Change is_.._dtype deprecations to DeprecationWarning instead of …

…`FutureWarning` (#14617)

This PR changes all FutureWarning's to DeprecationWarning's to match with pandas: pandas-dev/pandas#55703

On pandas_2.0_feature_branch:

= 501 failed, 101106 passed, 2071 skipped, 786 xfailed, 312 xpassed, 20 errors in 1234.91s (0:20:34) =
This PR:

= 445 failed, 101162 passed, 2071 skipped, 786 xfailed, 312 xpassed, 20 errors in 1216.79s (0:20:16) =

.pre-commit-config.yaml

@@ -91,6 +91,10 @@ repos:
                 entry: '(category=|\s)DeprecationWarning[,)]'
                 language: pygrep
                 types_or: [python, cython]
+                exclude: |
+                  (?x)^(
+                    ^python/cudf/cudf/core/dtypes.py
+                  )
               - id: no-programmatic-xfail
                 name: no-programmatic-xfail
                 description: 'Enforce that pytest.xfail is not introduced (see dev docs for details)'

python/cudf/cudf/core/_compat.py

@@ -12,4 +12,5 @@
 PANDAS_EQ_200 = PANDAS_VERSION == version.parse("2.0.0")
 PANDAS_GE_200 = PANDAS_VERSION >= version.parse("2.0.0")
 PANDAS_GE_210 = PANDAS_VERSION >= version.parse("2.1.0")
+PANDAS_GE_214 = PANDAS_VERSION >= version.parse("2.1.4")
 PANDAS_GE_220 = PANDAS_VERSION >= version.parse("2.2.0")

python/cudf/cudf/core/dtypes.py

@@ -1043,7 +1043,7 @@ def is_categorical_dtype(obj):
     warnings.warn(
         "is_categorical_dtype is deprecated and will be removed in a future "
         "version. Use isinstance(dtype, cudf.CategoricalDtype) instead",
-        FutureWarning,
+        DeprecationWarning,
     )
     return _is_categorical_dtype(obj)
 
@@ -1151,7 +1151,7 @@ def is_interval_dtype(obj):
     warnings.warn(
         "is_interval_dtype is deprecated and will be removed in a "
         "future version. Use `isinstance(dtype, cudf.IntervalDtype)` instead",
-        FutureWarning,
+        DeprecationWarning,
     )
     return _is_interval_dtype(obj)
 

python/cudf/cudf/tests/test_api_types.py

@@ -6,7 +6,7 @@
 from pandas.api import types as pd_types
 
 import cudf
-from cudf.core._compat import PANDAS_GE_200, PANDAS_GE_210
+from cudf.core._compat import PANDAS_GE_200, PANDAS_GE_210, PANDAS_GE_214
 from cudf.api import types
 
 from cudf.testing._utils import expect_warning_if
@@ -1038,9 +1038,11 @@ def test_is_decimal_dtype(obj, expect):
     ),
 )
 def test_pandas_agreement(obj):
-    with expect_warning_if(PANDAS_GE_210):
+    with expect_warning_if(
+        PANDAS_GE_210, DeprecationWarning if PANDAS_GE_214 else FutureWarning
+    ):
         expected = pd_types.is_categorical_dtype(obj)
-    with pytest.warns(FutureWarning):
+    with pytest.warns(DeprecationWarning):
         actual = types.is_categorical_dtype(obj)
     assert expected == actual
     assert types.is_numeric_dtype(obj) == pd_types.is_numeric_dtype(obj)