how can I merge a numpy array with a loop

I am trying to fulfill an array with the data from other two variables

my code is like:

import numpy as np

x1 = [200,50,125,275,350]
x2 = [475,575,700,700,575]

#array = np.array([[200,475],[50,575],[125,700],[275,700],[350,575]])
array = np.array(
                    for j in range(5):
                      #for i in range(2):
                        [x1[i],x2[i]]
                    )

thank you in advance

Expected Result array([[200,475],
[50,575],
[125,700],
[275,700],
[350,575]])

>Solution :

You can use zip then convert to list and use numpy.asarray to get as array Or you can use numpy.column_stack.

import numpy as np

x1 = [200,50,125,275,350]
x2 = [475,575,700,700,575]

res = np.asarray(list(zip(x1,x2)))

res_2 = np.column_stack((x1,x2))

>>> res
array([[200, 475],
       [ 50, 575],
       [125, 700],
       [275, 700],
       [350, 575]])

>>> res_2
array([[200, 475],
       [ 50, 575],
       [125, 700],
       [275, 700],
       [350, 575]])