Deprecate passing args as positional DataFrame/Series.ffill

doc/source/whatsnew/v1.3.0.rst

@@ -682,6 +682,7 @@ Deprecations
 - Deprecated passing arguments as positional in :meth:`DataFrame.clip` and :meth:`Series.clip` (other than ``"upper"`` and ``"lower"``) (:issue:`41485`)
 - Deprecated special treatment of lists with first element a Categorical in the :class:`DataFrame` constructor; pass as ``pd.DataFrame({col: categorical, ...})`` instead (:issue:`38845`)
 - Deprecated passing arguments as positional (except for ``"method"``) in :meth:`DataFrame.interpolate` and :meth:`Series.interpolate` (:issue:`41485`)
+- Deprecated passing arguments as positional in :meth:`DataFrame.ffill`, :meth:`Series.ffill`, :meth:`DataFrame.bfill`, and :meth:`Series.bfill` (:issue:`41485`)
 - Deprecated passing arguments as positional in :meth:`DataFrame.sort_values` (other than ``"by"``) and :meth:`Series.sort_values` (:issue:`41485`)
 - Deprecated passing arguments as positional in :meth:`DataFrame.dropna` and :meth:`Series.dropna` (:issue:`41485`)
 - Deprecated passing arguments as positional in :meth:`DataFrame.set_index` (other than ``"keys"``) (:issue:`41485`)

pandas/core/frame.py

@@ -10646,6 +10646,26 @@ def values(self) -> np.ndarray:
         self._consolidate_inplace()
         return self._mgr.as_array(transpose=True)
 
+    @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    def ffill(
+        self: DataFrame,
+        axis: None | Axis = None,
+        inplace: bool = False,
+        limit: None | int = None,
+        downcast=None,
+    ) -> DataFrame | None:
+        return super().ffill(axis, inplace, limit, downcast)
+
+    @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    def bfill(
+        self: DataFrame,
+        axis: None | Axis = None,
+        inplace: bool = False,
+        limit: None | int = None,
+        downcast=None,
+    ) -> DataFrame | None:
+        return super().bfill(axis, inplace, limit, downcast)
+
     @deprecate_nonkeyword_arguments(
         version=None, allowed_args=["self", "lower", "upper"]
     )

pandas/core/generic.py

@@ -6392,47 +6392,6 @@ def fillna(
         else:
             return result.__finalize__(self, method="fillna")
 
-    @overload
-    def ffill(
-        self: FrameOrSeries,
-        axis: None | Axis = ...,
-        inplace: Literal[False] = ...,
-        limit: None | int = ...,
-        downcast=...,
-    ) -> FrameOrSeries:
-        ...
-
-    @overload
-    def ffill(
-        self: FrameOrSeries,
-        axis: None | Axis,
-        inplace: Literal[True],
-        limit: None | int = ...,
-        downcast=...,
-    ) -> None:
-        ...
-
-    @overload
-    def ffill(
-        self: FrameOrSeries,
-        *,
-        inplace: Literal[True],
-        limit: None | int = ...,
-        downcast=...,
-    ) -> None:
-        ...
-
-    @overload
-    def ffill(
-        self: FrameOrSeries,
-        axis: None | Axis = ...,
-        inplace: bool_t = ...,
-        limit: None | int = ...,
-        downcast=...,
-    ) -> FrameOrSeries | None:
-        ...
-
-    @final
     @doc(klass=_shared_doc_kwargs["klass"])
     def ffill(
         self: FrameOrSeries,
@@ -6455,47 +6414,6 @@ def ffill(
 
     pad = ffill
 
-    @overload
-    def bfill(
-        self: FrameOrSeries,
-        axis: None | Axis = ...,
-        inplace: Literal[False] = ...,
-        limit: None | int = ...,
-        downcast=...,
-    ) -> FrameOrSeries:
-        ...
-
-    @overload
-    def bfill(
-        self: FrameOrSeries,
-        axis: None | Axis,
-        inplace: Literal[True],
-        limit: None | int = ...,
-        downcast=...,
-    ) -> None:
-        ...
-
-    @overload
-    def bfill(
-        self: FrameOrSeries,
-        *,
-        inplace: Literal[True],
-        limit: None | int = ...,
-        downcast=...,
-    ) -> None:
-        ...
-
-    @overload
-    def bfill(
-        self: FrameOrSeries,
-        axis: None | Axis = ...,
-        inplace: bool_t = ...,
-        limit: None | int = ...,
-        downcast=...,
-    ) -> FrameOrSeries | None:
-        ...
-
-    @final
     @doc(klass=_shared_doc_kwargs["klass"])
     def bfill(
         self: FrameOrSeries,

pandas/core/series.py

@@ -5292,6 +5292,26 @@ def to_period(self, freq=None, copy=True) -> Series:
             self, method="to_period"
         )
 
