/usr/lib/python3/dist-packages/matplotlib/tests/test_text.py is in python3-matplotlib 1.3.1-1ubuntu5.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 | import numpy as np
import matplotlib
from matplotlib.testing.decorators import image_comparison, knownfailureif, cleanup
import matplotlib.pyplot as plt
import warnings
from nose.tools import with_setup
@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','findfont: Font family \[\'Foo\'\] '+ \
'not found. Falling back to .',
UserWarning,
module='matplotlib.font_manager')
fig = 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():
fig = 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=['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, "$\sqrt{x}$", 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(0.48, 0.52, '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.
plt.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
fig = 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'])
def test_alignment():
fig = 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([])
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