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numpy.matlib.identity()
— another function to do matrix operations in numpy. Returns the square matrix of identity of the given input size.
Syntax: numpy.matlib.identity (n, dtype = None)
Parameters :
n: [int] Number of rows and columns in the output matrix.
dtype: [optional] Desired output data -type.Return: nxn matrix with its main diagonal set to one, and all other elements zero.
Code # 1:
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Output:
Output matrix: [[1. 0. 0.] [0 . 1. 0.] [0. 0. 1.]]
Code # 2:
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Output:
Output matrix: [[1 0 0 0 0] [0 1 0 0 0] [0 0 1 0 0] [0 0 0 1 0] [0 0 0 0 1]]
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Singapore | 2023-01-29
Simply put and clear. Thank you for sharing. matrix operations | identity function () and other issues with exp was always my weak point 😁. Will use it in my bachelor thesis
Shanghai | 2023-01-29
Simply put and clear. Thank you for sharing. matrix operations | identity function () and other issues with __main__ Python module was always my weak point 😁. Will get back tomorrow with feedback
California | 2023-01-29
I was preparing for my coding interview, thanks for clarifying this - matrix operations | identity function () in Python is not the simplest one. I am just not quite sure it is the best method