Numpy's divmod(~) method returns the tuple (x//y, x%y) for each dividend x and divisor y in the input arrays. Here, // denotes integer division, while % denotes the standard Python modulo.

If you need both of these quantities, then use the divmod(~) method as it prevents redundant computations.

Parameters

1. x1 | array_like

The dividends.

2. x2 | array_like

The divisors.

3. out | Numpy array | optional

Instead of creating a new array, you can place the computed mean into the array specified by out.

4. where | array of boolean | optional

Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behavior is slightly different - the original value will be kept intact.

Return value

A tuple, (x//y, x%y), for each dividend x and divisor y in the input arrays