update tests

Author: jbrockmendel

pandas/tests/frame/methods/test_reset_index.py

@@ -71,9 +71,7 @@ def test_reset_index_tz(self, tz_aware_fixture):
         # GH 3950
         # reset_index with single level
         tz = tz_aware_fixture
-        idx = date_range("1/1/2011", periods=5, freq="D", tz=tz, name="idx").as_unit(
-            "us"
-        )
+        idx = date_range("1/1/2011", periods=5, freq="D", tz=tz, name="idx")
         df = DataFrame({"a": range(5), "b": ["A", "B", "C", "D", "E"]}, index=idx)
 
         expected = DataFrame(
@@ -480,12 +478,9 @@ def test_reset_index_allow_duplicates_check(self, multiindex_df, allow_duplicate
     def test_reset_index_datetime(self, tz_naive_fixture):
         # GH#3950
         tz = tz_naive_fixture
-        idx1 = date_range(
-            "1/1/2011", periods=5, freq="D", tz=tz, name="idx1", unit="us"
-        )
+        idx1 = date_range("1/1/2011", periods=5, freq="D", tz=tz, name="idx1")
         idx2 = Index(range(5), name="idx2", dtype="int64")
         idx = MultiIndex.from_arrays([idx1, idx2])
-        assert idx.levels[0].unit == "us"
         df = DataFrame(
             {"a": np.arange(5, dtype="int64"), "b": ["A", "B", "C", "D", "E"]},
             index=idx,
@@ -508,7 +503,7 @@ def test_reset_index_datetime2(self, tz_naive_fixture):
         idx1 = date_range("1/1/2011", periods=5, freq="D", tz=tz, name="idx1")
         idx2 = Index(range(5), name="idx2", dtype="int64")
         idx3 = date_range(
-            "1/1/2012", periods=5, freq="MS", tz="Europe/Paris", name="idx3", unit="us"
+            "1/1/2012", periods=5, freq="MS", tz="Europe/Paris", name="idx3"
         )
         idx = MultiIndex.from_arrays([idx1, idx2, idx3])
         df = DataFrame(
@@ -532,7 +527,7 @@ def test_reset_index_datetime2(self, tz_naive_fixture):
     def test_reset_index_datetime3(self, tz_naive_fixture):
         # GH#7793
         tz = tz_naive_fixture
-        dti = date_range("20130101", periods=3, tz=tz, unit="us")
+        dti = date_range("20130101", periods=3, tz=tz)
         idx = MultiIndex.from_product([["a", "b"], dti])
         df = DataFrame(
             np.arange(6, dtype="int64").reshape(6, 1), columns=["a"], index=idx
@@ -700,13 +695,16 @@ def test_reset_index_empty_frame_with_datetime64_multiindex_from_groupby():
 def test_reset_index_multiindex_nat():
     # GH 11479
     idx = range(3)
-    tstamp = date_range("2015-07-01", freq="D", periods=3, unit="s")
+    tstamp = date_range("2015-07-01", freq="D", periods=3)
     df = DataFrame({"id": idx, "tstamp": tstamp, "a": list("abc")})
     df.loc[2, "tstamp"] = pd.NaT
     result = df.set_index(["id", "tstamp"]).reset_index("id")
+    dti = pd.DatetimeIndex(
+        ["2015-07-01", "2015-07-02", "NaT"], dtype="M8[ns]", name="tstamp"
+    )
     expected = DataFrame(
         {"id": range(3), "a": list("abc")},
-        index=pd.DatetimeIndex(["2015-07-01", "2015-07-02", "NaT"], name="tstamp"),
+        index=dti,
     )
     tm.assert_frame_equal(result, expected)
 

pandas/tests/indexing/test_coercion.py

@@ -918,8 +918,6 @@ def test_replace_series_datetime_datetime(self, how, to_key, from_key, replacer)
             exp = exp.astype(obj.dtype)
             warn = None
         else:
-            # exp = exp.dt.as_unit("ns")
-            # assert exp.dtype == to_key
             if to_key == from_key:
                 warn = None
                 exp = exp.dt.as_unit("ns")

pandas/tests/tools/test_to_datetime.py

@@ -635,7 +635,7 @@ def test_to_datetime_mixed_date_and_string(self, format):
         # https://github.com/pandas-dev/pandas/issues/50108
         d1 = date(2020, 1, 2)
         res = to_datetime(["2020-01-01", d1], format=format)
-        expected = DatetimeIndex(["2020-01-01", "2020-01-02"], dtype="M8[ns]")
+        expected = DatetimeIndex(["2020-01-01", "2020-01-02"], dtype="M8[s]")
         tm.assert_index_equal(res, expected)
 
     @pytest.mark.parametrize(