62 lines
1.5 KiB
Python
62 lines
1.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Demonstrate a simple data-slicing task: given 3D data (displayed at top), select
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a 2D plane and interpolate data along that plane to generate a slice image
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(displayed at bottom).
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"""
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## Add path to library (just for examples; you do not need this)
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import initExample
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import numpy as np
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from pyqtgraph.Qt import QtCore, QtGui
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import pyqtgraph as pg
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app = pg.mkQApp("Data Slicing Example")
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## Create window with two ImageView widgets
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win = QtGui.QMainWindow()
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win.resize(800,800)
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win.setWindowTitle('pyqtgraph example: DataSlicing')
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cw = QtGui.QWidget()
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win.setCentralWidget(cw)
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l = QtGui.QGridLayout()
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cw.setLayout(l)
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imv1 = pg.ImageView()
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imv2 = pg.ImageView()
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l.addWidget(imv1, 0, 0)
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l.addWidget(imv2, 1, 0)
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win.show()
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roi = pg.LineSegmentROI([[10, 64], [120,64]], pen='r')
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imv1.addItem(roi)
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x1 = np.linspace(-30, 10, 128)[:, np.newaxis, np.newaxis]
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x2 = np.linspace(-20, 20, 128)[:, np.newaxis, np.newaxis]
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y = np.linspace(-30, 10, 128)[np.newaxis, :, np.newaxis]
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z = np.linspace(-20, 20, 128)[np.newaxis, np.newaxis, :]
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d1 = np.sqrt(x1**2 + y**2 + z**2)
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d2 = 2*np.sqrt(x1[::-1]**2 + y**2 + z**2)
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d3 = 4*np.sqrt(x2**2 + y[:,::-1]**2 + z**2)
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data = (np.sin(d1) / d1**2) + (np.sin(d2) / d2**2) + (np.sin(d3) / d3**2)
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def update():
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global data, imv1, imv2
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d2 = roi.getArrayRegion(data, imv1.imageItem, axes=(1,2))
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imv2.setImage(d2)
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roi.sigRegionChanged.connect(update)
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## Display the data
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imv1.setImage(data)
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imv1.setHistogramRange(-0.01, 0.01)
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imv1.setLevels(-0.003, 0.003)
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update()
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if __name__ == '__main__':
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pg.exec()
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