Should I use numpy's Random Generator?

user_1391441 0
Viewed 141

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 (i.e., 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?

numpy python
1 Answers

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

user_117271240
Related