forked from CamDavidsonPilon/matplotlib
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtest_table.py
More file actions
179 lines (149 loc) · 5.38 KB
/
test_table.py
File metadata and controls
179 lines (149 loc) · 5.38 KB
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
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
from matplotlib.table import CustomCell
from matplotlib.path import Path
from nose.tools import assert_equal
@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)
@image_comparison(baseline_images=['table_auto_column'],
extensions=['png'])
def test_auto_column():
fig = plt.figure()
#iteratble list input
ax1 = fig.add_subplot(4, 1, 1)
ax1.axis('off')
tb1 = ax1.table(cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb1.auto_set_font_size(False)
tb1.set_fontsize(12)
tb1.auto_set_column_width([-1, 0, 1])
#iteratble tuple input
ax2 = fig.add_subplot(4, 1, 2)
ax2.axis('off')
tb2 = ax2.table(cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb2.auto_set_font_size(False)
tb2.set_fontsize(12)
tb2.auto_set_column_width((-1, 0, 1))
#3 single inputs
ax3 = fig.add_subplot(4, 1, 3)
ax3.axis('off')
tb3 = ax3.table(cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb3.auto_set_font_size(False)
tb3.set_fontsize(12)
tb3.auto_set_column_width(-1)
tb3.auto_set_column_width(0)
tb3.auto_set_column_width(1)
#4 non integer interable input
ax4 = fig.add_subplot(4, 1, 4)
ax4.axis('off')
tb4 = ax4.table(cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb4.auto_set_font_size(False)
tb4.set_fontsize(12)
tb4.auto_set_column_width("-101")