Add SUM of values of two LISTS into new LIST

Question

I have the following two lists:

first = [1,2,3,4,5]
second = [6,7,8,9,10]

Now I want to add the items from both of these lists into a new list.

output should be

third = [7,9,11,13,15]

Answer 1

In this question your code gets two lists of molecular weights.

Print:

The second lowest molecular weight for each list (2 numbers) The average molecular weight for the two lists together (single number) Make a new list that includes all the elements from both lists, except for the maximum and minimum values (all values from the two list except 2 values). Then sort this list and print it.

Note: the number of elements in each list is not fixed.

Variables names: mws1, mws2 You may define additional variables in your code if needed. See example of the output.

An example for the output (mws1 = [71, 88, 90], mws2 = [77, 5, 24, 65]): Second lowest of first list: 88 Second lowest of second list: 24 Average of merged lists: 60.0 Sorted values from both lists, excluding extreme values: [24, 65, 71, 77, 88]

Another example for the output (num = mws1 = [26, 34, 14, 66, 78], mws2 = [98, 15, 88]): Second lowest of first list: 26 Second lowest of second list: 88 Average of merged lists: 52.375 Sorted values from both lists, excluding extreme values: [15, 26, 34, 66, 78, 88]

Another example for the output (mws1 = [10, 53, 70, 1], mws2 = [22, 27]): Second lowest of first list: 10 Second lowest of second list: 27 Average of merged lists: 30.5 Sorted values from both lists, excluding extreme values: [10, 22, 27, 53]

Answer 2

first = [1,2,3,4,5]
second = [6,7,8,9,10]
third=[]
for i,j in zip(first,second):
    t=i+j
    third.append(t)
print("Third List=",third)

output -- Third List= [7, 9, 11, 13, 15]

Answer 3

Default behavior in numpy.add (numpy.subtract, etc) is element-wise:

import numpy as np
np.add(first, second)

which outputs

array([7,9,11,13,15])

Answer 4

first = [1, 2, 3, 4, 5]
second = [6, 7, 8, 9, 10]
three = list(map(sum, first, second))
print(three)



# Output 
[7, 9, 11, 13, 15]

Answer 5

What if you have list with different length, then you can try something like this (using zip_longest)

from itertools import zip_longest  # izip_longest for python2.x

l1 = [1, 2, 3]
l2 = [4, 5, 6, 7]

>>> list(map(sum, zip_longest(l1, l2, fillvalue=0)))
[5, 7, 9, 7]

Answer 6

one-liner solution

list(map(lambda x,y: x+y, a,b))

Answer 7

If you have an unknown number of lists of the same length, you can use the below function.

Here the *args accepts a variable number of list arguments (but only sums the same number of elements in each). The * is used again to unpack the elements in each of the lists.

def sum_lists(*args):
    return list(map(sum, zip(*args)))

a = [1,2,3]
b = [1,2,3]  

sum_lists(a,b)

Output:

[2, 4, 6]

Or with 3 lists

sum_lists([5,5,5,5,5], [10,10,10,10,10], [4,4,4,4,4])

Output:

[19, 19, 19, 19, 19]

Answer 8

If you consider your lists as numpy array, then you need to easily sum them:

import numpy as np

third = np.array(first) + np.array(second)

print third

[7, 9, 11, 13, 15]

Answer 9

From docs

import operator
list(map(operator.add, first,second))

Answer 10

Perhaps the simplest approach:

first = [1,2,3,4,5]
second = [6,7,8,9,10]
three=[]

for i in range(0,5):
    three.append(first[i]+second[i])

print(three)

Answer 11

j = min(len(l1), len(l2))
l3 = [l1[i]+l2[i] for i in range(j)]

Answer 12

Assuming both lists a and b have same length, you do not need zip, numpy or anything else.

Python 2.x and 3.x:

[a[i]+b[i] for i in range(len(a))]

Answer 13

Here is another way to do it.It is working fine for me .

