In [1]:

    

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt, mpld3
from mpl_toolkits.mplot3d import Axes3D


    

In [2]:

    

from scipy.io import wavfile
rate, signal = wavfile.read("media/NST_Arpeggios_C_Audio.wav")
ns = signal.shape[0]
t = np.linspace(0, ns/rate, ns)


    

In [3]:

    

fig, (ax1, ax2) = plt.subplots(1,2,figsize=(16,5))
ax1.plot(t, signal[:,0])
ax1.set_title('Raw audio signal')
# Spectrogram
Pxx, freqs, bins, im = ax2.specgram(signal[:,0], Fs=rate, cmap="RdBu")
ax2.set_ylim([0,max(freqs)])
ax2.set_title('Spectrogram');
bound = np.linspace(-40,40, 51)
cb = fig.colorbar(im, boundaries=bound, ticks=bound[::10])
cb.set_label('Intensity [dB]')
cb.set_clim(-40, 40)


    

    




/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_axes.py:7027: RuntimeWarning: divide by zero encountered in log10
  Z = 10. * np.log10(spec)






    

In [4]:

    

plt.figure(figsize=(8,4))
x = np.linspace(0, 1, 1000)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)
plt.plot(x, y, lw=2)
plt.grid(True, lw=1, color='black', alpha=0.2)
plt.show()


    

In [5]:

    

mpld3.enable_notebook()
plt.figure(figsize=(8,4))
x = np.linspace(0, 1, 1000)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)
plt.plot(x, y, lw=2)
plt.grid(True, lw=1, color='black', alpha=0.2)
plt.show()


    

In [6]:

    

alpha = 0.7
phi_ext = 2 * np.pi * 0.5

def flux_qubit_potential(phi_m, phi_p):
    return 2 + alpha - 2 * np.cos(phi_p)*np.cos(phi_m) - alpha * np.cos(phi_ext - 2*phi_p)


    

In [7]:

    

phi_m = np.linspace(0, 2*np.pi, 100)
phi_p = np.linspace(0, 2*np.pi, 100)
X,Y = np.meshgrid(phi_p, phi_m)
Z = flux_qubit_potential(X, Y).T


    

In [8]:

    

fig, ax = plt.subplots()

im = ax.imshow(Z, cmap="RdBu", vmin=abs(Z).min(), vmax=abs(Z).max(), extent=[0, 1, 0, 1])
im.set_interpolation('bilinear')

cb = fig.colorbar(im, ax=ax)


    

In [14]:

    

import plotly
print plotly.__version__            # version 1.9.x required


    

    




1.9.3

In [15]:

    

plotly.offline.init_notebook_mode() # run at the start of every notebook


    

In [17]:

    

plotly.offline.iplot({
    "data": [{
        "x": [1, 2, 3],
        "y": [4, 2, 5]
    }],
    "layout": {
        "title": "hello world"
    }
})


    

    












    





Drawing...

In [18]:

    

x = np.linspace(0, 20, 100)
y = np.sin(x)
plotly.offline.iplot({
    "data": [{
        "x": x,
        "y": y
    }]
})


    

    












    





Drawing...

In [19]:

    

from IPython.core.display import HTML
def css_styling():
    styles = open('./styles/custom_barba.css', 'r').read()
    return HTML(styles)
css_styling()


    

    
Out[19]:

In [ ]: