visualize_graynet.py 文件源码

def get_adjacency_matrix(out_dir, sid, expt_id):
    "Returns the adjacency matrix"

    vec_path = pjoin(out_dir, sid, '{}_graynet.csv'.format(expt_id))
    edge_vec = np.genfromtxt(vec_path)

    matrix_size = np.int64( (1.0 + np.sqrt(1.0+8.0*len(edge_vec)))/2.0 )
    edge_mat = np.zeros([matrix_size, matrix_size])

    # making this symmetric as required by nilearn's plot_connectome (stupid)
    # upper tri; diag +1; # lower tri; diag -1
    upper_tri = np.triu_indices_from(edge_mat, +1)
    lower_tri = np.tril_indices_from(edge_mat, -1)
    edge_mat[upper_tri] = edge_vec
    edge_mat[lower_tri] = edge_mat.T[lower_tri]

    return edge_mat