Why is my dummy list not updating in this loop?

Question

The issue I am having occurs in the for loop. I am tryin to move the values of bbox into the dummy list but the following seems to happen:

1. the first iteration occurs succesfully
2. on the following iterations, the values stored in bbox in the first iteration are kept the same, they are not updated.

please do let me know what I am doing wrong, and perhaps point me to some references I should read.

train_names = train_data["file_name"].to_numpy()
train_labels = train_data["label"].to_numpy()
train_x1 = train_data["x1"].to_numpy()
train_x2 = train_data["x2"].to_numpy()
train_y1 = train_data["y1"].to_numpy()
train_y2 = train_data["y2"].to_numpy()

index = 60000
bbox = [1, 2, 3, 4]
dummy = [0]*index

for n in range(index):
    bbox[0] = train_x1[n]
    bbox[1] = train_y1[n]
    bbox[2] = train_x2[n]
    bbox[3] = train_y2[n]
    dummy[n] = bbox
dummy

//Sample of the output provided below :D of course there is more but it is all the same :D

[[0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],
 [0.16, 0.21, 0.44, 0.49],