56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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"""
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This example demonstrates the use of ImageView, which is a high-level widget for
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displaying and analyzing 2D and 3D data. ImageView provides:
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1. A zoomable region (ViewBox) for displaying the image
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2. A combination histogram and gradient editor (HistogramLUTItem) for
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controlling the visual appearance of the image
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3. A timeline for selecting the currently displayed frame (for 3D data only).
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4. Tools for very basic analysis of image data (see ROI and Norm buttons)
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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 = QtGui.QApplication([])
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## Create window with ImageView widget
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win = QtGui.QMainWindow()
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win.resize(800,800)
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imv = pg.ImageView()
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win.setCentralWidget(imv)
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win.show()
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win.setWindowTitle('pyqtgraph example: ImageView')
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## Create random 3D data set with noisy signals
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img = pg.gaussianFilter(np.random.normal(size=(200, 200)), (5, 5)) * 20 + 100
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img = img[np.newaxis,:,:]
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decay = np.exp(-np.linspace(0,0.3,100))[:,np.newaxis,np.newaxis]
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data = np.random.normal(size=(100, 200, 200))
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data += img * decay
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data += 2
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## Add time-varying signal
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sig = np.zeros(data.shape[0])
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sig[30:] += np.exp(-np.linspace(1,10, 70))
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sig[40:] += np.exp(-np.linspace(1,10, 60))
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sig[70:] += np.exp(-np.linspace(1,10, 30))
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sig = sig[:,np.newaxis,np.newaxis] * 3
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data[:,50:60,50:60] += sig
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## Display the data and assign each frame a time value from 1.0 to 3.0
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imv.setImage(data, xvals=np.linspace(1., 3., data.shape[0]))
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## Start Qt event loop unless running in interactive mode.
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if __name__ == '__main__':
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import sys
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if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
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QtGui.QApplication.instance().exec_()
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