我应该使用 numpy 的随机生成器吗？

Question

I have a large Python code that I've been maintaining/updating/expanding since ~2014. Recently I came across numpy 's Random Number Generator Policy (2018-05) and now I'm a bit confused.

I'm not sure what changed, and if I should upgrade my code accordingly to use the new Random Generator . For example, the Random sampling docs say:

# Do this
from numpy.random import default_rng
rng = default_rng()
vals = rng.standard_normal(10)
more_vals = rng.standard_normal(10)

# instead of this
from numpy import random
vals = random.standard_normal(10)
more_vals = random.standard_normal(10)

All my code depends on the (old?) syntax shown in the second block (ie, I don't use default_rng but simple calls to np.random.seed() , np.random.uniform() , np.random.normal() , etc), and I don't know why I should use the first block instead of the second block.

Could someone shed some light over this please?

Answer 1

1.In python2(old code) default_rng is not available.

2.In python3(new code) both first and second blocks you mentioned will runs without an error and executed.

3.In future they may drop the random.standard_normal from coming versions of python,that's why they mentioned to use of default_rng instead of random.standard_normal