REF: Use * syntax to make reindex kwargs keyword only

doc/source/whatsnew/v2.0.0.rst

@@ -736,7 +736,7 @@ Removal of prior version deprecations/changes
 - Disallow passing non-keyword arguments to :meth:`DataFrame.replace`, :meth:`Series.replace` except for ``to_replace`` and ``value`` (:issue:`47587`)
 - Disallow passing non-keyword arguments to :meth:`DataFrame.sort_values` except for ``by`` (:issue:`41505`)
 - Disallow passing non-keyword arguments to :meth:`Series.sort_values` (:issue:`41505`)
-- Disallow passing 2 non-keyword arguments to :meth:`DataFrame.reindex` (:issue:`17966`)
+- Disallow passing non-keyword arguments to :meth:`DataFrame.reindex` except for ``labels`` (:issue:`17966`)
 - Disallow :meth:`Index.reindex` with non-unique :class:`Index` objects (:issue:`42568`)
 - Disallowed constructing :class:`Categorical` with scalar ``data`` (:issue:`38433`)
 - Disallowed constructing :class:`CategoricalIndex` without passing ``data`` (:issue:`38944`)

pandas/conftest.py

@@ -149,8 +149,6 @@ def pytest_collection_modifyitems(items, config) -> None:
     ignored_doctest_warnings = [
         # Docstring divides by zero to show behavior difference
         ("missing.mask_zero_div_zero", "divide by zero encountered"),
-        # Docstring demonstrates the call raises a warning
-        ("_validators.validate_axis_style_args", "Use named arguments"),
     ]
 
     for item in items:

pandas/core/frame.py

@@ -101,12 +101,10 @@
     Appender,
     Substitution,
     doc,
-    rewrite_axis_style_signature,
 )
 from pandas.util._exceptions import find_stack_level
 from pandas.util._validators import (
     validate_ascending,
-    validate_axis_style_args,
     validate_bool_kwarg,
     validate_percentile,
 )
@@ -260,11 +258,18 @@
       levels and/or column labels.
     - if `axis` is 1 or `'columns'` then `by` may contain column
       levels and/or index labels.""",
-    "optional_labels": """labels : array-like, optional
-            New labels / index to conform the axis specified by 'axis' to.""",
-    "optional_axis": """axis : int or str, optional
-            Axis to target. Can be either the axis name ('index', 'columns')
-            or number (0, 1).""",
+    "optional_reindex": """
+labels : array-like, optional
+    New labels / index to conform the axis specified by 'axis' to.
+index : array-like, optional
+    New labels for the index. Preferably an Index object to avoid
+    duplicating data.
+columns : array-like, optional
+    New labels for the columns. Preferably an Index object to avoid
+    duplicating data.
+axis : int or str, optional
+    Axis to target. Can be either the axis name ('index', 'columns')
+    or number (0, 1).""",
     "replace_iloc": """
     This differs from updating with ``.loc`` or ``.iloc``, which require
     you to specify a location to update with some value.""",
@@ -4990,26 +4995,37 @@ def set_axis(
     ) -> DataFrame:
         return super().set_axis(labels, axis=axis, copy=copy)
 
-    @Substitution(**_shared_doc_kwargs)
-    @Appender(NDFrame.reindex.__doc__)
-    @rewrite_axis_style_signature(
-        "labels",
-        [
-            ("method", None),
-            ("copy", None),
-            ("level", None),
-            ("fill_value", np.nan),
-            ("limit", None),
-            ("tolerance", None),
-        ],
+    @doc(
+        NDFrame.reindex,
+        klass=_shared_doc_kwargs["klass"],
+        optional_reindex=_shared_doc_kwargs["optional_reindex"],
     )
-    def reindex(self, *args, **kwargs) -> DataFrame:
-        axes = validate_axis_style_args(self, args, kwargs, "labels", "reindex")
-        kwargs.update(axes)
-        # Pop these, since the values are in `kwargs` under different names
-        kwargs.pop("axis", None)
-        kwargs.pop("labels", None)
-        return super().reindex(**kwargs)
+    def reindex(  # type: ignore[override]
+        self,
+        labels=None,
+        *,
+        index=None,
+        columns=None,
+        axis: Axis | None = None,
+        method: str | None = None,
+        copy: bool | None = None,
+        level: Level | None = None,
+        fill_value: Scalar | None = np.nan,
+        limit: int | None = None,
+        tolerance=None,
+    ) -> DataFrame:
+        return super().reindex(
+            labels=labels,
+            index=index,
+            columns=columns,
+            axis=axis,
+            method=method,
+            copy=copy,
+            level=level,
+            fill_value=fill_value,
+            limit=limit,
+            tolerance=tolerance,
+        )
 
