title: Converting a 2D Vector to a 1D Vector date: 2022-07-15 tags: #coding #vectors —

Converting a 2D Vector to a 1D Vector

Sometimes, when working with matrices or images, you may come across the need to convert a 2D vector to a 1D vector. In this blog post, we’ll explore a simple method to accomplish this conversion using Python.

Let’s assume we have a 2D vector represented as a nested list:

two_d_vector = [[1, 2, 3],
                [4, 5, 6],
                [7, 8, 9]]

We want to convert this into a 1D vector, which would be a flat list:

one_d_vector = [1, 2, 3, 4, 5, 6, 7, 8, 9]

Method

To convert the 2D vector to a 1D vector, we can use a simple list comprehension that flattens the nested lists. Here’s an example implementation:

def convert_to_one_d(two_d_vector):
    return [element for sublist in two_d_vector for element in sublist]

one_d_vector = convert_to_one_d(two_d_vector)
print(one_d_vector)

In the convert_to_one_d function, we iterate over each sublist in the 2D vector using the first loop, and for each element in the sublist, we append it to the output list using the second loop. The resulting list is returned as the 1D vector.

Conclusion

Converting a 2D vector to a 1D vector is straightforward in Python using list comprehension. By understanding this simple technique, you can easily handle transformations between different vector representations in your projects.

Remember, when working with 2D and 1D vectors, it’s essential to consider the shape and dimensionality of your data to ensure correct manipulations and computations.

#coding #vectors