BUG: is_[int|float]_dtypes functions not recognizing ArrowDtype

doc/source/whatsnew/v2.0.0.rst

@@ -1049,6 +1049,7 @@ ExtensionArray
 - Bug when concatenating an empty DataFrame with an ExtensionDtype to another DataFrame with the same ExtensionDtype, the resulting dtype turned into object (:issue:`48510`)
 - Bug in :meth:`array.PandasArray.to_numpy` raising with ``NA`` value when ``na_value`` is specified (:issue:`40638`)
 - Bug in :meth:`api.types.is_numeric_dtype` where a custom :class:`ExtensionDtype` would not return ``True`` if ``_is_numeric`` returned ``True`` (:issue:`50563`)
+- Bug in :meth:`api.types.is_integer_dtype`, :meth:`api.types.is_unsigned_integer_dtype`, :meth:`api.types.is_signed_integer_dtype`, :meth:`api.types.is_float_dtype` where a custom :class:`ExtensionDtype` would not return ``True`` if ``kind`` did returned the corresponding NumPy type (:issue:`50667`)
 
 Styler
 ^^^^^^

pandas/core/dtypes/common.py

@@ -690,7 +690,11 @@ def is_integer_dtype(arr_or_dtype) -> bool:
     >>> is_integer_dtype(pd.Index([1, 2.]))  # float
     False
     """
-    return _is_dtype_type(arr_or_dtype, classes_and_not_datetimelike(np.integer))
+    return _is_dtype_type(
+        arr_or_dtype, classes_and_not_datetimelike(np.integer)
+    ) or _is_dtype(
+        arr_or_dtype, lambda typ: isinstance(typ, ExtensionDtype) and typ.kind in "iu"
+    )
 
 
 def is_signed_integer_dtype(arr_or_dtype) -> bool:
@@ -744,7 +748,11 @@ def is_signed_integer_dtype(arr_or_dtype) -> bool:
     >>> is_signed_integer_dtype(np.array([1, 2], dtype=np.uint32))  # unsigned
     False
     """
-    return _is_dtype_type(arr_or_dtype, classes_and_not_datetimelike(np.signedinteger))
+    return _is_dtype_type(
+        arr_or_dtype, classes_and_not_datetimelike(np.signedinteger)
+    ) or _is_dtype(
+        arr_or_dtype, lambda typ: isinstance(typ, ExtensionDtype) and typ.kind == "i"
+    )
 
 
 def is_unsigned_integer_dtype(arr_or_dtype) -> bool:
@@ -791,6 +799,8 @@ def is_unsigned_integer_dtype(arr_or_dtype) -> bool:
     """
     return _is_dtype_type(
         arr_or_dtype, classes_and_not_datetimelike(np.unsignedinteger)
+    ) or _is_dtype(
+        arr_or_dtype, lambda typ: isinstance(typ, ExtensionDtype) and typ.kind == "u"
     )
 
 
@@ -1234,7 +1244,9 @@ def is_float_dtype(arr_or_dtype) -> bool:
     >>> is_float_dtype(pd.Index([1, 2.]))
     True
     """
-    return _is_dtype_type(arr_or_dtype, classes(np.floating))
+    return _is_dtype_type(arr_or_dtype, classes(np.floating)) or _is_dtype(
+        arr_or_dtype, lambda typ: isinstance(typ, ExtensionDtype) and typ.kind in "f"
+    )
 
 
 def is_bool_dtype(arr_or_dtype) -> bool:

pandas/tests/extension/test_arrow.py

@@ -39,7 +39,11 @@
 import pandas._testing as tm
 from pandas.api.types import (
     is_bool_dtype,
+    is_float_dtype,
+    is_integer_dtype,
     is_numeric_dtype,
+    is_signed_integer_dtype,
+    is_unsigned_integer_dtype,
 )
 from pandas.tests.extension import base
 
@@ -1446,6 +1450,39 @@ def test_is_numeric_dtype(data):
         assert not is_numeric_dtype(data)
 
 
+def test_is_integer_dtype(data):
+    # GH 50667
+    pa_type = data.dtype.pyarrow_dtype
+    if pa.types.is_integer(pa_type):
+        assert is_integer_dtype(data)
+    else:
+        assert not is_integer_dtype(data)
+
+
+def test_is_signed_integer_dtype(data):
+    pa_type = data.dtype.pyarrow_dtype
+    if pa.types.is_signed_integer(pa_type):
+        assert is_signed_integer_dtype(data)
+    else:
+        assert not is_signed_integer_dtype(data)
+
+
+def test_is_unsigned_integer_dtype(data):
+    pa_type = data.dtype.pyarrow_dtype
+    if pa.types.is_unsigned_integer(pa_type):
+        assert is_unsigned_integer_dtype(data)
+    else:
+        assert not is_unsigned_integer_dtype(data)
+
+
+def test_is_float_dtype(data):
+    pa_type = data.dtype.pyarrow_dtype
+    if pa.types.is_floating(pa_type):
+        assert is_float_dtype(data)
+    else:
+        assert not is_float_dtype(data)
+
+
 def test_pickle_roundtrip(data):
     # GH 42600
     expected = pd.Series(data)