numpy.matlib.rand()

numpy.matlib.rand(*args) [source]

Return a matrix of random values with given shape.

Create a matrix of the given shape and propagate it with random samples from a uniform distribution over [0, 1).

Parameters:

Parameters:	*args : Arguments Shape of the output. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this tuple gives the complete shape.
Returns:	out : ndarray The matrix of random values with shape given by `*args`.

*args : Arguments

Shape of the output. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this tuple gives the complete shape.

Returns:

out : ndarray

The matrix of random values with shape given by *args.

Examples

>>> import numpy.matlib
>>> np.matlib.rand(2, 3)
matrix([[ 0.68340382,  0.67926887,  0.83271405],
        [ 0.00793551,  0.20468222,  0.95253525]])       #random
>>> np.matlib.rand((2, 3))
matrix([[ 0.84682055,  0.73626594,  0.11308016],
        [ 0.85429008,  0.3294825 ,  0.89139555]])       #random

If the first argument is a tuple, other arguments are ignored:

>>> np.matlib.rand((2, 3), 4)
matrix([[ 0.46898646,  0.15163588,  0.95188261],
        [ 0.59208621,  0.09561818,  0.00583606]])       #random

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.matlib.rand.html

doc_NumPy

2025-01-10 15:47:30

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