In [22]:

    

import randomCorr as rc

m1 = np.loadtxt(open("../matrices/ex-1a.csv","rb"),delimiter=",")
m2 = np.loadtxt(open("../matrices/ex-1b.csv","rb"),delimiter=",")
m3 = np.loadtxt(open("../matrices/ex-2a.csv","rb"),delimiter=",")
m4 = np.loadtxt(open("../matrices/ex-2b.csv","rb"),delimiter=",")
m5 = np.loadtxt(open("../matrices/ex-3a.csv","rb"),delimiter=",")
m6 = np.loadtxt(open("../matrices/ex-3b.csv","rb"),delimiter=",")

ms =[m1, m2, m3, m4, m5, m6]

bp = []

for i in xrange(len(ms)):
    b_n = rc.triang_decomp(ms[i])
    p_n = rc.calc_params(b_n)
    bp.append((b_n, p_n))


    

In [23]:

    

import pandas as pd


    

In [24]:

    

for ps in (0,1), (2,3), (4,5):
    r2, flex,isoc, path_ms = rc.calc_path(ms, bp, ps[0], ps[1], return_matrices=True)    
    for i in range(0,101):
        df_i = pd.DataFrame(path_ms[i])
        df_i.to_excel('matrix-{}x{}-{}.xls'.format(ps[0],ps[1], i))


    

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