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#!/usr/bin/env python
# /*##########################################################################
#
# Copyright (c) 2016-2021 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 = (-10.0, 20.0 / 200.0)
dim1_calib = (-10.0, 15.0 / 150.0)
dim2_calib = (-5.0, 15.0 / 120.0)

# sv = StackView()
sv = StackViewMainWindow()
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.setColormap("jet")
sv.scaleColormapRangeToStack()

# Enable use of mask in other tools: colormap autoscale, histogram, profile
maskToolsWidget = sv.getPlotWidget().getMaskToolsDockWidget().widget()
maskToolsWidget.setItemMaskUpdated(True)

sv.show()

app.exec()