numpy sample()函数中的随机抽样
numpy.random.sample()是numpy中进行随机抽样的函数之一。它返回一个指定形状的数组,并在半开区间[0.0, 1.0]内填充随机浮点数。
语法 : numpy.random.sample(size=None)
参数 :
size : [int or tuple of ints, optional] 输出形状。如果给定的形状是,例如,(m, n, k),那么将绘制m * n * k的样本。默认为无,在这种情况下,将返回一个单一的值。
返回:区间[0.0, 1.0]的随机浮点数数组。如果没有提供大小,则为单个此类随机浮点数。
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 ]]]