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Commitb23a874

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FIX: make sure we have more than 1 tick with small log ranges
If we have both a small target number of ticks and a small displayedrange we would previously pick a tick stride that was the same size orbigger than the visible data range which would result in only 1 tickbeing visible on the axis.This patch ensures that, with a floor at 1, the stride is smaller thanthe estimated data range.re-closes#8768 (same symptoms, different cause)
1 parenta7ac5bb commitb23a874

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‎lib/matplotlib/tests/test_ticker.py

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@@ -1362,3 +1362,13 @@ def test_bad_locator_subs(sub):
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ll=mticker.LogLocator()
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withpytest.raises(ValueError):
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ll.subs(sub)
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@pytest.mark.parametrize('numticks', [1,2,3,9])
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@pytest.mark.style('default')
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deftest_small_range_loglocator(numticks):
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ll=mticker.LogLocator()
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ll.set_params(numticks=numticks)
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fortopin [5,7,9,11,15,50,100,1000]:
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ticks=ll.tick_values(.5,top)
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assert (np.diff(np.log10(ll.tick_values(6,150)))==1).all()

‎lib/matplotlib/ticker.py

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@@ -2479,6 +2479,13 @@ def tick_values(self, vmin, vmax):
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ifmpl.rcParams['_internal.classic_mode']else
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(numdec+1)//numticks+1)
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# if we have decided that the stride is as big or bigger than
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# the range, clip the stride back to the available range - 1
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# with a floor of 1. This prevents getting axis with only 1 tick
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# visible.
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ifstride>=numdec:
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stride=max(1,numdec-1)
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# Does subs include anything other than 1? Essentially a hack to know
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# whether we're a major or a minor locator.
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have_subs=len(subs)>1or (len(subs)==1andsubs[0]!=1.0)

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