diff --git a/src/pykx/pandas_api/pandas_meta.py b/src/pykx/pandas_api/pandas_meta.py
index 39668d5..91cc147 100644
--- a/src/pykx/pandas_api/pandas_meta.py
+++ b/src/pykx/pandas_api/pandas_meta.py
@@ -50,9 +50,9 @@ def _get_bool_only_subtable(tab):
 
 
 def preparse_computations(tab, axis=0, skipna=True, numeric_only=False, bool_only=False):
-    cols = q('cols', tab)
     if 'Keyed' in str(type(tab)):
-        tab = q('{(keys x) _ 0!x}', tab)
+        tab = tab.values()
+    cols = tab.columns
     if numeric_only:
         (tab, cols) = _get_numeric_only_subtable_with_bools(tab)
     if bool_only:
diff --git a/tests/test_pandas_api.py b/tests/test_pandas_api.py
index acfe55f..d1247ea 100644
--- a/tests/test_pandas_api.py
+++ b/tests/test_pandas_api.py
@@ -1810,6 +1810,15 @@ def test_pandas_max(q):
     for i in range(100):
         assert float(qmax[i]) == float(pmax[i])
 
+    ktab = tab.set_index('sym')
+    df = ktab.pd()
+
+    qmax = ktab.max().py()
+    pmax = df.max()
+
+    assert float(pmax['price']) == qmax['price']
+    assert float(pmax['ints']) == qmax['ints']
+
 
 def test_pandas_all(q):
     tab = q(