numpy 中的随机抽样 | randint()函数

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

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.
dtype : [optional] Desired output data-type.

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.randint() function
  
# importing numpy
import numpy as geek
  
# output array
out_arr = geek.random.randint(low = 0, high = 3, size = 5)
print ("Output 1D Array filled with random integers : ", out_arr) 

输出 ：

Output 1D Array filled with random integers :  [1 1 0 1 1]

代码#2：

# Python program explaining
# numpy.random.randint() function
  
# importing numpy
import numpy as geek
  
  
# output array
out_arr = geek.random.randint(low = 4, size =(2, 3))
print ("Output 2D Array filled with random integers : ", out_arr) 

输出 ：

Output 2D Array filled with random integers :  [[1 1 0]
 [1 0 3]]

代码#3：

# Python program explaining
# numpy.random.randint() function
  
# importing numpy
import numpy as geek
  
# output array
out_arr = geek.random.randint(2, 10, (2, 3, 4))
print ("Output 3D Array filled with random integers : ", out_arr) 

输出 ：

Output 3D Array filled with random integers :  [[[4 8 5 7]
  [6 5 6 7]
  [4 3 4 3]]

 [[2 9 2 2]
  [3 2 2 3]
  [6 8 3 2]]]