#!/usr/bin/env python # coding: utf-8 # /*########################################################################## # # Copyright (c) 2016-2018 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """This script is a simple example to illustrate how to use the :mod:`~silx.gui.plot.StackView` widget. """ import numpy import sys from silx.gui import qt from silx.gui.plot.StackView import StackViewMainWindow app = qt.QApplication(sys.argv[1:]) a, b, c = numpy.meshgrid(numpy.linspace(-10, 10, 200), numpy.linspace(-10, 5, 150), numpy.linspace(-5, 10, 120), indexing="ij") mystack = numpy.asarray(numpy.sin(a * b * c) / (a * b * c), dtype='float32') # linear calibrations (a, b), x -> a + bx dim0_calib = (-10., 20. / 200.) dim1_calib = (-10., 15. / 150.) dim2_calib = (-5., 15. / 120.) # sv = StackView() sv = StackViewMainWindow() sv.setColormap("jet", autoscale=True) sv.setStack(mystack, calibrations=[dim0_calib, dim1_calib, dim2_calib]) sv.setLabels(["dim0: -10 to 10 (200 samples)", "dim1: -10 to 5 (150 samples)", "dim2: -5 to 10 (120 samples)"]) sv.show() app.exec_()