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from bqplot import pyplot as plt
import ipywidgets as widgets
import numpy as np


    

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# generate some fake 
n = 2000
x = np.linspace(0.0, 10.0, n)
np.random.seed(0)
y = np.cumsum(np.random.randn(n)*10).astype(int)


    

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fig_hist = plt.figure( title='Histogram at Scipy')
hist = plt.hist(y, bins=25)
fig_hist


    

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hist.bins = 10


    

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slider = widgets.IntSlider(min=1, max=100, v_model=30)
slider


    

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slider.value;


    

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widgets.link((hist, 'bins'), (slider, 'value'));


    

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fig_lines = plt.figure( title='Line Chart')
lines = plt.plot(x, y)
fig_lines


    

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selector = plt.brush_int_selector()
def update_range(*ignore):
    if selector.selected is not None and len(selector.selected) == 2:
        xmin, xmax = selector.selected
        mask = (x > xmin) & (x < xmax)
        hist.sample = y[mask]
selector.observe(update_range, 'selected')


    

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