How Can Matplotlib Plotting Be Made Non-Blocking Across Backends?

Plotting in a Non-Blocking Way with Matplotlib Across Backends

When attempting to plot a function in Matplotlib without blocking execution, it's important to consider the impact of the backend used. While 'show(block=False)' may be suggested as a solution, its functionality varies based on the backend. As stated in the provided question, 'show(block=False)' does not produce the intended non-blocking behavior with the Qt4Agg backend.

To address this issue effectively, a combination of approaches is recommended. Firstly, it's necessary to activate interactive mode using 'plt.ion()'. This allows the GUI to handle events while the primary code is executing.

Next, 'plt.show()' should be invoked without 'block=False' to display the plot window. Crucially, 'plt.pause(.001)' needs to be included after each plotting operation. This pause allows GUI events to be processed, including the redrawing of the plot. The specified time argument in 'plt.pause()' determines the duration of the pause.

By combining 'plt.ion()', 'plt.show()', and 'plt.pause(.001)', it becomes possible to update the existing plot window dynamically without blocking execution, regardless of the backend used. This approach ensures that the plot remains responsive and allows for continuous interactions.

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