/usr/lib/python3/dist-packages/matplotlib/tests/test_table.py is in python3-matplotlib 2.0.0+dfsg1-2.
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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 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.testing.decorators import image_comparison, cleanup
from matplotlib.table import CustomCell
from matplotlib.path import Path
from nose.tools import assert_equal
@cleanup
def test_non_square():
# Check that creating a non-square table works
cellcolors = ['b', 'r']
plt.table(cellColours=cellcolors)
@image_comparison(baseline_images=['table_zorder'],
extensions=['png'],
remove_text=True)
def test_zorder():
data = [[66386, 174296],
[58230, 381139]]
colLabels = ('Freeze', 'Wind')
rowLabels = ['%d year' % x for x in (100, 50)]
cellText = []
yoff = np.array([0.0] * len(colLabels))
for row in reversed(data):
yoff += row
cellText.append(['%1.1f' % (x/1000.0) for x in yoff])
t = np.linspace(0, 2*np.pi, 100)
plt.plot(t, np.cos(t), lw=4, zorder=2)
plt.table(cellText=cellText,
rowLabels=rowLabels,
colLabels=colLabels,
loc='center',
zorder=-2,
)
plt.table(cellText=cellText,
rowLabels=rowLabels,
colLabels=colLabels,
loc='upper center',
zorder=4,
)
plt.yticks([])
@image_comparison(baseline_images=['table_labels'],
extensions=['png'])
def test_label_colours():
dim = 3
c = np.linspace(0, 1, dim)
colours = plt.cm.RdYlGn(c)
cellText = [['1'] * dim] * dim
fig = plt.figure()
ax1 = fig.add_subplot(4, 1, 1)
ax1.axis('off')
ax1.table(cellText=cellText,
rowColours=colours,
loc='best')
ax2 = fig.add_subplot(4, 1, 2)
ax2.axis('off')
ax2.table(cellText=cellText,
rowColours=colours,
rowLabels=['Header'] * dim,
loc='best')
ax3 = fig.add_subplot(4, 1, 3)
ax3.axis('off')
ax3.table(cellText=cellText,
colColours=colours,
loc='best')
ax4 = fig.add_subplot(4, 1, 4)
ax4.axis('off')
ax4.table(cellText=cellText,
colColours=colours,
colLabels=['Header'] * dim,
loc='best')
@image_comparison(baseline_images=['table_cell_manipulation'],
extensions=['png'], remove_text=True)
def test_diff_cell_table():
cells = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
cellText = [['1'] * len(cells)] * 2
colWidths = [0.1] * len(cells)
_, axes = plt.subplots(nrows=len(cells), figsize=(4, len(cells)+1))
for ax, cell in zip(axes, cells):
ax.table(
colWidths=colWidths,
cellText=cellText,
loc='center',
edges=cell,
)
ax.axis('off')
plt.tight_layout()
def test_customcell():
types = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
codes = (
(Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
(Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO),
(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
(Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY),
(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
(Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO),
(Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO),
)
for t, c in zip(types, codes):
cell = CustomCell((0, 0), visible_edges=t, width=1, height=1)
code = tuple(s for _, s in cell.get_path().iter_segments())
assert_equal(c, code)
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