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