Hi@akhtar,
You can do this task using numpy module. For that first convert your column in an array as follows.
import numpy as np
b = np.array(column)
Now you can append your column with previous data.
new_data = np.append(arr=b, values=previous_data, axix=1/0)
Here axis=0 means row wise append and axis=1 means column wise append.