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 : Python3

# 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) 

  Code #2 : Python3

# 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) 

  Code #3 : Python3

# 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)