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)