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How to add a vector to a given Numpy array?
In this problem, we have to add a vector/array to a numpy array. We will define the numpy array as well as the vector and add them to get the result array
Algorithm
Step 1: Define a numpy array. Step 2: Define a vector. Step 3: Create a result array same as the original array. Step 4: Add vector to each row of the original array. Step 5: Print the result array.
Example Code
import numpy as np
original_array = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]])
print("Original Array: \n", original_array)
vector = np.array([1,1,0])
print("\nVector: ", vector)
result = np.empty_like(original_array)
for i in range(4):
result[i,:] = original_array[i,:] + vector
print("\nResult: \n", result)Output
Original Array: [[ 1 2 3] [ 4 5 6] [ 7 8 9] [10 11 12]] Vector: [1 1 0] Result: [[ 2 3 3] [ 5 6 6] [ 8 9 9] [11 12 12]]
Explanation
The statement result = np.empty_like(original_array) creates a empty array 'result' of the same dimensions as the original_array
Updated on: 16-Mar-2021
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