all(self, axis=None, out=None)

Notes

This is the same as :None:None:`ndarray.all`, but it returns a matrix object.

Parameters

See `numpy.all` for complete descriptions :

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

See Also

numpy.all

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]])

See :

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GitHub : /numpy/matrixlib/defmatrix.py#571
type: <class 'function'>
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