63 lines
1.3 KiB
Python
63 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 pyqtgraph as pg
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from pyqtgraph.Qt import QtGui
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app = pg.mkQApp("Histogram Lookup Table Example")
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win = QtGui.QMainWindow()
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win.resize(880, 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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layout = QtGui.QGridLayout()
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cw.setLayout(layout)
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layout.setSpacing(0)
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view = pg.GraphicsView()
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vb = pg.ViewBox()
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vb.setAspectLocked()
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view.setCentralItem(vb)
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layout.addWidget(view, 0, 1, 3, 1)
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hist = pg.HistogramLUTWidget(gradientPosition="left")
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layout.addWidget(hist, 0, 2)
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monoRadio = QtGui.QRadioButton('mono')
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rgbaRadio = QtGui.QRadioButton('rgba')
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layout.addWidget(monoRadio, 1, 2)
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layout.addWidget(rgbaRadio, 2, 2)
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monoRadio.setChecked(True)
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def setLevelMode():
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mode = 'mono' if monoRadio.isChecked() else 'rgba'
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hist.setLevelMode(mode)
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monoRadio.toggled.connect(setLevelMode)
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data = pg.gaussianFilter(np.random.normal(size=(256, 256, 3)), (20, 20, 0))
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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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vb.addItem(img)
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vb.autoRange()
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hist.setImageItem(img)
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if __name__ == '__main__':
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pg.exec()
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