DEPR: casting non-standard listlikes to array in arithmetic operations

doc/source/whatsnew/v0.24.0.rst

@@ -1076,6 +1076,7 @@ The affected cases are:
    df + arr[[0], :]
 
 .. ipython:: python
+   :okwarning:
 
    # Comparison operations and arithmetic operations both broadcast.
    df == (1, 2)

doc/source/whatsnew/v3.0.0.rst

@@ -715,6 +715,7 @@ Other Deprecations
 - Deprecated using ``epoch`` date format in :meth:`DataFrame.to_json` and :meth:`Series.to_json`, use ``iso`` instead. (:issue:`57063`)
 - Deprecated allowing ``fill_value`` that cannot be held in the original dtype (excepting NA values for integer and bool dtypes) in :meth:`Series.unstack` and :meth:`DataFrame.unstack` (:issue:`12189`, :issue:`53868`)
 - Deprecated allowing ``fill_value`` that cannot be held in the original dtype (excepting NA values for integer and bool dtypes) in :meth:`Series.shift` and :meth:`DataFrame.shift` (:issue:`53802`)
+- Deprecated arithmetic operations between pandas objects (:class:`DataFrame`, :class:`Series`, :class:`Index`, and pandas-implemented :class:`ExtensionArray` subclasses) and list-likes other than ``list``, ``np.ndarray``, :class:`ExtensionArray`, :class:`Index`, :class:`Series`, :class:`DataFrame`. For e.g. ``tuple`` or ``range``, explicitly cast these to a supported object instead. In a future version, these will be treated as scalar-like for pointwise operation (:issue:`62423`)
 - Deprecated slicing on a :class:`Series` or :class:`DataFrame` with a :class:`DatetimeIndex` using a ``datetime.date`` object, explicitly cast to :class:`Timestamp` instead (:issue:`35830`)
 
 .. ---------------------------------------------------------------------------

pandas/core/arrays/arrow/array.py

@@ -942,6 +942,18 @@ def _op_method_error_message(self, other, op) -> str:
         )
 
     def _evaluate_op_method(self, other, op, arrow_funcs) -> Self:
+        if is_list_like(other) and not isinstance(
+            other, (np.ndarray, ExtensionArray, list)
+        ):
+            warnings.warn(
+                f"Operation with {type(other).__name__} are deprecated. "
+                "In a future version these will be treated as scalar-like. "
+                "To retain the old behavior, explicitly wrap in a Series "
+                "instead.",
+                Pandas4Warning,
+                stacklevel=find_stack_level(),
+            )
+
         pa_type = self._pa_array.type
         other_original = other
         other = self._box_pa(other)

pandas/core/arrays/boolean.py

@@ -7,21 +7,25 @@
     Self,
     cast,
 )
+import warnings
 
 import numpy as np
 
 from pandas._libs import (
     lib,
     missing as libmissing,
 )
+from pandas.errors import Pandas4Warning
 from pandas.util._decorators import set_module
+from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.common import is_list_like
 from pandas.core.dtypes.dtypes import register_extension_dtype
 from pandas.core.dtypes.missing import isna
 
 from pandas.core import ops
 from pandas.core.array_algos import masked_accumulations
+from pandas.core.arrays import ExtensionArray
 from pandas.core.arrays.masked import (
     BaseMaskedArray,
     BaseMaskedDtype,
@@ -378,6 +382,16 @@ def _logical_method(self, other, op):
         if isinstance(other, BooleanArray):
             other, mask = other._data, other._mask
         elif is_list_like(other):
+            if not isinstance(other, (list, ExtensionArray, np.ndarray)):
+                warnings.warn(
+                    f"Operation with {type(other).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
+
             other = np.asarray(other, dtype="bool")
             if other.ndim > 1:
                 return NotImplemented

pandas/core/arrays/datetimelike.py

@@ -78,6 +78,7 @@
 from pandas.errors import (
     AbstractMethodError,
     InvalidComparison,
+    Pandas4Warning,
     PerformanceWarning,
 )
 from pandas.util._decorators import (
@@ -968,6 +969,17 @@ def _cmp_method(self, other, op):
             # TODO: handle 2D-like listlikes
             return op(self.ravel(), other.ravel()).reshape(self.shape)
 
+        if is_list_like(other):
+            if not isinstance(other, (list, np.ndarray, ExtensionArray)):
+                warnings.warn(
+                    f"Operation with {type(other).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
+
         try:
             other = self._validate_comparison_value(other)
         except InvalidComparison:

pandas/core/arrays/interval.py

@@ -13,6 +13,7 @@
     TypeAlias,
     overload,
 )
+import warnings
 
 import numpy as np
 
@@ -38,8 +39,12 @@
     npt,
 )
 from pandas.compat.numpy import function as nv
-from pandas.errors import IntCastingNaNError
+from pandas.errors import (
+    IntCastingNaNError,
+    Pandas4Warning,
+)
 from pandas.util._decorators import Appender
+from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.cast import (
     LossySetitemError,
@@ -736,6 +741,15 @@ def __setitem__(self, key, value) -> None:
     def _cmp_method(self, other, op):
         # ensure pandas array for list-like and eliminate non-interval scalars
         if is_list_like(other):
+            if not isinstance(other, (list, np.ndarray, ExtensionArray)):
+                warnings.warn(
+                    f"Operation with {type(other).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
             if len(self) != len(other):
                 raise ValueError("Lengths must match to compare")
             other = pd_array(other)

pandas/core/arrays/masked.py

@@ -24,8 +24,12 @@
     IS64,
     is_platform_windows,
 )
-from pandas.errors import AbstractMethodError
+from pandas.errors import (
+    AbstractMethodError,
+    Pandas4Warning,
+)
 from pandas.util._decorators import doc
+from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.base import ExtensionDtype
 from pandas.core.dtypes.cast import maybe_downcast_to_dtype
@@ -743,6 +747,18 @@ def _arith_method(self, other, op):
         op_name = op.__name__
         omask = None
 
+        if is_list_like(other) and not isinstance(
+            other, (list, np.ndarray, ExtensionArray)
+        ):
+            warnings.warn(
+                f"Operation with {type(other).__name__} are deprecated. "
+                "In a future version these will be treated as scalar-like. "
+                "To retain the old behavior, explicitly wrap in a Series "
+                "instead.",
+                Pandas4Warning,
+                stacklevel=find_stack_level(),
+            )
+
         if (
             not hasattr(other, "dtype")
             and is_list_like(other)
@@ -847,6 +863,15 @@ def _cmp_method(self, other, op) -> BooleanArray:
             other, mask = other._data, other._mask
 
         elif is_list_like(other):
+            if not isinstance(other, (list, np.ndarray, ExtensionArray)):
+                warnings.warn(
+                    f"Operation with {type(other).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
             other = np.asarray(other)
             if other.ndim > 1:
                 raise NotImplementedError("can only perform ops with 1-d structures")

pandas/core/arrays/sparse/array.py

@@ -30,7 +30,10 @@
 )
 from pandas._libs.tslibs import NaT
 from pandas.compat.numpy import function as nv
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    Pandas4Warning,
+    PerformanceWarning,
+)
 from pandas.util._decorators import doc
 from pandas.util._exceptions import find_stack_level
 from pandas.util._validators import (
@@ -1805,6 +1808,16 @@ def _arith_method(self, other, op):
             return _wrap_result(op_name, result, self.sp_index, fill)
 
         else:
+            if not isinstance(other, (list, np.ndarray, ExtensionArray)):
+                warnings.warn(
+                    f"Operation with {type(other).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
+
             other = np.asarray(other)
             with np.errstate(all="ignore"):
                 if len(self) != len(other):
@@ -1817,6 +1830,17 @@ def _arith_method(self, other, op):
                 return _sparse_array_op(self, other, op, op_name)
 
