illusionist: matplotlib example

This example illustrates an Output ipywidget that contains a Matplotlib plot that is controlled by a slider.

With illusionist we make this static so it runs without a kernel.

import ipywidgets
import numpy as np
from IPython.display import display, clear_output

import matplotlib as mpl
import matplotlib.pyplot as plt

%matplotlib inline
backend_ =  mpl.get_backend()

mpl.use("Agg")
ax = plt.axes()
mpl.use(backend_)

A = 5
f = ipywidgets.IntSlider(min=1, max=10, value=5)

f

out = ipywidgets.Output()
out

def update(value):
    ax.clear()
    
    out.clear_output(wait=True)

    t = np.arange(0.0, f.value, 0.01)
    s = A + np.sin(np.pi * t)

    ax.plot(t, s)

    ax.set(xlabel="time (s)", ylabel="voltage (mV)", title="About as simple as it gets, folks")
    ax.grid()
    
    with out:
        display(ax.figure)
    #import time
    #time.sleep(5)

f.observe(update, "value")
update(None)