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
divmodon NumPy arrays.
- x1 : array_like
- x2 : array_like
- 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.
For other keyword-only arguments, see the ufunc docs.
- out1 : ndarray
Element-wise quotient resulting from floor division. This is a scalar if both x1 and x2 are scalars.
- out2 : ndarray
Element-wise remainder from floor division. This is a scalar if both x1 and x2 are scalars.
>>> np.divmod(np.arange(5), 3) (array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))