diff --git a/pandas/core/arrays/string_.py b/pandas/core/arrays/string_.py
index 7227ea77ca433..ac758d0ef093c 100644
--- a/pandas/core/arrays/string_.py
+++ b/pandas/core/arrays/string_.py
@@ -123,10 +123,10 @@ class StringDtype(StorageExtensionDtype):
Examples
--------
>>> pd.StringDtype()
- string[python]
+ <StringDtype(storage='python', na_value=<NA>)>
>>> pd.StringDtype(storage="pyarrow")
- string[pyarrow]
+ <StringDtype(na_value=<NA>)>
"""
@property
@@ -198,11 +198,8 @@ def __init__(
self._na_value = na_value
def __repr__(self) -> str:
- if self._na_value is libmissing.NA:
- return f"{self.name}[{self.storage}]"
- else:
- # TODO add more informative repr
- return self.name
+ storage = "" if self.storage == "pyarrow" else "storage='python', "
+ return f"<StringDtype({storage}na_value={self._na_value})>"
def __eq__(self, other: object) -> bool:
# we need to override the base class __eq__ because na_value (NA or NaN)
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 0c3f535df9ce2..260fae663a4de 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -6809,12 +6809,12 @@ def convert_dtypes(
2 3 z <NA> <NA> 20 200.0
>>> dfn.dtypes
- a Int32
- b string[python]
- c boolean
- d string[python]
- e Int64
- f Float64
+ a Int32
+ b string
+ c boolean
+ d string
+ e Int64
+ f Float64
dtype: object
Start with a Series of strings and missing data represented by ``np.nan``.
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index b7fbc4e5e22b7..36bfc261e75c1 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -67,7 +67,6 @@
ExtensionArray,
TimedeltaArray,
)
-from pandas.core.arrays.string_ import StringDtype
from pandas.core.base import PandasObject
import pandas.core.common as com
from pandas.core.indexes.api import (
@@ -1218,8 +1217,6 @@ def _format(x):
return self.na_rep
elif isinstance(x, PandasObject):
return str(x)
- elif isinstance(x, StringDtype):
- return repr(x)
else:
# object dtype
return str(formatter(x))
diff --git a/pandas/tests/arrays/string_/test_string.py b/pandas/tests/arrays/string_/test_string.py
index 336a0fef69170..5670fad7e2f4f 100644
--- a/pandas/tests/arrays/string_/test_string.py
+++ b/pandas/tests/arrays/string_/test_string.py
@@ -103,6 +103,18 @@ def test_repr(dtype):
assert repr(df.A.array) == expected
+def test_dtype_repr(dtype):
+ if dtype.storage == "pyarrow":
+ if dtype.na_value is pd.NA:
+ assert repr(dtype) == "<StringDtype(na_value=<NA>)>"
+ else:
+ assert repr(dtype) == "<StringDtype(na_value=nan)>"
+ elif dtype.na_value is pd.NA:
+ assert repr(dtype) == "<StringDtype(storage='python', na_value=<NA>)>"
+ else:
+ assert repr(dtype) == "<StringDtype(storage='python', na_value=nan)>"
+
+
def test_none_to_nan(cls, dtype):
a = cls._from_sequence(["a", None, "b"], dtype=dtype)
assert a[1] is not None
diff --git a/pandas/tests/io/formats/test_to_string.py b/pandas/tests/io/formats/test_to_string.py
index 63c975fd831e7..0866581535c2f 100644
--- a/pandas/tests/io/formats/test_to_string.py
+++ b/pandas/tests/io/formats/test_to_string.py
@@ -777,9 +777,9 @@ def test_to_string_string_dtype(self):
result = df.dtypes.to_string()
expected = dedent(
"""\
- x string[pyarrow]
- y string[python]
- z int64[pyarrow]"""
+ x string
+ y string
+ z int64[pyarrow]"""
)
assert result == expected