Convert a condensed distance matrix into a square matrix using SciPy

# Example Python program that forms the pairwise 
# distances between points as a square matrix
# using the SciPy function squareform()

import scipy.spatial.distance as dist
import numpy

# The data points
brain_weights_birds  = numpy.array([[0.5,    0.01365], [0.45,   0.00725],
                                    [0.3,    0.001], [1.8,    0.012],
                                    [2,      0.022], [1,      0.065]
                                   ])

# Get the condensed distance matrix
inTriangularForm    = dist.pdist(brain_weights_birds)

# Form the square matrix of pairwise distances
inSquareForm         = dist.squareform(inTriangularForm)

print("Pairwise distances:")
print(inTriangularForm)
print("Pairwise distances as a square matrix:")
print(inSquareForm)