Question

所以我试图从csv文件中获取数据并将其拆分为多个元组，具体取决于数据所在的行。我已经使用以下代码成功地将csv文件中的所有数据转换为一个元组：

import csv
def load_data(filename):
    with open(filename) as f:
        data=[tuple(line) for line in csv.reader(f)]
    return data

运行此代码后

Output：

[（＆＃39; Slow Loris＆＃39;，＆＃39; 21.72＆＃39;，＆＃39; 29.3＆＃39;，＆＃39; 20.08＆＃39;，＆＃39; 29.98 ＆＃39;，＆＃39; 29.85＆＃39;，＆＃39; 26.22＆＃39;，＆＃39; 19.99＆＃39;，＆＃39; 27.78＆＃39;，＆＃39; 27.02＆＃39;，＆＃39; 22.44＆＃39;，＆＃39; 26.54＆＃39;，＆＃39; 26.46＆＃39;，＆＃39; 22.24＆＃39;，＆＃39; 27.72＆＃39;，＆＃39; 22.25＆＃39;，＆＃39; 28.52＆＃39;，＆＃39; 25.57＆＃39;，＆＃39; 22.44＆＃39;，＆＃39; 27.06＆＃39;，＆＃39; 24.24＆＃39;，＆＃39; 21.74＆＃39;，＆＃39; 26.72＆＃39;，＆＃39; 27.23＆＃39;，＆＃39; 21.48＆＃39;，＆＃39; 26.14＆＃39;，＆＃39; 21.09＆＃39;，＆＃39; 28.28＆＃39;，＆＃39; 29.05＆＃39;，＆＃39; 23.52＆＃39;，＆＃39; 24.74＆＃39;，＆＃39; 29.08＆＃39;，＆＃39; 21.57＆＃39;，＆＃39; 21.98＆＃39;，＆＃39; 26.66＆＃39;，＆＃39; 21.99＆＃39;，＆＃39; 20.91＆＃39;，＆＃39; 28.07＆＃39;，＆＃39; 26.06＆＃39;，＆＃39; 22.54＆＃39;，＆＃39; 25.9＆＃39;，＆＃39; 21.78＆＃39;，＆＃39; 25.96＆＃39;，＆＃39; 25.25＆＃39;，＆＃39; 28.08＆＃39;，＆＃39; 23.79＆＃39;，＆＃39; 29.99＆＃39;，＆＃39; 21.41＆＃39;，＆＃39; 21.67＆＃39;，＆＃39; 22.94＆＃39;，＆＃39; 29.68＆＃39;），（＆＃39; Ocelot＆＃39;，＆＃39; 57.51＆＃39;，＆＃39; 47.59＆＃39;，＆＃39; 55.89＆＃39;，＆＃39 ; 47.15＆＃39;，＆＃39; 46.71＆＃39;，＆＃39; 51.7＆＃39;，＆＃39; 46.68＆＃39;，＆＃39; 48.36＆＃39;，＆＃39 ; 52.15＆＃39;，＆＃39; 59.02＆＃39;，＆＃39; 45.1＆＃39;，＆＃39; 45.21＆＃39;，＆＃39; 51.13＆＃39;，＆＃39; 45.27＆＃39;，＆＃39; 57.24＆＃39;，＆＃39; 57.17＆＃39;，＆＃39; 49.47＆＃39;，＆＃39; 46.32＆＃39;，＆＃39; 42.47＆＃39;，＆＃39; 41.14＆＃39;，＆＃39; 46.86＆＃39;，＆＃39; 40.1＆＃39;，＆＃39; 58.67＆＃39;，＆＃39; 48.91＆＃39;，＆＃39; 48.21＆＃39;，＆＃39; 43.63＆＃39;，＆＃39; 43.11＆＃39;，＆＃39; 46.97＆＃39;，＆＃39; 52.07＆＃39;，＆＃39; 47.71＆＃39;，＆＃39; 53.27＆＃39;，＆＃39; 57.54＆＃39;，＆＃39; 56.19＆＃39;，＆＃39; 47.79＆＃39;，＆＃39; 45.32＆＃39;，＆＃39; 50.56＆＃39;，＆＃39; 51.23＆＃39;，＆＃39; 40.6＆＃39;，＆＃39; 48.03＆＃39;，＆＃39; 51.95＆＃39;，＆＃39; 54.54＆＃39;），（＆＃39; Tiger＆＃39;，＆＃39; 75.0＆＃39;，＆＃39; 82.43＆＃39;，＆＃39; 112.11＆＃39;，＆＃39 ; 89.93＆＃39;，＆＃39; 103.19＆＃39;，＆＃39; 80.6＆＃39;，＆＃39; 113.44＆＃39;，＆＃39; 105.44＆＃39;，＆＃39 ; 95.54＆＃39;，＆＃39; 121.98＆＃39;，＆＃39; 114.25＆＃39;，＆＃39; 109.84＆＃39;，＆＃39; 90.48＆＃39;，＆＃39 ; 105.84＆＃39;，＆＃39; 82.89＆＃39;，＆＃39; 113.64＆＃39;，＆＃39; 102.73＆＃39;，＆＃39; 104.57＆＃39;，＆＃39; 100.83＆＃39;，＆＃39; 75.59＆＃39;，＆＃39; 79.86＆＃39;，＆＃39; 91.11＆＃39;，＆＃39; 94.75＆＃39;，＆＃39; 109.89＆＃39;，＆＃39; 117.39＆＃39;，＆＃39; 74.71＆＃39;，＆＃39; 71.04＆＃39;，＆＃39; 92.97＆＃39;，＆＃39; 88.87＆＃39;，＆＃39; 92.95＆＃39;，＆＃39; 86.67＆＃39;，＆＃39; 101.46＆＃39;，＆＃39; 92.4＆＃39;，＆＃39; 85.2＆＃39;，＆＃39; 107.19＆＃39;，＆＃39; 117.81＆＃39;，＆＃39; 90.95＆＃39;，＆＃39; 82.02＆＃39;，＆＃39; 87.31＆＃39;，＆＃39; 106.53＆＃39;，＆＃39; 86.28＆＃39;，＆＃39; 106.62＆＃39;，＆＃39; 107.57＆＃39;，＆＃39; 89.38＆＃39;，＆＃39; 105.88＆＃39;，＆＃39; 74.45＆＃39;，＆＃39; 90.03＆＃39;，＆＃39; 107.96＆＃39;，＆＃39; 77.42＆＃39;，＆＃39; 98.9＆＃39 ;, ＆＃39; 109.81＆＃39;，＆＃39; 102.51＆＃39;，＆＃39; 116.71＆＃39;，＆＃39; 82.92＆＃39;，＆＃39; 81.78＆＃39;，＆＃39; 74.42＆＃39;，＆＃39; 76.27＆＃39;，＆＃39; 73.84＆＃39;，＆＃39; 75.55＆＃39;，＆＃39; 102.29＆＃39;，＆＃39; 108.1＆＃39;，＆＃39; 98.84＆＃39;，＆＃39; 101.48＆＃39;，＆＃39; 77.75＆＃39;，＆＃39; 98.57＆＃39;，＆＃39; 70.31＆＃39;，＆＃39; 78.28＆＃39;，＆＃39; 80.18＆＃39）]

