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 half-open interval
Syntax: numpy. random.sample (size = None)
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 random value: 0.9261509680895836
Code # 2:
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: p>
code > 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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