matrix.argmin(axis=None, out=None)[source]
Return the indices of the minimum values along an axis.
Parameters: | See `numpy.argmin` for complete descriptions. |
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See also
This is the same as ndarray.argmin
, but returns a matrix
object where ndarray.argmin
would return an ndarray
.
>>> 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