Removed tolist fully

Author: TomAugspurger

pandas/core/dtypes/cast.py

@@ -1223,24 +1223,3 @@ def construct_1d_object_array_from_listlike(values):
     result = np.empty(len(values), dtype='object')
     result[:] = values
     return result
-
-
-def tolist(values):
-    """Convert an array-like to a list of scalar types.
-
-    Parameters
-    ----------
-    values : ndarray or ExtensionArray
-
-    Returns
-    -------
-    list
-        Each element of the list is a Python scalar (str, int, float)
-        or a pandas scalar (Timestamp / Timedelta / Interval / Period) or
-        the scalar type for 3rd party Extension Arrays.
-
-    See Also
-    --------
-    Series.tolist
-    numpy.ndarray.tolist
-    """

pandas/tests/dtypes/test_cast.py

@@ -23,8 +23,7 @@
     maybe_convert_scalar,
     find_common_type,
     construct_1d_object_array_from_listlike,
-    construct_1d_arraylike_from_scalar,
-    tolist)
+    construct_1d_arraylike_from_scalar)
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
     DatetimeTZDtype,
@@ -325,18 +324,6 @@ def test_maybe_convert_objects_copy(self):
         out = maybe_convert_objects(values, copy=True)
         assert values is not out
 
-    @pytest.mark.parametrize('values, expected', [
-        (pd.date_range('2017', periods=1), [pd.Timestamp('2017')]),
-        (pd.period_range('2017', periods=1, freq='D'),
-         [pd.Period('2017', freq='D')]),
-        (pd.timedelta_range(0, periods=1), [pd.Timedelta('0')]),
-        (pd.interval_range(0, periods=1), [pd.Interval(0, 1)]),
-        (np.array([0, 1]), [0, 1]),
-    ])
-    def test_tolist(self, values, expected):
-        result = tolist(values)
-        assert result == expected
-
 
 class TestCommonTypes(object):