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
|
"""
Demonstrate a simple data-slicing task: given 3D data (displayed at top), select
a 2D plane and interpolate data along that plane to generate a slice image
(displayed at bottom).
"""
import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtWidgets
app = pg.mkQApp("Data Slicing Example")
## Create window with two ImageView widgets
win = QtWidgets.QMainWindow()
win.resize(800,800)
win.setWindowTitle('pyqtgraph example: DataSlicing')
cw = QtWidgets.QWidget()
win.setCentralWidget(cw)
l = QtWidgets.QGridLayout()
cw.setLayout(l)
imv1 = pg.ImageView()
imv2 = pg.ImageView()
l.addWidget(imv1, 0, 0)
l.addWidget(imv2, 1, 0)
win.show()
roi = pg.LineSegmentROI([[10, 64], [120,64]], pen='r')
imv1.addItem(roi)
x1 = np.linspace(-30, 10, 128)[:, np.newaxis, np.newaxis]
x2 = np.linspace(-20, 20, 128)[:, np.newaxis, np.newaxis]
y = np.linspace(-30, 10, 128)[np.newaxis, :, np.newaxis]
z = np.linspace(-20, 20, 128)[np.newaxis, np.newaxis, :]
d1 = np.sqrt(x1**2 + y**2 + z**2)
d2 = 2*np.sqrt(x1[::-1]**2 + y**2 + z**2)
d3 = 4*np.sqrt(x2**2 + y[:,::-1]**2 + z**2)
data = (np.sin(d1) / d1**2) + (np.sin(d2) / d2**2) + (np.sin(d3) / d3**2)
def update():
global data, imv1, imv2
d2 = roi.getArrayRegion(data, imv1.imageItem, axes=(1,2))
imv2.setImage(d2)
roi.sigRegionChanged.connect(update)
## Display the data
imv1.setImage(data)
imv1.setHistogramRange(-0.01, 0.01)
imv1.setLevels(-0.003, 0.003)
update()
if __name__ == '__main__':
pg.exec()
|
