## Program to find the sum of elements in Python

Sum ()

Given a list of numbers, find the total number of items.

Examples: Input: arr [] = {1, 2, 3,4}
output: 10  (1 + 2 + 3 + 4) = 10

Input: arr []
To find the total number of items in a blank list, you can use the total () function as shown below.

numpy.sum (a, axis = None, dtype = None, without = None, storage =, first =). Examples of numpy.sum () are provided.

### numpy.sum () in Python

Python numpy sum () function is used to find the sum of objects in addition to a given axis.

Numpy editing is a great addition to the Python list. Another important advantage of Numpy arrays is that they are fast, easy to work with, and give users the opportunity to perform calculations across all arrays.

Now take a look at how to find the sum of elements of an array in Python Programming using numpy.

Example 1:
Python code:
import numpy as np
a = np.array([10,10,2,3,4,5,6,7,8])
print(a)
sum = 0count = 0while count<=8:
sum = sum + a[count]
count = count+1print('sum of elements')
print(sum)
Output:
[10 10  2  3  4  5  6  7  8]
sum of elements

55

Example 2:

### Program to Plot elements of an array

Python code:
import numpy as np
from matplotlib import pyplot as plt
a = [1,2,3,4,5,6,7,8,9]
x = [9,8,7,6,5,4,3,2,1]
y = np.linspace(1,9,9)
plt.plot(a,y,'r*')
plt.plot(x,y,'bo')
plt.xlabel('element number')
plt.ylabel('element value')
plt.legend(['a','x'])
plt.title('graph of array')
plt.show()
Output:
 Plot elements of an array

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