In numpy I have an array like
[0 + 0.5j, 0.25 + 1.2352444e-24j, 0.25+ 0j, 2.46519033e-32 + 0j]
what is the fastest and easiest way to se
To set elements that are less than eps to zero:
a[np.abs(a) < eps] = 0
There could be a specialized function that is more efficient.
If you want to suppress printing of small floats instead:
import numpy as np
a = np.array([1+1e-10j])
print a # -> [ 1. +1.00000000e-10j]
np.set_printoptions(suppress=True)
print a # -> [ 1.+0.j]