Cloning Row and Column Vectors in Python
In Python, cloning row or column vectors involves creating a duplicate copy of a one-dimensional array (vector) either horizontally (row) or vertically (column). Cloning vectors is important for preserving data integrity and avoiding unintended modifications to the original array. In this article, we will explore different approaches to clone row or column vectors in Python.
Cloning Row and Column Vectors In Python
Below are the possible approaches to clone row or column vectors in Python:
- Using List Slicing
- Using NumPy’s copy Function
Cloning Row and Column Vectors Using List Slicing
In this approach, we are using list slicing (originalVect[:]) to clone the original row vector, creating a new list with the same elements. Additionally, we use a list comprehension ([[x] for x in originalVect]) to create a cloned column vector by wrapping each element of the original vector in a sublist.
originalVect = [1, 2, 3, 4]
clonedRowVect = originalVect[:]
clonedColumnVect = [[x] for x in originalVect]
print("Original Row Vector:", originalVect)
print("Cloned Row Vector:", clonedRowVect)
print("Cloned Column Vector:")
for row in clonedColumnVect:
print(row)
Output
Original Row Vector: [1, 2, 3, 4] Cloned Row Vector: [1, 2, 3, 4] Cloned Column Vector: [1] [2] [3] [4]
Cloning Row and Column Vectors Using NumPy’s copy() Function
In this approach, we are using NumPy’s copy function to create a shallow copy of the original vector originalVect, resulting in the cloned row vector clonedRowVect. Additionally, for cloning a column vector, we use np.copy on the original vector with the [:, np.newaxis] indexing to add a new axis, creating the cloned column vector clonedColumnVect.
import numpy as np
originalVect = np.array([1, 2, 3, 4])
clonedRowVect = np.copy(originalVect)
clonedColumnVect = np.copy(originalVect[:, np.newaxis])
print("Original Row Vector:", originalVect)
print("Cloned Row Vector:", clonedRowVect)
print("Cloned Column Vector:")
print(clonedColumnVect)
Output
Original Row Vector: [1 2 3 4] Cloned Row Vector: [1 2 3 4] Cloned Column Vector: [[1] [2] [3] [4]]
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