Add CurrentPandasWarning

pandas/_libs/tslibs/timestamps.pyx

@@ -51,7 +51,7 @@ from pandas._libs.tslibs cimport ccalendar
 from pandas._libs.tslibs.base cimport ABCTimestamp
 
 from pandas.util._exceptions import (
-    Pandas40DeprecationWarning,
+    CurrentDeprecationWarning,
     find_stack_level,
 )
 
@@ -1536,7 +1536,7 @@ class Timestamp(_Timestamp):
             #  GH#56680
             "Timestamp.utcnow is deprecated and will be removed in a future "
             "version. Use Timestamp.now('UTC') instead.",
-            Pandas40DeprecationWarning,
+            CurrentDeprecationWarning,
             stacklevel=find_stack_level(),
         )
         return cls.now(UTC)
@@ -1564,7 +1564,7 @@ class Timestamp(_Timestamp):
             #  to match. GH#56680
             "Timestamp.utcfromtimestamp is deprecated and will be removed in a "
             "future version. Use Timestamp.fromtimestamp(ts, 'UTC') instead.",
-            Pandas40DeprecationWarning,
+            CurrentDeprecationWarning,
             stacklevel=find_stack_level(),
         )
         return cls.fromtimestamp(ts, tz="UTC")

pandas/core/generic.py

@@ -98,7 +98,7 @@
     doc,
 )
 from pandas.util._exceptions import (
-    Pandas40DeprecationWarning,
+    CurrentDeprecationWarning,
     find_stack_level,
 )
 from pandas.util._validators import (
@@ -2573,15 +2573,15 @@ def to_json(
                 warnings.warn(
                     "The default 'epoch' date format is deprecated and will be removed "
                     "in a future version, please use 'iso' date format instead.",
-                    Pandas40DeprecationWarning,
+                    CurrentDeprecationWarning,
                     stacklevel=find_stack_level(),
                 )
         elif date_format == "epoch":
             # GH#57063
             warnings.warn(
                 "'epoch' date format is deprecated and will be removed in a future "
                 "version, please use 'iso' date format instead.",
-                Pandas40DeprecationWarning,
+                CurrentDeprecationWarning,
                 stacklevel=find_stack_level(),
             )
 
@@ -4309,7 +4309,7 @@ def _check_copy_deprecation(copy):
                 "version. Copy-on-Write is active in pandas since 3.0 which utilizes "
                 "a lazy copy mechanism that defers copies until necessary. Use "
                 ".copy() to make an eager copy if necessary.",
-                Pandas40DeprecationWarning,
+                CurrentDeprecationWarning,
                 stacklevel=find_stack_level(),
             )
 

pandas/core/groupby/generic.py

@@ -34,7 +34,7 @@
     doc,
 )
 from pandas.util._exceptions import (
-    Pandas40DeprecationWarning,
+    CurrentDeprecationWarning,
     find_stack_level,
 )
 
@@ -2794,7 +2794,7 @@ def corrwith(
         """
         warnings.warn(
             "DataFrameGroupBy.corrwith is deprecated",
-            Pandas40DeprecationWarning,
+            CurrentDeprecationWarning,
             stacklevel=find_stack_level(),
         )
         result = self._op_via_apply(

pandas/core/indexes/accessors.py

@@ -15,7 +15,7 @@
 
 from pandas._libs import lib
 from pandas.util._exceptions import (
-    Pandas40DeprecationWarning,
+    CurrentDeprecationWarning,
     find_stack_level,
 )
 
@@ -221,7 +221,7 @@ def to_pytimedelta(self):
             "in a future version this will return a Series containing python "
             "datetime.timedelta objects instead of an ndarray. To retain the "
             "old behavior, call `np.array` on the result",
-            Pandas40DeprecationWarning,
+            CurrentDeprecationWarning,
             stacklevel=find_stack_level(),
         )
         return cast(ArrowExtensionArray, self._parent.array)._dt_to_pytimedelta()
@@ -482,7 +482,7 @@ def to_pytimedelta(self) -> np.ndarray:
             "in a future version this will return a Series containing python "
             "datetime.timedelta objects instead of an ndarray. To retain the "
             "old behavior, call `np.array` on the result",
-            Pandas40DeprecationWarning,
+            CurrentDeprecationWarning,
             stacklevel=find_stack_level(),
         )
         return self._get_values().to_pytimedelta()

pandas/core/internals/api.py

@@ -15,7 +15,7 @@
 import numpy as np
 
 from pandas._libs.internals import BlockPlacement
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 
 from pandas.core.dtypes.common import pandas_dtype
 from pandas.core.dtypes.dtypes import (
@@ -94,7 +94,7 @@ def make_block(
         "make_block is deprecated and will be removed in a future version. "
         "Use pd.api.internals.create_dataframe_from_blocks or "
         "(recommended) higher-level public APIs instead.",
-        Pandas40DeprecationWarning,
+        CurrentDeprecationWarning,
         stacklevel=2,
     )
 

pandas/core/reshape/concat.py

@@ -19,7 +19,7 @@
 from pandas._libs import lib
 from pandas.util._decorators import cache_readonly
 from pandas.util._exceptions import (
-    Pandas40DeprecationWarning,
+    CurrentDeprecationWarning,
     find_stack_level,
 )
 
@@ -385,7 +385,7 @@ def concat(
             "version. Copy-on-Write is active in pandas since 3.0 which utilizes "
             "a lazy copy mechanism that defers copies until necessary. Use "
             ".copy() to make an eager copy if necessary.",
-            Pandas40DeprecationWarning,
+            CurrentDeprecationWarning,
             stacklevel=find_stack_level(),
         )
 

pandas/io/feather_format.py

@@ -13,7 +13,7 @@
 from pandas._libs import lib
 from pandas.compat._optional import import_optional_dependency
 from pandas.util._decorators import doc
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 from pandas.util._validators import check_dtype_backend
 
 import pandas as pd
@@ -137,7 +137,7 @@ def read_feather(
                 warnings.filterwarnings(
                     "ignore",
                     "make_block is deprecated",
-                    Pandas40DeprecationWarning,
+                    CurrentDeprecationWarning,
                 )
 
                 return feather.read_feather(

pandas/io/parquet.py

@@ -21,7 +21,7 @@
 from pandas.compat._optional import import_optional_dependency
 from pandas.errors import AbstractMethodError
 from pandas.util._decorators import doc
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 from pandas.util._validators import check_dtype_backend
 
 import pandas as pd
@@ -279,7 +279,7 @@ def read(
                 filterwarnings(
                     "ignore",
                     "make_block is deprecated",
-                    Pandas40DeprecationWarning,
+                    CurrentDeprecationWarning,
                 )
                 result = pa_table.to_pandas(**to_pandas_kwargs)
 
@@ -398,7 +398,7 @@ def read(
                 filterwarnings(
                     "ignore",
                     "make_block is deprecated",
-                    Pandas40DeprecationWarning,
+                    CurrentDeprecationWarning,
                 )
                 return parquet_file.to_pandas(
                     columns=columns, filters=filters, **kwargs

pandas/io/parsers/arrow_parser_wrapper.py

@@ -12,7 +12,7 @@
     ParserWarning,
 )
 from pandas.util._exceptions import (
-    Pandas40DeprecationWarning,
+    CurrentDeprecationWarning,
     find_stack_level,
 )
 
@@ -294,7 +294,7 @@ def read(self) -> DataFrame:
             warnings.filterwarnings(
                 "ignore",
                 "make_block is deprecated",
-                Pandas40DeprecationWarning,
+                CurrentDeprecationWarning,
             )
             if dtype_backend == "pyarrow":
                 frame = table.to_pandas(types_mapper=pd.ArrowDtype)

pandas/tests/copy_view/test_copy_deprecation.py

@@ -1,6 +1,6 @@
 import pytest
 
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 
 import pandas as pd
 from pandas import (
@@ -40,34 +40,34 @@ def test_copy_deprecation(meth, kwargs):
         df = df.set_index(["b", "c"])
 
     if meth != "swaplevel":
-        with tm.assert_produces_warning(Pandas40DeprecationWarning, match="copy"):
+        with tm.assert_produces_warning(CurrentDeprecationWarning, match="copy"):
             getattr(df, meth)(copy=False, **kwargs)
 
     if meth != "transpose":
-        with tm.assert_produces_warning(Pandas40DeprecationWarning, match="copy"):
+        with tm.assert_produces_warning(CurrentDeprecationWarning, match="copy"):
             getattr(df.a, meth)(copy=False, **kwargs)
 
 
 def test_copy_deprecation_reindex_like_align():
     df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
     # Somehow the stack level check is incorrect here
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         df.reindex_like(df, copy=False)
 
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         df.a.reindex_like(df.a, copy=False)
 
