Delegate to min and max methods

pandas/core/arrays/string_.py

@@ -274,17 +274,22 @@ def astype(self, dtype, copy=True):
  return super().astype(dtype, copy)
 
  def _reduce(self, name, skipna=True, **kwargs):
- if name in ["min", "max", "sum"]:
- na_mask = isna(self)
- if not na_mask.any():
- return getattr(self, name)(skipna=False, **kwargs)
- elif skipna:
- return getattr(self[~na_mask], name)(skipna=False, **kwargs)
- else:
- return libmissing.NA
+ if name in ["min", "max"]:
+ return getattr(self, name)(
+ skipna=skipna, **kwargs
+ )
 
  raise TypeError(f"Cannot perform reduction '{name}' with string dtype")
 
+ def min(self, axis=None, out=None, keepdims=False, skipna=True):
+ nv.validate_min((), dict(out=out, keepdims=keepdims))
+ return nanops.nanmin(self._ndarray, axis=axis, skipna=skipna)
+
+ def max(self, axis=None, out=None, keepdims=False, skipna=True):
+ nv.validate_max((), dict(out=out, keepdims=keepdims))
+ return nanops.nanmax(self._ndarray, axis=axis, skipna=skipna)
+
+
  def value_counts(self, dropna=False):
  from pandas import value_counts