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Fix autoscaling with tiny sticky values. #17635

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Merged
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Jun 15, 2020
Merged

Fix autoscaling with tiny sticky values. #17635

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14 changes: 8 additions & 6 deletions lib/matplotlib/axes/_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2545,15 +2545,17 @@ def handle_single_axis(scale, autoscaleon, shared_axes, interval,
locator = axis.get_major_locator()
x0, x1 = locator.nonsingular(x0, x1)

# Prevent margin addition from crossing a sticky value. Small
# tolerances (whose values come from isclose()) must be used due to
# floating point issues with streamplot.
def tol(x): return 1e-5 * abs(x) + 1e-8
# 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
# 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))
# Index of largest element < x0 + tol, if any.
i0 = stickies.searchsorted(x0 + tol(x0)) - 1
i0 = stickies.searchsorted(x0 + tol) - 1
x0bound = stickies[i0] if i0 != -1 else None
# Index of smallest element > x1 - tol, if any.
i1 = stickies.searchsorted(x1 - tol(x1))
i1 = stickies.searchsorted(x1 - tol)
x1bound = stickies[i1] if i1 != len(stickies) else None

# Add the margin in figure space and then transform back, to handle
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8 changes: 8 additions & 0 deletions lib/matplotlib/tests/test_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6314,3 +6314,11 @@ def test_polar_interpolation_steps_variable_r(fig_test, fig_ref):
l.get_path()._interpolation_steps = 100
fig_ref.add_subplot(projection="polar").plot(
np.linspace(0, np.pi/2, 101), np.linspace(1, 2, 101))


@pytest.mark.style('default')
def test_autoscale_tiny_sticky():
fig, ax = plt.subplots()
ax.bar(0, 1e-9)
fig.canvas.draw()
assert ax.get_ylim() == (0, 1.05e-9)