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Demonstration of multithreaded communication, real-time plotting and logging of live Arduino data using PyQt5 and PyQtGraph.
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This demo needs just a bare Arduino(-like) device that, for demonstration purposes, will act as a numerical waveform generator. The source files are included and they should compile over a wide range of Arduino boards. Connect the Arduino to any USB port on your computer and run this Python demo. It should automatically find the Arduino and show you a fully functioning GUI with live data at an stable acquisition rate of 100 Hz.
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This demo needs just a bare Arduino(-like) device that, for demonstration purposes, will act as a numerical waveform generator. The source files are included and they should compile over a wide range of Arduino boards. Connect the Arduino to any USB port on your computer and run this Python demo. It should automatically find the Arduino and show you a fully functioning GUI with live data at a stable acquisition rate of 100 Hz.
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It features a PyQt5 graphical user-interface, with a PyQtGraph plot for fast real-time plotting of data. The main thread handles the GUI and redrawing of the plot, another thread deals with acquiring data from the Arduino at a fixed rate and a third thread maintains a thread-safe queue where messages to be sent out to the Arduino are managed.
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