fixup

Author: MarcoGorelli

pandas/tests/dtypes/test_generic.py

@@ -18,9 +18,9 @@
 class TestABCClasses:
     tuples = [[1, 2, 2], ["red", "blue", "red"]]
     multi_index = pd.MultiIndex.from_arrays(tuples, names=("number", "color"))
-    datetime_index = pd.to_datetime(["2000/1/1", "2010/1/1"])
+    datetime_index = pd.to_datetime(["1/1/2000", "1/1/2010"])
     timedelta_index = pd.to_timedelta(np.arange(5), unit="s")
-    period_index = pd.period_range("2000/1/1", "2010/1/1/", freq="M")
+    period_index = pd.period_range("1/1/2000", "1/1/2010", freq="M")
     categorical = pd.Categorical([1, 2, 3], categories=[2, 3, 1])
     categorical_df = pd.DataFrame({"values": [1, 2, 3]}, index=categorical)
     df = pd.DataFrame({"names": ["a", "b", "c"]}, index=multi_index)

pandas/tests/groupby/test_quantile.py

@@ -28,8 +28,8 @@
         ([np.nan, 4.0, np.nan, 2.0, np.nan], [np.nan, 4.0, np.nan, 2.0, np.nan]),
         # Timestamps
         (
-            list(pd.date_range("1/1/18", freq="D", periods=5)),
-            list(pd.date_range("1/1/18", freq="D", periods=5))[::-1],
+            list(pd.date_range("1/1/2018", freq="D", periods=5)),
+            list(pd.date_range("1/1/2018", freq="D", periods=5))[::-1],
         ),
         # All NA
         ([np.nan] * 5, [np.nan] * 5),

pandas/tests/io/parser/test_parse_dates.py

@@ -773,7 +773,7 @@ def test_nat_parse(all_parsers):
     # see gh-3062
     parser = all_parsers
     df = DataFrame(
-        dict({"A": np.arange(10, dtype="float64"), "B": Timestamp("20010101")})
+        dict({"A": np.arange(10, dtype="float64"), "B": Timestamp("2001-01-01")})
     )
     df.iloc[3:6, :] = np.nan
 
@@ -1604,7 +1604,9 @@ def date_parser(dt, time):
             arr = [datetime.combine(d, t) for d, t in zip(dt, time)]
         return np.array(arr, dtype="datetime64[s]")
 
-    result = parser.read_csv(
+    result = parser.read_csv_with_warnings(
+        UserWarning,
+        "without a format specified",
         StringIO(data),
         date_parser=date_parser,
         parse_dates={"datetime": ["date", "time"]},
@@ -1626,12 +1628,7 @@ def test_parse_date_column_with_empty_string(all_parsers):
     # see gh-6428
     parser = all_parsers
     data = "case,opdate\n7,10/18/2006\n7,10/18/2008\n621, "
-    result = parser.read_csv_check_warnings(
-        UserWarning,
-        "Parsing datetime strings without a format specified",
-        StringIO(data),
-        parse_dates=["opdate"],
-    )
+    result = parser.read_csv(StringIO(data), parse_dates=["opdate"])
 
     expected_data = [[7, "10/18/2006"], [7, "10/18/2008"], [621, " "]]
     expected = DataFrame(expected_data, columns=["case", "opdate"])