Exemplo de Aplicação Interativa no Jupyter Notebook

# imports
%matplotlib inline
import matplotlib.pyplot as plt
import networkx as nx
from ipywidgets import interact
import matplotlib.image as mpimg
import numpy as np

# functions
def get_image():
    f = mpimg.imread('images/Lenna.png')
    f = (f[:,:,0] + f[:,:,1] + f[:,:,2]) / 3
    return f

def show_image(sample_factor, rep_factor):
    plt.figure()
    f = get_image()
    f = f[::sample_factor, ::sample_factor]
    f = np.tile(f, (rep_factor,rep_factor))
    imgplot = plt.imshow(f, cmap='Greys_r', interpolation='none')
    plt.show()

interact(show_image, sample_factor=(2,50), rep_factor=(1,10));