numpy.random.random — NumPy v1.11 Manual (original) (raw)
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 
(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), thenm * n * k samples are drawn. Default is None, in which case a single value is returned. |
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| 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()) <type 'float'> 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)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, -0.79479508], [-1.23204345, -1.75224494]])