diff --git a/tests/dataframe/test_groupby_pytest.py b/tests/dataframe/test_groupby_pytest.py
index e6be6c05..73ab836c 100644
--- a/tests/dataframe/test_groupby_pytest.py
+++ b/tests/dataframe/test_groupby_pytest.py
@@ -23,6 +23,17 @@
 
 from tests.common import TestData
 
+PANDAS_MAJOR_VERSION = int(pd.__version__.split(".")[0])
+
+
+# The mean absolute difference (mad) aggregation has been removed from
+# pandas with major version 2:
+# https://github.com/pandas-dev/pandas/issues/11787
+# To compare whether eland's version of it works, we need to implement
+# it here ourselves.
+def mad(x):
+    return abs(x - x.mean()).mean()
+
 
 class TestGroupbyDataFrame(TestData):
     funcs = ["max", "min", "mean", "sum"]
@@ -71,7 +82,7 @@ def test_groupby_aggregate_single_aggs(self, pd_agg):
     @pytest.mark.parametrize("dropna", [True, False])
     @pytest.mark.parametrize("pd_agg", ["max", "min", "mean", "sum", "median"])
     def test_groupby_aggs_numeric_only_true(self, pd_agg, dropna):
-        # Pandas has numeric_only  applicable for the above aggs with groupby only.
+        # Pandas has numeric_only applicable for the above aggs with groupby only.
 
         pd_flights = self.pd_flights().filter(self.filter_data)
         ed_flights = self.ed_flights().filter(self.filter_data)
@@ -95,7 +106,14 @@ def test_groupby_aggs_mad_var_std(self, pd_agg, dropna):
         pd_flights = self.pd_flights().filter(self.filter_data)
         ed_flights = self.ed_flights().filter(self.filter_data)
 
-        pd_groupby = getattr(pd_flights.groupby("Cancelled", dropna=dropna), pd_agg)()
+        # The mad aggregation has been removed in Pandas 2, so we need to use
+        # our own implementation if we run the tests with Pandas 2 or higher
+        if PANDAS_MAJOR_VERSION >= 2 and pd_agg == "mad":
+            pd_groupby = pd_flights.groupby("Cancelled", dropna=dropna).aggregate(mad)
+        else:
+            pd_groupby = getattr(
+                pd_flights.groupby("Cancelled", dropna=dropna), pd_agg
+            )()
         ed_groupby = getattr(ed_flights.groupby("Cancelled", dropna=dropna), pd_agg)(
             numeric_only=True
         )
@@ -211,14 +229,20 @@ def test_groupby_dataframe_mad(self):
         pd_flights = self.pd_flights().filter(self.filter_data + ["DestCountry"])
         ed_flights = self.ed_flights().filter(self.filter_data + ["DestCountry"])
 
-        pd_mad = pd_flights.groupby("DestCountry").mad()
+        if PANDAS_MAJOR_VERSION < 2:
+            pd_mad = pd_flights.groupby("DestCountry").mad()
+        else:
+            pd_mad = pd_flights.groupby("DestCountry").aggregate(mad)
         ed_mad = ed_flights.groupby("DestCountry").mad()
 
         assert_index_equal(pd_mad.columns, ed_mad.columns)
         assert_index_equal(pd_mad.index, ed_mad.index)
         assert_series_equal(pd_mad.dtypes, ed_mad.dtypes)
 
-        pd_min_mad = pd_flights.groupby("DestCountry").aggregate(["min", "mad"])
+        if PANDAS_MAJOR_VERSION < 2:
+            pd_min_mad = pd_flights.groupby("DestCountry").aggregate(["min", "mad"])
+        else:
+            pd_min_mad = pd_flights.groupby("DestCountry").aggregate(["min", mad])
         ed_min_mad = ed_flights.groupby("DestCountry").aggregate(["min", "mad"])
 
         assert_index_equal(pd_min_mad.columns, ed_min_mad.columns)