Matplotlib Performance Optimization: Replacing np.column_stack with np.vstack().T for Better Array Handling

When replacing np.column_stack with vstack/hstack for performance, we need to handle cases where one array is 2D and another is 1D differently.

For cases like: np.column_stack([c, np.ones(len(c))]) where c is (19, 3) The correct replacement is: np.hstack([c, np.ones(len(c)).reshape(-1, 1)])

For cases where all arrays are 1D: np.column_stack([a, b, c]) where all are 1D The correct replacement is: np.vstack([a, b, c]).T

This fixes the build error in colors.py where 1D arrays were bei

This PR addresses issue #31130 by replacing specific safe occurrences of np.column_stack with np.vstack().T for better performance.