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 simplest way is to call the todense() method on the data:

In [1]: import networkx as nx

In [2]: G = nx.Graph([(1,2)])

In [3]: nx.incidence_matrix(G)
Out[3]: 
<2x1 sparse matrix of type ''
    with 2 stored elements in Compressed Sparse Column format>

In [4]: nx.incidence_matrix(G).todense()
Out[4]: 
matrix([[ 1.],
        [ 1.]])

In [5]: nx.incidence_matrix(G).todense().A
Out[5]: 
array([[ 1.],
       [ 1.]])