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Random sampling in numpy | random_sample() function

Last Updated : 26 Feb, 2019
numpy.random.random_sample() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random floats in the half-open interval [0.0, 1.0).
Syntax : numpy.random.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.
Code #1 :
Output : 
Output random float value : 0.9211987310893188
  Code #2 :
Output : 
Output 2D Array filled with random floats : [[ 0.64325146 0.4699456 0.89895437]]
  Code #3 :
Output : 
Output 3D Array filled with random floats : [[[ 0.78245025]
 [ 0.77736746]]

 [[ 0.54389267]
 [ 0.18491758]]

 [[ 0.97428409]
 [ 0.73729256]]]
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