Interactive Widgets Examples Using ipywidgets and nbinteract

from ipywidgets import interact
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import nbinteract as nbi
def f(x):
    return x
interact(f, x=10);
interact(f, x=True);
def square(x):
    return x * x

w = interact(square, x=10);
def friends(name, number):
    return '{} has {} friends!'.format(name, number)
interact(friends, name='Sam', number={'One': 1, 'Five': 5, 'Ten': 10});
from matplotlib import pyplot as plt
rolls = np.random.choice([1, 2, 3, 4, 5, 6], size=300)
averages = np.cumsum(rolls) / np.arange(1, 301)

def x_vals(num_rolls):
    return range(num_rolls)

def y_vals(xs):
    return averages[:len(xs)]

def plotting_func(num_rolls):
    plt.plot(x_vals(num_rolls), y_vals(x_vals(num_rolls)))

interact(plotting_func, num_rolls=(0,100));
def x_vals(n):
    return np.arange(n)

def y_vals(xs, n):
    return xs ** n


nbi.line(x_vals, y_vals,
         n=(1, 10))
from matplotlib import pyplot as plt
# nbi:right
@interact(x=(0, 10))
def plot(x):
    plt.plot(np.arange(x), np.arange(x) ** 2)

plt.show()
# nbi:left
@interact(x=(0, 10))
def square(x):
    return x * x