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# numpy.divmod

`numpy.``divmod`(x1, x2, [out1, out2, ]/, [out=(None, None), ]*, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'divmod'>

  Return element-wise quotient and remainder simultaneously.

  New in version 1.13.0.

  `np.divmod(x, y)` is equivalent to `(x // y, x % y)`, but faster because it avoids redundant work. It is used to implement the Python built-in function `divmod` on NumPy arrays.

  Parameters: | x1 : array_like Dividend array. x2 : array_like Divisor array. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs.
  Returns: | out1 : ndarray Element-wise quotient resulting from floor division. out2 : ndarray Element-wise remainder from floor division.

  See also

  `floor_divide`
    Equivalent to Python’s `//` operator.
  `remainder`
    Equivalent to Python’s `%` operator.
  `modf`
    Equivalent to `divmod(x, 1)` for positive `x` with the return values switched.

  Examples

      >>> np.divmod(np.arange(5), 3)
      (array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))