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import io
import warnings
import numpy as np
from numpy.testing import assert_almost_equal
import pytest
import matplotlib
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import image_comparison
with warnings.catch_warnings():
warnings.simplefilter('ignore')
needs_usetex = pytest.mark.skipif(
not matplotlib.checkdep_usetex(True),
reason="This test needs a TeX installation")
@image_comparison(baseline_images=['font_styles'])
def test_font_styles():
from matplotlib import _get_data_path
data_path = _get_data_path()
def find_matplotlib_font(**kw):
prop = FontProperties(**kw)
path = findfont(prop, directory=data_path)
return FontProperties(fname=path)
from matplotlib.font_manager import FontProperties, findfont
warnings.filterwarnings(
'ignore',
r"findfont: Font family \[u?'Foo'\] not found. Falling back to .",
UserWarning,
module='matplotlib.font_manager')
plt.figure()
ax = plt.subplot(1, 1, 1)
normalFont = find_matplotlib_font(
family="sans-serif",
style="normal",
variant="normal",
size=14)
ax.annotate(
"Normal Font",
(0.1, 0.1),
xycoords='axes fraction',
fontproperties=normalFont)
boldFont = find_matplotlib_font(
family="Foo",
style="normal",
variant="normal",
weight="bold",
stretch=500,
size=14)
ax.annotate(
"Bold Font",
(0.1, 0.2),
xycoords='axes fraction',
fontproperties=boldFont)
boldItemFont = find_matplotlib_font(
family="sans serif",
style="italic",
variant="normal",
weight=750,
stretch=500,
size=14)
ax.annotate(
"Bold Italic Font",
(0.1, 0.3),
xycoords='axes fraction',
fontproperties=boldItemFont)
lightFont = find_matplotlib_font(
family="sans-serif",
style="normal",
variant="normal",
weight=200,
stretch=500,
size=14)
ax.annotate(
"Light Font",
(0.1, 0.4),
xycoords='axes fraction',
fontproperties=lightFont)
condensedFont = find_matplotlib_font(
family="sans-serif",
style="normal",
variant="normal",
weight=500,
stretch=100,
size=14)
ax.annotate(
"Condensed Font",
(0.1, 0.5),
xycoords='axes fraction',
fontproperties=condensedFont)
ax.set_xticks([])
ax.set_yticks([])
@image_comparison(baseline_images=['multiline'])
def test_multiline():
plt.figure()
ax = plt.subplot(1, 1, 1)
ax.set_title("multiline\ntext alignment")
plt.text(
0.2, 0.5, "TpTpTp\n$M$\nTpTpTp", size=20, ha="center", va="top")
plt.text(
0.5, 0.5, "TpTpTp\n$M^{M^{M^{M}}}$\nTpTpTp", size=20,
ha="center", va="top")
plt.text(
0.8, 0.5, "TpTpTp\n$M_{q_{q_{q}}}$\nTpTpTp", size=20,
ha="center", va="top")
plt.xlim(0, 1)
plt.ylim(0, 0.8)
ax.set_xticks([])
ax.set_yticks([])
@image_comparison(baseline_images=['multiline2'], style='mpl20')
def test_multiline2():
fig, ax = plt.subplots()
