In [1]:

    

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


    

    




/home/tbsexton/anaconda/lib/python2.7/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.
  "`IPython.html.widgets` has moved to `ipywidgets`.", ShimWarning)

In [2]:

    

from preprocess import Preprocess
from analysis import *


    

In [3]:

    

pre = Preprocess('../tweet_input/tweets.txt')
pre.extract()


    

    




Parsing JSON objects...
Done!
Parsed 9295 Tweets.
Dropped 704 Tweets with missing information.
Total tweets in storage: 9295

In [4]:

    

len(pre.df.index)


    

    
Out[4]:





9295

In [42]:

    

# from itertools import islice, dropwhile
# islice()
# all_graphs(df, window=10.)
tweet_no = 11
g = get_graphs(pre.df, tweet_no,tweet_no+1, window=10.)
print len(g)
draw_lifted(g[0])


    

    










    




1






    

In [ ]:

    

get_times = lambda g: g.graph['time'] 

graph_gen = rolled_graph_gen(pre.df, start=8000, window=10.)
X = g_stats(graph_gen, mean_deg, get_times)


    

In [29]:

    

degrees, times = X[:,0], X[:,1]

plt.plot(degrees)


    

    
Out[29]:





[<matplotlib.lines.Line2D at 0x7f07a8dd4cd0>]






    

In [30]:

    

plt.plot(times, degrees, '.')
plt.xticks(rotation=20)
# X.shape


    

    
Out[30]:





(array([ 736052.25309028,  736052.25314815,  736052.25320602,
         736052.25326389,  736052.25332176]),
 <a list of 5 Text xticklabel objects>)






    

In [31]:

    

sns.distplot(degrees)


    

    
Out[31]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f0782871d50>






    

In [28]:

    

graph_list = get_graphs(pre.df, window=10.)


    

In [32]:

    

draw_lifted(graph_list[0])


    

In [33]:

    

X = g_stats(graph_list, mean_deg, get_times)
degrees, times = X[:,0], X[:,1]

g = graph_list[np.argmax([degrees])]
print g.degree().values()

draw_lifted(g)


    

    




keyword not recognized. Input savename='path/to/file.txt'.
[7, 7, 7, 7, 7, 7, 7, 7]






    

In [34]:

    

g = graph_list[np.argmin([degrees])]
print g.degree().values()

draw_lifted(g)


    

    




[1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1]






    

In [ ]: