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+#!/usr/bin/env python
+# /*##########################################################################
+#
+# Copyright (c) 2017-2021 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 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)