numpy 随机采样 random_sample() 用法及代码示例

numpy.random.random_sample() 是用于在numpy中进行随机采样的功能之一。它返回指定形状的数组,并在半开间隔中将其填充为随机浮点数[0.0, 1.0).

用法:

numpy.random.random_sample(size=None)

参数:
size :[int或int元组,可选]输出形状。如果给定的形状是例如(m,n,k),则绘制m * n * k个样本。默认值为无,在这种情况下,将返回单个值。

**Return :**间隔中的随机浮动数组[0.0, 1.0).如果未提供尺寸,则为单个此类随机浮动。

代码1:

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

输出:

Output random float value: 0.9211987310893188

代码2:

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

输出:

Output 2D Array filled with random floats: [[ 0.64325146  0.4699456   0.89895437]]

代码3:

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

输出:

Output 3D Array filled with random floats: [[[ 0.78245025]
  [ 0.77736746]]

 [[ 0.54389267]
  [ 0.18491758]]

 [[ 0.97428409]
  [ 0.73729256]]]

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