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# 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)))
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