`numpy.random:RandomState.random_sample`

Signature

def random_sample(size = None)

Summary

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

Extended Summary

Results are from the "continuous uniform" distribution over the stated interval. To sample $U ni f [a, b), b > a$ 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()

✗

0.3407844228015793

type(np.random.random_sample())

✓

<class 'float'>

np.random.random_sample((5,))

✗

array([0.86763179, 0.20634753, 0.12471324, 0.26134683, 0.16323849])

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

5 * np.random.random_sample((3, 2)) - 5

✗

array([[-3.32778385, -2.94402657],
       [-1.89393131, -1.36020083],
       [-2.09155673, -3.44408912]])

Aliases

numpy.random.random_sample
numpy.random.RandomState.random_sample