Web Reference: In this Matplotlib tutorial, we're going to cover how to create live updating graphs that can update their plots live as the data-source updates. In this Matplotlib tutorial, we're going to cover how to create live updating graphs that can update their plots live as the data-source updates. You may want to use this for something like graphing live stock pricing data, or maybe you have a sensor connected to your computer, and you want to display the live sensor data. This tutorial covers live plotting with Python using the Matplotlib module. When data is being piped onto a computer from a device such as a microcontroller, it can be plotted in real-time as soon the data is available, allowing you to visualize the data live.
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Matplotlib Tutorial for Beginners: Line Charts, Scatter Plots & BoxPlots | Python Data Visualization
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Matplotlib Tutorial (Part 2): Bar Charts and Analyzing Data from CSVs
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