Best sex chat user names

and more than indexes I am concerned with the column names.import csv with open('C:/mypath/to/csvfile.csv', 'r') as f: d_reader = csv.

Dict Reader(f, delimiter=',') for row in reader: print([col '=' row[col] for col in reader.fieldnames]) col0,col1,col2,col3,col4,col5,col6,col7,col8,col9 00,01,02,03,04,05,06,07,08,09 10,11,12,13,14,15,16,17,18,19 20,21,22,23,24,25,26,27,28,29 30,31,32,33,34,35,36,37,38,39 40,41,42,43,44,45,46,47,48,49 50,51,52,53,54,55,56,57,58,59 60,61,62,63,64,65,66,67,68,69 70,71,72,73,74,75,76,77,78,79 80,81,82,83,84,85,86,87,88,89 90,91,92,93,94,95,96,97,98,99 ['col0=00', 'col1=01', 'col2=02', 'col3=03', 'col4=04', 'col5=05', 'col6=06', 'col7=07', 'col8=08', 'col9=09'] ['col0=10', 'col1=11', 'col2=12', 'col3=13', 'col4=14', 'col5=15', 'col6=16', 'col7=17', 'col8=18', 'col9=19'] ['col0=20', 'col1=21', 'col2=22', 'col3=23', 'col4=24', 'col5=25', 'col6=26', 'col7=27', 'col8=28', 'col9=29'] ['col0=30', 'col1=31', 'col2=32', 'col3=33', 'col4=34', 'col5=35', 'col6=36', 'col7=37', 'col8=38', 'col9=39'] ['col0=40', 'col1=41', 'col2=42', 'col3=43', 'col4=44', 'col5=45', 'col6=46', 'col7=47', 'col8=48', 'col9=49'] ['col0=50', 'col1=51', 'col2=52', 'col3=53', 'col4=54', 'col5=55', 'col6=56', 'col7=57', 'col8=58', 'col9=59'] ['col0=60', 'col1=61', 'col2=62', 'col3=63', 'col4=64', 'col5=65', 'col6=66', 'col7=67', 'col8=68', 'col9=69'] ['col0=70', 'col1=71', 'col2=72', 'col3=73', 'col4=74', 'col5=75', 'col6=76', 'col7=77', 'col8=78', 'col9=79'] ['col0=80', 'col1=81', 'col2=82', 'col3=83', 'col4=84', 'col5=85', 'col6=86', 'col7=87', 'col8=88', 'col9=89'] ['col0=90', 'col1=91', 'col2=92', 'col3=93', 'col4=94', 'col5=95', 'col6=96', 'col7=97', 'col8=98', 'col9=99'] Thanking Daniel Jimenez for his perfect solution to fetch column names alone from my csv, I extend his solution to use Dict Reader so we can iterate over the rows using column names as indexes.

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