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]])
