# 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, x2 array_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:
    y ndarray 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])