pyqt5 matplotlib

Matplotlib offers powerful visualizations that can be seamlessly integrated into a PyQt5 application. For this, specific libraries and imports are required.

Here’s how you can include Matplotlib plots within a PyQt5 application:

from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.pyplot as plt

The primary component here is a widget named ‘PlotCanvas’ which houses the Matplotlib visualization.

Integration of Matplotlib with PyQt5
The example provided below illustrates the embedding process of a Matplotlib plot within a PyQt5 window. Additionally, we’ll integrate a qpushbutton for demonstration.

import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QMenu, QVBoxLayout, QSizePolicy, QMessageBox, QWidget, QPushButton
from PyQt5.QtGui import QIcon
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import random

class App(QMainWindow):

    def __init__(self):
        super().__init__()
        self.left = 10
        self.top = 10
        self.title = 'PyQt5 and Matplotlib Integration - pythonspot.com'
        self.width = 640
        self.height = 400
        self.initUI()

    def initUI(self):
        self.setWindowTitle(self.title)
        self.setGeometry(self.left, self.top, self.width, self.height)
        m = PlotCanvas(self, width=5, height=4)
        m.move(0,0)
        button = QPushButton('Sample PyQt5 Button', self)
        button.setToolTip('This is an illustrative button')
        button.move(500,0)
        button.resize(140,100)
        self.show()

class PlotCanvas(FigureCanvas):

    def __init__(self, parent=None, width=5, height=4, dpi=100):
        fig = Figure(figsize=(width, height), dpi=dpi)
        self.axes = fig.add_subplot(111)
        FigureCanvas.__init__(self, fig)
        self.setParent(parent)
        FigureCanvas.setSizePolicy(self, QSizePolicy.Expanding, QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)
        self.plot()

    def plot(self):
        data = [random.random() for i in range(25)]
        ax = self.figure.add_subplot(111)
        ax.plot(data, 'r-')
        ax.set_title('PyQt and Matplotlib Demonstration')
        self.draw()

if __name__ == '__main__':
    app = QApplication(sys.argv)
    ex = App()
    sys.exit(app.exec_())

For those keen on diving deeper into PyQt5’s capabilities, consider downloading these comprehensive PyQT5 Example Codes.

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