diff --git a/graphblas/core/formatting.py b/graphblas/core/formatting.py
index cd9380c0c..63c06f747 100644
--- a/graphblas/core/formatting.py
+++ b/graphblas/core/formatting.py
@@ -443,7 +443,18 @@ def base(v):
         return base
 
     def formatter(v):
-        return base(v) if abs(v) > threshold else base(0.0)
+        try:
+            mag = abs(v)
+        except OverflowError:
+            # abs() of a python complex overflows for finite components near
+            # the float max, where numpy's abs returns inf. pandas computes the
+            # magnitude with numpy, so such a value is never chopped.
+            return base(v)
+        # Chop to the value's own type of zero. pandas chops at the array
+        # level, so a chopped complex renders " 0.000000+0.000000j"; a bare
+        # float zero here would put a j-less string into the complex column,
+        # which _trim_zeros_complex cannot parse.
+        return base(v) if mag > threshold else base(type(v)(0))
 
     return formatter
 
diff --git a/graphblas/tests/test_formatting.py b/graphblas/tests/test_formatting.py
index 264dc0502..8f41dcb7d 100644
--- a/graphblas/tests/test_formatting.py
+++ b/graphblas/tests/test_formatting.py
@@ -4931,3 +4931,33 @@ def test_vector_as_matrix():
         "</table>\n"
         "</div></details></div>"
     )
+
+
+@pytest.mark.skipif("not pd")
+@pytest.mark.skipif("not dtypes._supports_complex")
+def test_chop_threshold_complex():
+    # The COO (long) form formats complex columns through the float column
+    # formatter, where display.chop_threshold compares each value's magnitude.
+    big = float(np.finfo(np.float64).max)
+    v = Vector.from_coo(
+        [10_000, 500_000], [complex(big, big), complex(1e-7, 0)], size=10**6, dtype="FC64"
+    )
+    with pd.option_context("display.chop_threshold", 1e-8):
+        # abs() of a python complex overflows for components near the float
+        # max; numpy's abs is inf, so nothing chops and this must render.
+        # Byte-identical to the pandas renderer, verified against 6f1eb02.
+        r = repr(v)
+        assert "1.797693e+308+1.797693e+308j" in r
+        assert "1.000000e-07+ 0.000000e+00j" in r
+        v._repr_html_()
+        # A value below the threshold chops to complex zero. pandas 3.0.3
+        # itself crashes on this input (its own _trim_zeros_complex cannot
+        # parse the float zero its chop substitutes into a complex column),
+        # so rendering at all is deliberately better than byte-identity.
+        w = Vector.from_coo(
+            [10_000, 500_000], [complex(1.0, 1.0), complex(5e-9, 0)], size=10**6, dtype="FC64"
+        )
+        r = repr(w)
+        assert "1.000000e+00+1.000000e+00j" in r
+        assert "0.000000e+00+0.000000e+00j" in r
+        w._repr_html_()