def test_NonUniformImage_lut():
window = pg.GraphicsLayoutWidget()
viewbox = pg.ViewBox()
window.setCentralWidget(viewbox)
window.resize(200, 200)
window.show()
x = [1.0, 3.0, 10.0]
y = [1.0, 2.0, 4.0]
X, Y = np.meshgrid(x, y, indexing='ij')
Z = X * Y
image = NonUniformImage(x, y, Z, border=fn.mkPen('g'))
viewbox.addItem(image)
lut = pg.HistogramLUTItem()
window.addItem(lut)
image.setLookupTable(lut, autoLevel=True)
h = image.getHistogram()
lut.plot.setData(*h)
QtTest.QTest.qWaitForWindowExposed(window)
QtTest.QTest.qWait(100)
assertImageApproved(window, 'nonuniform_image/lut-3x3')
win.setWindowTitle('pyqtgraph example: Non-uniform Image')
p = cw.addPlot(title="Power Losses [W]", row=0, col=0)
lut = pg.HistogramLUTItem(orientation="horizontal")
p.setMouseEnabled(x=False, y=False)
cw.nextRow()
cw.addItem(lut)
# load the gradient
lut.gradient.loadPreset('gor')
image = NonUniformImage(w * RADS2RPM, tau, P_loss.T)
image.setLookupTable(lut, autoLevel=True)
image.setZValue(-1)
p.addItem(image)
h = image.getHistogram()
lut.plot.setData(*h)
p.showGrid(x=True, y=True)
p.setLabel(axis='bottom', text='Speed [rpm]')
p.setLabel(axis='left', text='Torque [Nm]')
# elevate the grid lines
p.axes['bottom']['item'].setZValue(1000)
p.axes['left']['item'].setZValue(1000)