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Random sampling in numpy | ranf() function

Last Updated : 26 Feb, 2019
numpy.random.ranf() 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.ranf(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 : 0.0877051588430926
  Code #2 :
Output : 
Output 2D Array filled with random floats : [[ 0.14186407]
 [ 0.58068259]]
  Code #3 :
Output : 
Output 3D Array filled with random floats : [[[ 0.11013584 0.67844746]
 [ 0.84691569 0.09467084]
 [ 0.69918864 0.12137178]]

 [[ 0.30629051 0.28301093]
 [ 0.1302665 0.2196221 ]
 [ 0.51555358 0.73191852]]

 [[ 0.72806359 0.66485275]
 [ 0.80654791 0.04947181]
 [ 0.06380535 0.99306064]]]
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