DEPR: Remove ABC(Int|Uint|Float)64Index (#50775)

Author: topper-123

pandas/compat/pickle_compat.py

@@ -120,7 +120,20 @@ def load_reduce(self):
     ),
     ("pandas.indexes.numeric", "Float64Index"): (
         "pandas.core.indexes.numeric",
-        "Float64Index",
+        "Index",  # updated in 50775
+    ),
+    # 50775, remove Int64Index, UInt64Index & Float64Index from codabase
+    ("pandas.core.indexes.numeric", "Int64Index"): (
+        "pandas.core.indexes.base",
+        "Index",
+    ),
+    ("pandas.core.indexes.numeric", "UInt64Index"): (
+        "pandas.core.indexes.base",
+        "Index",
+    ),
+    ("pandas.core.indexes.numeric", "Float64Index"): (
+        "pandas.core.indexes.base",
+        "Index",
     ),
 }
 

pandas/core/dtypes/generic.py

@@ -29,11 +29,6 @@
         TimedeltaArray,
     )
     from pandas.core.generic import NDFrame
-    from pandas.core.indexes.api import (
-        Float64Index,
-        Int64Index,
-        UInt64Index,
-    )
 
 
 # define abstract base classes to enable isinstance type checking on our
@@ -62,22 +57,10 @@ def _subclasscheck(cls, inst) -> bool:
     return meta(name, (), dct)
 
 
-ABCInt64Index = cast(
-    "Type[Int64Index]",
-    create_pandas_abc_type("ABCInt64Index", "_typ", ("int64index",)),
-)
-ABCUInt64Index = cast(
-    "Type[UInt64Index]",
-    create_pandas_abc_type("ABCUInt64Index", "_typ", ("uint64index",)),
-)
 ABCRangeIndex = cast(
     "Type[RangeIndex]",
     create_pandas_abc_type("ABCRangeIndex", "_typ", ("rangeindex",)),
 )
-ABCFloat64Index = cast(
-    "Type[Float64Index]",
-    create_pandas_abc_type("ABCFloat64Index", "_typ", ("float64index",)),
-)
 ABCMultiIndex = cast(
     "Type[MultiIndex]",
     create_pandas_abc_type("ABCMultiIndex", "_typ", ("multiindex",)),
@@ -109,10 +92,7 @@ def _subclasscheck(cls, inst) -> bool:
         "_typ",
         {
             "index",
-            "int64index",
             "rangeindex",
-            "float64index",
-            "uint64index",
             "numericindex",
             "multiindex",
             "datetimeindex",

pandas/tests/arithmetic/conftest.py

@@ -4,11 +4,7 @@
 import pandas as pd
 from pandas import RangeIndex
 import pandas._testing as tm
-from pandas.core.api import (
-    Float64Index,
-    Int64Index,
-    UInt64Index,
-)
+from pandas.core.api import NumericIndex
 from pandas.core.computation import expressions as expr
 
 
@@ -90,9 +86,10 @@ def zero(request):
 
 @pytest.fixture(
     params=[
-        Float64Index(np.arange(5, dtype="float64")),
-        Int64Index(np.arange(5, dtype="int64")),
-        UInt64Index(np.arange(5, dtype="uint64")),
+        # TODO: add more  dtypes here
+        NumericIndex(np.arange(5, dtype="float64")),
+        NumericIndex(np.arange(5, dtype="int64")),
+        NumericIndex(np.arange(5, dtype="uint64")),
         RangeIndex(5),
     ],
     ids=lambda x: type(x).__name__,

pandas/tests/arithmetic/test_numeric.py

@@ -377,7 +377,7 @@ def test_divmod_zero(self, zero, numeric_idx):
     @pytest.mark.parametrize("op", [operator.truediv, operator.floordiv])
     def test_div_negative_zero(self, zero, numeric_idx, op):
         # Check that -1 / -0.0 returns np.inf, not -np.inf
-        if isinstance(numeric_idx, UInt64Index):
+        if numeric_idx.dtype == np.uint64:
             return
         idx = numeric_idx - 3
 
@@ -669,15 +669,15 @@ def test_mul_int_array(self, numeric_idx):
         result = idx * np.array(5, dtype="int64")
         tm.assert_index_equal(result, idx * 5)
 
-        arr_dtype = "uint64" if isinstance(idx, UInt64Index) else "int64"
+        arr_dtype = "uint64" if idx.dtype == np.uint64 else "int64"
         result = idx * np.arange(5, dtype=arr_dtype)
         tm.assert_index_equal(result, didx)
 
     def test_mul_int_series(self, numeric_idx):
         idx = numeric_idx
         didx = idx * idx
 
-        arr_dtype = "uint64" if isinstance(idx, UInt64Index) else "int64"
+        arr_dtype = "uint64" if idx.dtype == np.uint64 else "int64"
         result = idx * Series(np.arange(5, dtype=arr_dtype))
         tm.assert_series_equal(result, Series(didx))
 
@@ -714,7 +714,7 @@ def test_pow_float(self, op, numeric_idx, box_with_array):
         # test power calculations both ways, GH#14973
         box = box_with_array
         idx = numeric_idx
-        expected = Float64Index(op(idx.values, 2.0))
+        expected = Index(op(idx.values, 2.0))
 
         idx = tm.box_expected(idx, box)
         expected = tm.box_expected(expected, box)
@@ -1216,7 +1216,7 @@ def test_binops_index(self, op, idx1, idx2):
         idx1 = idx1._rename("foo")
         idx2 = idx2._rename("bar")
         result = op(idx1, idx2)
-        expected = op(Int64Index(idx1), Int64Index(idx2))
+        expected = op(Index(idx1.to_numpy()), Index(idx2.to_numpy()))
         tm.assert_index_equal(result, expected, exact="equiv")
 
     @pytest.mark.parametrize(
@@ -1252,7 +1252,7 @@ def test_binops_index_pow(self, idx1, idx2):
         idx1 = idx1._rename("foo")
         idx2 = idx2._rename("bar")
         result = pow(idx1, idx2)
-        expected = pow(Int64Index(idx1), Int64Index(idx2))
+        expected = pow(Index(idx1.to_numpy()), Index(idx2.to_numpy()))
         tm.assert_index_equal(result, expected, exact="equiv")
 
     @pytest.mark.parametrize("idx", [RangeIndex(0, 10, 1), RangeIndex(0, 20, 2)])
@@ -1330,7 +1330,7 @@ def test_numeric_compat2(self):
         # __pow__
         idx = RangeIndex(0, 1000, 2)
         result = idx**2
-        expected = Int64Index(idx._values) ** 2
+        expected = Index(idx._values) ** 2
         tm.assert_index_equal(Index(result.values), expected, exact=True)
 
     @pytest.mark.parametrize(

pandas/tests/dtypes/test_generic.py

@@ -8,11 +8,6 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.api import (
-    Float64Index,
-    Int64Index,
-    UInt64Index,
-)
 
 
 class TestABCClasses:
@@ -29,9 +24,6 @@ class TestABCClasses:
     timedelta_array = pd.core.arrays.TimedeltaArray(timedelta_index)
 
     abc_pairs = [
-        ("ABCInt64Index", Int64Index([1, 2, 3])),
-        ("ABCUInt64Index", UInt64Index([1, 2, 3])),
-        ("ABCFloat64Index", Float64Index([1, 2, 3])),
         ("ABCMultiIndex", multi_index),
         ("ABCDatetimeIndex", datetime_index),
         ("ABCRangeIndex", pd.RangeIndex(3)),