TST: Apply cudf_pandas_test fixes from rapidsaigh-16595

Co-authored-by: galipremsagar <[email protected]>

python/cudf/cudf_pandas_tests/test_cudf_pandas.py

@@ -43,6 +43,8 @@
     get_calendar,
 )
 
+from cudf.core._compat import PANDAS_CURRENT_SUPPORTED_VERSION, PANDAS_VERSION
+
 # Accelerated pandas has the real pandas and cudf modules as attributes
 pd = xpd._fsproxy_slow
 cudf = xpd._fsproxy_fast
@@ -611,6 +613,10 @@ def test_array_function_series_fallback(series):
     tm.assert_equal(expect, got)
 
 
+@pytest.mark.xfail(
+    PANDAS_VERSION < PANDAS_CURRENT_SUPPORTED_VERSION,
+    reason="Fails in older versions of pandas",
+)
 def test_timedeltaproperties(series):
     psr, sr = series
     psr, sr = psr.astype("timedelta64[ns]"), sr.astype("timedelta64[ns]")
@@ -670,6 +676,10 @@ def test_maintain_container_subclasses(multiindex):
     assert isinstance(got, xpd.core.indexes.frozen.FrozenList)
 
 
+@pytest.mark.xfail(
+    PANDAS_VERSION < PANDAS_CURRENT_SUPPORTED_VERSION,
+    reason="Fails in older versions of pandas due to unsupported boxcar window type",
+)
 def test_rolling_win_type():
     pdf = pd.DataFrame(range(5))
     df = xpd.DataFrame(range(5))
@@ -1285,6 +1295,10 @@ def max_times_two(self):
     assert s.max_times_two() == 6
 
 
+@pytest.mark.xfail(
+    PANDAS_VERSION < PANDAS_CURRENT_SUPPORTED_VERSION,
+    reason="DatetimeArray.__floordiv__ missing in pandas-2.0.0",
+)
 def test_floordiv_array_vs_df():
     xarray = xpd.Series([1, 2, 3], dtype="datetime64[ns]").array
     parray = pd.Series([1, 2, 3], dtype="datetime64[ns]").array
@@ -1556,6 +1570,10 @@ def test_numpy_cupy_flatiter(series):
     assert type(arr.flat._fsproxy_slow) == np.flatiter
 
 
+@pytest.mark.xfail(
+    PANDAS_VERSION < PANDAS_CURRENT_SUPPORTED_VERSION,
+    reason="pyarrow_numpy storage type was not supported in pandas-2.0.0",
+)
 def test_arrow_string_arrays():
     cu_s = xpd.Series(["a", "b", "c"])
     pd_s = pd.Series(["a", "b", "c"])

python/cudf/cudf_pandas_tests/test_profiler.py

@@ -5,6 +5,8 @@
 import os
 import subprocess
 
+import pytest
+
 from cudf.pandas import LOADED, Profiler
 
 if not LOADED:
@@ -13,7 +15,13 @@
 import numpy as np
 import pandas as pd
 
+from cudf.core._compat import PANDAS_CURRENT_SUPPORTED_VERSION, PANDAS_VERSION
+
 
+@pytest.mark.skipif(
+    PANDAS_VERSION < PANDAS_CURRENT_SUPPORTED_VERSION,
+    reason="function names change across versions of pandas, so making sure it only runs on latest version of pandas",
+)
 def test_profiler():
     np.random.seed(42)
     with Profiler() as profiler: