I'm on Python and have generated a numpy.ndarray in the following manner:
import numpy as np
from numpy import * #para importar además todas las cosas dentro de numpy, opcional
from scipy.stats import cauchy
x=cauchy.rvs(loc=0, scale=1, size=3360000)
I want to make different calculations with x
but, in order to do this, x
must remain constant independent of how many times I run the code (I don't want x
to get redefined every time I run my code). To give a more clear idea of what I want, if instead of 3 360 000 Cauchy samples, I had only 3 (say, x=[1,2,3]) then I would run it once and then type x=[1,2,3]
at the beginning of the code (replacing the first piece of code mentioned in my question). The sample size being so big makes this imposible.
How do I fix a randomly generated element on python?
btw, I have very little experience when it comes to programming and it´s definitely not my strongest asset.
Aucun commentaire:
Enregistrer un commentaire