I’m trying to display a sympy matrix in scientific notation, and it is only working for values less than 1. I can’t understand why applyfunc is behaving differently. Is there a better way to do this?

import numpy as np
from sympy import Matrix
from sympy.printing import latex
from IPython.display import display

C = np.array([
    [390, 145, ],
    [145, 0, ],
    ])*1e9

S_ij = np.linalg.inv(C)
S_scientific = Matrix(S_ij).applyfunc(lambda x: '{:.2e}'.format(float(x)))
print('this prints as desired:')
display(S_scientific) #m^2 / N 

def g(x):
    #shouldn't be necessary since 0 handles fine above
    if abs(float(x.evalf())) < 1e-10:
        return '0'
    else:
        return f'{float(x.evalf(8)):.2e}'
C_scientific = Matrix(C).applyfunc(g)
print()
print('this is not print in scientific notation:')
display(C_scientific) 
print(C_scientific)

And the output is, with a check on the function g: