In [1]:

    

%matplotlib inline


    

In [2]:

    

import networkx as nx
import pandas as pd
import projx as px
import matplotlib.pyplot as plt


    

In [3]:

    

plt.rcParams['figure.figsize'] = (12, 7)


    

In [4]:

    

def prob_dist(itrbl):
    count = {}
    for i in itrbl:
        count.setdefault(i, 0)
        count[i] += 1
    sr = pd.Series(count)
    prob = sr.apply(lambda x: float(x) / len(itrbl))
    return prob


    

In [5]:

    

graph = nx.read_gexf("projections/ninetyfive_percent_cut.gexf")


    

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subgraphs = list(nx.connected_component_subgraphs(graph))
print([len(sub) for sub in subgraphs])


    

    




[44, 4, 4, 2, 5]

In [7]:

    

g = subgraphs[0]
g1 = subgraphs[1]
g2 = subgraphs[2]
g3 = subgraphs[3]


    

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nx.write_gexf(g, "projections/ninety_percent_cut.gexf")


    

In [8]:

    

plt.rcParams['figure.figsize'] = (17, 12)


    

In [9]:

    

px.draw_simple_graph(g)


    

In [10]:

    

plt.rcParams['figure.figsize'] = (12, 7)


    

In [11]:

    

px.draw_simple_graph(g1)


    

In [12]:

    

px.draw_simple_graph(g2)


    

In [13]:

    

px.draw_simple_graph(g3)


    

In [13]: