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Interactive Matplotlib Plotting While Computation Continues
In Python, matplotlib is a powerful library for data visualization. However, by default, its "show()" function blocks further computation, prompting the question:
How to detach matplotlib plots to allow concurrent computation?
The answer lies in leveraging matplotlib's non-blocking calls.
Using draw():
This method updates the plot without blocking further execution:
from matplotlib.pyplot import plot, draw, show plot([1, 2, 3]) draw() print('Continue computation') # Show the plot after calculations show()
Using interactive mode:
Interactive mode allows the plot to update automatically:
from matplotlib.pyplot import plot, ion, show ion() # Enables interactive mode plot([1, 2, 3]) # Plot shows immediately (implicit draw()) print('Continue computation') # Show the plot after calculations show()
By utilizing these techniques, you can interactively explore plots while the computation proceeds in the background, enhancing efficiency and allowing for more informed decision-making.
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