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         df.align(df, copy=False)
 
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         df.a.align(df.a, copy=False)
 
@@ -76,16 +76,16 @@ def test_copy_deprecation_merge_concat():
     df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
 
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         df.merge(df, copy=False)
 
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         merge(df, df, copy=False)
 
     with tm.assert_produces_warning(
-        Pandas40DeprecationWarning, match="copy", check_stacklevel=False
+        CurrentDeprecationWarning, match="copy", check_stacklevel=False
     ):
         concat([df, df], copy=False)

pandas/tests/extension/test_arrow.py

@@ -43,7 +43,7 @@
     pa_version_under13p0,
     pa_version_under14p0,
 )
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 import pandas.util._test_decorators as td
 
 from pandas.core.dtypes.dtypes import (
@@ -2863,14 +2863,14 @@ def test_dt_to_pytimedelta():
     ser = pd.Series(data, dtype=ArrowDtype(pa.duration("ns")))
 
     msg = "The behavior of ArrowTemporalProperties.to_pytimedelta is deprecated"
-    with tm.assert_produces_warning(Pandas40DeprecationWarning, match=msg):
+    with tm.assert_produces_warning(CurrentDeprecationWarning, match=msg):
         result = ser.dt.to_pytimedelta()
     expected = np.array(data, dtype=object)
     tm.assert_numpy_array_equal(result, expected)
     assert all(type(res) is timedelta for res in result)
 
     msg = "The behavior of TimedeltaProperties.to_pytimedelta is deprecated"
-    with tm.assert_produces_warning(Pandas40DeprecationWarning, match=msg):
+    with tm.assert_produces_warning(CurrentDeprecationWarning, match=msg):
         expected = ser.astype("timedelta64[ns]").dt.to_pytimedelta()
     tm.assert_numpy_array_equal(result, expected)
 

pandas/tests/frame/methods/test_reindex_like.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 
 from pandas import DataFrame
 import pandas._testing as tm
@@ -24,10 +24,10 @@ def test_reindex_like(self, float_frame):
     def test_reindex_like_methods(self, method, expected_values):
         df = DataFrame({"x": list(range(5))})
 
-        with tm.assert_produces_warning(Pandas40DeprecationWarning):
+        with tm.assert_produces_warning(CurrentDeprecationWarning):
             result = df.reindex_like(df, method=method, tolerance=0)
         tm.assert_frame_equal(df, result)
-        with tm.assert_produces_warning(Pandas40DeprecationWarning):
+        with tm.assert_produces_warning(CurrentDeprecationWarning):
             result = df.reindex_like(df, method=method, tolerance=[0, 0, 0, 0])
         tm.assert_frame_equal(df, result)
 

pandas/tests/groupby/test_all_methods.py

@@ -13,7 +13,7 @@
 
 import pytest
 
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 
 import pandas as pd
 from pandas import DataFrame
@@ -28,7 +28,7 @@ def test_multiindex_group_all_columns_when_empty(groupby_func):
     method = getattr(gb, groupby_func)
     args = get_groupby_method_args(groupby_func, df)
     if groupby_func == "corrwith":
-        warn = Pandas40DeprecationWarning
+        warn = CurrentDeprecationWarning
         warn_msg = "DataFrameGroupBy.corrwith is deprecated"
     else:
         warn = None
@@ -74,7 +74,7 @@ def test_dup_labels_output_shape(groupby_func, idx):
 
     args = get_groupby_method_args(groupby_func, df)
     if groupby_func == "corrwith":
-        warn = Pandas40DeprecationWarning
+        warn = CurrentDeprecationWarning
         warn_msg = "DataFrameGroupBy.corrwith is deprecated"
     else:
         warn = None

pandas/tests/groupby/test_apply.py

@@ -6,7 +6,7 @@
 import numpy as np
 import pytest
 
-from pandas.util._exceptions import Pandas40DeprecationWarning
+from pandas.util._exceptions import CurrentDeprecationWarning
 
 import pandas as pd
 from pandas import (
@@ -1200,7 +1200,7 @@ def test_apply_is_unchanged_when_other_methods_are_called_first(reduction_func):
     grp = df.groupby(by="a")
     args = get_groupby_method_args(reduction_func, df)
     if reduction_func == "corrwith":
-        warn = Pandas40DeprecationWarning
+        warn = CurrentDeprecationWarning
         msg = "DataFrameGroupBy.corrwith is deprecated"
     else:
         warn = None