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

numpy.matrix.all — NumPy v2.3 Manual

method

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

Test whether all matrix elements along a given axis evaluate to True.

Parameters:

See `numpy.all` for complete descriptions

Notes

This is the same as ndarray.all, but it returns a matrix object.

Examples

>>> x = np.matrix(np.arange(12).reshape((3,4))); x
matrix([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]])
>>> y = x[0]; y
matrix([[0, 1, 2, 3]])
>>> (x == y)
matrix([[ True,  True,  True,  True],
        [False, False, False, False],
        [False, False, False, False]])
>>> (x == y).all()
False
>>> (x == y).all(0)
matrix([[False, False, False, False]])
>>> (x == y).all(1)
matrix([[ True],
        [False],
        [False]])

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