NumPy | remainder method
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Numpy's remainder(~)
method computes the remainder element-wise given two arrays. Numpy's mod(~)
method is equivalent to this method.
Opt to use the %
operator instead
If you don't need the 3rd and 4th parameters of this method, simply multiply two arrays using the %
operator - you'll enjoy a performance boost.
Parameters
1. x1
| array_like
The values that will be dividend.
2. x2
| array_like
The values to divide by.
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 behaviour is slightly different - the original value will be kept intact.
Return value
A scalar is returned if x1
and x2
are scalars, otherwise a Numpy array is returned.
Examples
A common divisor
x = [5, 8]np.remainder(x, 2)
array([1, 0])
Element-wise division
x = [5, 8]np.remainder(x, [2,3])
array([1, 2])
Here, we're simply performing 5%2=1
and 8%3=2
.