我现在想知道的是我如何将其拆分为m ultiple tuples，其中字符串表示应该形成新的元组？

Answer 1

也许你想要的是：

import csv

def load_data(filename):
    with open(filename) as f:
        data = [(line[0], line[1:]) for line in csv.reader(f)]
    return data

给出了：

[('Slow Loris', [' 21.72', ' 29.3', ' 20.08', ' 29.98', ' 29.85', ' 26.22', ' 19.99',
                ' 27.78', ' 27.02', ' 22.44', ' 26.54', ' 26.46', ' 22.24', ' 27.72',
                ' 22.25', ' 28.52', ' 25.57', ' 22.44', ' 27.06', ' 24.24', ' 21.74',
                ' 26.72', ' 27.23', ' 21.48', ' 26.14', ' 21.09', ' 28.28', ' 29.05',
                ' 23.52', ' 24.74', ' 29.08', ' 21.57', ' 21.98', ' 26.66', ' 21.99',
                ' 20.91', ' 28.07', ' 26.06', ' 22.54', ' 25.9', ' 21.78', ' 25.96',
                ' 25.25', ' 28.08', ' 23.79', ' 29.99', ' 21.41', ' 21.67', ' 22.94', ' 29.68']),
  ('Ocelot', [' 57.51', ' 47.59', ' 55.89', ' 47.15', ' 46.71', ' 51.7', ' 46.68',
             ' 48.36', ' 52.15', ' 59.02', ' 45.1', ' 45.21', ' 51.13', ' 45.27',
             ' 57.24', ' 57.17', ' 49.47', ' 46.32', ' 42.47', ' 41.14', ' 46.86',
             ' 40.1', ' 58.67', ' 48.91', ' 48.21', ' 43.63', ' 43.11', ' 46.97',
             ' 52.07', ' 47.71', ' 53.27', ' 57.54', ' 56.19', ' 47.79', ' 45.32',
             ' 50.56', ' 51.23', ' 40.6', ' 48.03', ' 51.95', ' 54.54']),
  ('Tiger', [' 75.0', ' 82.43', ' 112.11', ' 89.93', ' 103.19', ' 80.6', ' 113.44',
            ' 105.44', ' 95.54', ' 121.98', ' 114.25', ' 109.84', ' 90.48', ' 105.84',
            ' 82.89', ' 113.64', ' 102.73', ' 104.57', ' 100.83', ' 75.59', ' 79.86',
            ' 91.11', ' 94.75', ' 109.89', ' 117.39', ' 74.71', ' 71.04', ' 92.97',
            ' 88.87', ' 92.95', ' 86.67', ' 101.46', ' 92.4', ' 85.2', ' 107.19',
            ' 117.81', ' 90.95', ' 82.02', ' 87.31', ' 106.53', ' 86.28', ' 106.62',
            ' 107.57', ' 89.38', ' 105.88', ' 74.45', ' 90.03', ' 107.96', ' 77.42',
            ' 98.9', ' 109.81', ' 102.51', ' 116.71', ' 82.92', ' 81.78', ' 74.42',
            ' 76.27', ' 73.84', ' 75.55', ' 102.29', ' 108.1', ' 98.84', ' 101.48',
            ' 77.75', ' 98.57', ' 70.31', ' 78.28', ' 80.18'])]

