__author__ = 'jeff'

import csv

import networkx

import itertools

import pandas as pd

import collections

import matplotlib.pyplot as plt

import numpy as np

import os

import la

os.chdir('/Users/jeff/PycharmProjects/ChordDiagram')

with open ("UntradedRelationshipsEDGES.csv") as f:

data = pd.DataFrame(pd.read_csv(f))

#companylist = data['Target'].unique()

peoplelist = data['Source'].unique()

targetlist = data['Target'].unique()

connectionlist = []

#for i in companylist:

# memberList = []

# memberlist=data['Source'][data.Target==i].tolist()

# connectionlist += (list(itertools.permutations(memberlist,2)))

# resultdict=collections.defaultdict(list)

for i in targetlist:

global memberlist

memberlist = []

memberlist=data['Source'][data.Target==i].tolist()

print memberlist

cxlist = (list(itertools.permutations(memberlist,2)))

for n in cxlist:

mytuple = tuple([n,i])

connectionlist += [mytuple]

#print mytuple

resultdict=collections.defaultdict(list)

#for x in connectionlist:

# resultdict[x[0]].append(x[1])

#

for x in connectionlist:

resultdict[x[0]].append(x[1])

#resultdict

G=networkx.from_dict_of_lists(resultdict)

mymatrix = networkx.to_numpy_matrix(G)

mymatrix.shape

mymatrix[0,:]

#G.nodes()

label = [memberlist,memberlist]

mylarry = la.larry(mymatrix,label, dtype=float)