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

Is numpy.set_printoptions what you're looking for?

import numpy as np
np.set_printoptions(precision=2)
print np.array([  0.0, -1.2366e22, 1.2544444e-15, 0.001222 ])

Gives:

[  0.00e+00  -1.24e+22   1.25e-15   1.22e-03]

Edit:

numpy.around appears to solve aspects of this problem if you're trying to transform the data. However, it doesn't do what you want in cases where the exponent is negative.