What is the best way to create an object from each element in a python (numpy) array?

I have an array of numbers:

num_arr = np.array([1,2,3,4,5,6,7])

I need to transform each number into an object:

class MyObj:
    def __init__(self, x):
        self.val = x

What would be the best way to do that? Is there a way to do it without using loops?

>Solution :

To map over a numpy array, there is np.vectorize

class MyObj:
    def __init__(self, x):
        self.val = x

num_arr = np.array([1,2,3,4,5,6,7])
vfunc = np.vectorize(MyObj)
result = vfunc(num_arr)

Edit:

vectorize is not for performance but for convenience

https://numpy.org/doc/stable/reference/generated/numpy.vectorize.html

The vectorize function is provided primarily for convenience, not for performance. The implementation is essentially a for loop.