numpy.matrix.argmin
-
matrix.argmin(axis=None, out=None)
[source] -
Return the indices of the minimum values along an axis.
Parameters: See `numpy.argmin` for complete descriptions. See also
Notes
This is the same as
ndarray.argmin
, but returns amatrix
object wherendarray.argmin
would return anndarray
.Examples
>>> x = -np.matrix(np.arange(12).reshape((3,4))); x matrix([[ 0, -1, -2, -3], [ -4, -5, -6, -7], [ -8, -9, -10, -11]]) >>> x.argmin() 11 >>> x.argmin(0) matrix([[2, 2, 2, 2]]) >>> x.argmin(1) matrix([[3], [3], [3]])
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https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.matrix.argmin.html