remove version numbers

Author: topper-123

doc/source/user_guide/advanced.rst

@@ -854,9 +854,9 @@ Int64Index and RangeIndex
 .. deprecated:: 1.4.0
     In pandas 2.0, :class:`NumericIndex` will become the default index type for numeric types
     instead of ``Int64Index``, ``Float64Index`` and ``UInt64Index`` and those index types
-    are therefore deprecated and will be removed in Pandas 2.0.
+    are therefore deprecated and will be removed in a futire version.
     See :ref:`here <advanced.numericindex>` for more.
-    ``RangeIndex`` however, will not be removed, as it represents an optimized version of an integer index.
+    ``RangeIndex`` will not be removed, as it represents an optimized version of an integer index.
 
 :class:`Int64Index` is a fundamental basic index in pandas. This is an immutable array
 implementing an ordered, sliceable set.
@@ -870,11 +870,11 @@ Float64Index
 ~~~~~~~~~~~~
 
 .. deprecated:: 1.4.0
-    In pandas 2.0, :class:`NumericIndex` will become the default index type for numeric types
+    :class:`NumericIndex` will become the default index type for numeric types in the future
     instead of ``Int64Index``, ``Float64Index`` and ``UInt64Index`` and those index types
-    are therefore deprecated and will be removed in Pandas 2.0.
+    are therefore deprecated and will be removed in a future version of Pandas.
     See :ref:`here <advanced.numericindex>` for more.
-    ``RangeIndex`` however, will not be removed, as it represents an optimized version of an integer index.
+    ``RangeIndex`` will not be removed as it represents an optimized version of an integer index.
 
 By default a :class:`Float64Index` will be automatically created when passing floating, or mixed-integer-floating values in index creation.
 This enables a pure label-based slicing paradigm that makes ``[],ix,loc`` for scalar indexing and slicing work exactly the
@@ -982,8 +982,8 @@ NumericIndex
 
     In pandas 2.0, :class:`NumericIndex` will become the default index type for numeric types
     instead of :class:`Int64Index`, :class:`Float64Index` and :class:`UInt64Index` and those index types
-    are therefore deprecated and will be removed in Pandas 2.0.
-    :class:`RangeIndex` however, will not be removed, as it represents an optimized version of an integer index.
+    are therefore deprecated and will be removed in a futureversion.
+    :class:`RangeIndex` will not be removed as it represents an optimized version of an integer index.
 
 :class:`NumericIndex` is an index type that can hold data of any numpy int/uint/float dtype. For example:
 
@@ -998,7 +998,7 @@ NumericIndex
 ``UInt64Index`` except that it can hold any numpy int, uint or float dtype.
 
 Until Pandas 2.0, you will have to call ``NumericIndex`` explicitly in order to use it, like in the example above.
-In Pandas 2.0, ``NumericIndex`` will become the default pandas numeric index type and will automatically be used where appropriate.
+In the future, ``NumericIndex`` will become the default pandas numeric index type and will automatically be used where appropriate.
 
 Please notice that ``NumericIndex`` *can not* hold Pandas numeric dtypes (:class:`Int64Dtype`, :class:`Int32Dtype` etc.).
 

doc/source/whatsnew/v1.4.0.rst

@@ -29,20 +29,20 @@ It is now possible to create an index of any numpy int/uint/float dtype using th
     pd.NumericIndex([1, 2, 3], dtype="uint32")
     pd.NumericIndex([1, 2, 3], dtype="float32")
 
-In order to maintain backwards compatibility, calls to the base :class:`Index` will in
-pandas 1.x. return :class:`Int64Index`, :class:`UInt64Index` and :class:`Float64Index`, where relevant.
+In order to maintain backwards compatibility, calls to the base :class:`Index` will currently
+return :class:`Int64Index`, :class:`UInt64Index` and :class:`Float64Index`, where relevant.
 For example, the code below returns an ``Int64Index`` with dtype ``int64``:
 
 .. code-block:: ipython
 
     In [1]: pd.Index([1, 2, 3], dtype="int8")
     Int64Index([1, 2, 3], dtype='int64')
 
-but will in Pandas 2.0 return a :class:`NumericIndex` with dtype ``int8``.
+but will in a future version return a :class:`NumericIndex` with dtype ``int8``.
 
-More generally, for the duration of Pandas 1.x, all operations that until now have
+More generally, currently, all operations that until now have
 returned :class:`Int64Index`, :class:`UInt64Index` and :class:`Float64Index` will
-continue to so. This means, that in order to use ``NumericIndex`` in Pandas 1.x, you
+continue to so. This means, that in order to use ``NumericIndex`` in the current version, you
 will have to call ``NumericIndex`` explicitly. For example the below series will have an ``Int64Index``:
 
 .. code-block:: ipython
@@ -51,17 +51,17 @@ will have to call ``NumericIndex`` explicitly. For example the below series will
     In [3]: ser.index
     Int64Index([1, 2, 3], dtype='int64')
 
-Instead, if you want to use a ``NumericIndex`` in Pandas 1.x, you should do:
+Instead, if you want to use a ``NumericIndex``, you should do:
 
 .. ipython:: python
 
     idx = pd.NumericIndex([1, 2, 3], dtype="int8")
     ser = pd.Series([1, 2, 3], index=idx)
     ser.index
 
-In Pandas 2.0, :class:`NumericIndex` will become the default numeric index type and
+In a future version of Pandas, :class:`NumericIndex` will become the default numeric index type and
 ``Int64Index``, ``UInt64Index`` and ``Float64Index`` are therefore deprecated and will
-be removed in pandas 2.0, see :ref:`here <whatsnew_140.deprecations.int64_uint64_float64index>` for more.
+be removed in the future, see :ref:`here <whatsnew_140.deprecations.int64_uint64_float64index>` for more.
 
 See :ref:`here <advanced.numericindex>` for more about :class:`NumericIndex`.
 
@@ -209,9 +209,9 @@ Deprecated Int64Index, UInt64Index & Float64Index
 :class:`Int64Index`, :class:`UInt64Index` and :class:`Float64Index` have been deprecated
 in favor of the new :class:`NumericIndex` and will be removed in Pandas 2.0 (:issue:`43028`).
 
-For the duration of Pandas 1.x, in order to maintain backward compatibility, calls to
+Currently, in order to maintain backward compatibility, calls to
 :class:`Index` will continue to return :class:`Int64Index`, :class:`UInt64Index` and :class:`Float64Index`
-when given numeric data, but in Pandas 2.0, a :class:`NumericIndex` will be returned.
+when given numeric data, but in the future, a :class:`NumericIndex` will be returned.
 
 *Current behavior*:
 

pandas/__init__.py

@@ -187,6 +187,9 @@
 
 
 def __dir__():
+    # GH43028
+    # Int64Index etc. are deprecated, but we still want them to be available in the dir.
+    # Remove in Pandas 2.0, when we remove Int64Index etc. from the code base.
     return list(globals().keys()) + __deprecated_num_index_names