Random sampling in numpy | ranf() function

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 :

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# Python program explaining
# numpy.random.ranf() function
  
# importing numpy
import numpy as geek
  
  
# output random float value
out_val = geek.random.ranf()
print ("Output random float value : ", out_val) 

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Output :

Output random float value :  0.0877051588430926

 

Code #2 :

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# Python program explaining
# numpy.random.ranf() function
  
# importing numpy
import numpy as geek
  
  
# output array
out_arr = geek.random.ranf(size =(2, 1))
print ("Output 2D Array filled with random floats : ", out_arr) 

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Output :

Output 2D Array filled with random floats :  [[ 0.14186407]
 [ 0.58068259]]

 
Code #3 :

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# Python program explaining
# numpy.random.ranf() function
  
# importing numpy
import numpy as geek
  
# output array
out_arr = geek.random.ranf((3, 3, 2))
print ("Output 3D Array filled with random floats : ", out_arr) 

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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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