# Copyright (C) 2022 The Qt Company Ltd. # SPDX-License-Identifier: LicenseRef-Qt-Commercial OR BSD-3-Clause import sys import numpy as np from scipy.stats import norm from matplotlib.figure import Figure from matplotlib.backends.backend_qtagg import FigureCanvas from matplotlib.backends.backend_qtagg import NavigationToolbar2QT from PySide6.QtCore import 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())