How to Dynamically Update Matplotlib Plots with Data from a Serial Port?

Dynamically Updating Plot in Matplotlib

Managing data visualization in real-time can present challenges, especially when seeking methods that efficiently update plots without hindering performance or reliance on unpredictable time intervals. This inquiry explores viable solutions for dynamically updating plots based on data received from a serial port.

To address the stated concern regarding slow performance when re-drawing the entire plot repeatedly, the following solution utilizes an animation mechanism in matplotlib to animate data in time:

import matplotlib.pyplot as plt
import numpy

hl, = plt.plot([], [])

def update_line(hl, new_data):
    hl.set_xdata(numpy.append(hl.get_xdata(), new_data))
    hl.set_ydata(numpy.append(hl.get_ydata(), new_data))
    plt.draw()

# Call update_line when receiving data from the serial port to update the plot incrementally

This approach efficiently extends the existing data without complete redraws, catering to the specific need of updating the plot only when new data is received.

The above is the detailed content of How to Dynamically Update Matplotlib Plots with Data from a Serial Port?. For more information, please follow other related articles on the PHP Chinese website!