DEPR: remove Index fastpath kwarg

doc/source/whatsnew/v1.0.0.rst

@@ -269,6 +269,8 @@ or ``matplotlib.Axes.plot``. See :ref:`plotting.formatters` for more.
 
 **Other removals**
 
+- Removed the previously deprecated :meth:`Index.summary` (:issue:`18217`)
+- Removed the previously deprecated "fastpath" keyword from the :class:`Index` constructor (:issue:`23110`)
 - Removed the previously deprecated :meth:`Series.get_value`, :meth:`Series.set_value`, :meth:`DataFrame.get_value`, :meth:`DataFrame.set_value` (:issue:`17739`)
 - Changed the the default value of `inplace` in :meth:`DataFrame.set_index` and :meth:`Series.set_axis`. It now defaults to False (:issue:`27600`)
 - :meth:`pandas.Series.str.cat` now defaults to aligning ``others``, using ``join='left'`` (:issue:`27611`)

pandas/core/indexes/base.py

@@ -259,14 +259,7 @@ def _outer_indexer(self, left, right):
     # Constructors
 
     def __new__(
-        cls,
-        data=None,
-        dtype=None,
-        copy=False,
-        name=None,
-        fastpath=None,
-        tupleize_cols=True,
-        **kwargs,
+        cls, data=None, dtype=None, copy=False, name=None, tupleize_cols=True, **kwargs,
     ) -> "Index":
 
         from .range import RangeIndex
@@ -278,16 +271,6 @@ def __new__(
         if name is None and hasattr(data, "name"):
             name = data.name
 
-        if fastpath is not None:
-            warnings.warn(
-                "The 'fastpath' keyword is deprecated, and will be "
-                "removed in a future version.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            if fastpath:
-                return cls._simple_new(data, name)
-
         if isinstance(data, ABCPandasArray):
             # ensure users don't accidentally put a PandasArray in an index.
             data = data.to_numpy()
@@ -1132,19 +1115,6 @@ def _summary(self, name=None):
             name = type(self).__name__
         return f"{name}: {len(self)} entries{index_summary}"
 
-    def summary(self, name=None):
-        """
-        Return a summarized representation.
-
-        .. deprecated:: 0.23.0
-        """
-        warnings.warn(
-            "'summary' is deprecated and will be removed in a future version.",
-            FutureWarning,
-            stacklevel=2,
-        )
-        return self._summary(name)
-
     # --------------------------------------------------------------------
     # Conversion Methods
 

pandas/core/indexes/category.py

@@ -1,6 +1,5 @@
 import operator
 from typing import Any
-import warnings
 
 import numpy as np
 
@@ -172,19 +171,8 @@ def __new__(
         dtype=None,
         copy=False,
         name=None,
-        fastpath=None,
     ):
 
-        if fastpath is not None:
-            warnings.warn(
-                "The 'fastpath' keyword is deprecated, and will be "
-                "removed in a future version.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            if fastpath:
-                return cls._simple_new(data, name=name, dtype=dtype)
-
         dtype = CategoricalDtype._from_values_or_dtype(data, categories, ordered, dtype)
 
         if name is None and hasattr(data, "name"):

pandas/core/indexes/numeric.py

@@ -1,5 +1,3 @@
-import warnings
-
 import numpy as np
 
 from pandas._libs import index as libindex
@@ -47,17 +45,8 @@ class NumericIndex(Index):
 
     _is_numeric_dtype = True
 
-    def __new__(cls, data=None, dtype=None, copy=False, name=None, fastpath=None):
+    def __new__(cls, data=None, dtype=None, copy=False, name=None):
         cls._validate_dtype(dtype)
-        if fastpath is not None:
-            warnings.warn(
-                "The 'fastpath' keyword is deprecated, and will be "
-                "removed in a future version.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            if fastpath:
-                return cls._simple_new(data, name=name)
 
         # Coerce to ndarray if not already ndarray or Index
         if not isinstance(data, (np.ndarray, Index)):

pandas/core/indexes/range.py

@@ -81,26 +81,9 @@ class RangeIndex(Int64Index):
     # Constructors
 
     def __new__(
-        cls,
-        start=None,
-        stop=None,
-        step=None,
-        dtype=None,
-        copy=False,
-        name=None,
-        fastpath=None,
+        cls, start=None, stop=None, step=None, dtype=None, copy=False, name=None,
     ):
 
-        if fastpath is not None:
-            warnings.warn(
-                "The 'fastpath' keyword is deprecated, and will be "
-                "removed in a future version.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            if fastpath:
-                return cls._simple_new(range(start, stop, step), name=name)
-
         cls._validate_dtype(dtype)
 
         # RangeIndex

pandas/tests/indexes/test_base.py

@@ -1385,13 +1385,6 @@ def test_summary_bug(self):
         assert "~:{range}:0" in result
         assert "{other}%s" in result
 
-    # GH18217
-    def test_summary_deprecated(self):
-        ind = Index(["{other}%s", "~:{range}:0"], name="A")
-
-        with tm.assert_produces_warning(FutureWarning):
-            ind.summary()
-
     def test_format(self, indices):
         self._check_method_works(Index.format, indices)
 
@@ -2769,32 +2762,18 @@ def test_index_subclass_constructor_wrong_kwargs(index_maker):
 
 
 def test_deprecated_fastpath():
+    msg = "[Uu]nexpected keyword argument"
+    with pytest.raises(TypeError, match=msg):
+        pd.Index(np.array(["a", "b"], dtype=object), name="test", fastpath=True)
 
-    with tm.assert_produces_warning(FutureWarning):
-        idx = pd.Index(np.array(["a", "b"], dtype=object), name="test", fastpath=True)
-
-    expected = pd.Index(["a", "b"], name="test")
-    tm.assert_index_equal(idx, expected)
-
-    with tm.assert_produces_warning(FutureWarning):
-        idx = pd.Int64Index(
-            np.array([1, 2, 3], dtype="int64"), name="test", fastpath=True
-        )
-
-    expected = pd.Index([1, 2, 3], name="test", dtype="int64")
-    tm.assert_index_equal(idx, expected)
-
-    with tm.assert_produces_warning(FutureWarning):
-        idx = pd.RangeIndex(0, 5, 2, name="test", fastpath=True)
-
-    expected = pd.RangeIndex(0, 5, 2, name="test")
-    tm.assert_index_equal(idx, expected)
+    with pytest.raises(TypeError, match=msg):
+        pd.Int64Index(np.array([1, 2, 3], dtype="int64"), name="test", fastpath=True)
 
-    with tm.assert_produces_warning(FutureWarning):
-        idx = pd.CategoricalIndex(["a", "b", "c"], name="test", fastpath=True)
+    with pytest.raises(TypeError, match=msg):
+        pd.RangeIndex(0, 5, 2, name="test", fastpath=True)
 
-    expected = pd.CategoricalIndex(["a", "b", "c"], name="test")
-    tm.assert_index_equal(idx, expected)
+    with pytest.raises(TypeError, match=msg):
+        pd.CategoricalIndex(["a", "b", "c"], name="test", fastpath=True)
 
 
 def test_shape_of_invalid_index():