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FIX: ValueError when hexbin is run with empty arrays and log scaling. #23944

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Sep 23, 2022
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4 changes: 3 additions & 1 deletion lib/matplotlib/axes/_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -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):
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8 changes: 8 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -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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