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numpy.diag(v, k=0)
[source] -
Extract a diagonal or construct a diagonal array.
See the more detailed documentation for
numpy.diagonal
if you use this function to extract a diagonal and wish to write to the resulting array; whether it returns a copy or a view depends on what version of numpy you are using.Parameters: v : array_like
If
v
is a 2-D array, return a copy of itsk
-th diagonal. Ifv
is a 1-D array, return a 2-D array withv
on thek
-th diagonal.k : int, optional
Diagonal in question. The default is 0. Use
k>0
for diagonals above the main diagonal, andk<0
for diagonals below the main diagonal.Returns: out : ndarray
The extracted diagonal or constructed diagonal array.
See also
Examples
>>> x = np.arange(9).reshape((3,3)) >>> x array([[0, 1, 2], [3, 4, 5], [6, 7, 8]])
>>> np.diag(x) array([0, 4, 8]) >>> np.diag(x, k=1) array([1, 5]) >>> np.diag(x, k=-1) array([3, 7])
>>> np.diag(np.diag(x)) array([[0, 0, 0], [0, 4, 0], [0, 0, 8]])
numpy.diag()
2017-01-10 18:13:38
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