Answer 2

假设您的目标是将元组值与其标签字符串分开，您可以使用字典，将标签字符串存储为键。

鉴于ListView是您提供的列表，此

会给你一个包含

的字典

d = {t[0]: t[1:] for t in l}

然后，您可以通过迭代其键或值或两者来访问值元组

{'Tiger': (' 75.0', ' 82.43', ' 112.11', ' 89.93', ' 103.19', ' 80.6', ' 113.44', ' 105.44', ' 95.54', ' 121.98', ' 114.25', ' 109.84', ' 90.48', ' 105.84', ' 82.89', ' 113.64', ' 102.73', ' 104.57', ' 100.83', ' 75.59', ' 79.86', ' 91.11', ' 94.75', ' 109.89', ' 117.39', ' 74.71', ' 71.04', ' 92.97', ' 88.87', ' 92.95', ' 86.67', ' 101.46', ' 92.4', ' 85.2', ' 107.19', ' 117.81', ' 90.95', ' 82.02', ' 87.31', ' 106.53', ' 86.28', ' 106.62', ' 107.57', ' 89.38', ' 105.88', ' 74.45', ' 90.03', ' 107.96', ' 77.42', ' 98.9', ' 109.81', ' 102.51', ' 116.71', ' 82.92', ' 81.78', ' 74.42', ' 76.27', ' 73.84', ' 75.55', ' 102.29', ' 108.1', ' 98.84', ' 101.48', ' 77.75', ' 98.57', ' 70.31', ' 78.28', ' 80.18'),
'Slow Loris': (' 21.72', ' 29.3', ' 20.08', ' 29.98', ' 29.85', ' 26.22', ' 19.99', ' 27.78', ' 27.02', ' 22.44', ' 26.54', ' 26.46', ' 22.24', ' 27.72', ' 22.25', ' 28.52', ' 25.57', ' 22.44', ' 27.06', ' 24.24', ' 21.74', ' 26.72', ' 27.23', ' 21.48', ' 26.14', ' 21.09', ' 28.28', ' 29.05', ' 23.52', ' 24.74', ' 29.08', ' 21.57', ' 21.98', ' 26.66', ' 21.99', ' 20.91', ' 28.07', ' 26.06', ' 22.54', ' 25.9', ' 21.78', ' 25.96', ' 25.25', ' 28.08', ' 23.79', ' 29.99', ' 21.41', ' 21.67', ' 22.94', ' 29.68'), 'Ocelot': (' 57.51', ' 47.59', ' 55.89', ' 47.15', ' 46.71', ' 51.7', ' 46.68', ' 48.36', ' 52.15', ' 59.02', ' 45.1', ' 45.21', ' 51.13', ' 45.27', ' 57.24', ' 57.17', ' 49.47', ' 46.32', ' 42.47', ' 41.14', ' 46.86', ' 40.1', ' 58.67', ' 48.91', ' 48.21', ' 43.63', ' 43.11', ' 46.97', ' 52.07', ' 47.71', ' 53.27', ' 57.54', ' 56.19', ' 47.79', ' 45.32', ' 50.56', ' 51.23', ' 40.6', ' 48.03', ' 51.95', ' 54.54')}

如何使用python将单个元组拆分为多个元组？

2 个答案: