Performing element-wise addition in NumPy arrays

Python Pandas Numpy: Exercise-19 with Solution

Perform element-wise addition on two NumPy arrays.

Sample Solution:

Python Code:

import numpy as np

# Create two NumPy arrays
array1 = np.array([10, 20, 30, 40, 50])
array2 = np.array([100, 200, 300, 400, 500])

# Perform element-wise addition
result_array = array1 + array2

# Display the result


[110 220 330 440 550]


In the exerciser above,

  • Create two NumPy arrays, array1 and array2.
  • The array1 + array2 expression performs element-wise addition.
  • The result is stored in the result_array.
  • The print(result_array) statement displays the resulting array.

We can apply the same approach for arrays of any shape and dimension. The + operator will perform element-wise addition on corresponding elements of the arrays.


Flowchart: Performing element-wise addition in NumPy arrays.

Python Code Editor:

Previous: Removing duplicate rows in Pandas DataFrame.
Next: Calculating the dot product of NumPy arrays.

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