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 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
//
operator.remainder
%
operator.modf
divmod(x, 1)
for positive x
with the return values switched.>>> np.divmod(np.arange(5), 3) (array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.divmod.html