numpy.lcm#

numpy.lcm(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'lcm'>#

Returns the lowest common multiple of |x1| and |x2|

Parameters

x1, x2array_like, int: Arrays of values. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).

Returns

yndarray or scalar: The lowest common multiple of the absolute value of the inputs This is a scalar if both x1 and x2 are scalars.

See also

gcd: The greatest common divisor

Examples

>>> np.lcm(12, 20)
60
>>> np.lcm.reduce([3, 12, 20])
60
>>> np.lcm.reduce([40, 12, 20])
120
>>> np.lcm(np.arange(6), 20)
array([ 0, 20, 20, 60, 20, 20])

numpy.spacing

numpy.gcd