diff --git a/lib/matplotlib/tests/test_ticker.py b/lib/matplotlib/tests/test_ticker.py
index 27520f26b9b9..b564fb6df1b1 100644
--- a/lib/matplotlib/tests/test_ticker.py
+++ b/lib/matplotlib/tests/test_ticker.py
@@ -1362,3 +1362,13 @@ 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()
diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
index 07cc521a9401..7a5e3ea60501 100644
--- a/lib/matplotlib/ticker.py
+++ b/lib/matplotlib/ticker.py
@@ -2479,6 +2479,13 @@ 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)
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