character_position = [['1', 1890, 1904, 486, 505, '8', 1905, 1916, 486, 507, '4', 1919, 1931, 486, 505, '1', 1935, 1947, 486, 505, '7', 1950, 1962, 486, 505, '2', 1965, 1976, 486, 505, '9', 1980, 1992, 486, 507, '6', 1995, 2007, 486, 505, '/', 2010, 2022, 484, 508, '4', 2025, 2037, 486, 505, '8', 2040, 2052, 486, 505, '3', 2057, 2067, 486, 507, '3', 2072, 2082, 486, 505, '0', 2085, 2097, 486, 507, '/', 2100, 2112, 484, 508, 'Q', 2115, 2127, 486, 507, '1', 2132, 2144, 486, 505, '7', 2147, 2157, 486, 505, '9', 2162, 2174, 486, 505, '/', 2175, 2189, 484, 508, 'C', 2190, 2204, 487, 505, '4', 2207, 2219, 486, 505, '1', 2241, 2253, 486, 505, '/', 2255, 2268, 484, 508, '1', 2271, 2285, 486, 507, '5', 2288, 2297, 486, 505], ['D', 2118, 2132, 519, 535, '.', 2138, 2144, 529, 534, '2', 2150, 2162, 516, 535, '0', 2165, 2177, 516, 535, '4', 2180, 2192, 516, 534, '7', 2196, 2208, 516, 534, '0', 2210, 2223, 514, 535, '1', 2226, 2238, 516, 534, '8', 2241, 2253, 514, 534, '2', 2256, 2267, 514, 535, '4', 2270, 2282, 516, 534, '0', 2285, 2298, 514, 535]]

column 1:  character, column 2 : left , column 3 : top, column 4 : right, column 5 : bottom.

import pandas as pd :
character= []
left_position = []
right_position = []
top_position=[]
bottom_position []
temp_df = pd.DataFrame({'character': position_char, 'left': left_position, 'top': top_position, 'right' : right_position,'bottom': bottom_position})
temp_df.to_csv('character_position.csv')

import csv
with open('list_characters.csv') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=',')
    for row in readCSV:
        content = list(row[i] for i in second_column)