fixed list

Author: pedromfdiogo

pandas/__init__.py

@@ -53,7 +53,7 @@
     floating,
     integer,
     interval,
-    list,
+    list_dtype,
     map,
     period,
     sparse,
@@ -326,7 +326,7 @@
     "isna",
     "isnull",
     "json_normalize",
-    "list",
+    "list_dtype",
     "lreshape",
     "map",
     "melt",

pandas/core/dtypes/factory.py

@@ -314,7 +314,7 @@ def boolean(
         return ArrowDtype(pa.bool_())
 
 
-def list(
+def list_dtype(
     value_type: Any = None,
     large: bool = False,
     backend: Literal["numpy", "pyarrow"] = "numpy",
@@ -339,13 +339,13 @@ def list(
 
     Examples
     --------
-    >>> list()  # Default numpy backend
+    >>> list_dtype()  # Default numpy backend
     object
-    >>> list(backend="pyarrow")  # PyArrow backend with default int64
+    >>> list_dtype(backend="pyarrow")  # PyArrow backend with default int64
     list[int64][pyarrow]
-    >>> list(value_type=pa.string(), backend="pyarrow")  # PyArrow with string
+    >>> list_dtype(value_type=pa.string(), backend="pyarrow")  # PyArrow with string
     list[string][pyarrow]
-    >>> list(
+    >>> list_dtype(
     ...     value_type=pa.string(), large=True, backend="pyarrow"
     ... )  # PyArrow large list
     large_list[string][pyarrow]

pandas/tests/api/test_api.py

@@ -128,7 +128,7 @@ class TestPDApi(Base):
         "interval_range",
         "isna",
         "isnull",
-        "list",
+        "list_dtype",
         "lreshape",
         "map",
         "melt",

pandas/tests/dtypes/test_factory.py

@@ -18,7 +18,7 @@
     floating,
     integer,
     interval,
-    list,
+    list_dtype,
     map,
     period,
     sparse,
@@ -165,21 +165,21 @@ def test_boolean_pyarrow():
 
 # List
 def test_list_default():
-    result = list()
+    result = list_dtype()
     assert result == np.dtype("object")
     assert isinstance(result, np.dtype)
 
 
 def test_list_pyarrow():
     pa = pytest.importorskip("pyarrow")
-    result = list(backend="pyarrow", value_type=pa.int64())
+    result = list_dtype(backend="pyarrow", value_type=pa.int64())
     assert isinstance(result, ArrowDtype)
     assert str(result) == "list<item: int64>[pyarrow]"
 
 
 def test_list_large():
     pa = pytest.importorskip("pyarrow")
-    result = list(backend="pyarrow", value_type=pa.string(), large=True)
+    result = list_dtype(backend="pyarrow", value_type=pa.string(), large=True)
     assert isinstance(result, ArrowDtype)
     assert str(result) == "large_list<item: string>[pyarrow]"