

In [6]:

    
import plotly.plotly as py
import numpy as np
import plotly.graph_objs as go
import plotly.offline as offline


offline.init_notebook_mode()


steps = []
magnetization = np.arange(-1.5,1.5,0.01)
temperatures = np.arange(0.1,3,0.5)
data = [dict(
        visible = False,
        line=dict(color='00CED1', width=6),
        name = 'T = %.1f, y=tanh((m+H)/T)' % temperature,
        x = magnetization,
        y = np.tanh(1. / temperature * magnetization)) for temperature in temperatures]
data[0]['visible'] = True
trace = go.Scatter(
    x = magnetization,
    y = magnetization,
    mode = 'lines',
    line=dict(width=6),
    name = 'y = m',
    visible = True,
)
data.append(trace)


for i in range(len(data)):
    step = dict(
        method = 'restyle',
        label = data[i]['name'].split(',')[0].split('=')[-1],
        args = ['visible', [False] * len(data)],
    )
    step['args'][1][i] = True # Toggle i'th trace to "visible"
    step['args'][1][-1] = True # Toggle the left-hand-side to always be visible
    steps.append(step)

sliders = [dict(
    active = len(data),
    currentvalue = {"prefix": "Temperature: "},
    pad = {"t": 50},
    steps = steps
)]

layout = dict(sliders=sliders, legend=dict(y=0.9, x=0.))

# fig = dict(data=data, layout=layout)

fig = go.Figure(data=data, layout=layout)

offline.plot(fig, filename='../../files/ising_model_magnetization.html', show_link=False)









    



IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.






    Out[6]:





'file:///Users/jaanaltosaar/Dropbox/100_projects/jaan.io/files/ising_model_magnetization.html'