56 lines
1.3 KiB
Python
56 lines
1.3 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Use a HistogramLUTWidget to control the contrast / coloration of an image.
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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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import scipy.ndimage as ndi
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from pyqtgraph.Qt import QtGui, QtCore
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import pyqtgraph as pg
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app = QtGui.QApplication([])
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win = QtGui.QMainWindow()
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win.resize(800,600)
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win.show()
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win.setWindowTitle('pyqtgraph example: Histogram LUT')
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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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l.setSpacing(0)
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v = pg.GraphicsView()
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vb = pg.ViewBox()
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vb.setAspectLocked()
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v.setCentralItem(vb)
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l.addWidget(v, 0, 0)
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w = pg.HistogramLUTWidget()
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l.addWidget(w, 0, 1)
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data = ndi.gaussian_filter(np.random.normal(size=(256, 256)), (20, 20))
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for i in range(32):
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for j in range(32):
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data[i*8, j*8] += .1
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img = pg.ImageItem(data)
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#data2 = np.zeros((2,) + data.shape + (2,))
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#data2[0,:,:,0] = data ## make non-contiguous array for testing purposes
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#img = pg.ImageItem(data2[0,:,:,0])
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vb.addItem(img)
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vb.autoRange()
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w.setImageItem(img)
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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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