How to integrate Matplotlib and NumPy into my Python and QML project for APK generation?

I’m currently working on a project that generates an APK file using Python and QML. I have successfully created a simple "Hello World" application, but now I want to enhance it by integrating the Matplotlib and NumPy libraries for data visualization.

**Project Overview:**

`main.py`: The main entry point where I want to add data processing and visualization using NumPy and Matplotlib.
`view.qml`: The QML file for the UI layout, where I plan to display the plots generated by Matplotlib.

**What I want to do:**

1. Use NumPy to generate some sample data (e.g., a sine wave).

2. Create plots using Matplotlib based on the generated data. 3. Display these plots in the QML interface while ensuring it works smoothly in the APK.

This is my main.py file for "Hello World":

import sys
import lib.main_rc
from PyQt5.QtGui import QGuiApplication
from PyQt5.QtQml import QQmlApplicationEngine


if __name__ == "__main__":
    app = QGuiApplication(sys.argv)
    engine = QQmlApplicationEngine(":/view.qml")
    if not engine.rootObjects():
        sys.exit()
    sys.exit(app.exec())

This is my view.qml file for "Hello World":

import QtQuick 2.0
import QtQuick.Controls 2.5

ApplicationWindow {
    visible: true

    Text {
        anchors.horizontalCenter: parent.horizontalCenter
        anchors.verticalCenter: parent.verticalCenter
        text: "Hello World"
    }
}

**Environment:**

Operating System: [Linux]

– Target: Android APK

**Challenges I’m facing:**

– I’m unsure how to properly install and import Matplotlib and NumPy in my project, especially in the context of building for Android.

– I need guidance on how to pass data between `main.py` and `view.qml` so that the plots generated in Python can be displayed in the QML interface.

Are there specific examples or best practices for integrating Matplotlib visualizations with a QML frontend in an APK?

You need to sign in to view this answers

Related Post