update arrays, base, dtypes tests

Author: jorisvandenbossche

pandas/tests/arrays/test_array.py

@@ -127,7 +127,7 @@ def test_dt64_array(dtype_unit):
         (
             pd.DatetimeIndex(["2000", "2001"]),
             None,
-            DatetimeArray._from_sequence(["2000", "2001"], dtype="M8[s]"),
+            DatetimeArray._from_sequence(["2000", "2001"], dtype="M8[us]"),
         ),
         (
             ["2000", "2001"],
@@ -324,7 +324,7 @@ def test_array_copy():
         # datetime
         (
             [pd.Timestamp("2000"), pd.Timestamp("2001")],
-            DatetimeArray._from_sequence(["2000", "2001"], dtype="M8[s]"),
+            DatetimeArray._from_sequence(["2000", "2001"], dtype="M8[us]"),
         ),
         (
             [datetime.datetime(2000, 1, 1), datetime.datetime(2001, 1, 1)],
@@ -335,16 +335,16 @@ def test_array_copy():
             DatetimeArray._from_sequence(np.array([1, 2], dtype="M8[ns]")),
         ),
         (
-            np.array([1, 2], dtype="M8[us]"),
+            np.array([1, 2], dtype="M8[s]"),
             DatetimeArray._simple_new(
-                np.array([1, 2], dtype="M8[us]"), dtype=np.dtype("M8[us]")
+                np.array([1, 2], dtype="M8[s]"), dtype=np.dtype("M8[s]")
             ),
         ),
         # datetimetz
         (
             [pd.Timestamp("2000", tz="CET"), pd.Timestamp("2001", tz="CET")],
             DatetimeArray._from_sequence(
-                ["2000", "2001"], dtype=pd.DatetimeTZDtype(tz="CET", unit="s")
+                ["2000", "2001"], dtype=pd.DatetimeTZDtype(tz="CET", unit="us")
             ),
         ),
         (

pandas/tests/base/test_conversion.py

@@ -447,7 +447,7 @@ def test_to_numpy_dtype(as_series):
             [Timestamp("2000"), Timestamp("2000"), pd.NaT],
             None,
             Timestamp("2000"),
-            [np.datetime64("2000-01-01T00:00:00", "s")] * 3,
+            [np.datetime64("2000-01-01T00:00:00", "us")] * 3,
         ),
     ],
 )
@@ -489,7 +489,7 @@ def test_to_numpy_na_value_numpy_dtype(
             [(0, Timestamp("2021")), (0, Timestamp("2022")), (1, Timestamp("2000"))],
             None,
             Timestamp("2000"),
-            [np.datetime64("2000-01-01T00:00:00", "s")] * 3,
+            [np.datetime64("2000-01-01T00:00:00", "us")] * 3,
         ),
     ],
 )

pandas/tests/dtypes/cast/test_infer_dtype.py

@@ -155,8 +155,8 @@ def test_infer_dtype_from_scalar_errors():
         (1, np.int64),
         (1.5, np.float64),
         (np.datetime64("2016-01-01"), np.dtype("M8[s]")),
-        (Timestamp("20160101"), np.dtype("M8[s]")),
-        (Timestamp("20160101", tz="UTC"), "datetime64[s, UTC]"),
+        (Timestamp("20160101"), np.dtype("M8[us]")),
+        (Timestamp("20160101", tz="UTC"), "datetime64[us, UTC]"),
     ],
 )
 def test_infer_dtype_from_scalar(value, expected, using_infer_string):