In [14]:

    

import numpy as np
from matplotlib import pyplot as plt
import cPickle
import pandas as pd
import os
%matplotlib inline


    

In [6]:

    

os.listdir("../data/")


    

    
Out[6]:





['chineseTree.json',
 'chinese_training_{0}.cpickle',
 'myTree.json',
 'chineseTuples.json',
 'myTree2.json',
 'htmlTest',
 'path_selection.txt',
 'chinese_training_01.cpickle']

In [7]:

    

tagStats = cPickle.load(open("../data/chinese_training_01.cpickle","r"))


    

In [25]:

    

pd.DataFrame(tagStats["B"]["parent"]).plot()


    

    
Out[25]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fbd292c9e50>






    

In [24]:

    

pd.DataFrame(tagStats["D"]["parent"]).plot()


    

    
Out[24]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fbd294330d0>






    

In [23]:

    

pd.DataFrame(tagStats["E"]["parent"]).plot()


    

    
Out[23]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fbd2988a2d0>






    

In [30]:

    

for l in tagStats.keys():
    print set(tagStats[l]["level"])


    

    




set([0, 1])
set([0, 1])
set([0, 1])
set([0, 1])
set([0, 1])

In [ ]: