DEPR: deprecate Index.is_floating

doc/source/whatsnew/v2.0.0.rst

@@ -487,6 +487,8 @@ Deprecations
 ~~~~~~~~~~~~
 - Deprecated argument ``infer_datetime_format`` in :func:`to_datetime` and :func:`read_csv`, as a strict version of it is now the default (:issue:`48621`)
 
+- :meth:`Index.is_floating` has been deprecated. Use :func:`pandas.api.types.is_float_dtype` instead (:issue:`50042`)
+
 .. ---------------------------------------------------------------------------
 
 .. _whatsnew_200.prior_deprecations:

pandas/core/indexes/base.py

@@ -2200,7 +2200,7 @@ def is_boolean(self) -> bool:
         See Also
         --------
         is_integer : Check if the Index only consists of integers.
-        is_floating : Check if the Index is a floating type.
+        is_floating : Check if the Index is a floating type (deprecated).
         is_numeric : Check if the Index only consists of numeric data.
         is_object : Check if the Index is of the object dtype.
         is_categorical : Check if the Index holds categorical data.
@@ -2235,7 +2235,7 @@ def is_integer(self) -> bool:
         See Also
         --------
         is_boolean : Check if the Index only consists of booleans.
-        is_floating : Check if the Index is a floating type.
+        is_floating : Check if the Index is a floating type (deprecated).
         is_numeric : Check if the Index only consists of numeric data.
         is_object : Check if the Index is of the object dtype.
         is_categorical : Check if the Index holds categorical data.
@@ -2262,6 +2262,9 @@ def is_floating(self) -> bool:
         """
         Check if the Index is a floating type.
 
+        .. deprecated:: 2.0.0
+            Use `pandas.api.types.is_float_dtype` instead
+
         The Index may consist of only floats, NaNs, or a mix of floats,
         integers, or NaNs.
 
@@ -2298,6 +2301,12 @@ def is_floating(self) -> bool:
         >>> idx.is_floating()
         False
         """
+        warnings.warn(
+            f"{type(self).__name__}.is_floating is deprecated."
+            "Use pandas.api.types.is_float_dtype instead",
+            FutureWarning,
+            stacklevel=find_stack_level(),
+        )
         return self.inferred_type in ["floating", "mixed-integer-float", "integer-na"]
 
     @final
@@ -2314,7 +2323,7 @@ def is_numeric(self) -> bool:
         --------
         is_boolean : Check if the Index only consists of booleans.
         is_integer : Check if the Index only consists of integers.
-        is_floating : Check if the Index is a floating type.
+        is_floating : Check if the Index is a floating type (deprecated).
         is_object : Check if the Index is of the object dtype.
         is_categorical : Check if the Index holds categorical data.
         is_interval : Check if the Index holds Interval objects.
@@ -2357,7 +2366,7 @@ def is_object(self) -> bool:
         --------
         is_boolean : Check if the Index only consists of booleans.
         is_integer : Check if the Index only consists of integers.
-        is_floating : Check if the Index is a floating type.
+        is_floating : Check if the Index is a floating type (deprecated).
         is_numeric : Check if the Index only consists of numeric data.
         is_categorical : Check if the Index holds categorical data.
         is_interval : Check if the Index holds Interval objects.
@@ -2398,7 +2407,7 @@ def is_categorical(self) -> bool:
         CategoricalIndex : Index for categorical data.
         is_boolean : Check if the Index only consists of booleans.
         is_integer : Check if the Index only consists of integers.
-        is_floating : Check if the Index is a floating type.
+        is_floating : Check if the Index is a floating type (deprecated).
         is_numeric : Check if the Index only consists of numeric data.
         is_object : Check if the Index is of the object dtype.
         is_interval : Check if the Index holds Interval objects.
@@ -2441,7 +2450,7 @@ def is_interval(self) -> bool:
         IntervalIndex : Index for Interval objects.
         is_boolean : Check if the Index only consists of booleans.
         is_integer : Check if the Index only consists of integers.
-        is_floating : Check if the Index is a floating type.
+        is_floating : Check if the Index is a floating type (deprecated).
         is_numeric : Check if the Index only consists of numeric data.
         is_object : Check if the Index is of the object dtype.
         is_categorical : Check if the Index holds categorical data.

pandas/tests/indexes/common.py

@@ -795,6 +795,12 @@ def test_inv(self, simple_index):
             with pytest.raises(TypeError, match=msg):
                 ~Series(idx)
 
+    def test_is_floating_is_deprecated(self, simple_index):
+        # GH50042
+        idx = simple_index
+        with tm.assert_produces_warning(FutureWarning):
+            idx.is_floating()
+
 
 class NumericBase(Base):
     """

pandas/tests/indexing/test_indexing.py

@@ -605,7 +605,7 @@ def test_index_type_coercion(self, indexer):
 
             s2 = s.copy()
             indexer(s2)[0.1] = 0
-            assert s2.index.is_floating()
+            assert is_float_dtype(s2.index)
             assert indexer(s2)[0.1] == 0
 
             s2 = s.copy()
@@ -621,11 +621,11 @@ def test_index_type_coercion(self, indexer):
 
         for s in [Series(range(5), index=np.arange(5.0))]:
 
-            assert s.index.is_floating()
+            assert is_float_dtype(s.index)
 
             s2 = s.copy()
             indexer(s2)[0.1] = 0
-            assert s2.index.is_floating()
+            assert is_float_dtype(s2.index)
             assert indexer(s2)[0.1] == 0
 
             s2 = s.copy()