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
|
# -*- coding: utf-8 -*-
# vispy: testskip
# -----------------------------------------------------------------------------
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------
"""
Compare an optimal plot grid implementation to the same functionality
provided by scenegraph.
Use --vispy-cprofile to see an overview of time spent in all functions.
Use util.profiler and --vispy-profile=ClassName.method_name for more directed
profiling measurements.
"""
from __future__ import division
import numpy as np
from vispy import gloo, app, scene, visuals
from vispy.util.profiler import Profiler
class GridCanvas(app.Canvas):
def __init__(self, cells, **kwargs):
m, n = (10, 10)
self.grid_size = (m, n)
self.cells = cells
super(GridCanvas, self).__init__(keys='interactive',
show=True, **kwargs)
def on_initialize(self, event):
self.context.set_state(clear_color='black', blend=True,
blend_func=('src_alpha', 'one_minus_src_alpha'))
def on_mouse_move(self, event):
if event.is_dragging and not event.modifiers:
dx = (event.pos - event.last_event.pos) * [1, -1]
i, j = event.press_event.pos / self.size
m, n = len(self.cells), len(self.cells[0])
cell = self.cells[int(i*m)][n - 1 - int(j*n)]
if event.press_event.button == 1:
offset = (np.array(cell.offset) +
(dx / (np.array(self.size) / [m, n])) *
(2 / np.array(cell.scale)))
cell.set_transform(offset, cell.scale)
else:
cell.set_transform(cell.offset, cell.scale * 1.05 ** dx)
self.update()
def on_draw(self, event):
prof = Profiler() # noqa
self.context.clear()
M = len(self.cells)
N = len(self.cells[0])
w, h = self.size
for i in range(M):
for j in range(N):
self.context.set_viewport(w*i/M, h*j/N, w/M, h/N)
self.cells[i][j].draw()
vert = """
attribute vec2 pos;
uniform vec2 offset;
uniform vec2 scale;
void main() {
gl_Position = vec4((pos + offset) * scale, 0, 1);
}
"""
frag = """
void main() {
gl_FragColor = vec4(1, 1, 1, 0.5);
}
"""
class Line(object):
def __init__(self, data, offset, scale):
self.data = gloo.VertexBuffer(data)
self.program = gloo.Program(vert, frag)
self.program['pos'] = self.data
self.set_transform(offset, scale)
def set_transform(self, offset, scale):
self.offset = offset
self.scale = scale
self.program['offset'] = self.offset
self.program['scale'] = self.scale
def draw(self):
self.program.draw('line_strip')
scales = np.array((1.9 / 100., 2. / 10.))
class VisualCanvas(app.Canvas):
def __init__(self, vis, **kwargs):
super(VisualCanvas, self).__init__(keys='interactive',
show=True, **kwargs)
m, n = (10, 10)
self.grid_size = (m, n)
self.visuals = vis
def on_initialize(self, event):
self.context.set_state(clear_color='black', blend=True,
blend_func=('src_alpha', 'one_minus_src_alpha'))
def on_mouse_move(self, event):
if event.is_dragging and not event.modifiers:
dx = np.array(event.pos - event.last_event.pos)
x, y = event.press_event.pos / self.size
m, n = self.grid_size
i, j = int(x*m), n - 1 - int(y*n)
v = self.visuals[i][j]
tr = v.transform
if event.press_event.button == 1:
tr.translate = np.array(tr.translate)[:2] + \
dx * scales * (1, -1)
else:
tr.scale = tr.scale[:2] * 1.05 ** (dx * (1, -1))
self.update()
def on_draw(self, event):
prof = Profiler() # noqa
self.context.clear()
M, N = self.grid_size
w, h = self.size
for i in range(M):
for j in range(N):
self.context.set_viewport(w*i/M, h*j/N, w/M, h/N)
self.visuals[i][j].draw()
if __name__ == '__main__':
M, N = (10, 10)
data = np.empty((10000, 2), dtype=np.float32)
data[:, 0] = np.linspace(0, 100, data.shape[0])
data[:, 1] = np.random.normal(size=data.shape[0])
# Optimized version
cells = []
for i in range(M):
row = []
cells.append(row)
for j in range(N):
row.append(Line(data, offset=(-50, 0), scale=scales))
gcanvas = GridCanvas(cells, position=(400, 300), size=(800, 600),
title="GridCanvas")
# Visual version
vlines = []
for i in range(M):
row = []
vlines.append(row)
for j in range(N):
v = visuals.LineVisual(pos=data, color='w', method='gl')
v.transform = visuals.transforms.STTransform(
translate=(-1, 0), scale=scales)
row.append(v)
vcanvas = VisualCanvas(vlines, position=(400, 300), size=(800, 600),
title="VisualCanvas")
# Scenegraph version
scanvas = scene.SceneCanvas(show=True, keys='interactive',
title="SceneCanvas")
scanvas.size = 800, 600
grid = scanvas.central_widget.add_grid(margin=0)
lines = []
for i in range(10):
lines.append([])
for j in range(10):
vb = grid.add_view(camera='panzoom', row=i, col=j)
vb.camera.set_range([0, 100], [-5, 5], margin=0)
line = scene.visuals.Line(pos=data, color='w', method='gl')
vb.add(line)
scanvas.show()
import sys
if sys.flags.interactive != 1:
app.run()
|
