numpy.matlib.rand
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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
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*argsArguments
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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.
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- Returns
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outndarray
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The matrix of random values with shape given by
*args
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See also
Examples
>>> np.random.seed(123) >>> import numpy.matlib >>> np.matlib.rand(2, 3) matrix([[0.69646919, 0.28613933, 0.22685145], [0.55131477, 0.71946897, 0.42310646]]) >>> np.matlib.rand((2, 3)) matrix([[0.9807642 , 0.68482974, 0.4809319 ], [0.39211752, 0.34317802, 0.72904971]])
If the first argument is a tuple, other arguments are ignored:
>>> np.matlib.rand((2, 3), 4) matrix([[0.43857224, 0.0596779 , 0.39804426], [0.73799541, 0.18249173, 0.17545176]])
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https://numpy.org/doc/1.19/reference/generated/numpy.matlib.rand.html