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Backport PR #28393 on branch v3.9.x (Make sticky edges only apply if the sticky edge is the most extreme limit point) #28483

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6 changes: 6 additions & 0 deletions lib/matplotlib/axes/_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -2969,9 +2969,15 @@ def handle_single_axis(
# Index of largest element < x0 + tol, if any.
i0 = stickies.searchsorted(x0 + tol) - 1
x0bound = stickies[i0] if i0 != -1 else None
# Ensure the boundary acts only if the sticky is the extreme value
if x0bound is not None and x0bound > x0:
x0bound = None
# Index of smallest element > x1 - tol, if any.
i1 = stickies.searchsorted(x1 - tol)
x1bound = stickies[i1] if i1 != len(stickies) else None
# Ensure the boundary acts only if the sticky is the extreme value
if x1bound is not None and x1bound < x1:
x1bound = None

# Add the margin in figure space and then transform back, to handle
# non-linear scales.
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19 changes: 19 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -682,6 +682,25 @@ def test_sticky_shared_axes(fig_test, fig_ref):
ax0.pcolormesh(Z)


@image_comparison(['sticky_tolerance.png'], remove_text=True, style="mpl20")
def test_sticky_tolerance():
fig, axs = plt.subplots(2, 2)

width = .1

axs.flat[0].bar(x=0, height=width, bottom=20000.6)
axs.flat[0].bar(x=1, height=width, bottom=20000.1)

axs.flat[1].bar(x=0, height=-width, bottom=20000.6)
axs.flat[1].bar(x=1, height=-width, bottom=20000.1)

axs.flat[2].barh(y=0, width=-width, left=-20000.6)
axs.flat[2].barh(y=1, width=-width, left=-20000.1)

axs.flat[3].barh(y=0, width=width, left=-20000.6)
axs.flat[3].barh(y=1, width=width, left=-20000.1)


def test_nargs_stem():
with pytest.raises(TypeError, match='0 were given'):
# stem() takes 1-3 arguments.
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