N=int(input())
num1 = list(map(int, input().split()))
num2 = list(map(int, input().split()))
sum=[]

for i in range(0,N):
  sum.append(num1[i]+num2[i])

for element in sum:
  print(element, end=" ")

print("")

Answer 14

    first = [1,2,3,4,5]
    second = [6,7,8,9,10]
    #one way
    third = [x + y for x, y in zip(first, second)]
    print("third" , third) 
    #otherway
    fourth = []
    for i,j in zip(first,second):
        global fourth
        fourth.append(i + j)
    print("fourth" , fourth )
#third [7, 9, 11, 13, 15]
#fourth [7, 9, 11, 13, 15]

Answer 15

If you want to add also the rest of the values in the lists you can use this (this is working in Python3.5)

def addVectors(v1, v2):
    sum = [x + y for x, y in zip(v1, v2)]
    if not len(v1) >= len(v2):
        sum += v2[len(v1):]
    else:
        sum += v1[len(v2):]

    return sum


#for testing 
if __name__=='__main__':
    a = [1, 2]
    b = [1, 2, 3, 4]
    print(a)
    print(b)
    print(addVectors(a,b))

Answer 16

Here is another way to do it. We make use of the internal __add__ function of python:

class SumList(object):
    def __init__(self, this_list):
        self.mylist = this_list

    def __add__(self, other):
        new_list = []
        zipped_list = zip(self.mylist, other.mylist)
        for item in zipped_list:
            new_list.append(item[0] + item[1])
        return SumList(new_list)

    def __repr__(self):
        return str(self.mylist)

list1 = SumList([1,2,3,4,5])
list2 = SumList([10,20,30,40,50])
sum_list1_list2 = list1 + list2
print(sum_list1_list2)

Output

[11, 22, 33, 44, 55]

Answer 17

The zip function is useful here, used with a list comprehension.

[x + y for x, y in zip(first, second)]

If you have a list of lists (instead of just two lists):

lists_of_lists = [[1, 2, 3], [4, 5, 6]]
[sum(x) for x in zip(*lists_of_lists)]
# -> [5, 7, 9]

Answer 18

Try the following code:

first = [1, 2, 3, 4]
second = [2, 3, 4, 5]
third = map(sum, zip(first, second))

Answer 19

My answer is repeated with Thiru's that answered it in Mar 17 at 9:25.

It was simpler and quicker, here are his solutions:

The easy way and fast way to do this is:

 three = [sum(i) for i in zip(first,second)] # [7,9,11,13,15]

Alternatively, you can use numpy sum:

 from numpy import sum
 three = sum([first,second], axis=0) # array([7,9,11,13,15])

---

You need numpy!

numpy array could do some operation like vectors

import numpy as np
a = [1,2,3,4,5]
b = [6,7,8,9,10]
c = list(np.array(a) + np.array(b))
print c
# [7, 9, 11, 13, 15]

Answer 20

The easy way and fast way to do this is:

three = [sum(i) for i in zip(first,second)] # [7,9,11,13,15]

Alternatively, you can use numpy sum:

from numpy import sum
three = sum([first,second], axis=0) # array([7,9,11,13,15])

Answer 21

This extends itself to any number of lists:

[sum(sublist) for sublist in itertools.izip(*myListOfLists)]

In your case, myListOfLists would be [first, second]

Answer 22

You can use this method but it will work only if both the list are of the same size:

first = [1, 2, 3, 4, 5]
second = [6, 7, 8, 9, 10]
third = []

a = len(first)
b = int(0)
while True:
    x = first[b]
    y = second[b]
    ans = x + y
    third.append(ans)
    b = b + 1
    if b == a:
        break

print third

Answer 23

You can use zip(), which will "interleave" the two arrays together, and then map(), which will apply a function to each element in an iterable:

>>> a = [1,2,3,4,5]
>>> b = [6,7,8,9,10]
>>> zip(a, b)
[(1, 6), (2, 7), (3, 8), (4, 9), (5, 10)]
>>> map(lambda x: x[0] + x[1], zip(a, b))
[7, 9, 11, 13, 15]