How Can I Monitor Intermediate Results During Extended Matplotlib Calculations Without Blocking Execution?

Interactive Exploration of Matplotlib Plots During Extended Calculations

In data visualization workflows, it becomes necessary to monitor intermediate results while extensive computations are ongoing. With matplotlib, a common practice is to use the show() function to display plots after computation. However, this function blocks the script execution, preventing further calculations.

To overcome this limitation, let's explore techniques that allow for detaching matplotlib plots from the active computation.

Detaching Plots

Matplotlib provides two alternatives for detaching plots:

1. Using draw():

Instead of show(), invoke the draw() method to display the plot without blocking the script. The plot will update only once the script execution resumes. This is ideal for visualizing static images during computation. After navigating the plot, call show() at the end to keep the window open.

2. Using Interactive Mode:

Enable matplotlib's interactive mode with the ion() function. This mode automatically calls draw() after each plotting command, allowing for immediate visualization. Like draw(), interactive mode does not block computation. When done, call show() to ensure the window remains open.

By using either draw() or interactive mode, you can detach matplotlib plots from the computation, enabling interactive exploration of intermediate results without hindering ongoing calculations.

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