numpy.matlib.rand() — this is another function to do matrix operations in numpy. Returns a matrix of random values from a uniform distribution over [0, 1) with a given shape.
Syntax: numpy.matlib.rand (* args)
* args: [Arguments] Shape of the output matrix. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this tuple gives the complete shape. If there are more than one argument and the first argument is a tuple then other arguments are ignored.
Return: The matrix of random values.
Code # 1:
Output matrix: [[0.37976085 0.68700838 0.83898103 0.72073804] [0.80577587 0.2508264 0.30179229 0.81376797] [0.70202528 0.17830863 0.61509844 0.27758369]]
Code # 2:
Output matrix: [ [0.56138247 0.97881105 0.53380995 0.27486091 0.1603695]]
Code # 3:
Output matrix: [[0.86770893 0.35628104 0.19744129] [0.90376689 0.58349554 0.9830152] [0.64711739 0.09531791 0.17555793] [0.66141287 0.09164568 0.28 818979] [0.92225364 0.56779388 0.58498534]]
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