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Showing content from https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.argmax.html below:

numpy.matrix.argmax — NumPy v2.3 Manual

method

matrix.argmax(axis=None, out=None)[source]#

Indexes of the maximum values along an axis.

Return the indexes of the first occurrences of the maximum values along the specified axis. If axis is None, the index is for the flattened matrix.

Parameters:

See `numpy.argmax` for complete descriptions

Notes

This is the same as ndarray.argmax, but returns a matrix object where ndarray.argmax would return an ndarray.

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.argmax()
11
>>> x.argmax(0)
matrix([[2, 2, 2, 2]])
>>> x.argmax(1)
matrix([[3],
        [3],
        [3]])

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