SaltyShorttermCore created by acwoss - https://repl.it/@acwoss/SaltyShorttermCore

SaltyShorttermCore.py

data = [
    ['2017-01-01 00:02:54', '2017-01-01 00:08:21', '327', 'Larrabee St & Menomonee St', 'Sheffield Ave & Kingsbury St', 'Subscriber', 'Male', '1984.0'],
    ['2017-01-01 00:06:06', '2017-01-01 00:18:31', '745', 'Orleans St & Chestnut St (NEXT Apts)', 'Ashland Ave & Blackhawk St', 'Subscriber', 'Male', '1985.0'],
    ['2017-01-01 00:07:28', '2017-01-01 00:12:51', '323', 'Franklin St & Monroe St', 'Clinton St & Tilden St', 'Subscriber', 'Male', '1990.0'],
    ['2017-01-01 00:07:57', '2017-01-01 00:20:53', '776', 'Broadway & Barry Ave', 'Sedgwick St & North Ave', 'Subscriber', 'Male', '1990.0'],
    ['2017-01-01 00:10:44', '2017-01-01 00:21:27', '643', 'State St & Kinzie St', 'Wells St & Polk St', 'Subscriber', 'Male', '1970.0'],
    ['2017-01-01 00:11:34', '2017-01-01 00:23:47', '733', 'Wabash Ave & Wacker Pl', 'Clinton St & Tilden St', 'Subscriber', 'Male', '1986.0'],
    ['2017-01-01 00:14:57', '2017-01-01 00:26:22', '685', 'Daley Center Plaza', 'Canal St & Monroe St (*)', 'Customer', '', ''],
    ['2017-01-01 00:15:03', '2017-01-01 00:26:28', '685', 'Daley Center Plaza', 'Canal St & Monroe St (*)', 'Customer', '', ''],
    ['2017-01-01 00:17:01', '2017-01-01 00:29:49', '768', 'Dayton St & North Ave', 'Ogden Ave & Chicago Ave', 'Customer', '', ''],
    ['2017-01-01 00:17:13', '2017-01-01 11:03:34', '38781', 'Wilton Ave & Diversey Pkwy', 'Halsted St & Wrightwood Ave', 'Subscriber', 'Female', '1988.0'],
    ['2017-01-01 00:18:28', '2017-01-01 00:31:05', '757', 'Canal St & Madison St', 'LaSalle St & Illinois St', 'Customer', '', ''],
    ['2017-01-01 00:18:50', '2017-01-01 00:21:47', '177', 'Theater on the Lake', 'Lakeview Ave & Fullerton Pkwy', 'Subscriber', 'Male', '1991.0'],
    ['2017-01-01 00:23:41', '2017-01-01 00:29:13', '332', 'Halsted St & Maxwell St', 'Halsted St & 18th St', 'Subscriber', 'Male', '1984.0'],
    ['2017-01-01 00:25:47', '2017-01-01 00:39:53', '846', 'Ravenswood Ave & Lawrence Ave', 'Clarendon Ave & Gordon Ter', 'Subscriber', 'Female', '1987.0'],
    ['2017-01-01 00:25:47', '2017-01-01 00:43:23', '1056', 'Clark St & Congress Pkwy', 'Wolcott Ave & Polk St', 'Subscriber', 'Male', '1984.0'],
    ['2017-01-01 00:26:21', '2017-01-01 00:39:40', '799', 'Ravenswood Ave & Lawrence Ave', 'Clarendon Ave & Gordon Ter', 'Subscriber', 'Male', '1987.0'],
    ['2017-01-01 00:27:21', '2017-01-01 00:42:59', '938', 'Millennium Park', 'Michigan Ave & 18th St', 'Subscriber', 'Male', '1991.0'],
    ['2017-01-01 00:27:28', '2017-01-01 00:42:44', '916', 'Millennium Park', 'Michigan Ave & 18th St', 'Subscriber', 'Female', '1990.0'],
    ['2017-01-01 00:27:45', '2017-01-01 00:31:13', '208', 'Damen Ave & Chicago Ave', 'Damen Ave & Division St', 'Subscriber', 'Male', '1982.0'],
    ['2017-01-01 00:27:52', '2017-01-01 00:33:46', '354', 'Paulina Ave & North Ave', 'Damen Ave & Division St', 'Subscriber', 'Female', '1982.0']    
]

genres = (columns[6] for columns in data if columns[6])

for genre in genres:
    print(genre)