NumPy | absolute method
np.absolute(~) method returns a Numpy array with the absolute value applied to each of its value.
np.abs(~) is shorthand for
The input array.
Numpy array |
Instead of creating a new array, you can place the computed mean into the array specified by
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.
A Numpy array with the absolute value applied to each of its value.
To return a Numpy array with the absolute values of array
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.