matplotlib
diff --git a/Collapse file
‎lib/matplotlib/axes/_axes.py‎
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+3-1Lines changed: 3 additions & 1 deletion b/Collapse file
‎lib/matplotlib/axes/_axes.py‎
Copy file name to clipboardExpand all lines: lib/matplotlib/axes/_axes.py
+3-1Lines changed: 3 additions & 1 deletion
diff --git a/Collapse file
‎lib/matplotlib/tests/test_axes.py‎
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+8Lines changed: 8 additions & 0 deletions b/Collapse file
‎lib/matplotlib/tests/test_axes.py‎
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_axes.py
+8Lines changed: 8 additions & 0 deletions
@@ -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):
 
@@ -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()