I'm trying to perform an element-wise addition between a 2D NumPy array and a 1D array (like adding a row vector to each row of a matrix), but I'm running into a broadcasting error. import numpy as np # Create a 2D array with shape (3, 4) matrix = np.array([ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ]) # Create a 1D array with shape (3,) – I intended this to be a row vector row_vector = np.array([1, 2, 3]) # Try to add the row vector to each row of the matrix result = matrix + row_vector When I run, I am getting following error: ValueError: operands could not be broadcast together with shapes (3,4) (3,) Any Ideas? I thought NumPy would automatically broadcast the 1D array across the rows, but it doesn’t work here. I tried reshaping the row_vector but not sure what the correct shape should be. Looked at the documentation on broadcasting, but still not fully clear. Continue reading...
