pyqt QCustomPlot

QCustomPlot is a C++ library for creating 2D plots and graphs. PyQt is a Python binding for the Qt application framework, which includes the Qt GUI library that QCustomPlot is built on.

To use QCustomPlot with PyQt, you need to install PyQt and the QCustomPlot library. Once you have done that, you can create a QCustomPlot widget in your PyQt application and use its methods to create and customize plots.

Here is an example of how to create a simple plot using QCustomPlot and PyQt:

import sys
from PyQt5.QtWidgets import QApplication, QMainWindow
from qcustomplot import QCustomPlot, QCPGraphData, QCPScatterStyle

class MainWindow(QMainWindow):
    def __init__(self):
        super().__init__()
        self.initUI()

    def initUI(self):
        self.setWindowTitle("QCustomPlot Example")
        self.setGeometry(100, 100, 800, 600)

        self.plot = QCustomPlot(self)
        self.plot.setGeometry(50, 50, 700, 500)

        self.plot.addGraph()
        self.plot.graph(0).setLineStyle(QCPGraphData.lsNone)
        self.plot.graph(0).setScatterStyle(QCPScatterStyle(QCPScatterStyle.ssCircle, 5))
        self.plot.graph(0).setData([0, 1, 2, 3, 4], [1, 2, 3, 2, 1])

if __name__ == "__main__":
    app = QApplication(sys.argv)
    window = MainWindow()
    window.show()
    sys.exit(app.exec_())

In this example, we create a MainWindow class that inherits from QMainWindow. We create a QCustomPlot widget and add it to the main window. We then add a graph to the plot and set its line style to none and its scatter style to a circle with a size of 5. We set the data for the graph using two arrays of x and y values.

When we run the application, we see a simple plot with five points. We can customize the plot further by using more of QCustomPlot's methods and properties.