ax.set_xlim([0, 1.4])
ax.set_ylim([0, 2])
ax.axhline(0.5, color='C2', linewidth=0.3)
sts = ['Line', '2 Lineg\n 2 Lg', '$\\sum_i x $', 'hi $\\sum_i x $\ntest',
'test\n $\\sum_i x $', '$\\sum_i x $\n $\\sum_i x $']
renderer = fig.canvas.get_renderer()
def draw_box(ax, tt):
bb = tt.get_window_extent(renderer)
bbt = bb.inverse_transformed(ax.transAxes)
r = mpatches.Rectangle((0, 0), 1, 1, clip_on=False,
transform=ax.transAxes)
r.set_bounds(bbt.bounds)
ax.add_patch(r)
horal = 'left'
for nn, st in enumerate(sts):
tt = ax.text(0.2 * nn + 0.1, 0.5, st, horizontalalignment=horal,
verticalalignment='bottom')
draw_box(ax, tt)
ax.text(1.2, 0.5, 'Bottom align', color='C2')
ax.axhline(1.3, color='C2', linewidth=0.3)
for nn, st in enumerate(sts):
tt = ax.text(0.2 * nn + 0.1, 1.3, st, horizontalalignment=horal,
verticalalignment='top')
draw_box(ax, tt)
ax.text(1.2, 1.3, 'Top align', color='C2')
ax.axhline(1.8, color='C2', linewidth=0.3)
for nn, st in enumerate(sts):
tt = ax.text(0.2 * nn + 0.1, 1.8, st, horizontalalignment=horal,
verticalalignment='baseline')
draw_box(ax, tt)
ax.text(1.2, 1.8, 'Baseline align', color='C2')
ax.axhline(0.1, color='C2', linewidth=0.3)
for nn, st in enumerate(sts):
tt = ax.text(0.2 * nn + 0.1, 0.1, st, horizontalalignment=horal,
verticalalignment='bottom', rotation=20)
draw_box(ax, tt)
ax.text(1.2, 0.1, 'Bot align, rot20', color='C2')
@image_comparison(baseline_images=['antialiased'], extensions=['png'])
def test_antialiasing():
matplotlib.rcParams['text.antialiased'] = True
fig = plt.figure(figsize=(5.25, 0.75))
fig.text(0.5, 0.75, "antialiased", horizontalalignment='center',
verticalalignment='center')
fig.text(0.5, 0.25, r"$\sqrt{x}$", horizontalalignment='center',
verticalalignment='center')
# NOTE: We don't need to restore the rcParams here, because the
# test cleanup will do it for us. In fact, if we do it here, it
# will turn antialiasing back off before the images are actually
# rendered.
def test_afm_kerning():
from matplotlib.afm import AFM
from matplotlib.font_manager import findfont
fn = findfont("Helvetica", fontext="afm")
with open(fn, 'rb') as fh:
afm = AFM(fh)
assert afm.string_width_height('VAVAVAVAVAVA') == (7174.0, 718)
@image_comparison(baseline_images=['text_contains'], extensions=['png'])
def test_contains():
import matplotlib.backend_bases as mbackend
fig = plt.figure()
ax = plt.axes()
mevent = mbackend.MouseEvent(
'button_press_event', fig.canvas, 0.5, 0.5, 1, None)
xs = np.linspace(0.25, 0.75, 30)
ys = np.linspace(0.25, 0.75, 30)
xs, ys = np.meshgrid(xs, ys)
txt = plt.text(
0.5, 0.4, 'hello world', ha='center', fontsize=30, rotation=30)
