LSR/env/lib/python3.6/site-packages/matplotlib/tests/test_backend_svg.py
2020-06-04 17:24:47 +02:00

208 lines
5.7 KiB
Python

import numpy as np
from io import BytesIO
import re
import tempfile
import xml.parsers.expat
import pytest
import matplotlib as mpl
from matplotlib import dviread
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import image_comparison
needs_usetex = pytest.mark.skipif(
not mpl.checkdep_usetex(True),
reason="This test needs a TeX installation")
def test_visibility():
fig, ax = plt.subplots()
x = np.linspace(0, 4 * np.pi, 50)
y = np.sin(x)
yerr = np.ones_like(y)
a, b, c = ax.errorbar(x, y, yerr=yerr, fmt='ko')
for artist in b:
artist.set_visible(False)
fd = BytesIO()
fig.savefig(fd, format='svg')
fd.seek(0)
buf = fd.read()
fd.close()
parser = xml.parsers.expat.ParserCreate()
parser.Parse(buf) # this will raise ExpatError if the svg is invalid
@image_comparison(['fill_black_with_alpha.svg'], remove_text=True)
def test_fill_black_with_alpha():
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x=[0, 0.1, 1], y=[0, 0, 0], c='k', alpha=0.1, s=10000)
@image_comparison(['noscale'], remove_text=True)
def test_noscale():
X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
Z = np.sin(Y ** 2)
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.imshow(Z, cmap='gray', interpolation='none')
def test_text_urls():
fig = plt.figure()
test_url = "http://test_text_urls.matplotlib.org"
fig.suptitle("test_text_urls", url=test_url)
fd = BytesIO()
fig.savefig(fd, format='svg')
fd.seek(0)
buf = fd.read().decode()
fd.close()
expected = '<a xlink:href="{0}">'.format(test_url)
assert expected in buf
@image_comparison(['bold_font_output.svg'])
def test_bold_font_output():
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(np.arange(10), np.arange(10))
ax.set_xlabel('nonbold-xlabel')
ax.set_ylabel('bold-ylabel', fontweight='bold')
ax.set_title('bold-title', fontweight='bold')
@image_comparison(['bold_font_output_with_none_fonttype.svg'])
def test_bold_font_output_with_none_fonttype():
plt.rcParams['svg.fonttype'] = 'none'
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(np.arange(10), np.arange(10))
ax.set_xlabel('nonbold-xlabel')
ax.set_ylabel('bold-ylabel', fontweight='bold')
ax.set_title('bold-title', fontweight='bold')
@needs_usetex
def test_missing_psfont(monkeypatch):
"""An error is raised if a TeX font lacks a Type-1 equivalent"""
def psfont(*args, **kwargs):
return dviread.PsFont(texname='texfont', psname='Some Font',
effects=None, encoding=None, filename=None)
monkeypatch.setattr(dviread.PsfontsMap, '__getitem__', psfont)
mpl.rc('text', usetex=True)
fig, ax = plt.subplots()
ax.text(0.5, 0.5, 'hello')
with tempfile.TemporaryFile() as tmpfile, pytest.raises(ValueError):
fig.savefig(tmpfile, format='svg')
# Use Computer Modern Sans Serif, not Helvetica (which has no \textwon).
@pytest.mark.style('default')
@needs_usetex
def test_unicode_won():
fig = Figure()
fig.text(.5, .5, r'\textwon', usetex=True)
with BytesIO() as fd:
fig.savefig(fd, format='svg')
buf = fd.getvalue().decode('ascii')
won_id = 'Computer_Modern_Sans_Serif-142'
assert re.search(r'<path d=(.|\s)*?id="{0}"/>'.format(won_id), buf)
assert re.search(r'<use[^/>]*? xlink:href="#{0}"/>'.format(won_id), buf)
def test_svgnone_with_data_coordinates():
plt.rcParams['svg.fonttype'] = 'none'
expected = 'Unlikely to appear by chance'
fig, ax = plt.subplots()
ax.text(np.datetime64('2019-06-30'), 1, expected)
ax.set_xlim(np.datetime64('2019-01-01'), np.datetime64('2019-12-31'))
ax.set_ylim(0, 2)
with BytesIO() as fd:
fig.savefig(fd, format='svg')
fd.seek(0)
buf = fd.read().decode()
assert expected in buf
def test_gid():
"""Test that object gid appears in output svg."""
from matplotlib.offsetbox import OffsetBox
from matplotlib.axis import Tick
fig = plt.figure()
ax1 = fig.add_subplot(131)
ax1.imshow([[1., 2.], [2., 3.]], aspect="auto")
ax1.scatter([1, 2, 3], [1, 2, 3], label="myscatter")
ax1.plot([2, 3, 1], label="myplot")
ax1.legend()
ax1a = ax1.twinx()
ax1a.bar([1, 2, 3], [1, 2, 3])
ax2 = fig.add_subplot(132, projection="polar")
ax2.plot([0, 1.5, 3], [1, 2, 3])
ax3 = fig.add_subplot(133, projection="3d")
ax3.plot([1, 2], [1, 2], [1, 2])
fig.canvas.draw()
gdic = {}
for idx, obj in enumerate(fig.findobj(include_self=True)):
if obj.get_visible():
gid = f"test123{obj.__class__.__name__}_{idx}"
gdic[gid] = obj
obj.set_gid(gid)
fd = BytesIO()
fig.savefig(fd, format='svg')
fd.seek(0)
buf = fd.read().decode()
fd.close()
def include(gid, obj):
# we need to exclude certain objects which will not appear in the svg
if isinstance(obj, OffsetBox):
return False
if isinstance(obj, plt.Text):
if obj.get_text() == "":
return False
elif obj.axes is None:
return False
if isinstance(obj, plt.Line2D):
if np.array(obj.get_data()).shape == (2, 1):
return False
elif not hasattr(obj, "axes") or obj.axes is None:
return False
if isinstance(obj, Tick):
loc = obj.get_loc()
if loc == 0:
return False
vi = obj.get_view_interval()
if loc < min(vi) or loc > max(vi):
return False
return True
for gid, obj in gdic.items():
if include(gid, obj):
assert gid in buf