fix errors

Author: topper-123

doc/source/whatsnew/v0.23.0.rst

@@ -861,21 +861,21 @@ Previous behavior:
 
 Current behavior:
 
-.. ipython:: python
+.. code-block:: ipython
 
-    index = pd.Int64Index([-1, 0, 1])
+    In [12]: index = pd.Int64Index([-1, 0, 1])
     # division by zero gives -infinity where negative,
     # +infinity where positive, and NaN for 0 / 0
-    index / 0
+    In [13]: index / 0
 
     # The result of division by zero should not depend on
     # whether the zero is int or float
-    index / 0.0
+    In [14]: index / 0.0
 
-    index = pd.UInt64Index([0, 1])
-    index / np.array([0, 0], dtype=np.uint64)
+    In [15]: index = pd.UInt64Index([0, 1])
+    In [16]: index / np.array([0, 0], dtype=np.uint64)
 
-    pd.RangeIndex(1, 5) / 0
+    In [17]: pd.RangeIndex(1, 5) / 0
 
 .. _whatsnew_0230.api_breaking.extract:
 

doc/source/whatsnew/v0.25.0.rst

@@ -473,10 +473,12 @@ considered commutative, such that ``A.union(B) == B.union(A)`` (:issue:`23525`).
 
 *New behavior*:
 
-.. ipython:: python
+.. code-block:: python
 
-    pd.period_range('19910905', periods=2).union(pd.Int64Index([1, 2, 3]))
-    pd.Index([], dtype=object).union(pd.Index([1, 2, 3]))
+    In [3]: pd.period_range('19910905', periods=2).union(pd.Int64Index([1, 2, 3]))
+    Out[3]: Index([1991-09-05, 1991-09-06, 1, 2, 3], dtype='object')
+    In [4]: pd.Index([], dtype=object).union(pd.Index([1, 2, 3]))
+    Out[4]: Index([1, 2, 3], dtype='object')
 
 Note that integer- and floating-dtype indexes are considered "compatible". The integer
 values are coerced to floating point, which may result in loss of precision. See

pandas/__init__.py

@@ -71,9 +71,7 @@
     # indexes
     Index,
     CategoricalIndex,
-    UInt64Index,
     RangeIndex,
-    Float64Index,
     NumericIndex,
     MultiIndex,
     IntervalIndex,
@@ -186,19 +184,19 @@
 
 
 # GH 27101
-deprecated_num_index_names = ["Float64Index", "Int64Index", "UInt64Index"]
+__deprecated_num_index_names = ["Float64Index", "Int64Index", "UInt64Index"]
 
 
 def __dir__():
-    return list(globals().keys()) + deprecated_num_index_names
+    return list(globals().keys()) + __deprecated_num_index_names
 
 
 def __getattr__(name):
     import warnings
 
-    if name in deprecated_num_index_names:
+    if name in __deprecated_num_index_names:
         num_msg = (
-            f"The pandas.{name} class is deprecated "
+            f"pandas.{name} is deprecated "
             "and will be removed from pandas in a future version. "
             "Use pandas.NumericIndex with the appropriate dtype instead."
         )
@@ -207,7 +205,7 @@ def __getattr__(name):
 
             warnings.warn(num_msg, FutureWarning, stacklevel=2)
             return Int64Index
-        elif name == "Unt64Index":
+        elif name == "UInt64Index":
             from pandas.core.api import UInt64Index
 
             warnings.warn(num_msg, FutureWarning, stacklevel=2)

pandas/tests/api/test_api.py

@@ -100,7 +100,7 @@ class TestPDApi(Base):
     ]
 
     # these are already deprecated; awaiting removal
-    deprecated_classes: list[str] = []
+    deprecated_classes: list[str] = ["Float64Index", "Int64Index", "UInt64Index"]
 
     # these should be deprecated in the future
     deprecated_classes_in_future: list[str] = ["SparseArray"]