pyqtgraph/examples/HistogramLUT.py

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# -*- coding: utf-8 -*-
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"""
Use a HistogramLUTWidget to control the contrast / coloration of an image.
"""
## Add path to library (just for examples; you do not need this)
import initExample
import numpy as np
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from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
app = QtGui.QApplication([])
win = QtGui.QMainWindow()
win.resize(800,600)
win.show()
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win.setWindowTitle('pyqtgraph example: Histogram LUT')
cw = QtGui.QWidget()
win.setCentralWidget(cw)
l = QtGui.QGridLayout()
cw.setLayout(l)
l.setSpacing(0)
v = pg.GraphicsView()
vb = pg.ViewBox()
vb.setAspectLocked()
v.setCentralItem(vb)
l.addWidget(v, 0, 0)
w = pg.HistogramLUTWidget()
l.addWidget(w, 0, 1)
data = pg.gaussianFilter(np.random.normal(size=(256, 256)), (20, 20))
for i in range(32):
for j in range(32):
data[i*8, j*8] += .1
img = pg.ImageItem(data)
#data2 = np.zeros((2,) + data.shape + (2,))
#data2[0,:,:,0] = data ## make non-contiguous array for testing purposes
#img = pg.ImageItem(data2[0,:,:,0])
vb.addItem(img)
vb.autoRange()
w.setImageItem(img)
## Start Qt event loop unless running in interactive mode.
if __name__ == '__main__':
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()