2018-04-25 numpy.random.random(size=None)

numpy.random.random(size=None)¶

Return random floats in the half-open interval [0.0, 1.0).

Results are from the “continuous uniform” distribution over the stated interval. To sample 

 multiply the output of random_sample by (b-a) and add a:

(b-a)*random_sample()+a

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.

Returns:out : float or ndarray of floats

Array of random floats of shape size (unless size=None, in which case a single float is returned).

Examples

>>> np.random.random_sample()0.47108547995356098>>> type(np.random.random_sample())>>> np.random.random_sample((5,))array([ 0.30220482,  0.86820401,  0.1654503 ,  0.11659149,  0.54323428])

Three-by-two array of random numbers from [-5, 0):

>>> 5*np.random.random_sample((3,2))-5array([[-3.99149989, -0.52338984],      [-2.99091858, -0.79479508],      [-1.23204345, -1.75224494]])