two ways of making a square matrix from a vector

square_matrix_from_vector.py

'''make square matrix from vector'''

import numpy as np
nr_elems = 253
vals = np.random.rand(nr_elems)

# first method using scipy distance: 
from scipy.spatial import distance
vals_square_1 = distance.squareform(vals)


# second method using numpy 
vals_square_2 = np.zeros([23, 23])
vals_square_2[np.triu_indices(len(vals_square_2), k=1)] = vals
vals_square_2 = vals_square_2 + vals_square_2.T

np.all(vals_square_1 == vals_square_2)


as_matrix = spatial.distance.squareform(Y, force='tomatrix', checks=False)




# return upper part of a square matrix:
M[np.triu_indices(len(M), k=k)]