In [28]:

    

from matplotlib import pyplot as plt
import numpy as np

values = np.random.binomial(1000, 0.5, 1000)


    

In [29]:

    

plt.hist(values, bins=20)  # Generate some annoying noise before the chart


    

    
Out[29]:





(array([   3.,    3.,    7.,   23.,   39.,   46.,   75.,   94.,   94.,
        118.,  121.,  104.,   82.,   66.,   45.,   46.,   18.,    8.,
          6.,    2.]),
 array([ 454.  ,  458.65,  463.3 ,  467.95,  472.6 ,  477.25,  481.9 ,
        486.55,  491.2 ,  495.85,  500.5 ,  505.15,  509.8 ,  514.45,
        519.1 ,  523.75,  528.4 ,  533.05,  537.7 ,  542.35,  547.  ]),
 <a list of 20 Patch objects>)






    

In [30]:

    

_ = plt.hist(values, bins=20)  # Remove noise (option 1)


    

In [31]:

    

plt.hist(values, bins=20)
None  # Remove noise (option 2)