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#!/usr/bin/env python
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2017-2018 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 example illustrates some usage possible with the baseline parameter
"""
__authors__ = ["H. Payno"]
__license__ = "MIT"
__date__ = "12/09/2019"
from silx.gui import qt
from silx.gui.plot import Plot1D
import numpy
import sys
import argparse
def stacked_histogran(plot, edges, histograms, colors, legend):
# check that we have the same number of histogram, color and baseline
current_baseline = numpy.zeros_like(edges)
for histogram, color, layer_index in zip(histograms, colors, range(len(colors))):
stacked_histo = histogram + current_baseline
plot.addHistogram(histogram=stacked_histo,
edges=edges,
legend='_'.join((legend, str(layer_index))),
color=color,
baseline=current_baseline,
z=len(histograms)-layer_index,
fill=True)
current_baseline = stacked_histo
def get_plot_std(backend):
x = numpy.arange(0, 10, step=0.1)
my_sin = numpy.sin(x)
y = numpy.arange(-4, 6, step=0.1) + my_sin
mean = numpy.arange(-5, 5, step=0.1) + my_sin
baseline = numpy.arange(-6, 4, step=0.1) + my_sin
edges = x[y >= 3.0]
histo = mean[y >= 3.0] - 1.8
plot = Plot1D(backend=backend)
plot.addCurve(x=x, y=y, baseline=baseline, color='grey',
legend='std-curve', fill=True)
plot.addCurve(x=x, y=mean, color='red', legend='mean')
plot.addHistogram(histogram=histo, edges=edges, color='red',
legend='mean2', fill=True)
return plot
def get_plot_stacked_histogram(backend):
plot = Plot1D(backend=backend)
# first histogram
edges = numpy.arange(-6, 6, step=0.5)
histo_1 = numpy.random.random(len(edges))
histo_2 = numpy.random.random(len(edges))
histo_3 = numpy.random.random(len(edges))
histo_4 = numpy.random.random(len(edges))
stacked_histogran(plot=plot,
edges=edges,
histograms=(histo_1, histo_2, histo_3, histo_4),
colors=('blue', 'green', 'red', 'yellow'),
legend='first_stacked_histo')
# second histogram
edges = numpy.arange(10, 25, step=1.0)
histo_1 = -numpy.random.random(len(edges))
histo_2 = -numpy.random.random(len(edges))
stacked_histogran(plot=plot, histograms=(histo_1, histo_2),
edges=edges,
colors=('gray', 'black'),
legend='second_stacked_histo')
# last histogram
edges = [30, 40]
histograms = [
[0.2, 0.3],
[0.0, 1.0],
[0.1, 0.4],
[0.2, 0.0],
[0.6, 0.4],
]
stacked_histogran(plot=plot,
histograms=histograms,
edges=edges,
colors=('blue', 'green', 'red', 'yellow', 'cyan'),
legend='third_stacked_histo')
return plot
def get_plot_mean_baseline(backend):
plot = Plot1D(backend=backend)
x = numpy.arange(0, 10, step=0.1)
y = numpy.sin(x)
plot.addCurve(x=x, y=y, baseline=0, fill=True)
plot.setYAxisLogarithmic(True)
return plot
def get_plot_log(backend):
plot = Plot1D(backend=backend)
x = numpy.arange(0, 10, step=0.01)
y = numpy.exp2(x)
baseline = numpy.exp(x)
plot.addCurve(x=x, y=y, baseline=baseline, fill=True)
plot.setYAxisLogarithmic(True)
return plot
def main(argv):
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
'--backend',
dest="backend",
action="store",
default=None,
help='Set plot backend. Should be "matplotlib" (default) or "opengl"')
options = parser.parse_args(argv[1:])
assert options.backend in (None, 'matplotlib', 'opengl')
qapp = qt.QApplication([])
plot_std = get_plot_std(backend=options.backend)
plot_std.show()
plot_mean = get_plot_mean_baseline(backend=options.backend)
plot_mean.show()
plot_stacked_histo = get_plot_stacked_histogram(backend=options.backend)
plot_stacked_histo.show()
plot_log = get_plot_log(backend=options.backend)
plot_log.show()
qapp.exec_()
if __name__ == '__main__':
main(sys.argv)
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