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Backport PR #28582 on branch v3.9.x (FIX: make sticky edge tolerance relative to data range) #28586

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10 changes: 2 additions & 8 deletions lib/matplotlib/axes/_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -2962,22 +2962,16 @@ def handle_single_axis(

# Prevent margin addition from crossing a sticky value. A small
# tolerance must be added due to floating point issues with
# streamplot; it is defined relative to x0, x1, x1-x0 but has
# streamplot; it is defined relative to x1-x0 but has
# no absolute term (e.g. "+1e-8") to avoid issues when working with
# datasets where all values are tiny (less than 1e-8).
tol = 1e-5 * max(abs(x0), abs(x1), abs(x1 - x0))
tol = 1e-5 * abs(x1 - x0)
# 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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10 changes: 10 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -701,6 +701,16 @@ def test_sticky_tolerance():
axs.flat[3].barh(y=1, width=width, left=-20000.1)


@image_comparison(['sticky_tolerance_cf.png'], remove_text=True, style="mpl20")
def test_sticky_tolerance_contourf():
fig, ax = plt.subplots()

x = y = [14496.71, 14496.75]
data = [[0, 1], [2, 3]]

ax.contourf(x, y, data)


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