diff --git a/py-polars/tests/unit/dataframe/test_df.py b/py-polars/tests/unit/dataframe/test_df.py
index 705f6bce069b..ec16ae3edf0a 100644
--- a/py-polars/tests/unit/dataframe/test_df.py
+++ b/py-polars/tests/unit/dataframe/test_df.py
@@ -3328,98 +3328,6 @@ def test_deadlocks_3409() -> None:
     ) == {"col1": [0, 0, 0]}
 
 
-def test_clip() -> None:
-    clip_exprs = [
-        pl.col("a").clip(pl.col("min"), pl.col("max")).alias("clip"),
-        pl.col("a").clip_min(pl.col("min")).alias("clip_min"),
-        pl.col("a").clip_max(pl.col("max")).alias("clip_max"),
-    ]
-
-    df = pl.DataFrame(
-        {
-            "a": [1, 2, 3, 4, 5],
-            "min": [0, -1, 4, None, 4],
-            "max": [2, 1, 8, 5, None],
-        }
-    )
-
-    assert df.select(clip_exprs).to_dict(False) == {
-        "clip": [1, 1, 4, None, None],
-        "clip_min": [1, 2, 4, None, 5],
-        "clip_max": [1, 1, 3, 4, None],
-    }
-
-    df = pl.DataFrame(
-        {
-            "a": [1.0, 2.0, 3.0, 4.0, 5.0],
-            "min": [0, -1.0, 4.0, None, 4.0],
-            "max": [2.0, 1.0, 8.0, 5.0, None],
-        }
-    )
-
-    assert df.select(clip_exprs).to_dict(False) == {
-        "clip": [1.0, 1.0, 4.0, None, None],
-        "clip_min": [1.0, 2.0, 4.0, None, 5.0],
-        "clip_max": [1.0, 1.0, 3.0, 4.0, None],
-    }
-
-    df = pl.DataFrame(
-        {
-            "a": [
-                datetime(1995, 6, 5, 10, 30),
-                datetime(1995, 6, 5),
-                datetime(2023, 10, 20, 18, 30, 6),
-                None,
-                datetime(2023, 9, 24),
-                datetime(2000, 1, 10),
-            ],
-            "min": [
-                datetime(1995, 6, 5, 10, 29),
-                datetime(1996, 6, 5),
-                datetime(2020, 9, 24),
-                datetime(2020, 1, 1),
-                None,
-                datetime(2000, 1, 1),
-            ],
-            "max": [
-                datetime(1995, 7, 21, 10, 30),
-                datetime(2000, 1, 1),
-                datetime(2023, 9, 20, 18, 30, 6),
-                datetime(2000, 1, 1),
-                datetime(1993, 3, 13),
-                None,
-            ],
-        }
-    )
-
-    assert df.select(clip_exprs).to_dict(False) == {
-        "clip": [
-            datetime(1995, 6, 5, 10, 30),
-            datetime(1996, 6, 5),
-            datetime(2023, 9, 20, 18, 30, 6),
-            None,
-            None,
-            None,
-        ],
-        "clip_min": [
-            datetime(1995, 6, 5, 10, 30),
-            datetime(1996, 6, 5),
-            datetime(2023, 10, 20, 18, 30, 6),
-            None,
-            None,
-            datetime(2000, 1, 10),
-        ],
-        "clip_max": [
-            datetime(1995, 6, 5, 10, 30),
-            datetime(1995, 6, 5),
-            datetime(2023, 9, 20, 18, 30, 6),
-            None,
-            datetime(1993, 3, 13),
-            None,
-        ],
-    }
-
-
 def test_cum_agg() -> None:
     df = pl.DataFrame({"a": [1, 2, 3, 2]})
     assert_series_equal(
diff --git a/py-polars/tests/unit/operations/test_clip.py b/py-polars/tests/unit/operations/test_clip.py
new file mode 100644
index 000000000000..f178780b7a6a
--- /dev/null