# uncomment to draw the text's bounding box
# txt.set_bbox(dict(edgecolor='black', facecolor='none'))
# draw the text. This is important, as the contains method can only work
# when a renderer exists.
fig.canvas.draw()
for x, y in zip(xs.flat, ys.flat):
mevent.x, mevent.y = plt.gca().transAxes.transform_point([x, y])
contains, _ = txt.contains(mevent)
color = 'yellow' if contains else 'red'
# capture the viewLim, plot a point, and reset the viewLim
vl = ax.viewLim.frozen()
ax.plot(x, y, 'o', color=color)
ax.viewLim.set(vl)
@image_comparison(baseline_images=['titles'])
def test_titles():
# left and right side titles
plt.figure()
ax = plt.subplot(1, 1, 1)
ax.set_title("left title", loc="left")
ax.set_title("right title", loc="right")
ax.set_xticks([])
ax.set_yticks([])
@image_comparison(baseline_images=['text_alignment'], style='mpl20')
def test_alignment():
plt.figure()
ax = plt.subplot(1, 1, 1)
x = 0.1
for rotation in (0, 30):
for alignment in ('top', 'bottom', 'baseline', 'center'):
ax.text(
x, 0.5, alignment + " Tj", va=alignment, rotation=rotation,
bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.5))
ax.text(
x, 1.0, r'$\sum_{i=0}^{j}$', va=alignment, rotation=rotation)
x += 0.1
ax.plot([0, 1], [0.5, 0.5])
ax.plot([0, 1], [1.0, 1.0])
ax.set_xlim([0, 1])
ax.set_ylim([0, 1.5])
ax.set_xticks([])
ax.set_yticks([])
@image_comparison(baseline_images=['axes_titles'], extensions=['png'])
def test_axes_titles():
# Related to issue #3327
plt.figure()
ax = plt.subplot(1, 1, 1)
ax.set_title('center', loc='center', fontsize=20, fontweight=700)
ax.set_title('left', loc='left', fontsize=12, fontweight=400)
ax.set_title('right', loc='right', fontsize=12, fontweight=400)
def test_set_position():
fig, ax = plt.subplots()
# test set_position
ann = ax.annotate(
'test', (0, 0), xytext=(0, 0), textcoords='figure pixels')
fig.canvas.draw()
init_pos = ann.get_window_extent(fig.canvas.renderer)
shift_val = 15
ann.set_position((shift_val, shift_val))
fig.canvas.draw()
post_pos = ann.get_window_extent(fig.canvas.renderer)
for a, b in zip(init_pos.min, post_pos.min):
assert a + shift_val == b
# test xyann
ann = ax.annotate(
'test', (0, 0), xytext=(0, 0), textcoords='figure pixels')
fig.canvas.draw()
init_pos = ann.get_window_extent(fig.canvas.renderer)
shift_val = 15
ann.xyann = (shift_val, shift_val)
fig.canvas.draw()
post_pos = ann.get_window_extent(fig.canvas.renderer)
for a, b in zip(init_pos.min, post_pos.min):
assert a + shift_val == b
def test_get_rotation_string():
from matplotlib import text
assert text.get_rotation('horizontal') == 0.
assert text.get_rotation('vertical') == 90.
assert text.get_rotation('15.') == 15.
def test_get_rotation_float():
from matplotlib import text
for i in [15., 16.70, 77.4]:
assert text.get_rotation(i) == i
def test_get_rotation_int():
from matplotlib import text
for i in [67, 16, 41]:
assert text.get_rotation(i) == float(i)
def test_get_rotation_raises():
from matplotlib import text
with pytest.raises(ValueError):
text.get_rotation('hozirontal')
def test_get_rotation_none():
from matplotlib import text
assert text.get_rotation(None) == 0.0
def test_get_rotation_mod360():
from matplotlib import text
for i, j in zip([360., 377., 720+177.2], [0., 17., 177.2]):
assert_almost_equal(text.get_rotation(i), j)
@pytest.mark.parametrize("ha", ["center", "right", "left"])
@pytest.mark.parametrize("va", ["center", "top", "bottom",
"baseline", "center_baseline"])
