One way to increase the length of a vector by utilizing another vector as a reference through vectorization is by using the repeat function in NumPy.
Suppose we have the following two vectors:
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5])
We want to increase the length of vector a to the same length as vector b by repeating its values. We can do this using the repeat function and the size difference between the two vectors:
a_expanded = np.repeat(a, len(b)//len(a)+1)
a_expanded = a_expanded[:len(b)]
# Output: array([1, 2, 3, 1, 2])
We divide the length of b by the length of a to determine how many times we need to repeat vector a, then we slice the array to match the length of vector b.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2023-06-22 04:02:33 +0000
Seen: 14 times
Last updated: Jun 22 '23
Is it possible for me to reduce the length of this excessively long chain of elif statements?
Do the vectors consisting of tuples with corresponding indices have the same length?
What is the method for directing autopep8 to eliminate line breaks?
What is the maximum sequence length for the transformer in Sentence-BERT?
Can text in SVG automatically wrap to fit within a specified line length?
What does the replacement length error mean when using the cor function for correlation in R?