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PGF: Clip lines/markers to maximum LaTeX dimensions. #20410

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Jun 11, 2021
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12 changes: 9 additions & 3 deletions lib/matplotlib/backends/backend_pgf.py
Original file line number Diff line number Diff line change
Expand Up @@ -426,8 +426,12 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans,
fill=rgbFace is not None)
writeln(self.fh, r"}")

maxcoord = 16383 / 72.27 * self.dpi # Max dimensions in LaTeX.
clip = (-maxcoord, -maxcoord, maxcoord, maxcoord)

# draw marker for each vertex
for point, code in path.iter_segments(trans, simplify=False):
for point, code in path.iter_segments(trans, simplify=False,
clip=clip):
x, y = point[0] * f, point[1] * f
writeln(self.fh, r"\begin{pgfscope}")
writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (x, y))
Expand Down Expand Up @@ -564,11 +568,13 @@ def _print_pgf_path(self, gc, path, transform, rgbFace=None):
f = 1. / self.dpi
# check for clip box / ignore clip for filled paths
bbox = gc.get_clip_rectangle() if gc else None
maxcoord = 16383 / 72.27 * self.dpi # Max dimensions in LaTeX.
if bbox and (rgbFace is None):
p1, p2 = bbox.get_points()
clip = (p1[0], p1[1], p2[0], p2[1])
clip = (max(p1[0], -maxcoord), max(p1[1], -maxcoord),
min(p2[0], maxcoord), min(p2[1], maxcoord))
else:
clip = None
clip = (-maxcoord, -maxcoord, maxcoord, maxcoord)
# build path
for points, code in path.iter_segments(transform, clip=clip):
if code == Path.MOVETO:
Expand Down
16 changes: 12 additions & 4 deletions lib/matplotlib/tests/test_backend_pgf.py
Original file line number Diff line number Diff line change
Expand Up @@ -150,11 +150,19 @@ def test_rcupdate():
@pytest.mark.style('default')
@pytest.mark.backend('pgf')
def test_pathclip():
np.random.seed(19680801)
mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
plt.plot([0., 1e100], [0., 1e100])
plt.xlim(0, 1)
plt.ylim(0, 1)
plt.savefig(BytesIO(), format="pdf") # No image comparison.
fig, axs = plt.subplots(1, 2)

axs[0].plot([0., 1e100], [0., 1e100])
axs[0].set_xlim(0, 1)
axs[0].set_ylim(0, 1)

axs[1].scatter([0, 1], [1, 1])
axs[1].hist(np.random.normal(size=1000), bins=20, range=[-10, 10])
axs[1].set_xscale('log')

fig.savefig(BytesIO(), format="pdf") # No image comparison.


# test mixed mode rendering
Expand Down