NumPy | absolute method
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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.