Rounding to significant figures in numpy

Question

I\'ve tried searching this and can\'t find a satisfactory answer.

I want to take a list/array of numbers and round them all to n significant figures. I have written

Answer 1

I got quite frustrated after scouring the internet and not finding an answer for this, so I wrote my own piece of code. Hope this is what you're looking for

import numpy as np
from numpy import ma

exp = np.floor(ma.log10(abs(X)).filled(0))
ans = np.round(X*10**-exp, sigfigs-1) * 10**exp

Just plug in your np array X and the required number of significant figures. Cheers!