numpy 中的随机抽样 |样本（）函数

numpy.random.sample()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，并在半开区间[0.0, 1.0).

Syntax : numpy.random.sample(size=None)

Parameters :
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 floats in the interval [0.0, 1.0). or a single such random float if size not provided.

代码#1：

# Python program explaining
# numpy.random.sample() function
  
# importing numpy
import numpy as geek
  
# output random value
out_val = geek.random.sample()
print ("Output random value : ", out_val) 

输出 ：

Output random value :  0.9261509680895836

代码#2：

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

输出 ：

Output 2D Array filled with random floats :  [[ 0.75908777  0.88295677  0.60979136]
 [ 0.68157065  0.75100312  0.08321613]
 [ 0.8360331   0.64808891  0.14731635]]

代码#3：

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

输出 ：

Output 3D Array filled with random floats :  [[[ 0.3073475   0.75709465  0.86934712]
  [ 0.21953745  0.48138292  0.30686482]]

 [[ 0.48925625  0.60222083  0.14403257]
  [ 0.87030919  0.87298872  0.2222136 ]]]