Parameters :
a: array_like input data with diagonal elements strong" k: [int, optional, 0 by default] Diagonal we require ; k" 0 means diagonal above main diagonal or vice versa.
Returns :
array with the array_like input as a diagonal to the new output array.
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Output:
diagflat use on main diagonal: [[1 0] [0 7]] diagflat use on main diagonal: [[1 0 0] [0 7 0] [0 0 6]] diagflat above main diagonal: [[0 1 0 0] [0 0 7 0] [0 0 0 6] [0 0 0 0]]
Notes:
These NumPy-Python programs will not work by onlineID, so run them on your systems to study them
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This article is provided by Mohit Gupta_OMG
