#!/usr/bin/env python # coding: utf-8 # # So easy, *voilĂ *! # # In this example notebook, we demonstrate how VoilĂ  can render custom Jupyter widgets such as [bqplot](https://github.com/bloomberg/bqplot). # In[ ]: import warnings warnings.filterwarnings('ignore') # In[ ]: import numpy as np from bqplot import pyplot as plt plt.figure(1, title='Line Chart') np.random.seed(0) n = 200 x = np.linspace(0.0, 10.0, n) y = np.cumsum(np.random.randn(n)) plt.plot(x, y) plt.show()