Comparison to IPywidgets

Provides a different approach than ipywidgets.interact for making sliders that affect a Matplotlib plot. When using interact you are responsible for:

Defining the function to plot f(x,…) => y Handling the plotting logic (plt.plot, fig.cla, ax.set_ylim, etc)

In contrast, with mpl-interactions you only need to provide f(x, …) => y and the plotting and updating boilerplate are handled for you.

x = np.linspace(0,6,100) beta = np.linspace(0,5*np.pi) def f(x, beta):

return np.sin(x*4+beta)

interactive_plot(f, x=x, beta=beta)