+++ b/py-polars/tests/unit/operations/test_clip.py
@@ -0,0 +1,114 @@
+from __future__ import annotations
+
+from datetime import datetime
+
+import pytest
+
+import polars as pl
+from polars.testing.asserts.series import assert_series_equal
+
+
+def test_clip() -> None:
+    clip_exprs = [
+        pl.col("a").clip(pl.col("min"), pl.col("max")).alias("clip"),
+        pl.col("a").clip(lower_bound=pl.col("min")).alias("clip_min"),
+        pl.col("a").clip(upper_bound=pl.col("max")).alias("clip_max"),
+    ]
+
+    df = pl.DataFrame(
+        {
+            "a": [1, 2, 3, 4, 5],
+            "min": [0, -1, 4, None, 4],
+            "max": [2, 1, 8, 5, None],
+        }
+    )
+
+    assert df.select(clip_exprs).to_dict(False) == {
+        "clip": [1, 1, 4, None, None],
+        "clip_min": [1, 2, 4, None, 5],
+        "clip_max": [1, 1, 3, 4, None],
+    }
+
+    df = pl.DataFrame(
+        {
+            "a": [1.0, 2.0, 3.0, 4.0, 5.0],
+            "min": [0, -1.0, 4.0, None, 4.0],
+            "max": [2.0, 1.0, 8.0, 5.0, None],
+        }
+    )
+
+    assert df.select(clip_exprs).to_dict(False) == {
+        "clip": [1.0, 1.0, 4.0, None, None],
+        "clip_min": [1.0, 2.0, 4.0, None, 5.0],
+        "clip_max": [1.0, 1.0, 3.0, 4.0, None],
+    }
+
+    df = pl.DataFrame(
+        {
+            "a": [
+                datetime(1995, 6, 5, 10, 30),
+                datetime(1995, 6, 5),
+                datetime(2023, 10, 20, 18, 30, 6),
+                None,
+                datetime(2023, 9, 24),
+                datetime(2000, 1, 10),
+            ],
+            "min": [
+                datetime(1995, 6, 5, 10, 29),
+                datetime(1996, 6, 5),
+                datetime(2020, 9, 24),
+                datetime(2020, 1, 1),
+                None,
+                datetime(2000, 1, 1),
+            ],
+            "max": [
+                datetime(1995, 7, 21, 10, 30),
+                datetime(2000, 1, 1),
+                datetime(2023, 9, 20, 18, 30, 6),
+                datetime(2000, 1, 1),
+                datetime(1993, 3, 13),
+                None,
+            ],
+        }
+    )
+
+    assert df.select(clip_exprs).to_dict(False) == {
+        "clip": [
+            datetime(1995, 6, 5, 10, 30),
+            datetime(1996, 6, 5),
+            datetime(2023, 9, 20, 18, 30, 6),
+            None,
+            None,
+            None,
+        ],
+        "clip_min": [
+            datetime(1995, 6, 5, 10, 30),
+            datetime(1996, 6, 5),
+            datetime(2023, 10, 20, 18, 30, 6),
+            None,
+            None,
+            datetime(2000, 1, 10),
+        ],
+        "clip_max": [
+            datetime(1995, 6, 5, 10, 30),
+            datetime(1995, 6, 5),
+            datetime(2023, 9, 20, 18, 30, 6),
+            None,
+            datetime(1993, 3, 13),
+            None,
+        ],
+    }
+
+
+def test_clip_min_max_deprecated() -> None:
+    s = pl.Series([-1, 0, 1])
+
+    with pytest.deprecated_call():
+        result = s.clip_min(0)
+    expected = pl.Series([0, 0, 1])
+    assert_series_equal(result, expected)
+
+    with pytest.deprecated_call():
+        result = s.clip_max(0)
+    expected = pl.Series([-1, 0, 0])
+    assert_series_equal(result, expected)