def test_null_rotation_with_rotation_mode(ha, va):
fig, ax = plt.subplots()
kw = dict(rotation=0, va=va, ha=ha)
t0 = ax.text(.5, .5, 'test', rotation_mode='anchor', **kw)
t1 = ax.text(.5, .5, 'test', rotation_mode='default', **kw)
fig.canvas.draw()
assert_almost_equal(t0.get_window_extent(fig.canvas.renderer).get_points(),
t1.get_window_extent(fig.canvas.renderer).get_points())
@image_comparison(baseline_images=['text_bboxclip'])
def test_bbox_clipping():
plt.text(0.9, 0.2, 'Is bbox clipped?', backgroundcolor='r', clip_on=True)
t = plt.text(0.9, 0.5, 'Is fancy bbox clipped?', clip_on=True)
t.set_bbox({"boxstyle": "round, pad=0.1"})
@image_comparison(baseline_images=['annotation_negative_ax_coords'],
extensions=['png'])
def test_annotation_negative_ax_coords():
fig, ax = plt.subplots()
ax.annotate('+ pts',
xytext=[30, 20], textcoords='axes points',
xy=[30, 20], xycoords='axes points', fontsize=32)
ax.annotate('- pts',
xytext=[30, -20], textcoords='axes points',
xy=[30, -20], xycoords='axes points', fontsize=32,
va='top')
ax.annotate('+ frac',
xytext=[0.75, 0.05], textcoords='axes fraction',
xy=[0.75, 0.05], xycoords='axes fraction', fontsize=32)
ax.annotate('- frac',
xytext=[0.75, -0.05], textcoords='axes fraction',
xy=[0.75, -0.05], xycoords='axes fraction', fontsize=32,
va='top')
ax.annotate('+ pixels',
xytext=[160, 25], textcoords='axes pixels',
xy=[160, 25], xycoords='axes pixels', fontsize=32)
ax.annotate('- pixels',
xytext=[160, -25], textcoords='axes pixels',
xy=[160, -25], xycoords='axes pixels', fontsize=32,
va='top')
@image_comparison(baseline_images=['annotation_negative_fig_coords'],
extensions=['png'])
def test_annotation_negative_fig_coords():
fig, ax = plt.subplots()
ax.annotate('+ pts',
xytext=[10, 120], textcoords='figure points',
xy=[10, 120], xycoords='figure points', fontsize=32)
ax.annotate('- pts',
xytext=[-10, 180], textcoords='figure points',
xy=[-10, 180], xycoords='figure points', fontsize=32,
va='top')
ax.annotate('+ frac',
xytext=[0.05, 0.55], textcoords='figure fraction',
xy=[0.05, 0.55], xycoords='figure fraction', fontsize=32)
ax.annotate('- frac',
xytext=[-0.05, 0.5], textcoords='figure fraction',
xy=[-0.05, 0.5], xycoords='figure fraction', fontsize=32,
va='top')
ax.annotate('+ pixels',
xytext=[50, 50], textcoords='figure pixels',
xy=[50, 50], xycoords='figure pixels', fontsize=32)
ax.annotate('- pixels',
xytext=[-50, 100], textcoords='figure pixels',
xy=[-50, 100], xycoords='figure pixels', fontsize=32,
va='top')
def test_text_stale():
fig, (ax1, ax2) = plt.subplots(1, 2)
plt.draw_all()
assert not ax1.stale
assert not ax2.stale
assert not fig.stale
txt1 = ax1.text(.5, .5, 'aardvark')
assert ax1.stale
assert txt1.stale
assert fig.stale
ann1 = ax2.annotate('aardvark', xy=[.5, .5])
assert ax2.stale
assert ann1.stale
assert fig.stale
plt.draw_all()
assert not ax1.stale
assert not ax2.stale
assert not fig.stale
@image_comparison(baseline_images=['agg_text_clip'],
extensions=['png'])
def test_agg_text_clip():
np.random.seed(1)
fig, (ax1, ax2) = plt.subplots(2)
for x, y in np.random.rand(10, 2):
ax1.text(x, y, "foo", clip_on=True)
ax2.text(x, y, "foo")
def test_text_size_binding():
from matplotlib.font_manager import FontProperties
matplotlib.rcParams['font.size'] = 10
fp = FontProperties(size='large')
sz1 = fp.get_size_in_points()
matplotlib.rcParams['font.size'] = 100
assert sz1 == fp.get_size_in_points()
@image_comparison(baseline_images=['font_scaling'],
extensions=['pdf'])
