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Backport PR #16450 on branch v3.2.x (Fix interaction between sticky_edges and shared axes.) #16465

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27 changes: 19 additions & 8 deletions lib/matplotlib/axes/_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -2371,14 +2371,25 @@ def autoscale_view(self, tight=None, scalex=True, scaley=True):
if tight is not None:
self._tight = bool(tight)

if self.use_sticky_edges and (
(self._xmargin and scalex and self._autoscaleXon) or
(self._ymargin and scaley and self._autoscaleYon)):
stickies = [artist.sticky_edges for artist in self.get_children()]
else: # Small optimization.
stickies = []
x_stickies = np.sort([x for sticky in stickies for x in sticky.x])
y_stickies = np.sort([y for sticky in stickies for y in sticky.y])
x_stickies = y_stickies = np.array([])
if self.use_sticky_edges:
# Only iterate over axes and artists if needed. The check for
# ``hasattr(ax, "lines")`` is necessary because this can be called
# very early in the axes init process (e.g., for twin axes) when
# these attributes don't even exist yet, in which case
# `get_children` would raise an AttributeError.
if self._xmargin and scalex and self._autoscaleXon:
x_stickies = np.sort(np.concatenate([
artist.sticky_edges.x
for ax in self._shared_x_axes.get_siblings(self)
if hasattr(ax, "lines")
for artist in ax.get_children()]))
if self._ymargin and scaley and self._autoscaleYon:
y_stickies = np.sort(np.concatenate([
artist.sticky_edges.y
for ax in self._shared_y_axes.get_siblings(self)
if hasattr(ax, "lines")
for artist in ax.get_children()]))
if self.get_xscale().lower() == 'log':
x_stickies = x_stickies[x_stickies > 0]
if self.get_yscale().lower() == 'log':
Expand Down
15 changes: 15 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -334,6 +334,21 @@ def test_use_sticky_edges():
assert_allclose(ax.get_ylim(), (-0.5, 1.5))


@check_figures_equal(extensions=["png"])
def test_sticky_shared_axes(fig_test, fig_ref):
# Check that sticky edges work whether they are set in an axes that is a
# "master" in a share, or an axes that is a "follower".
Z = np.arange(15).reshape(3, 5)

ax0 = fig_test.add_subplot(211)
ax1 = fig_test.add_subplot(212, sharex=ax0)
ax1.pcolormesh(Z)

ax0 = fig_ref.add_subplot(212)
ax1 = fig_ref.add_subplot(211, sharex=ax0)
ax0.pcolormesh(Z)


@image_comparison(['offset_points'], remove_text=True)
def test_basic_annotate():
# Setup some data
Expand Down