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 :
# Python program explaining# numpy.random.ranf() function # importing numpyimport numpy as geek # output random float valueout_val = geek.random.ranf()print ("Output random float value : ", out_val) |
Output :
Output random float value : 0.0877051588430926
Code #2 :
# Python program explaining# numpy.random.ranf() function # importing numpyimport numpy as geek # output arrayout_arr = geek.random.ranf(size =(2, 1))print ("Output 2D Array filled with random floats : ", out_arr) |
Output :
Output 2D Array filled with random floats : [[ 0.14186407] [ 0.58068259]]
Code #3 :
# Python program explaining# numpy.random.ranf() function # importing numpyimport numpy as geek # output arrayout_arr = geek.random.ranf((3, 3, 2))print ("Output 3D Array filled with random floats : ", out_arr) |
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]]]
