I just want to add that you can use literal 16.055 to reproduce this:

import numpy as np
np.set_printoptions(precision=2)
np.array([16.055]).round(2)

array([16.06])

np.array([16.055])

array([16.05])

I would think it has to do with "round to nearest even":

np.array(16.055)

array(16.05)

np.array(16.065)

array(16.07)

np.array(16.065).round(2)

16.07

But it's as if `round` rounded decimal digits upwards (16.055 ->
16.06, 16.065 -> 16.07), whereas the `repr` rounded to the nearest
odd(!) digit (16.055 -> 16.05, 16.065 -> 16.07). Does this make any
sense? I'm on numpy 1.17.2.
(Scalars or 1-length 1d arrays don't seem to make a difference).
Regards,

András

Isn't that just for consistency with Python 3 round()?  I agree that the discrepancy with np.set_printoptions is not necessarily expected, except possibly for backwards compatibility.

Phil