     def _cmp_method(self, other, op) -> SparseArray:
+        if is_list_like(other) and not isinstance(
+            other, (list, np.ndarray, ExtensionArray)
+        ):
+            warnings.warn(
+                f"Operation with {type(other).__name__} are deprecated. "
+                "In a future version these will be treated as scalar-like. "
+                "To retain the old behavior, explicitly wrap in a Series "
+                "instead.",
+                Pandas4Warning,
+                stacklevel=find_stack_level(),
+            )
         if not is_scalar(other) and not isinstance(other, type(self)):
             # convert list-like to ndarray
             other = np.asarray(other)

pandas/core/arrays/string_.py

@@ -1102,6 +1102,15 @@ def _cmp_method(self, other, op):
         valid = ~mask
 
         if lib.is_list_like(other):
+            if not isinstance(other, (list, ExtensionArray, np.ndarray)):
+                warnings.warn(
+                    f"Operation with {type(other).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
             if len(other) != len(self):
                 # prevent improper broadcasting when other is 2D
                 raise ValueError(

pandas/core/frame.py

@@ -8430,6 +8430,16 @@ def to_series(right):
                 )
 
         elif is_list_like(right) and not isinstance(right, (Series, DataFrame)):
+            if not isinstance(right, (np.ndarray, ExtensionArray, Index, list, dict)):
+                warnings.warn(
+                    f"Operation with {type(right).__name__} are deprecated. "
+                    "In a future version these will be treated as scalar-like. "
+                    "To retain the old behavior, explicitly wrap in a Series "
+                    "instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
+
             # GH#36702. Raise when attempting arithmetic with list of array-like.
             if any(is_array_like(el) for el in right):
                 raise ValueError(

pandas/core/series.py

@@ -6035,6 +6035,15 @@ 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)):
+            if isinstance(other, tuple):
+                op_name = op.__name__.strip("_")
+                warnings.warn(
+                    f"Series.{op_name} with a tuple is deprecated and will be "
+                    "treated as scalar-like in a future version. "
+                    "Explicitly wrap in a numpy array instead.",
+                    Pandas4Warning,
+                    stacklevel=find_stack_level(),
+                )
             if len(other) != len(self):
                 raise ValueError("Lengths must be equal")
             other = self._constructor(other, self.index, copy=False)

pandas/tests/arithmetic/test_interval.py

@@ -207,19 +207,19 @@ def test_compare_list_like_interval_mixed_closed(
     @pytest.mark.parametrize(
         "other",
         [
-            (
+            [
                 Interval(0, 1),
                 Interval(Timedelta("1 day"), Timedelta("2 days")),
                 Interval(4, 5, "both"),
                 Interval(10, 20, "neither"),
-            ),
-            (0, 1.5, Timestamp("20170103"), np.nan),
-            (
+            ],
+            [0, 1.5, Timestamp("20170103"), np.nan],
+            [
                 Timestamp("20170102", tz="US/Eastern"),
                 Timedelta("2 days"),
                 "baz",
                 pd.NaT,
-            ),
+            ],
         ],
     )
     def test_compare_list_like_object(self, op, interval_array, other):

pandas/tests/arrays/test_datetimes.py

@@ -306,10 +306,16 @@ def test_cmp_dt64_arraylike_tznaive(self, comparison_op):
             tuple(right),
             right.astype(object),
         ]:
-            result = op(arr, other)
+            depr_msg = "Operation with tuple are deprecated."
+            warn = None
+            if isinstance(other, tuple):
+                warn = Pandas4Warning
+            with tm.assert_produces_warning(warn, match=depr_msg):
+                result = op(arr, other)
             tm.assert_numpy_array_equal(result, expected)
 
-            result = op(other, arr)
+            with tm.assert_produces_warning(warn, match=depr_msg):
+                result = op(other, arr)
             tm.assert_numpy_array_equal(result, expected)
 
 

pandas/tests/extension/test_numpy.py

@@ -291,6 +291,7 @@ def test_arith_series_with_array(self, data, all_arithmetic_operators):
         self.series_array_exc = series_array_exc
         super().test_arith_series_with_array(data, all_arithmetic_operators)
 
+    @skip_nested
     def test_arith_frame_with_scalar(self, data, all_arithmetic_operators, request):
         opname = all_arithmetic_operators
         frame_scalar_exc = None