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 elementwise 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 builtin functiondivmod
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 freshlyallocated 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 keywordonly arguments, see the ufunc docs.
Returns:  out1 : ndarray
Elementwise quotient resulting from floor division. This is a scalar if both x1 and x2 are scalars.
 out2 : ndarray
Elementwise remainder from floor division. This is a scalar if both x1 and x2 are scalars.
See also
floor_divide
 Equivalent to Python’s
//
operator. remainder
 Equivalent to Python’s
%
operator. modf
 Equivalent to
divmod(x, 1)
for positivex
with the return values switched.
Examples
>>> np.divmod(np.arange(5), 3) (array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))