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
|
import matplotlib.pyplot as plt
from demo_image import get_demo_image
#import mpl_toolkits.imaging.axes_grid as imaging
def demo_simple_image(ax):
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent, interpolation="nearest")
cb = plt.colorbar(im)
plt.setp(cb.ax.get_yticklabels(), visible=False)
def demo_locatable_axes_hard(fig1):
from mpl_toolkits.axes_grid \
import SubplotDivider, LocatableAxes, Size
divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
# axes for image
ax = LocatableAxes(fig1, divider.get_position())
# axes for coloarbar
ax_cb = LocatableAxes(fig1, divider.get_position())
h = [Size.AxesX(ax), # main axes
Size.Fixed(0.05), # padding, 0.1 inch
Size.Fixed(0.2), # colorbar, 0.3 inch
]
v = [Size.AxesY(ax)]
divider.set_horizontal(h)
divider.set_vertical(v)
ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
fig1.add_axes(ax)
fig1.add_axes(ax_cb)
ax_cb.axis["left"].toggle(all=False)
ax_cb.axis["right"].toggle(ticks=True)
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent, interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
plt.setp(ax_cb.get_yticklabels(), visible=False)
def demo_locatable_axes_easy(ax):
from mpl_toolkits.axes_grid import make_axes_locatable
divider = make_axes_locatable(ax)
ax_cb = divider.new_horizontal(size="5%", pad=0.05)
fig1 = ax.get_figure()
fig1.add_axes(ax_cb)
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent, interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
ax_cb.yaxis.tick_right()
for tl in ax_cb.get_yticklabels():
tl.set_visible(False)
ax_cb.yaxis.tick_right()
def demo_images_side_by_sied(ax):
from mpl_toolkits.axes_grid import make_axes_locatable
divider = make_axes_locatable(ax)
Z, extent = get_demo_image()
ax2 = divider.new_horizontal(size="100%", pad=0.05)
fig1 = ax.get_figure()
fig1.add_axes(ax2)
ax.imshow(Z, extent=extent, interpolation="nearest")
ax2.imshow(Z, extent=extent, interpolation="nearest")
for tl in ax2.get_yticklabels():
tl.set_visible(False)
def demo():
fig1 = plt.figure(1, (6, 6))
fig1.clf()
## PLOT 1
# simple image & colorbar
ax = fig1.add_subplot(2, 2, 1)
demo_simple_image(ax)
## PLOT 2
# image and colorbar whose location is adjusted in the drawing time.
# a hard way
demo_locatable_axes_hard(fig1)
## PLOT 3
# image and colorbar whose location is adjusted in the drawing time.
# a easy way
ax = fig1.add_subplot(2, 2, 3)
demo_locatable_axes_easy(ax)
## PLOT 4
# two images side by sied with fixed padding.
ax = fig1.add_subplot(2, 2, 4)
demo_images_side_by_sied(ax)
plt.draw()
plt.show()
if __name__ == "__main__":
demo()
|
