How do I transform a “SciPy sparse matrix” to a “NumPy matrix”?

Question

I am using a python function called \"incidence_matrix(G)\", which returns the incident matrix of graph. It is from Networkx package. The problem that I am facing is the ret

Answer 1

The scipy.sparse.*_matrix has several useful methods, for example, if a is e.g. scipy.sparse.csr_matrix:

• a.toarray() or a.A - Return a dense ndarray representation of this matrix. (numpy.array, recommended)
• a.todense() or a.M - Return a dense matrix representation of this matrix. (numpy.matrix)