numpy.matrix.all — NumPy v2.2 Manual (original) (raw)

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]])