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
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui
app = pg.mkQApp("Histogram Lookup Table Example")
win = QtGui.QMainWindow()
win.resize(880, 600)
win.show()
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win.setWindowTitle('pyqtgraph example: Histogram LUT')
cw = QtGui.QWidget()
win.setCentralWidget(cw)
layout = QtGui.QGridLayout()
cw.setLayout(layout)
layout.setSpacing(0)
view = pg.GraphicsView()
vb = pg.ViewBox()
vb.setAspectLocked()
view.setCentralItem(vb)
layout.addWidget(view, 0, 1, 3, 1)
hist = pg.HistogramLUTWidget(gradientPosition="left")
layout.addWidget(hist, 0, 2)
monoRadio = QtGui.QRadioButton('mono')
rgbaRadio = QtGui.QRadioButton('rgba')
layout.addWidget(monoRadio, 1, 2)
layout.addWidget(rgbaRadio, 2, 2)
monoRadio.setChecked(True)
def setLevelMode():
mode = 'mono' if monoRadio.isChecked() else 'rgba'
hist.setLevelMode(mode)
monoRadio.toggled.connect(setLevelMode)
data = pg.gaussianFilter(np.random.normal(size=(256, 256, 3)), (20, 20, 0))
for i in range(32):
for j in range(32):
data[i*8, j*8] += .1
img = pg.ImageItem(data)
vb.addItem(img)
vb.autoRange()
hist.setImageItem(img)
if __name__ == '__main__':
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pg.exec()