+    @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    def ffill(
+        self: Series,
+        axis: None | Axis = None,
+        inplace: bool = False,
+        limit: None | int = None,
+        downcast=None,
+    ) -> Series | None:
+        return super().ffill(axis, inplace, limit, downcast)
+
+    @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    def bfill(
+        self: Series,
+        axis: None | Axis = None,
+        inplace: bool = False,
+        limit: None | int = None,
+        downcast=None,
+    ) -> Series | None:
+        return super().bfill(axis, inplace, limit, downcast)
+
     @deprecate_nonkeyword_arguments(
         version=None, allowed_args=["self", "lower", "upper"]
     )

pandas/tests/frame/methods/test_fillna.py

@@ -326,6 +326,18 @@ def test_ffill(self, datetime_frame):
             datetime_frame.ffill(), datetime_frame.fillna(method="ffill")
         )
 
+    def test_ffill_pos_args_deprecation(self):
+        # https://github.com/pandas-dev/pandas/issues/41485
+        df = DataFrame({"a": [1, 2, 3]})
+        msg = (
+            r"In a future version of pandas all arguments of DataFrame.ffill "
+            r"will be keyword-only"
+        )
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            result = df.ffill(0)
+        expected = DataFrame({"a": [1, 2, 3]})
+        tm.assert_frame_equal(result, expected)
+
     def test_bfill(self, datetime_frame):
         datetime_frame["A"][:5] = np.nan
         datetime_frame["A"][-5:] = np.nan
@@ -334,6 +346,18 @@ def test_bfill(self, datetime_frame):
             datetime_frame.bfill(), datetime_frame.fillna(method="bfill")
         )
 
+    def test_bfill_pos_args_deprecation(self):
+        # https://github.com/pandas-dev/pandas/issues/41485
+        df = DataFrame({"a": [1, 2, 3]})
+        msg = (
+            r"In a future version of pandas all arguments of DataFrame.bfill "
+            r"will be keyword-only"
+        )
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            result = df.bfill(0)
+        expected = DataFrame({"a": [1, 2, 3]})
+        tm.assert_frame_equal(result, expected)
+
     def test_frame_pad_backfill_limit(self):
         index = np.arange(10)
         df = DataFrame(np.random.randn(10, 4), index=index)

pandas/tests/series/methods/test_fillna.py

@@ -777,6 +777,18 @@ def test_ffill(self):
         ts[2] = np.NaN
         tm.assert_series_equal(ts.ffill(), ts.fillna(method="ffill"))
 
+    def test_ffill_pos_args_deprecation(self):
+        # https://github.com/pandas-dev/pandas/issues/41485
+        ser = Series([1, 2, 3])
+        msg = (
+            r"In a future version of pandas all arguments of Series.ffill "
+            r"will be keyword-only"
+        )
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            result = ser.ffill(0)
+        expected = Series([1, 2, 3])
+        tm.assert_series_equal(result, expected)
+
     def test_ffill_mixed_dtypes_without_missing_data(self):
         # GH#14956
         series = Series([datetime(2015, 1, 1, tzinfo=pytz.utc), 1])
@@ -788,6 +800,18 @@ def test_bfill(self):
         ts[2] = np.NaN
         tm.assert_series_equal(ts.bfill(), ts.fillna(method="bfill"))
 
+    def test_bfill_pos_args_deprecation(self):
+        # https://github.com/pandas-dev/pandas/issues/41485
+        ser = Series([1, 2, 3])
+        msg = (
+            r"In a future version of pandas all arguments of Series.bfill "
+            r"will be keyword-only"
+        )
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            result = ser.bfill(0)
+        expected = Series([1, 2, 3])
+        tm.assert_series_equal(result, expected)
+
     def test_pad_nan(self):
         x = Series(
             [np.nan, 1.0, np.nan, 3.0, np.nan], ["z", "a", "b", "c", "d"], dtype=float