NumPy | absolute method
Start your free 7-days trial now!
Numpy's np.absolute(~)
method returns a Numpy array with the absolute value applied to each of its value.
np.abs(~)
is shorthand for np.absolute(~)
Parameter
1. x
| array-like
The input array.
2. out
| Numpy array
| optional
Instead of creating a new array, you can place the computed mean into the array specified by out
.
3. 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 Numpy array with the absolute value applied to each of its value.
Examples
To return a Numpy array with the absolute values of array x
:
x = np.array([-1, 2, 3, -4])np.absolute(x)
array([1, 2, 3, 4])
Note that the source Numpy array is left intact, that is, x
in this example would still have negative values.