Creating Multiple Live Plot GUI with PyQt5 and pyqtgraph

Learn how to create a `multi-plot GUI application` using `PyQt5` and `pyqtgraph` for live EEG/ECG plotting on different axes.
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Building a Multi-Purpose Live Plot GUI with PyQt5 and pyqtgraph

Creating a graphical user interface (GUI) for visualizing live EEG/ECG data using PyQt5 and pyqtgraph can be quite the task, especially when it involves multiple live plots. In this guide, we will guide you through the process of integrating multiple live plots into a single GUI application. The ultimate goal is to visualize EEG/ECG graphs on different axes in a seamless manner.

Understanding the Problem

You might want to create a GUI where you can monitor live data, like EEG or ECG signals, in real-time. The requirement here is to have multiple plots displayed simultaneously, each capable of updating with new data points.

In essence, you need:

Separate axes for different plots

The capability to update these plots live as new data comes in

A structured and straightforward layout to keep the application organized

We will be using PyQt5 for the GUI interface and pyqtgraph for the plotting functionalities.

Solutions Breakdown

To build this application, we’ll be utilizing two main classes:

DynamicPlotter - This will handle the live plotting of data.

MainWindow - This will represent your main GUI window containing multiple plot widgets.

Step 1: Modifying the DynamicPlotter Class

The first step involves modifying the DynamicPlotter class to accept a PlotWidget instance as an argument. This allows us to use the PlotWidgets created in the MainWindow class directly.

Here’s how we can adjust the class:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Creating the Main Window

Next, we will implement the MainWindow that integrates several plot widgets. Each of the plot widgets will utilize a DynamicPlotter. Here’s how to set it up:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Integrating Components

Finally, we will set up the app loop, ensuring that the main window runs properly and opens as expected:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you should be able to successfully create a multi-plot GUI that visualizes live EEG/ECG data using PyQt5 and pyqtgraph. The flexibility of being able to add more plots by instantiating additional DynamicPlotter objects allows for scalability in your data visualization endeavors.

Feel free to experiment with different data sources or parameters to adjust the plots according to your needs. Happy coding!