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#############################################################################
##
## Copyright (C) 2021 The Qt Company Ltd.
## Contact: https://www.qt.io/licensing/
##
## This file is part of the Qt for Python examples of the Qt Toolkit.
##
## $QT_BEGIN_LICENSE:BSD$
## You may use this file under the terms of the BSD license as follows:
##
## "Redistribution and use in source and binary forms, with or without
## modification, are permitted provided that the following conditions are
## met:
## * Redistributions of source code must retain the above copyright
## notice, this list of conditions and the following disclaimer.
## * Redistributions in binary form must reproduce the above copyright
## notice, this list of conditions and the following disclaimer in
## the documentation and/or other materials provided with the
## distribution.
## * Neither the name of The Qt Company Ltd nor the names of its
## contributors may be used to endorse or promote products derived
## from this software without specific prior written permission.
##
##
## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
## "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
## LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
## A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
## OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
## DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
## THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
## (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
## OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
##
## $QT_END_LICENSE$
##
#############################################################################
import sys
import numpy as np
from scipy.stats import norm
from matplotlib import pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt5agg import FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT
from PySide6.QtCore import Qt, Slot
from PySide6.QtWidgets import (
QApplication,
QWidget,
QDoubleSpinBox,
QVBoxLayout,
QHBoxLayout,
)
"""This example implements the interaction between Qt Widgets and a 2D
matplotlib plot showing a gaussian curve with scipy"""
class PlotWidget(QWidget):
def __init__(self, parent=None):
super().__init__(parent)
# create widgets
self.view = FigureCanvas(Figure(figsize=(5, 3)))
self.axes = self.view.figure.subplots()
self.toolbar = NavigationToolbar2QT(self.view, self)
self.mu_input = QDoubleSpinBox()
self.std_input = QDoubleSpinBox()
self.mu_input.setPrefix("μ: ")
self.std_input.setPrefix("σ: ")
self.std_input.setValue(10)
# Create layout
input_layout = QHBoxLayout()
input_layout.addWidget(self.mu_input)
input_layout.addWidget(self.std_input)
vlayout = QVBoxLayout()
vlayout.addWidget(self.toolbar)
vlayout.addWidget(self.view)
vlayout.addLayout(input_layout)
self.setLayout(vlayout)
# connect inputs with on_change method
self.mu_input.valueChanged.connect(self.on_change)
self.std_input.valueChanged.connect(self.on_change)
self.on_change()
@Slot()
def on_change(self):
""" Update the plot with the current input values """
mu = self.mu_input.value()
std = self.std_input.value()
x = np.linspace(-100, 100)
y = norm.pdf(x, mu, std)
self.axes.clear()
self.axes.plot(x, y)
self.view.draw()
if __name__ == "__main__":
app = QApplication(sys.argv)
w = PlotWidget()
w.show()
sys.exit(app.exec())
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