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from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
from IPython.display import display
import pylab


    

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##http://ipywidgets.readthedocs.io/en/latest/examples/Widget%20List.html


    

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foo = widgets.IntSlider(value=7,
    min=0,
    max=10,
    step=1,
    description='Test:',
    disabled=False,
    continuous_update=False,
    orientation='horizontal',
    readout=True,
    readout_format='i',
    slider_color='white')


    

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foo


    

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def f(x):
    return x

interact(f, x=widgets.IntSlider(min=-10,max=30,step=1,value=10))


    

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w = widgets.IntSlider()
display(w)


    

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display(w)


    

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w.close()


    

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w.value


    

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a = widgets.FloatText()
b = widgets.FloatSlider()
display(a,b)

mylink = widgets.jslink((a, 'value'), (b, 'value'))


    

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mylink.close()


    

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a.value


    

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import math
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas

import warnings


    

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t = np.arange(0., 5., 0.2)

# red dashes, blue squares and green triangles
plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
plt.show()


    

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#no love for the simple interact plot...
interact(lambda t,m: plt.plot(t,t*m), m=(0.0,10.0,0.01))
display()


    

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t = np.arange(0., 5., 0.2)

w = widgets.FloatSlider()
display(w)


    

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# red dashes, blue squares and green triangles
plt.plot(t, t*w.value)
plt.show()


    

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w = widgets.FloatSlider()
display(w)


    

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w.value


    

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t = np.arange(0.0,10.0,0.01) * 2 * np.pi


    

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def plt_func(f=pfunc, m=1):
    return(plt.plot(t,np.sin(t)*m))


    

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plt_func(m=3)


    

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interact(plt_func, m=(0.0,10.0,0.01))


    

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def viewfunc(amp, scale):
    t = np.arange(0.0,10.0,0.01) * 2 * np.pi
    plt.plot(t,np.sin(t * scale)*amp)


    

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amp_slide = widgets.FloatSlider(min=0, max=1.0, value=0.5, step=0.01)
scale_slide = widgets.FloatSlider(min=0, max=1.0, value=0.5, step=0.01)
interact(viewfunc, amp=amp_slide,scale=scale_slide)


    

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