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)
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Parameters: |
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Returns: |
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See also
randn
, numpy.random.rand
>>> 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://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.matlib.rand.html