DEPR: remove string_pyarrow option

doc/source/whatsnew/v3.0.0.rst

@@ -874,6 +874,7 @@ Other Removals
 - Removed the ``method`` keyword in ``ExtensionArray.fillna``, implement ``ExtensionArray._pad_or_backfill`` instead (:issue:`53621`)
 - Removed the attribute ``dtypes`` from :class:`.DataFrameGroupBy` (:issue:`51997`)
 - Enforced deprecation of ``argmin``, ``argmax``, ``idxmin``, and ``idxmax`` returning a result when ``skipna=False`` and an NA value is encountered or all values are NA values; these operations will now raise in such cases (:issue:`33941`, :issue:`51276`)
+- Enforced deprecation of storage option "pyarrow_numpy" for :class:`StringDtype` (:issue:`60152`)
 - Removed specifying ``include_groups=True`` in :class:`.DataFrameGroupBy.apply` and :class:`.Resampler.apply` (:issue:`7155`)
 
 .. ---------------------------------------------------------------------------

pandas/core/arrays/string_.py

@@ -167,21 +167,6 @@ def __init__(
                 else:
                     storage = "python"
 
-        if storage == "pyarrow_numpy":
-            # TODO: Enforce in 3.0 (#60152)
-            warnings.warn(
-                "The 'pyarrow_numpy' storage option name is deprecated and will be "
-                'removed in pandas 3.0. Use \'pd.StringDtype(storage="pyarrow", '
-                "na_value=np.nan)' to construct the same dtype.\nOr enable the "
-                "'pd.options.future.infer_string = True' option globally and use "
-                'the "str" alias as a shorthand notation to specify a dtype '
-                '(instead of "string[pyarrow_numpy]").',
-                FutureWarning,  # pdlint: ignore[warning_class]
-                stacklevel=find_stack_level(),
-            )
-            storage = "pyarrow"
-            na_value = np.nan
-
         # validate options
         if storage not in {"python", "pyarrow"}:
             raise ValueError(
@@ -280,9 +265,6 @@ def construct_from_string(cls, string) -> Self:
             return cls(storage="python")
         elif string == "string[pyarrow]":
             return cls(storage="pyarrow")
-        elif string == "string[pyarrow_numpy]":
-            # this is deprecated in the dtype __init__, remove this in pandas 3.0
-            return cls(storage="pyarrow_numpy")
         else:
             raise TypeError(f"Cannot construct a '{cls.__name__}' from '{string}'")
 

pandas/core/config_init.py

@@ -478,12 +478,6 @@ def is_valid_string_storage(value: Any) -> None:
     legal_values = ["auto", "python", "pyarrow"]
     if value not in legal_values:
         msg = "Value must be one of python|pyarrow"
-        if value == "pyarrow_numpy":
-            # TODO: we can remove extra message after 3.0
-            msg += (
-                ". 'pyarrow_numpy' was specified, but this option should be "
-                "enabled using pandas.options.future.infer_string instead"
-            )
         raise ValueError(msg)
 
 

pandas/tests/arrays/string_/test_string.py

@@ -61,14 +61,6 @@ def string_dtype_highest_priority(dtype1, dtype2):
     return DTYPE_HIERARCHY[max(h1, h2)]
 
 
-def test_dtype_constructor():
-    pytest.importorskip("pyarrow")
-
-    with tm.assert_produces_warning(FutureWarning):
-        dtype = pd.StringDtype("pyarrow_numpy")
-    assert dtype == pd.StringDtype("pyarrow", na_value=np.nan)
-
-
 def test_dtype_equality():
     pytest.importorskip("pyarrow")
 

pandas/tests/extension/test_string.py

@@ -116,8 +116,7 @@ def test_eq_with_str(self, dtype):
             # only the NA-variant supports parametrized string alias
             assert dtype == f"string[{dtype.storage}]"
         elif dtype.storage == "pyarrow":
-            with tm.assert_produces_warning(FutureWarning):
-                assert dtype == "string[pyarrow_numpy]"
+            assert dtype == "str"
 
     def test_is_not_string_type(self, dtype):
         # Different from BaseDtypeTests.test_is_not_string_type