Is there a way to print every iteration of nx.eigenvector_centrality_numpy?

Question

I'm looking for Eigenvector Centrality with nx.eigenvector_centrality_numpy() where the graph is directed and weighted.

I'm curious, is there a way so that I can print each iteration or at least know in how many iterations this iteration method converges. Because, if I calculate manually, the eigenvalues/eigenvector in my case don't converge because they don't have dominant eigenvalues. e.ig |\lamda1|=|\lambda2|

Below is the example about printing each iteration that I want and the calculating of my case manually that doesn't converge

STEP 99
----------
Eigen Value = 3.70328
Eigen Vector: 
0.51640 
0.77460 
0.25820 
0.25820 
errror=0.6172133998483682

STEP 100
----------
Eigen Value = 4.32049
Eigen Vector: 
0.71714 
0.47809 
0.35857 
0.35857 
Not convergent in given maximum iteration!

And this's what I got when using nx.eigenvector_centrality_numpy (which is converge):

{'a': 0.3779644730092272,
 'b': 0.7559289460184544,
 'c': 0.3779644730092272,
 'd': 0.3779644730092272}