Bugfix clip scalar ndarray 59053

pandas/core/series.py

@@ -3,7 +3,7 @@
 """
 
 from __future__ import annotations
-
+from pandas._libs import lib
 from collections.abc import (
     Callable,
     Hashable,
@@ -6777,14 +6777,24 @@ def _flex_method(self, other, op, *, level=None, fill_value=None, axis: Axis = 0
         if isinstance(other, Series):
             return self._binop(other, op, level=level, fill_value=fill_value)
         elif isinstance(other, (np.ndarray, list, tuple, ExtensionArray)):
+            if isinstance(other, np.ndarray) and other.ndim == 0:
+                scalar = lib.item_from_zerodim(other)
+
+                if fill_value is not None:
+                    if isna(scalar):
+                        return op(self, fill_value)
+                    self = self.fillna(fill_value)
+
+                return op(self, scalar)
+
             if len(other) != len(self):
                 raise ValueError("Lengths must be equal")
             other = self._constructor(other, self.index, copy=False)
             result = self._binop(other, op, level=level, fill_value=fill_value)
             result._name = res_name
             return result
+
         elif isinstance(other, ABCDataFrame):
-            # GH#46179
             raise TypeError(
                 f"Series.{op.__name__.strip('_')} does not support a DataFrame "
                 f"`other`. Use df.{op.__name__.strip('_')}(ser) instead."
@@ -6794,9 +6804,10 @@ def _flex_method(self, other, op, *, level=None, fill_value=None, axis: Axis = 0
                 if isna(other):
                     return op(self, fill_value)
                 self = self.fillna(fill_value)
-
+            
             return op(self, other)
 
+
     def eq(
         self,
         other,

pandas/tests/series/methods/test_clip.py

@@ -4,7 +4,6 @@
 import pytest
 
 from pandas.errors import OutOfBoundsDatetime
-
 import pandas as pd
 from pandas import (
     Series,
@@ -155,3 +154,18 @@ def test_clip_with_timestamps_and_oob_datetimes_non_nano(self):
         expected = Series([lower, upper], dtype=dtype)
 
         tm.assert_series_equal(result, expected)
+
+    def test_clip_with_scalar_numpy_array_lower():
+        s = pd.Series([-1, 2, 3])
+        result = s.clip(lower=np.array(0))
+        expected = pd.Series([0, 2, 3])
+        tm.assert_series_equal(result, expected)
+
+    def test_clip_with_scalar_numpy_array_upper():
+        s = pd.Series([-1, 2, 3])
+        result = s.clip(upper=np.array(2))
+        expected = pd.Series([-1, 2, 2])
+        tm.assert_series_equal(result, expected)
+
+
+