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
 x1array_like
Dividend array.
 x2array_like
Divisor array. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output). outndarray, 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.
 wherearray_like, optional
This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default
out=None
, locations within it where the condition is False will remain uninitialized. **kwargs
For other keywordonly arguments, see the ufunc docs.
 Returns
 out1ndarray
Elementwise quotient resulting from floor division. This is a scalar if both x1 and x2 are scalars.
 out2ndarray
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]))