[Python] 넘파이 (Numpy) - 공부하기_random sampling.1

넘파이 난수 생성

import numpy as np

numpy.random.rand(d0,d1,...)

>>> a = np.random.rand()
>>> a

0.8265127132486283

>>> b = np.random.rand(10)
>>> b

array([0.52378504, 0.35727214, 0.35869626, 0.58862312, 0.39184057,
       0.49020887, 0.64360582, 0.08130151, 0.12713493, 0.42913997])
       

numpy.random.randn(d0, d1, ..., dn)

>>> c = np.random.randn()
>>> c
0.21423335992324902


>>> d = np.random.randn(10)
>>> d
array([-1.28840094, -2.03541272, -1.08534621, -0.3659988 ,  2.13054496,
       -0.37173855,  0.19194732,  0.91521406, -0.85081639, -0.68821558])

>>> e = np.random.randn(10,1)
>>> e
array([[-0.17924635],
       [ 1.09098268],
       [ 1.10546769],
       [-0.78903644],
       [ 1.29073505],
       [-1.08213603],
       [-1.08580595],
       [-0.34082787],
       [ 0.10444354],
       [ 0.08724687]])

 

numpy.random.randint(low, high=None, size=None, dtype='l')

>>> np.random.randint(5, size=(2, 4))
array([[4, 0, 2, 1],
       [3, 2, 2, 0]])

- 0,1로 이루어진 난수 생성

>>> np.random.randint(2, size=10)
array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0])

 

https://docs.scipy.org/doc/numpy-1.15.0/index.html