@@ -43,4 +43,7 @@ Fixes
 
 * remove no longer displayable variables from the variable list (for example,
   when a variable represents an open file and the file is closed).
-  Closes :editor_issue:`327`).
+  Closes :editor_issue:`327`).
+
+* fixed displaying Pandas 3+ DataFrame and Series when pyarrow is not installed
+  (closes :editor_issue:`322`).
@@ -1882,36 +1882,26 @@ def get_hnames(self):
     def get_vnames(self):
         return self.data.index.names
 
-    @staticmethod
-    def _ensure_numpy_array(data):
-        """Convert data to a numpy array if it is not already one."""
-        pd = sys.modules['pandas']
-        if isinstance(data, pd.arrays.ArrowStringArray):
-            return data.to_numpy()
-        else:
-            assert isinstance(data, np.ndarray)
-            return data
-
     def get_vlabels_values(self, start, stop):
         pd = sys.modules['pandas']
         index = self.sorted_data.index[start:stop]
         if isinstance(index, pd.MultiIndex):
             # It seems like Pandas always returns a 1D array of tuples for
-            # MultiIndex.values, even if the MultiIndex has an homoneneous
-            # string type. That's why we do not need _ensure_numpy_array here
+            # MultiIndex.to_numpy(), even if the MultiIndex has an homogeneous
+            # string type.
             # list(row) because we want a list of list and not a list of tuples
-            return [list(row) for row in index.values]
+            return [list(row) for row in index.to_numpy()]
         else:
-            return self._ensure_numpy_array(index.values)[:, np.newaxis]
+            return index.to_numpy()[:, np.newaxis]
 
     def get_hlabels_values(self, start, stop):
         pd = sys.modules['pandas']
         index = self.sorted_data.columns[start:stop]
         if isinstance(index, pd.MultiIndex):
-            return [self._ensure_numpy_array(index.get_level_values(i).values)
+            return [index.get_level_values(i).to_numpy()
                     for i in range(index.nlevels)]
         else:
-            return [self._ensure_numpy_array(index.values)]
+            return [index.to_numpy()]
 
     def get_values(self, h_start, v_start, h_stop, v_stop):
         pd = sys.modules['pandas']
@@ -2015,16 +2005,16 @@ def get_vlabels_values(self, start, stop):
         index = self.data.index[start:stop]
         if isinstance(index, pd.MultiIndex):
             # returns a 1D array of tuples
-            return index.values
+            return index.to_numpy()
         else:
-            return index.values[:, np.newaxis]
+            return index.to_numpy()[:, np.newaxis]
 
     def get_hlabels_values(self, start, stop):
         return [['']]
 
     def get_values(self, h_start, v_start, h_stop, v_stop):
         assert h_start == 0
-        return self.data.iloc[v_start:v_stop].values.reshape(-1, 1)
+        return self.data.iloc[v_start:v_stop].to_numpy().reshape(-1, 1)
 
 
 @adapter_for('pandas.core.groupby.generic.DataFrameGroupBy')