diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index ee061e7b7d3e6..e58779c090d8f 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -445,6 +445,12 @@ provides a familiar ``DataFrame`` interface for out-of-core, parallel and distri
Dask-ML enables parallel and distributed machine learning using Dask alongside existing machine learning libraries like Scikit-Learn, XGBoost, and TensorFlow.
+`Ibis `__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Ibis offers a standard way to write analytics code, that can be run in multiple engines. It helps in bridging the gap between local Python environments (like pandas) and remote storage and execution systems like Hadoop components (like HDFS, Impala, Hive, Spark) and SQL databases (Postgres, etc.).
+
+
`Koalas `__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/pandas/tests/scalar/timedelta/test_arithmetic.py b/pandas/tests/scalar/timedelta/test_arithmetic.py
index 9f6cdbb81bd89..7dfda0463ecaf 100644
--- a/pandas/tests/scalar/timedelta/test_arithmetic.py
+++ b/pandas/tests/scalar/timedelta/test_arithmetic.py
@@ -10,7 +10,6 @@
import numpy as np
import pytest
-from pandas.compat import is_numpy_dev
from pandas.errors import OutOfBoundsTimedelta
import pandas as pd
@@ -18,7 +17,6 @@
NaT,
Timedelta,
Timestamp,
- compat,
offsets,
)
import pandas._testing as tm
@@ -434,15 +432,7 @@ def test_td_div_numeric_scalar(self):
"nan",
[
np.nan,
- pytest.param(
- np.float64("NaN"),
- marks=pytest.mark.xfail(
- # Works on numpy dev only in python 3.9
- is_numpy_dev and not compat.PY39,
- raises=RuntimeWarning,
- reason="https://github.com/pandas-dev/pandas/issues/31992",
- ),
- ),
+ np.float64("NaN"),
float("nan"),
],
)