Return element-wise quotient and remainder simultaneously.
LAX-backend implementation of
divmod(). Original docstring below.
divmod(x1, x2[, out1, out2], / [, out=(None, None)], *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
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) – Dividend array.
x2 (array_like) – Divisor array. If
x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
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]))