# numpy.gcd

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

  Returns the greatest common divisor 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 greatest common divisor of the absolute value of the inputs This is a scalar if both x1 and x2 are scalars.

  See also

  `lcm`

    The lowest common multiple

  Examples

      >>> np.gcd(12, 20)
      4
      >>> np.gcd.reduce([15, 25, 35])
      5
      >>> np.gcd(np.arange(6), 20)
      array([20,  1,  2,  1,  4,  5])