numpy_to_latex.py

def to_latex(a,label='A \\oplus B'):
    sys.stdout.write('\[ '
                 + label
                 + ' = \\left| \\begin{array}{' 
                 + ('c'*a.shape[1]) 
                 + '}\n' )
    for r in a:
        sys.stdout.write(str(r[0]))
        for c in r[1:]:
            sys.stdout.write(' & '+str(c))
        sys.stdout.write('\\\\\n')
    sys.stdout.write('\\end{array} \\right| \]\n')

An alternative (which I haven't yet posted).

def to_matrix(a,frmt = '{:1.2f}', arraytype = 'bmatrix'):
"""Returns a LaTeX array
🅰️ numpy array
:returns:
:prints: LaTeX array

Example:
to_matrix(Krm, frmt = '{:1.2f}', arraytype = 'array')
"""
if len(a.shape) > 2:
    raise ValueError('bmatrix can at most display two dimensions')
lines = str(a).replace('[', '').replace(']', '').splitlines()
print(r'\begin{' + arraytype + '}')
for l in lines:
    for num in l.split():
        print(frmt.format(float(num)) + ' ', end="")
        print('& ', end="")
    print(r'\\')
print(r'\end{' + arraytype + '}')
return 

to_matrix(Krm, frmt = '{:1.2f}', arraytype = 'array')