'J'])
@@ -1476,7 +1478,9 @@ def test_to_excel_timedelta(self):
 
         with ensure_clean('.xls') as path:
             frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
-                              columns=['A'])
+                              columns=['A'],
+                              dtype=np.int64
+                              )
             expected = frame.copy()
             frame['new'] = frame['A'].apply(lambda x: timedelta(seconds=x))
             expected['new'] = expected['A'].apply(