How Can I Efficiently Update Matplotlib Plots Without Replotting?

Updating Matplotlib Plots Efficiently

To update plots in Matplotlib while avoiding repeated plotting, consider the following options:

1. Clearing and Replotting with Clear Method

Call graph1.clear() and graph2.clear() before redrawing the plot. This ensures a clean slate, but can be slow.

2. Updating Data of Plot Objects

Update the data of existing plot objects instead of replotting entirely. This is faster, but requires the data shape to remain constant. Manual axis limit adjustment may be necessary.

To demonstrate the second option:

import matplotlib.pyplot as plt
import numpy as np

# Define initial data
x = np.linspace(0, 6*np.pi, 100)
y = np.sin(x)

# Create figure and plot
fig = plt.figure()
ax = fig.add_subplot(111)
line1, = ax.plot(x, y, 'r-')

# Iterate through phases and update data
for phase in np.linspace(0, 10*np.pi, 500):
    line1.set_ydata(np.sin(x + phase))
    fig.canvas.draw()
    fig.canvas.flush_events()

This method efficiently updates the plot data in real-time without redrawing the entire plot.

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