Sometimes, we want to plot in a non-blocking way with Python Matplotlib.

In this article, we’ll look at how to plot in a non-blocking way with Python Matplotlib.

How to plot in a non-blocking way with Python Matplotlib?

To plot in a non-blocking way with Python Matplotlib, we can use the draw method.

For instance, we write

import numpy as np
from matplotlib import pyplot as plt

def main():
    plt.axis([-50,50,0,10000])
    plt.ion()
    plt.show()

    x = np.arange(-50, 51)
    for pow in range(1, 5):
        y = [n**pow for n in x]
        plt.plot(x, y)
        plt.draw()
        plt.pause(0.001)
        input("Press [enter] to continue.")

if __name__ == '__main__':
    main()

to create the NumPy array x with the values for the x-axis.

Then we create y with the values in x raised to the pow power to create the values for the y-axis.

And then we call plot to plot with x and y.

Next, we call draw to draw the plot in a non-blocking way.

And then we call pause to pause plotting until enter is pressed.

Conclusion

To plot in a non-blocking way with Python Matplotlib, we can use the draw method.