ns instead of units for some tests

Author: atbd

pandas/tests/indexes/datetimes/test_tools.py

@@ -391,10 +391,10 @@ def test_unit_with_numeric(self):
         arr1 = [1.434692e+18, 1.432766e+18]
         arr2 = np.array(arr1).astype('int64')
         for errors in ['ignore', 'raise', 'coerce']:
-            result = pd.to_datetime(arr1, unit=units, errors=errors)
+            result = pd.to_datetime(arr1, unit='ns', errors=errors)
             self.assert_index_equal(result, expected)
 
-            result = pd.to_datetime(arr2, unit=units, errors=errors)
+            result = pd.to_datetime(arr2, unit='ns', errors=errors)
             self.assert_index_equal(result, expected)
 
         # but we want to make sure that we are coercing
@@ -403,15 +403,15 @@ def test_unit_with_numeric(self):
                                   '2015-06-19 05:33:20',
                                   '2015-05-27 22:33:20'])
         arr = ['foo', 1.434692e+18, 1.432766e+18]
-        result = pd.to_datetime(arr, unit=units, errors='coerce')
+        result = pd.to_datetime(arr, unit='ns', errors='coerce')
         self.assert_index_equal(result, expected)
 
         expected = DatetimeIndex(['2015-06-19 05:33:20',
                                   '2015-05-27 22:33:20',
                                   'NaT',
                                   'NaT'])
         arr = [1.434692e+18, 1.432766e+18, 'foo', 'NaT']
-        result = pd.to_datetime(arr, unit=units, errors='coerce')
+        result = pd.to_datetime(arr, unit='ns', errors='coerce')
         self.assert_index_equal(result, expected)
 
     def test_unit_mixed(self):
@@ -423,17 +423,17 @@ def test_unit_mixed(self):
         self.assert_index_equal(result, expected)
 
         with self.assertRaises(ValueError):
-            pd.to_datetime(arr, unit=units, errors='raise')
+            pd.to_datetime(arr, unit='ns', errors='raise')
 
         expected = DatetimeIndex(['NaT',
                                   'NaT',
                                   '2013-01-01'])
         arr = [1.434692e+18, 1.432766e+18, pd.Timestamp('20130101')]
-        result = pd.to_datetime(arr, unit=units, errors='coerce')
+        result = pd.to_datetime(arr, unit='ns', errors='coerce')
         self.assert_index_equal(result, expected)
 
         with self.assertRaises(ValueError):
-            pd.to_datetime(arr, unit=units, errors='raise')
+            pd.to_datetime(arr, unit='ns', errors='raise')
 
     def test_dataframe(self):