a few more

Author: jorisvandenbossche

pandas/tests/series/accessors/test_dt_accessor.py

@@ -10,8 +10,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 from pandas._libs.tslibs.timezones import maybe_get_tz
 
 from pandas.core.dtypes.common import (

pandas/tests/series/indexing/test_where.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 from pandas.core.dtypes.common import is_integer
 
 import pandas as pd
@@ -231,7 +229,6 @@ def test_where_ndframe_align():
     tm.assert_series_equal(out, expected)
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="can't set ints into string")
 def test_where_setitem_invalid():
     # GH 2702
     # make sure correct exceptions are raised on invalid list assignment
@@ -241,7 +238,7 @@ def test_where_setitem_invalid():
         "different length than the value"
     )
     # slice
-    s = Series(list("abc"))
+    s = Series(list("abc"), dtype=object)
 
     with pytest.raises(ValueError, match=msg("slice")):
         s[0:3] = list(range(27))
@@ -251,18 +248,18 @@ def test_where_setitem_invalid():
     tm.assert_series_equal(s.astype(np.int64), expected)
 
     # slice with step
-    s = Series(list("abcdef"))
+    s = Series(list("abcdef"), dtype=object)
 
     with pytest.raises(ValueError, match=msg("slice")):
         s[0:4:2] = list(range(27))
 
-    s = Series(list("abcdef"))
+    s = Series(list("abcdef"), dtype=object)
     s[0:4:2] = list(range(2))
     expected = Series([0, "b", 1, "d", "e", "f"])
     tm.assert_series_equal(s, expected)
 
     # neg slices
-    s = Series(list("abcdef"))
+    s = Series(list("abcdef"), dtype=object)
 
     with pytest.raises(ValueError, match=msg("slice")):
         s[:-1] = list(range(27))
@@ -272,18 +269,18 @@ def test_where_setitem_invalid():
     tm.assert_series_equal(s, expected)
 
     # list
-    s = Series(list("abc"))
+    s = Series(list("abc"), dtype=object)
 
     with pytest.raises(ValueError, match=msg("list-like")):
         s[[0, 1, 2]] = list(range(27))
 
-    s = Series(list("abc"))
+    s = Series(list("abc"), dtype=object)
 
     with pytest.raises(ValueError, match=msg("list-like")):
         s[[0, 1, 2]] = list(range(2))
 
     # scalar
-    s = Series(list("abc"))
+    s = Series(list("abc"), dtype=object)
     s[0] = list(range(10))
     expected = Series([list(range(10)), "b", "c"])
     tm.assert_series_equal(s, expected)

pandas/tests/series/methods/test_replace.py

@@ -3,8 +3,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 import pandas as pd
 import pandas._testing as tm
 from pandas.core.arrays import IntervalArray
@@ -628,15 +626,23 @@ def test_replace_nullable_numeric(self):
         with pytest.raises(TypeError, match="Invalid value"):
             ints.replace(1, 9.5)
 
-    @pytest.mark.xfail(using_string_dtype(), reason="can't fill 1 in string")
     @pytest.mark.parametrize("regex", [False, True])
     def test_replace_regex_dtype_series(self, regex):
         # GH-48644
-        series = pd.Series(["0"])
+        series = pd.Series(["0"], dtype=object)
         expected = pd.Series([1], dtype=object)
         result = series.replace(to_replace="0", value=1, regex=regex)
         tm.assert_series_equal(result, expected)
 
+    @pytest.mark.parametrize("regex", [False, True])
+    def test_replace_regex_dtype_series_string(self, regex, using_infer_string):
+        if not using_infer_string:
+            # then this is object dtype which is already tested above
+            return
+        series = pd.Series(["0"], dtype="str")
+        with pytest.raises(TypeError, match="Invalid value"):
+            series.replace(to_replace="0", value=1, regex=regex)
+
     def test_replace_different_int_types(self, any_int_numpy_dtype):
         # GH#45311
         labs = pd.Series([1, 1, 1, 0, 0, 2, 2, 2], dtype=any_int_numpy_dtype)
@@ -667,7 +673,7 @@ def test_replace_change_dtype_series(self):
         df["Test"] = df["Test"].replace([None], [np.nan])
         tm.assert_frame_equal(df, expected)
 
-        df = pd.DataFrame({"Test": ["0.5", None, "0.6"]},  dtype=object)
+        df = pd.DataFrame({"Test": ["0.5", None, "0.6"]}, dtype=object)
         df["Test"] = df["Test"].fillna(np.nan)
         tm.assert_frame_equal(df, expected)
 

pandas/tests/series/methods/test_unstack.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 import pandas as pd
 from pandas import (
     DataFrame,