In [5]:

    

import numpy as np


    

In [6]:

    

import pandas as pd


    

In [8]:

    

pns_count = pd.Series.from_csv("fp_files/pns_apfp_count.csv", header=0)


    

In [10]:

    

pns_count.shape


    

    
Out[10]:





(21160,)

In [13]:

    

pns_count.head()


    

    
Out[13]:





APFP
10552354     5
10552355    16
10552356     7
10552357     6
10552358     2
Name: COUNT, dtype: int64

In [11]:

    

import matplotlib.pyplot as plt


    

In [19]:

    

a = pns_count.sort_values(ascending=False)


    

In [ ]:

    




    

In [28]:

    

plt.plot(a.values)
plt.show()


    

In [32]:

    

plt.plot(np.log10(a.values))
plt.show()


    

In [ ]:

    




    

In [ ]: