https://github.com/pandas-dev/pandas-stubs/pull/1479/files/d6592685321c6add64ff4bfd12c6984e5efa3d70#r2515222772

Author: cmp0xff

pandas-stubs/core/resample.pyi

@@ -98,6 +98,7 @@ class Resampler(BaseGroupBy[NDFrameT]):
         *,
         axis: Axis = ...,
         limit: int | None = ...,
+        inplace: Literal[False] = False,
         limit_direction: Literal["forward", "backward", "both"] = ...,
         limit_area: Literal["inside", "outside"] | None = ...,
         **kwargs: Any,

tests/test_resampler.py

@@ -2,6 +2,7 @@
     Hashable,
     Iterator,
 )
+from typing import TypeAlias
 
 import numpy as np
 import pandas as pd
@@ -18,11 +19,17 @@
 from typing_extensions import assert_type
 
 from tests import (
+    PD_LTE_23,
     TYPE_CHECKING_INVALID_USAGE,
     check,
     pytest_warns_bounded,
 )
 
+if not PD_LTE_23:
+    from pandas.errors import Pandas4Warning  # type: ignore[attr-defined]  # pyright: ignore[reportAttributeAccessIssue,reportRedeclaration]  # isort: skip
+else:
+    Pandas4Warning: TypeAlias = FutureWarning  # type: ignore[no-redef]
+
 DR = date_range("1999-1-1", periods=365, freq="D")
 DF_ = DataFrame(np.random.standard_normal((365, 1)), index=DR)
 S = DF_.iloc[:, 0]
@@ -145,6 +152,21 @@ def test_interpolate() -> None:
     )
 
 
+# TODO: remove the whole test function when the warning and ValueError in pandas-dev/pandas#62847 are removed
+def test_interpolate_inplace() -> None:
+    with pytest_warns_bounded(
+        Pandas4Warning,
+        "The 'inplace' keyword in DatetimeIndexResampler.interpolate is deprecated and will be removed in a future version. resample(...).interpolate is never inplace.",
+        lower="2.99",
+    ):
+        check(
+            assert_type(DF.resample("ME").interpolate(inplace=False), DataFrame),
+            DataFrame,
+        )
+    if TYPE_CHECKING_INVALID_USAGE:
+        DF.resample("ME").interpolate(inplace=True)  # type: ignore[call-arg]  # pyright: ignore[reportArgumentType]
+
+
 def test_pipe() -> None:
     def f(val: "DatetimeIndexResampler[DataFrame]") -> DataFrame:
         assert isinstance(val, DatetimeIndexResampler)