Python | Custom Index Range Summation

Development and sometimes machine learning applications require splitting lists into smaller list in a custom way, i.e on certain values on which split has to be performed and then summation. This is quite a useful utility to have knowledge about. Lets discuss certain ways in which this task can be performed.

Method #1 : Using list comprehension + zip() + sum()
By coupling the power of list comprehension and zip(), this task can be achieved. In this we zip beginning and end of list and then keep slicing the list as they arrive and cutting off new lists from them. The task of finding summation is performed using sum().

The original list is : [1, 4, 5, 6, 7, 3, 5, 9, 2, 4]
The original split index list : [2, 5, 7]
The splitted lists summation are : [5, 18, 8, 15]

Method #2 : Using itertools.chain() + zip() + sum()
The task performed by the list comprehension function of getting the split chunks can also be done using chain function. This is more useful when we wish to handle larger lists as this method is more efficient. The task of finding summation is performed using sum().

The original list is : [1, 4, 5, 6, 7, 3, 5, 9, 2, 4]
The original split index list : [2, 5, 7]
The splitted lists summation are : [5, 18, 8, 15]