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How to Make Matplotlib Plots Interactive During Computation?

Linda Hamilton
Linda HamiltonOriginal
2024-11-08 14:02:01751browse

How to Make Matplotlib Plots Interactive During Computation?

Interactive Matplotlib Plots During Computation

When creating visualizations with Matplotlib, it's often desirable to continue exploring the results while computations are ongoing. However, the default behavior is to block computation until the show() function is called.

Detaching Plots

To detach plots from the main computation thread, there are two approaches:

Using draw():

This method allows for selective redrawing of the plot. Instead of calling show(), use draw() after plotting data. The computation will resume while the plot remains interactive. However, calling draw() multiple times may cause the plot to flicker.

from matplotlib.pyplot import plot, draw, show

plot([1,2,3])
draw()
print('continue computation')

# at the end call show to ensure window won't close.
show()

Enabling Interactive Mode:

This approach uses Matplotlib's interactive mode. Calling ion() enables the interactive mode, which automatically redraws the plot after each plotting command. The computation will continue while the plot can be interactively zoomed, panned, and investigated.

from matplotlib.pyplot import plot, ion, show

ion() # enables interactive mode
plot([1,2,3]) # result shows immediatelly (implicit draw())

print('continue computation')

# at the end call show to ensure window won't close.
show()

By employing either of these approaches, it's possible to detach Matplotlib plots and allow computations to proceed in the background while interactively exploring the intermediate results.

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