numpy.lcm — NumPy v2.2 Manual (original) (raw)

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

import numpy as np 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])