# coding: utf-8 # /*########################################################################## # # Copyright (c) 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. # # ###########################################################################*/ """Basic tests for ScatterView""" __authors__ = ["T. Vincent"] __license__ = "MIT" __date__ = "06/03/2018" import unittest import numpy from silx.gui.plot.items import Axis, Scatter from silx.gui.plot import ScatterView from silx.gui.plot.test.utils import PlotWidgetTestCase class TestScatterView(PlotWidgetTestCase): """Test of ScatterView widget""" def _createPlot(self): return ScatterView() def test(self): """Simple tests""" x = numpy.arange(100) y = numpy.arange(100) value = numpy.arange(100) self.plot.setData(x, y, value) self.qapp.processEvents() data = self.plot.getData() self.assertEqual(len(data), 5) self.assertTrue(numpy.all(numpy.equal(x, data[0]))) self.assertTrue(numpy.all(numpy.equal(y, data[1]))) self.assertTrue(numpy.all(numpy.equal(value, data[2]))) self.assertIsNone(data[3]) # xerror self.assertIsNone(data[4]) # yerror # Test access to scatter item self.assertIsInstance(self.plot.getScatterItem(), Scatter) # Test toolbar actions action = self.plot.getScatterToolBar().getXAxisLogarithmicAction() action.trigger() self.qapp.processEvents() maskAction = self.plot.getScatterToolBar().actions()[-1] maskAction.trigger() self.qapp.processEvents() # Test proxy API self.plot.resetZoom() self.qapp.processEvents() scale = self.plot.getXAxis().getScale() self.assertEqual(scale, Axis.LOGARITHMIC) scale = self.plot.getYAxis().getScale() self.assertEqual(scale, Axis.LINEAR) title = 'Test ScatterView' self.plot.setGraphTitle(title) self.assertEqual(self.plot.getGraphTitle(), title) self.qapp.processEvents() # Reset scatter data self.plot.setData(None, None, None) self.qapp.processEvents() data = self.plot.getData() self.assertEqual(len(data), 5) self.assertEqual(len(data[0]), 0) # x self.assertEqual(len(data[1]), 0) # y self.assertEqual(len(data[2]), 0) # value self.assertIsNone(data[3]) # xerror self.assertIsNone(data[4]) # yerror def testAlpha(self): """Test alpha transparency in setData""" _pts = 100 _levels = 100 _fwhm = 50 x = numpy.random.rand(_pts)*_levels y = numpy.random.rand(_pts)*_levels value = numpy.random.rand(_pts)*_levels x0 = x[int(_pts/2)] y0 = x[int(_pts/2)] #2D Gaussian kernel alpha = numpy.exp(-4*numpy.log(2) * ((x-x0)**2 + (y-y0)**2) / _fwhm**2) self.plot.setData(x, y, value, alpha=alpha) self.qapp.processEvents() alphaData = self.plot.getScatterItem().getAlphaData() self.assertTrue(numpy.all(numpy.equal(alpha, alphaData))) def suite(): test_suite = unittest.TestSuite() loadTests = unittest.defaultTestLoader.loadTestsFromTestCase test_suite.addTest(loadTests(TestScatterView)) return test_suite if __name__ == '__main__': unittest.main(defaultTest='suite')