MAINT: Fix for future change

Author: bashtage

tests/__init__.py

@@ -7,10 +7,14 @@
     Final,
 )
 
+from packaging.version import parse
+import pandas as pd
+
 from pandas._typing import T
 
 TYPE_CHECKING_INVALID_USAGE: Final = TYPE_CHECKING
 WINDOWS = os.name == "nt" or "cygwin" in platform.system().lower()
+PD_LTE_15 = parse(pd.__version__) < parse("1.5.999")
 
 
 def check(actual: T, klass: type, dtype: type | None = None, attr: str = "left") -> T:

tests/test_frame.py

@@ -36,6 +36,7 @@
 from pandas._typing import Scalar
 
 from tests import (
+    PD_LTE_15,
     TYPE_CHECKING_INVALID_USAGE,
     check,
 )
@@ -933,12 +934,21 @@ def test_types_describe() -> None:
         }
     )
     df.describe()
-    with pytest.warns(FutureWarning, match="Treating datetime data as categorical"):
+    if PD_LTE_15:
+        with pytest.warns(FutureWarning, match="Treating datetime data as categorical"):
+            df.describe(percentiles=[0.5], include="all")
+    else:
         df.describe(percentiles=[0.5], include="all")
-    with pytest.warns(FutureWarning, match="Treating datetime data as categorical"):
-        df.describe(exclude=[np.number])
-    # datetime_is_numeric param added in 1.1.0 https://pandas.pydata.org/docs/whatsnew/v1.1.0.html
-    df.describe(datetime_is_numeric=True)
+    if PD_LTE_15:
+        with pytest.warns(FutureWarning, match="Treating datetime data as categorical"):
+            df.describe(exclude=[np.number])
+    else:
+        df.describe(percentiles=[0.5], include="all")
+    if PD_LTE_15:
+        # datetime_is_numeric param added in 1.1.0
+        # https://pandas.pydata.org/docs/whatsnew/v1.1.0.html
+        # Remove in 2.0.0
+        df.describe(datetime_is_numeric=True)
 
 
 def test_types_to_string() -> None:

tests/test_series.py

@@ -33,6 +33,7 @@
 )
 
 from tests import (
+    PD_LTE_15,
     TYPE_CHECKING_INVALID_USAGE,
     check,
 )
@@ -649,8 +650,12 @@ def test_types_describe() -> None:
     with pytest.warns(DeprecationWarning, match="elementwise comparison failed"):
         s.describe(exclude=np.number)
     # datetime_is_numeric param added in 1.1.0 https://pandas.pydata.org/docs/whatsnew/v1.1.0.html
-    with pytest.warns(DeprecationWarning, match="elementwise comparison failed"):
-        s.describe(datetime_is_numeric=True)
+    if PD_LTE_15:
+        # datetime_is_numeric param added in 1.1.0
+        # https://pandas.pydata.org/docs/whatsnew/v1.1.0.html
+        # Remove in 2.0.0
+        with pytest.warns(DeprecationWarning, match="elementwise comparison failed"):
+            s.describe(datetime_is_numeric=True)
 
 
 def test_types_resample() -> None: