In [1]:

    

%pylab inline


    

    




Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].
For more information, type 'help(pylab)'.

In [2]:

    

raw = np.array([ [18, 2.0], [29, 1.0], [33, 5.0], [46, 1.0] ])


    

In [19]:

    

plt.plot(raw[:,0], raw[:,1], 'o')
plt.axis([0, 60, 0, 6])
plt.xlabel('Time (s)')
plt.ylabel('X')
plt.savefig('raw_points.png')


    

In [20]:

    

plt.plot(raw[:,0], raw[:,1], 'o')
plt.vlines([20, 30, 40, 50], 0, 0.5, color='r', linestyles='solid')
plt.axis([0, 60, 0, 6])
plt.xlabel('Time (s)')
plt.ylabel('X')
plt.savefig('sample_times.png')


    

In [21]:

    

plt.plot(raw[:,0], raw[:,1], 'o')
plt.vlines([20, 30, 40, 50], 0, 0.5, color='r', linestyles='solid')
plt.vlines([15, 25, 35, 45, 55], 0, 6, color='g', linestyles='dashed')
plt.axis([0, 60, 0, 6])
plt.xlabel('Time (s)')
plt.ylabel('X')
plt.savefig('bins.png')


    

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