     @overload
     def drop(

pandas/core/generic.py

@@ -69,6 +69,7 @@
     NDFrameT,
     RandomState,
     Renamer,
+    Scalar,
     SortKind,
     StorageOptions,
     Suffixes,
@@ -5104,11 +5105,21 @@ def sort_index(
 
     @doc(
         klass=_shared_doc_kwargs["klass"],
-        axes=_shared_doc_kwargs["axes"],
-        optional_labels="",
-        optional_axis="",
+        optional_reindex="",
     )
-    def reindex(self: NDFrameT, *args, **kwargs) -> NDFrameT:
+    def reindex(
+        self: NDFrameT,
+        labels=None,
+        index=None,
+        columns=None,
+        axis: Axis | None = None,
+        method: str | None = None,
+        copy: bool_t | None = None,
+        level: Level | None = None,
+        fill_value: Scalar | None = np.nan,
+        limit: int | None = None,
+        tolerance=None,
+    ) -> NDFrameT:
         """
         Conform {klass} to new index with optional filling logic.
 
@@ -5118,11 +5129,7 @@ def reindex(self: NDFrameT, *args, **kwargs) -> NDFrameT:
 
         Parameters
         ----------
-        {optional_labels}
-        {axes} : array-like, optional
-            New labels / index to conform to, should be specified using
-            keywords. Preferably an Index object to avoid duplicating data.
-        {optional_axis}
+        {optional_reindex}
         method : {{None, 'backfill'/'bfill', 'pad'/'ffill', 'nearest'}}
             Method to use for filling holes in reindexed DataFrame.
             Please note: this is only applicable to DataFrames/Series with a
@@ -5311,31 +5318,34 @@ def reindex(self: NDFrameT, *args, **kwargs) -> NDFrameT:
         # TODO: Decide if we care about having different examples for different
         # kinds
 
-        # construct the args
-        axes, kwargs = self._construct_axes_from_arguments(args, kwargs)
-        method = clean_reindex_fill_method(kwargs.pop("method", None))
-        level = kwargs.pop("level", None)
-        copy = kwargs.pop("copy", None)
-        limit = kwargs.pop("limit", None)
-        tolerance = kwargs.pop("tolerance", None)
-        fill_value = kwargs.pop("fill_value", None)
-
-        # Series.reindex doesn't use / need the axis kwarg
-        # We pop and ignore it here, to make writing Series/Frame generic code
-        # easier
-        kwargs.pop("axis", None)
-
-        if kwargs:
-            raise TypeError(
-                "reindex() got an unexpected keyword "
-                f'argument "{list(kwargs.keys())[0]}"'
-            )
+        if index is not None and columns is not None and labels is not None:
+            raise TypeError("Cannot specify all of 'labels', 'index', 'columns'.")
+        elif index is not None or columns is not None:
+            if axis is not None:
+                raise TypeError(
+                    "Cannot specify both 'axis' and any of 'index' or 'columns'"
+                )
+            if labels is not None:
+                if index is not None:
+                    columns = labels
+                else:
+                    index = labels
+        else:
+            if axis and self._get_axis_number(axis) == 1:
+                columns = labels
+            else:
+                index = labels
+        axes: dict[Literal["index", "columns"], Any] = {
+            "index": index,
+            "columns": columns,
+        }
+        method = clean_reindex_fill_method(method)
 
         # if all axes that are requested to reindex are equal, then only copy
         # if indicated must have index names equal here as well as values
         if all(
-            self._get_axis(axis).identical(ax)
-            for axis, ax in axes.items()
+            self._get_axis(axis_name).identical(ax)
+            for axis_name, ax in axes.items()
             if ax is not None
         ):
             return self.copy(deep=copy)
@@ -5517,7 +5527,7 @@ def filter(
             name = self._get_axis_name(axis)
             # error: Keywords must be strings
             return self.reindex(  # type: ignore[misc]
-                **{name: [r for r in items if r in labels]}
+                **{name: [r for r in items if r in labels]}  # type: ignore[arg-type]
             )
         elif like:
 

pandas/core/groupby/groupby.py

@@ -4098,7 +4098,7 @@ def _reindex_output(
                 "copy": False,
                 "fill_value": fill_value,
             }
-            return output.reindex(**d)
+            return output.reindex(**d)  # type: ignore[arg-type]
 
         # GH 13204
         # Here, the categorical in-axis groupers, which need to be fully

pandas/core/series.py

@@ -58,6 +58,7 @@
     NaPosition,
     QuantileInterpolation,
     Renamer,
+    Scalar,
     SingleManager,
     SortKind,
     StorageOptions,
@@ -190,8 +191,12 @@
     "duplicated": "Series",
     "optional_by": "",
     "optional_mapper": "",
-    "optional_labels": "",
-    "optional_axis": "",
+    "optional_reindex": """
+index : array-like, optional
+    New labels for the index. Preferably an Index object to avoid
+    duplicating data.
+axis : int or str, optional
+    Unused.""",
     "replace_iloc": """
     This differs from updating with ``.loc`` or ``.iloc``, which require
     you to specify a location to update with some value.""",
@@ -4862,21 +4867,29 @@ def set_axis(
     @doc(
         NDFrame.reindex,  # type: ignore[has-type]
         klass=_shared_doc_kwargs["klass"],
-        axes=_shared_doc_kwargs["axes"],
-        optional_labels=_shared_doc_kwargs["optional_labels"],
-        optional_axis=_shared_doc_kwargs["optional_axis"],
+        optional_reindex=_shared_doc_kwargs["optional_reindex"],
     )
-    def reindex(self, *args, **kwargs) -> Series:
-        if len(args) > 1:
-            raise TypeError("Only one positional argument ('index') is allowed")
-        if args:
-            (index,) = args
-            if "index" in kwargs:
-                raise TypeError(
-                    "'index' passed as both positional and keyword argument"
-                )
-            kwargs.update({"index": index})
-        return super().reindex(**kwargs)
+    def reindex(  # type: ignore[override]
+        self,
+        index=None,
+        *,
+        axis: Axis | None = None,
+        method: str | None = None,
+        copy: bool | None = None,
+        level: Level | None = None,
+        fill_value: Scalar | None = None,
+        limit: int | None = None,
+        tolerance=None,
+    ) -> Series:
+        return super().reindex(
+            index=index,
+            method=method,
+            copy=copy,
+            level=level,
+            fill_value=fill_value,
+            limit=limit,
+            tolerance=tolerance,
+        )
 
     @overload
     def drop(

pandas/tests/frame/methods/test_reindex.py

@@ -841,17 +841,18 @@ def test_reindex_positional_raises(self):
         # https://github.com/pandas-dev/pandas/issues/12392
         # Enforced in 2.0
         df = DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
-        with pytest.raises(TypeError, match=r".* is ambiguous."):
+        msg = r"reindex\(\) takes from 1 to 2 positional arguments but 3 were given"
+        with pytest.raises(TypeError, match=msg):
             df.reindex([0, 1], ["A", "B", "C"])
 
     def test_reindex_axis_style_raises(self):
         # https://github.com/pandas-dev/pandas/issues/12392
         df = DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
         with pytest.raises(TypeError, match="Cannot specify both 'axis'"):
-            df.reindex([0, 1], ["A"], axis=1)
+            df.reindex([0, 1], columns=["A"], axis=1)
 
         with pytest.raises(TypeError, match="Cannot specify both 'axis'"):
-            df.reindex([0, 1], ["A"], axis="index")
+            df.reindex([0, 1], columns=["A"], axis="index")
 
         with pytest.raises(TypeError, match="Cannot specify both 'axis'"):
             df.reindex(index=[0, 1], axis="index")
@@ -866,7 +867,7 @@ def test_reindex_axis_style_raises(self):
             df.reindex(index=[0, 1], columns=[0, 1], axis="columns")
 
         with pytest.raises(TypeError, match="Cannot specify all"):
-            df.reindex([0, 1], [0], ["A"])
+            df.reindex(labels=[0, 1], index=[0], columns=["A"])
 
         # Mixing styles
         with pytest.raises(TypeError, match="Cannot specify both 'axis'"):

pandas/tests/series/methods/test_reindex.py

@@ -369,16 +369,15 @@ def test_reindex_periodindex_with_object(p_values, o_values, values, expected_va
 def test_reindex_too_many_args():
     # GH 40980
     ser = Series([1, 2])
-    with pytest.raises(
-        TypeError, match=r"Only one positional argument \('index'\) is allowed"
-    ):
+    msg = r"reindex\(\) takes from 1 to 2 positional arguments but 3 were given"
+    with pytest.raises(TypeError, match=msg):
         ser.reindex([2, 3], False)
 
 
 def test_reindex_double_index():
     # GH 40980
     ser = Series([1, 2])
-    msg = r"'index' passed as both positional and keyword argument"
+    msg = r"reindex\(\) got multiple values for argument 'index'"
     with pytest.raises(TypeError, match=msg):
         ser.reindex([2, 3], index=[3, 4])