Notebook Test

Just something cool I thought I'd try



In [1]:

    
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline



In [2]:

    
data=np.arange(1000)
data=data+np.random.rand(len(data))*19
data=np.sin(data/39)
plt.plot(data,'.')









    Out[2]:





[<matplotlib.lines.Line2D at 0x7f225ff5c4a8>]



In [3]:

    
count,bins=np.histogram(data,bins=200)
plt.plot(bins[:-1],count,'.-')









    Out[3]:





[<matplotlib.lines.Line2D at 0x7f225fe43d30>]



In [ ]: