In [1]:

    

import plotly as py
import plotly.graph_objs as go
import ipywidgets as widgets
import numpy as np
from scipy import special

py.offline.init_notebook_mode(connected=True) # setup plotly in offline mode


    

In [6]:

    

# simple example
x = np.linspace(0, np.pi*4, 1000)

layout = go.Layout(
    title = 'SIMPLE EXAMPLE',
    yaxis = dict(
        title = 'volts'
    ),
    xaxis = dict(
        title='nanoseconds'
    )
)

trace1 = go.Scatter(
    x = x,
    y = np.sin(x),
    mode = 'lines',
    name = 'sin(x)',
    line = dict(
        shape = 'spline'
    )
)

fig = go.Figure(data=[trace1], layout = layout)
py.offline.iplot(fig)


    

In [11]:

    

# dashboard

layout = go.Layout(
    title = 'Bessel Function',
    yaxis = dict(
        title = 'volts'
    ),
    xaxis = dict(
        title='nanoseconds'
    )
)

# to update the plot given the widgets' input
def update_plot(signals, freq):
    
    data = []
    for s in signals:
        trace1 = go.Scatter(
            x = x,
            y = special.jv(s, freq * x),
            mode = 'lines',
            name = 'Bessel {}'.format(s),
            line = dict(
                shape = 'spline'
            )
        )
        data.append(trace1)

    fig = go.Figure(data=data, layout = layout)
    py.offline.iplot(fig)

signals = widgets.SelectMultiple(options=list(range(6)), 
                                 value=(0, ),
                                description = "Bessel Order")

freq = widgets.FloatSlider(min=1, max=20, value=1, description="Frequency")
widgets.interactive(update_plot, signals=signals, freq=freq)


    

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