/usr/lib/python3/dist-packages/matplotlib/tests/test_bbox_tight.py is in python3-matplotlib 1.5.1-1ubuntu1.
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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 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
from matplotlib.externals.six.moves import xrange
import numpy as np
from matplotlib import rcParams
from matplotlib.testing.decorators import image_comparison
import matplotlib.pyplot as plt
import matplotlib.path as mpath
import matplotlib.patches as mpatches
from matplotlib.ticker import FuncFormatter
@image_comparison(baseline_images=['bbox_inches_tight'], remove_text=True,
savefig_kwarg=dict(bbox_inches='tight'), tol=15)
def test_bbox_inches_tight():
#: Test that a figure saved using bbox_inches='tight' is clipped correctly
data = [[ 66386, 174296, 75131, 577908, 32015],
[ 58230, 381139, 78045, 99308, 160454],
[ 89135, 80552, 152558, 497981, 603535],
[ 78415, 81858, 150656, 193263, 69638],
[139361, 331509, 343164, 781380, 52269]]
colLabels = rowLabels = [''] * 5
rows = len(data)
ind = np.arange(len(colLabels)) + 0.3 # the x locations for the groups
cellText = []
width = 0.4 # the width of the bars
yoff = np.array([0.0] * len(colLabels))
# the bottom values for stacked bar chart
fig, ax = plt.subplots(1, 1)
for row in xrange(rows):
plt.bar(ind, data[row], width, bottom=yoff)
yoff = yoff + data[row]
cellText.append([''])
plt.xticks([])
plt.legend([''] * 5, loc=(1.2, 0.2))
# Add a table at the bottom of the axes
cellText.reverse()
the_table = plt.table(cellText=cellText,
rowLabels=rowLabels,
colLabels=colLabels, loc='bottom')
@image_comparison(baseline_images=['bbox_inches_tight_suptile_legend'],
remove_text=False, savefig_kwarg={'bbox_inches': 'tight'})
def test_bbox_inches_tight_suptile_legend():
plt.plot(list(xrange(10)), label='a straight line')
plt.legend(bbox_to_anchor=(0.9, 1), loc=2, )
plt.title('Axis title')
plt.suptitle('Figure title')
# put an extra long y tick on to see that the bbox is accounted for
def y_formatter(y, pos):
if int(y) == 4:
return 'The number 4'
else:
return str(y)
plt.gca().yaxis.set_major_formatter(FuncFormatter(y_formatter))
plt.xlabel('X axis')
@image_comparison(baseline_images=['bbox_inches_tight_clipping'],
remove_text=True, savefig_kwarg={'bbox_inches': 'tight'})
def test_bbox_inches_tight_clipping():
# tests bbox clipping on scatter points, and path clipping on a patch
# to generate an appropriately tight bbox
plt.scatter(list(xrange(10)), list(xrange(10)))
ax = plt.gca()
ax.set_xlim([0, 5])
ax.set_ylim([0, 5])
# make a massive rectangle and clip it with a path
patch = mpatches.Rectangle([-50, -50], 100, 100,
transform=ax.transData,
facecolor='blue', alpha=0.5)
path = mpath.Path.unit_regular_star(5).deepcopy()
path.vertices *= 0.25
patch.set_clip_path(path, transform=ax.transAxes)
plt.gcf().artists.append(patch)
@image_comparison(baseline_images=['bbox_inches_tight_raster'],
remove_text=True, savefig_kwarg={'bbox_inches': 'tight'})
def test_bbox_inches_tight_raster():
"""Test rasterization with tight_layout"""
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot([1.0, 2.0], rasterized=True)
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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