[[[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0,-7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0,-7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]]]
I want to multiply all the numbers in this list using Python with a constant (say (-1)), but the list still has the original format. I was trying to do that with 3 'for' loops, but is there a short way I can do this? Thanks!!
The following code can multiply all of the numbers by a constant. For more advanced operations, you may want to look into np.vectorize
or np.apply
import numpy as np
nested_list = [[[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0,-7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0,-7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]], [[-7.0, -7.0], [-7.0, -7.0], [-7.0, -7.0]]]
numpy_list = np.array(nested_list)
negated_list = -1 * numpy_list