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# numpy.fmod

`numpy.``fmod`(x1, x2[, out]) = <ufunc 'fmod'>

  Return the element-wise remainder of division.

  This is the NumPy implementation of the C library function fmod, the remainder has the same sign as the dividend x1. It is equivalent to the Matlab(TM) `rem` function and should not be confused with the Python modulus operator `x1 % x2`.

  Parameters : | x1 : array_like Dividend. x2 : array_like Divisor.
  Returns : | y : array_like The remainder of the division of x1 by x2.

  See also

  `remainder`
    Equivalent to the Python `%` operator.

  `divide`

  Notes

  The result of the modulo operation for negative dividend and divisors is bound by conventions. For `fmod`, the sign of result is the sign of the dividend, while for `remainder` the sign of the result is the sign of the divisor. The `fmod` function is equivalent to the Matlab(TM) `rem` function.

  Examples

      >>> np.fmod([-3, -2, -1, 1, 2, 3], 2)
      array([-1,  0, -1,  1,  0,  1])
      >>> np.remainder([-3, -2, -1, 1, 2, 3], 2)
      array([1, 0, 1, 1, 0, 1])

      >>> np.fmod([5, 3], [2, 2.])
      array([ 1.,  1.])
      >>> a = np.arange(-3, 3).reshape(3, 2)
      >>> a
      array([[-3, -2],
             [-1,  0],
             [ 1,  2]])
      >>> np.fmod(a, [2,2])
      array([[-1,  0],
             [-1,  0],
             [ 1,  0]])