diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index c99b0771e2f1..afc5a71059e7 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -4943,7 +4943,9 @@ def reduce_C_function(C: array) -> float
# autoscale the norm with current accum values if it hasn't been set
if norm is not None:
if norm.vmin is None and norm.vmax is None:
- norm.autoscale(accum)
+ norm.autoscale_None(accum)
+ norm.vmin = np.ma.masked if norm.vmin is None else norm.vmin
+ norm.vmax = np.ma.masked if norm.vmax is None else norm.vmax
if bins is not None:
if not np.iterable(bins):
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 405560d4a386..8e12cad044dc 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -901,6 +901,14 @@ def test_hexbin_empty():
ax.hexbin([], [])
+@image_comparison(['hexbin_empty.png'], remove_text=True)
+def test_hexbin_log_empty():
+ # From #23922: creating hexbin with log scaling from empty
+ # dataset raises ValueError
+ ax = plt.gca()
+ ax.hexbin([], [], bins='log')
+
+
def test_hexbin_pickable():
# From #1973: Test that picking a hexbin collection works
fig, ax = plt.subplots()
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