This time we teach ourselves how to swap Numpy row vector to column vector.
To convert a row vector in Numpy to a column vector, you can use the reshape method. The reshape method allows you to reshape the array into a different shape. To convert a 1-dimensional row vector to a column vector, you can use reshape with the argument (-1, 1), which means to reshape the array into a 2-dimensional array with one row and one column. Here’s an example:
import numpy as np row_vector = np.array([1, 2, 3, 4, 5]) column_vector = row_vector.reshape(-1, 1) print("Row vector:", row_vector) print("Column vector:") print(column_vector)
This would output:
Row vector: [1 2 3 4 5] Column vector: [    ]