numpy.random.sample()
— this is one of the functions for random sampling in numpy. It returns an array of the given shape and fills it with random floating point numbers in the halfopen interval [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, eg, (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.
Code # 1:

Output:
Output random value: 0.9261509680895836
Code # 2:
# Python program explaining
# numpy.random.sample () function
# numpy imports
import
numpy as geek
# output array
out_arr =
geek.random.sample (size
=
(
3 ,
3
))
print
(
"Output 2D Array filled with random floats:"
, out_arr)
Output:
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]]
Code # 3:

Output:
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] ]
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