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Backport PR #18754 on branch v3.3.x (FIX: make sure we have more than 1 tick with small log ranges) #18786

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10 changes: 10 additions & 0 deletions lib/matplotlib/tests/test_ticker.py
Original file line number Diff line number Diff line change
Expand Up @@ -1347,3 +1347,13 @@ def test_bad_locator_subs(sub):
ll = mticker.LogLocator()
with pytest.raises(ValueError):
ll.subs(sub)


@pytest.mark.parametrize('numticks', [1, 2, 3, 9])
@pytest.mark.style('default')
def test_small_range_loglocator(numticks):
ll = mticker.LogLocator()
ll.set_params(numticks=numticks)
for top in [5, 7, 9, 11, 15, 50, 100, 1000]:
ticks = ll.tick_values(.5, top)
assert (np.diff(np.log10(ll.tick_values(6, 150))) == 1).all()
7 changes: 7 additions & 0 deletions lib/matplotlib/ticker.py
Original file line number Diff line number Diff line change
Expand Up @@ -2500,6 +2500,13 @@ def tick_values(self, vmin, vmax):
if mpl.rcParams['_internal.classic_mode'] else
(numdec + 1) // numticks + 1)

# if we have decided that the stride is as big or bigger than
# the range, clip the stride back to the available range - 1
# with a floor of 1. This prevents getting axis with only 1 tick
# visible.
if stride >= numdec:
stride = max(1, numdec - 1)

# Does subs include anything other than 1? Essentially a hack to know
# whether we're a major or a minor locator.
have_subs = len(subs) > 1 or (len(subs) == 1 and subs[0] != 1.0)
Expand Down