numpy.divmod(x1, x2, [out1, out2, ]/, [out=(None, None), ]*, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature])=<ufunc'divmod'>
Return element-wise quotient and remainder simultaneously.
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:x1array_likeDividend array.
x2array_likeDivisor 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, optionalA 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.
wherearray_like, optionalThis 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.
**kwargsFor other keyword-only arguments, see the
.
Returns:out1ndarrayElement-wise quotient resulting from floor division. This is a scalar if both x1 and x2 are scalars.
out2ndarrayElement-wise remainder from floor division. This is a scalar if both x1 and x2 are scalars.
See also
Equivalent to Python’s // operator.
Equivalent to Python’s % operator.
Equivalent to divmod(x,1) for positive x with the return values switched.
Examples
>>> importnumpyasnp>>> np.divmod(np.arange(5),3)(array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))The
function can be used as a shorthand for np.divmod on ndarrays.
>>> x=np.arange(5)>>> divmod(x,3)(array([0, 0, 0, 1, 1]), array([0, 1, 2, 0, 1]))