numpy 中的随机抽样 | random_integers()函数

numpy.random.random_integers()是在 numpy 中进行随机采样的函数之一。它返回一个指定形状的数组，并用从low（包括）到high（不包括）的随机整数填充它，即在区间[low, high).

Syntax : numpy.random.random_integers(low, high=None, size=None)

Parameters :
low : [int] Lowest (signed) integer to be drawn from the distribution.But, it works as a highest integer in the sample if high=None.
high : [int, optional] Largest (signed) integer to be drawn from the distribution.
size : [int or tuple of ints, optional] Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.

Return : Array of random integers in the interval [low, high) or a single such random int if size not provided.

代码#1：

# Python program explaining
# numpy.random.random_integers() function
  
# importing numpy
import numpy as geek
  
# output array
out_arr = geek.random.random_integers(low = 0, high = 5, size = 4)
print ("Output 1D Array filled with random integers : ", out_arr) 

输出 ：

Output 1D Array filled with random integers :  [1 1 4 1]

代码#2：

# Python program explaining
# numpy.random.random_integers() function
  
# importing numpy
import numpy as geek
  
  
# output array
out_arr = geek.random.random_integers(low = 3, size =(3, 3))
print ("Output 2D Array filled with random integers : ", out_arr) 

输出 ：

Output 2D Array filled with random integers :  [[2 3 1]
 [2 2 3]
 [3 3 3]]

代码#3：

# Python program explaining
# numpy.random.random_integers() function
  
# importing numpy
import numpy as geek
  
# output array
out_arr = geek.random.random_integers(1, 6, (2, 2, 3))
print ("Output 3D Array filled with random integers : ", out_arr) 

输出 ：

Output 3D Array filled with random integers :  [[[4 8 5 7]
Output 3D Array filled with random integers :  [[[5 1 5]
  [5 4 1]]

 [[3 6 4]
  [4 5 3]]]