ENH: raise ImportError if pyarrow is not defined when using ArrowDtyp…

doc/source/whatsnew/v3.0.0.rst

@@ -38,12 +38,17 @@ Other enhancements
 - Support reading value labels from Stata 108-format (Stata 6) and earlier files (:issue:`58154`)
 - Users can globally disable any ``PerformanceWarning`` by setting the option ``mode.performance_warnings`` to ``False`` (:issue:`56920`)
 - :meth:`Styler.format_index_names` can now be used to format the index and column names (:issue:`48936` and :issue:`47489`)
+<<<<<<< HEAD
+- :func:`ArrowDtype.construct_from_string` now raises an ``ImportError`` instead of a ``NameError`` when pyarrow is not defined.
+-
+=======
 - :class:`.errors.DtypeWarning` improved to include column names when mixed data types are detected (:issue:`58174`)
 - :meth:`DataFrame.corrwith` now accepts ``min_periods`` as optional arguments, as in :meth:`DataFrame.corr` and :meth:`Series.corr` (:issue:`9490`)
 - :meth:`DataFrame.cummin`, :meth:`DataFrame.cummax`, :meth:`DataFrame.cumprod` and :meth:`DataFrame.cumsum` methods now have a ``numeric_only`` parameter (:issue:`53072`)
 - :meth:`DataFrame.fillna` and :meth:`Series.fillna` can now accept ``value=None``; for non-object dtype the corresponding NA value will be used (:issue:`57723`)
 - :meth:`Series.cummin` and :meth:`Series.cummax` now supports :class:`CategoricalDtype` (:issue:`52335`)
 - :meth:`Series.plot` now correctly handle the ``ylabel`` parameter for pie charts, allowing for explicit control over the y-axis label (:issue:`58239`)
+>>>>>>> origin/main
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_300.notable_bug_fixes:

pandas/core/dtypes/dtypes.py

@@ -47,6 +47,7 @@
 )
 from pandas._libs.tslibs.offsets import BDay
 from pandas.compat import pa_version_under10p1
+from pandas.compat._optional import import_optional_dependency
 from pandas.errors import PerformanceWarning
 from pandas.util._exceptions import find_stack_level
 
@@ -2288,6 +2289,8 @@ def construct_from_string(cls, string: str) -> ArrowDtype:
 
         base_type = string[:-9]  # get rid of "[pyarrow]"
         try:
+            # GH#57928
+            pa = import_optional_dependency("pyarrow")
             pa_dtype = pa.type_for_alias(base_type)
         except ValueError as err:
             has_parameters = re.search(r"[\[\(].*[\]\)]", base_type)