def test_font_scaling():
matplotlib.rcParams['pdf.fonttype'] = 42
fig, ax = plt.subplots(figsize=(6.4, 12.4))
ax.xaxis.set_major_locator(plt.NullLocator())
ax.yaxis.set_major_locator(plt.NullLocator())
ax.set_ylim(-10, 600)
for i, fs in enumerate(range(4, 43, 2)):
ax.text(0.1, i*30, "{fs} pt font size".format(fs=fs), fontsize=fs)
@pytest.mark.parametrize('spacing1, spacing2', [(0.4, 2), (2, 0.4), (2, 2)])
def test_two_2line_texts(spacing1, spacing2):
text_string = 'line1\nline2'
fig = plt.figure()
renderer = fig.canvas.get_renderer()
text1 = plt.text(0.25, 0.5, text_string, linespacing=spacing1)
text2 = plt.text(0.25, 0.5, text_string, linespacing=spacing2)
fig.canvas.draw()
box1 = text1.get_window_extent(renderer=renderer)
box2 = text2.get_window_extent(renderer=renderer)
# line spacing only affects height
assert box1.width == box2.width
if spacing1 == spacing2:
assert box1.height == box2.height
else:
assert box1.height != box2.height
def test_nonfinite_pos():
fig, ax = plt.subplots()
ax.text(0, np.nan, 'nan')
ax.text(np.inf, 0, 'inf')
fig.canvas.draw()
def test_hinting_factor_backends():
plt.rcParams['text.hinting_factor'] = 1
fig = plt.figure()
t = fig.text(0.5, 0.5, 'some text')
fig.savefig(io.BytesIO(), format='svg')
expected = t.get_window_extent().intervalx
fig.savefig(io.BytesIO(), format='png')
# Backends should apply hinting_factor consistently (within 10%).
np.testing.assert_allclose(t.get_window_extent().intervalx, expected,
rtol=0.1)
@needs_usetex
def test_single_artist_usetex():
# Check that a single artist marked with usetex does not get passed through
# the mathtext parser at all (for the Agg backend) (the mathtext parser
# currently fails to parse \frac12, requiring \frac{1}{2} instead).
fig, ax = plt.subplots()
ax.text(.5, .5, r"$\frac12$", usetex=True)
fig.canvas.draw()
@image_comparison(baseline_images=['text_as_path_opacity'],
extensions=['svg'])
def test_text_as_path_opacity():
plt.figure()
plt.gca().set_axis_off()
plt.text(0.25, 0.25, 'c', color=(0, 0, 0, 0.5))
plt.text(0.25, 0.5, 'a', alpha=0.5)
plt.text(0.25, 0.75, 'x', alpha=0.5, color=(0, 0, 0, 1))
@image_comparison(baseline_images=['text_as_text_opacity'],
extensions=['svg'])
def test_text_as_text_opacity():
matplotlib.rcParams['svg.fonttype'] = 'none'
plt.figure()
plt.gca().set_axis_off()
plt.text(0.25, 0.25, '50% using `color`', color=(0, 0, 0, 0.5))
plt.text(0.25, 0.5, '50% using `alpha`', alpha=0.5)
plt.text(0.25, 0.75, '50% using `alpha` and 100% `color`', alpha=0.5,
color=(0, 0, 0, 1))
def test_text_repr():
# smoketest to make sure text repr doesn't error for category
plt.plot(['A', 'B'], [1, 2])
txt = plt.text(['A'], 0.5, 'Boo')
print(txt)
def test_annotation_update():
fig, ax = plt.subplots(1, 1)
an = ax.annotate('annotation', xy=(0.5, 0.5))
extent1 = an.get_window_extent(fig.canvas.get_renderer())
fig.tight_layout()
extent2 = an.get_window_extent(fig.canvas.get_renderer())
assert not np.allclose(extent1.get_points(), extent2.get_points(),
rtol=1e-6)
@image_comparison(baseline_images=['large_subscript_title'],
extensions=['png'], style='mpl20')
def test_large_subscript_title():
fig, axs = plt.subplots(1, 2, figsize=(9, 2.5), constrained_layout=True)
ax = axs[0]
ax.set_title(r'$\sum_{i} x_i$')
ax.set_title('New way', loc='left')
ax.set_xticklabels('')
ax = axs[1]
tt = ax.set_title(r'$\sum_{i} x_i$')
x, y = tt.get_position()
tt.set_position((x, 1.01))
ax.set_title('Old Way', loc='left')
ax.set_xticklabels('')