diff --git a/python/pyspark/pandas/numpy_compat.py b/python/pyspark/pandas/numpy_compat.py
index febba91883bd5..316e2e9e3afd1 100644
--- a/python/pyspark/pandas/numpy_compat.py
+++ b/python/pyspark/pandas/numpy_compat.py
@@ -20,7 +20,7 @@
 
 from pyspark.sql import functions as F
 from pyspark.sql.pandas.functions import pandas_udf
-from pyspark.sql.types import DoubleType, LongType, BooleanType
+from pyspark.sql.types import DoubleType, BooleanType
 from pyspark.pandas.base import IndexOpsMixin
 
 unary_np_spark_mappings = {
@@ -107,8 +107,10 @@
     "ldexp": pandas_udf(  # type: ignore[call-overload]
         lambda s1, s2: np.ldexp(s1, s2), DoubleType()
     ),
-    "left_shift": pandas_udf(  # type: ignore[call-overload]
-        lambda s1, s2: np.left_shift(s1, s2), LongType()
+    # F.shiftleft accepts literal counts only; call_function also accepts a column.
+    # NumPy returns zero for counts outside an int64's bit width, unlike JVM shifts.
+    "left_shift": lambda c1, c2: F.when((c2 < 0) | (c2 >= 64), F.lit(0)).otherwise(
+        F.call_function("shiftleft", c1, c2)
     ),
     "logaddexp": pandas_udf(  # type: ignore[call-overload]
         lambda s1, s2: np.logaddexp(s1, s2), DoubleType()
@@ -129,9 +131,11 @@
     "nextafter": pandas_udf(  # type: ignore[call-overload]
         lambda s1, s2: np.nextafter(s1, s2), DoubleType()
     ),
-    "right_shift": pandas_udf(  # type: ignore[call-overload]
-        lambda s1, s2: np.right_shift(s1, s2), LongType()
-    ),
+    # F.shiftright accepts literal counts only; call_function also accepts a column.
+    # NumPy sign-extends counts outside an int64's bit width, unlike JVM shifts.
+    "right_shift": lambda c1, c2: F.when(
+        (c2 < 0) | (c2 >= 64), F.call_function("shiftright", c1, F.lit(63))
+    ).otherwise(F.call_function("shiftright", c1, c2)),
 }
 
 
diff --git a/python/pyspark/pandas/tests/test_numpy_compat.py b/python/pyspark/pandas/tests/test_numpy_compat.py
index 432283cb5fe8a..bd7ba4c3e2103 100644
--- a/python/pyspark/pandas/tests/test_numpy_compat.py
+++ b/python/pyspark/pandas/tests/test_numpy_compat.py
@@ -115,6 +115,21 @@ def test_np_math_functions(self):
 
                 self.assert_eq(np_func(psdf.a), np_func(pdf.a), almost=True)
 
+    def test_np_bitwise_shift_functions(self):
+        pdf = pd.DataFrame(
+            {
+                "value": [np.iinfo(np.int64).min, -2, -1, 0, 1, 2, np.iinfo(np.int64).max],
+                "bits": [-1, 0, 1, 63, 64, 65, 2],
+            }
+        )
+        psdf = ps.from_pandas(pdf)
+
+        for np_func in (np.left_shift, np.right_shift):
+            with self.subTest(name=np_func.__name__):
+                self.assert_eq(
+                    np_func(psdf.value, psdf.bits), np_func(pdf.value, pdf.bits), almost=True
+                )
+
     def test_np_spark_compat_series(self):
         from pyspark.pandas.numpy_compat import unary_np_spark_mappings, binary_np_spark_mappings