In [5]:

    

%matplotlib inline
import matplotlib.pyplot as plt
from IPython.html.widgets import interact
from sklearn import datasets


    

In [6]:

    

digits = datasets.load_digits()


    

In [7]:

    

def browse_images(digits):
    n = len(digits.images)
    def view_image(i):
        plt.imshow(digits.images[i], cmap=plt.cm.gray_r, interpolation='nearest')
        plt.title('Training: %s' % digits.target[i])
        plt.show()
    interact(view_image, i=(0,n-1))


    

In [8]:

    

browse_images(digits)


    

In [15]:

    

def browse_list(digits):
    n = len(digits)
    def view_image(i):
        plt.plot(i)
        plt.title('Training: %s' % i)
        plt.show()
    interact(view_image, i=(0,n-1))


    

In [16]:

    

browse_list(range(7))


    

In [17]:

    

from IPython.html.widgets import interact, interactive, fixed
from IPython.html import widgets
from IPython.display import clear_output, display, HTML


    

In [18]:

    

def show_args(**kwargs):
    s = '<h3>Arguments:</h3><table>\n'
    for k,v in kwargs.items():
        s += '<tr><td>{0}</td><td>{1}</td></tr>\n'.format(k,v)
    s += '</table>'
    display(HTML(s))


    

In [19]:

    

show_args(a=10, b='Hi There', c=True)


    

    





Arguments:

a
10
c
True
b
Hi There

In [20]:

    

i = interact(show_args,
         Temp=(0,10),
         Current=(0.,10.,0.01),
         z=True,
         Text=u'Type here!',
         #Algorithm=['This','That','Other'],
         a=widgets.FloatSliderWidget(min=-10.0, max=10.0, step=1, value=5.0, description="Float (a)")
         )


    

    





Arguments:

Current
4.58
Text
Type here!
z
True
Temp
8
Float (a)
3.3

In [ ]:

    

mywidget = widgets.BoundedIntTextWidget()


    

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