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import sys

sys.path.append('../../code/')
import os
import json
from datetime import datetime
import time

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy.stats as stats

import networkx as nx

from load_data import load_citation_network, case_info

%load_ext autoreload
%autoreload 2
%matplotlib inline

data_dir = '../../data/'
court_name = 'all'


    

    




The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload

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# # this will be a little slow the first time you run it
# G = load_citation_network(data_dir, court_name)

# print 'loaded %s network with %d cases and %d edges' % (court_name, len(G.nodes()), len(G.edges()))


    

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case_metadata = pd.read_csv(data_dir + 'clean/case_metadata_master.csv',
                            index_col='id')

edgelist = pd.read_csv(data_dir + 'clean/edgelist_master.csv')


    

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G = nx.DiGraph()
G.add_nodes_from(case_metadata.index.tolist())
nx.set_node_attributes(G, 'date', case_metadata['date'].to_dict())


    

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for index, edge in edgelist.iterrows():
    ing = edge['citing']
    ed = edge['cited']
    G.add_edge(ing, ed)


    

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