<filename>Examples/ComplexMatrix/compare.py
'''Compare two exponentials to see if there is a similarity in their centrality
measures.

Usage:
    python compare.py mat1 mat2
'''
from matplotlib import pyplot as plt
from numpy import diag, array
from numpy.linalg import norm
from scipy.io import mmread
from sys import argv

mat1 = mmread(argv[1])
mat2 = mmread(argv[2])
diag1 = array(diag(mat1.todense()))
diag2 = array(diag(mat2.todense()))

fig, ax = plt.subplots(1,1)
ax.plot(diag1, diag2, '.')
ax.set_xlabel("Exact")
ax.set_ylabel("Guo Approximation")
plt.show()

<filename>Examples/ComplexMatrix/compare.py
'''Compare two exponentials to see if there is a similarity in their centrality
measures.

Usage:
    python compare.py mat1 mat2
'''
from matplotlib import pyplot as plt
from numpy import diag, array
from numpy.linalg import norm
from scipy.io import mmread
from sys import argv

mat1 = mmread(argv[1])
mat2 = mmread(argv[2])
diag1 = array(diag(mat1.todense()))
diag2 = array(diag(mat2.todense()))

fig, ax = plt.subplots(1,1)
ax.plot(diag1, diag2, '.')
ax.set_xlabel("Exact")
ax.set_ylabel("Guo Approximation")
plt.show()

Compare two exponentials to see if there is a similarity in their centrality measures.  Usage:     python compare.py mat1 mat2