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FIX Update Axes limits from Axes.add_collection(... autolim=True) #30327

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... the update now happens separately for both directions, and only if that direction uses data coordinates. Previously, limits were always recalculated for both directions.

Closes #30320.

... the update now happens separately for both directions, and only if
that direction uses data coordinates. Previously, limits were always
recalculated for both directions.

Closes matplotlib#30320.
Comment on lines +904 to +918
# sample data to give initial data limits
ax.plot([2, 3, 4], [0.4, 0.6, 0.5])
np.testing.assert_allclose((ax.dataLim.xmin, ax.dataLim.xmax), (2, 4))
data_ymin, data_ymax = ax.dataLim.ymin, ax.dataLim.ymax

f, ax = plt.subplots()
# LineCollection with vertical lines spanning the Axes vertical, using transAxes
x = [1, 2, 3, 4, 5]
vertical_lines = [np.array([[xi, 0], [xi, 1]]) for xi in x]
trans = mtransforms.blended_transform_factory(ax.transData, ax.transAxes)
ax.add_collection(LineCollection(line_segs, transform=trans))
ax.autoscale_view(scalex=True, scaley=False)
np.testing.assert_allclose(ax.get_xlim(), [1., 4.])
ax.add_collection(LineCollection(vertical_lines, transform=trans))

# check that the x data limits are updated to include the LineCollection
np.testing.assert_allclose((ax.dataLim.xmin, ax.dataLim.xmax), (1, 5))
# check that the y data limits are not updated (because they are not transData)
np.testing.assert_allclose((ax.dataLim.ymin, ax.dataLim.ymax), (0.4, 0.6))
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Note 1: Before, the test did only check that the x data limits were expanded. It did not investigate the y data limits. Now it also ensures, that y data limits are not changed.

Note 2: I've switched from testing view limits to testing data limits, because that's the relevant quantity autolim influences. We save the autoscale_view() by not looking at the view limits.

# check that the x data limits are updated to include the LineCollection
np.testing.assert_allclose((ax.dataLim.xmin, ax.dataLim.xmax), (1, 5))
# check that the y data limits are not updated (because they are not transData)
np.testing.assert_allclose((ax.dataLim.ymin, ax.dataLim.ymax), (0.4, 0.6))
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Suggested change
np.testing.assert_allclose((ax.dataLim.ymin, ax.dataLim.ymax), (0.4, 0.6))
np.testing.assert_allclose((ax.dataLim.ymin, ax.dataLim.ymax), (data_ymin, data_ymax))

Otherwise data_ymin, data_ymax are unused and should be removed.

@rcomer
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rcomer commented Jul 19, 2025

I should have looked at the CI before I looked at the code 🤦‍♀️

@rcomer
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rcomer commented Jul 19, 2025

This breaks scatter because its PathCollection's transform is the IdentityTransform and the data information goes via the offset transform.

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[Bug]: fill_between with get_xaxis_transform increases y-limits
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