diff --git a/autofit/non_linear/plot/samples_plotters.py b/autofit/non_linear/plot/samples_plotters.py
index 773879f8d..df8b5356b 100644
--- a/autofit/non_linear/plot/samples_plotters.py
+++ b/autofit/non_linear/plot/samples_plotters.py
@@ -9,6 +9,27 @@
 logger = logging.getLogger(__name__)
 
 
+def _corner_range_from(data):
+    """Per-column ``(min, max)`` plot ranges for a corner figure.
+
+    ``corner`` raises "no dynamic range" if any column has zero spread (every
+    sample equal). That is a legitimate input — a reduced-iteration run (e.g.
+    ``PYAUTO_TEST_MODE=1``) or a parameter that has converged flat — so we hand
+    it an explicit per-column range rather than let it crash. Columns with real
+    spread keep their ``(min, max)``; degenerate columns are widened to a small
+    non-zero window centred on the value so the plot still renders.
+    """
+    mins = np.asarray(data).min(axis=0)
+    maxs = np.asarray(data).max(axis=0)
+    plot_range = []
+    for lower, upper in zip(mins, maxs):
+        if lower == upper:
+            pad = max(abs(lower) * 1e-4, 1e-8)
+            lower, upper = lower - pad, upper + pad
+        plot_range.append((lower, upper))
+    return plot_range
+
+
 @skip_in_test_mode
 def corner_cornerpy(samples, path=None, filename="corner", format="show", **kwargs):
     data = np.asarray(samples.parameter_lists)
@@ -34,6 +55,7 @@ def corner_cornerpy(samples, path=None, filename="corner", format="show", **kwar
         data=data,
         weight_list=samples.weight_list,
         labels=samples.model.parameter_labels_with_superscripts_latex,
+        range=_corner_range_from(data),
     )
 
     output_figure(path=path, filename=filename, format=format)
diff --git a/test_autofit/non_linear/plot/__init__.py b/test_autofit/non_linear/plot/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/test_autofit/non_linear/plot/test_samples_plotters.py b/test_autofit/non_linear/plot/test_samples_plotters.py
new file mode 100644
index 000000000..7ca9c2773
--- /dev/null
+++ b/test_autofit/non_linear/plot/test_samples_plotters.py
@@ -0,0 +1,43 @@
+import numpy as np
+
+from autofit.non_linear.plot.samples_plotters import _corner_range_from
+
+
+def test__corner_range__real_spread_columns_preserved():
+    data = np.array(
+        [
+            [1.0, 10.0],
+            [2.0, 20.0],
+            [3.0, 30.0],
+        ]
+    )
+
+    plot_range = _corner_range_from(data)
+
+    assert plot_range == [(1.0, 3.0), (10.0, 30.0)]
+
+
+def test__corner_range__degenerate_columns_widened_to_nonzero_span():
+    # Columns 0, 1, 2 have no dynamic range (all samples equal) — the input
+    # that made `corner` raise "no dynamic range". Column 3 has real spread.
+    data = np.array(
+        [
+            [0.0, 5.0, -2.0, 1.0],
+            [0.0, 5.0, -2.0, 2.0],
+            [0.0, 5.0, -2.0, 3.0],
+        ]
+    )
+
+    plot_range = _corner_range_from(data)
+
+    # Every column ends up with a strictly positive width, so `corner` gets a
+    # valid range for all of them and does not raise.
+    for lower, upper in plot_range:
+        assert upper > lower
+
+    # Degenerate windows stay centred on the constant value.
+    for (lower, upper), value in zip(plot_range[:3], [0.0, 5.0, -2.0]):
+        assert lower < value < upper
+
+    # The real-spread column is left untouched.
+    assert plot_range[3] == (1.0, 3.0)