迭代时将键添加到 int 的 defaultdict

Question

该脚本需要从 text/csv 文件读取输入，但是一旦我尝试实现该功能，一切都会中断。

这是我的代码：

from collections import defaultdict

#from csv import reader

data = """Lions 3, Snakes 3

Tarantulas 1, FC Awesome 0

Lions 1, FC Awesome 1

Tarantulas 3, Snakes 1

Lions 4, Grouches 0"""

# with open('sample_input.csv') as data:

#     csv = reader(data)

#     list_csv = [line.rstrip('\n') for line in data]

data_list = data.splitlines()

def splitter(row):

    left_team, right_team = row.split(',')

    return {

        'left': left_team[:-2].strip(),

        'left_score': int(left_team[-2:].strip()),

        'right': right_team[:-2].strip(),

        'right_score': int(right_team[-2:].strip())

    }

data_dicts = [splitter(row) for row in data_list]

team_scores = defaultdict(int)

for game in data_dicts:

    if game['left_score'] == game['right_score']:

        team_scores[game['left']] += 1

        team_scores[game['right']] += 1

    elif game ['left_score'] > game['right_score']:

        team_scores[game['left']] += 3

    else:

        team_scores[game['right']] += 3

    print(team_scores)

teams_sorted = sorted(team_scores.items(), key=lambda team: team[1], reverse=True)

# for line in teams_sorted:

#     print(line)

此外，我需要的预期输出是：

1. Tarantulas, 6 pts

2. Lions, 5 pts

3. FC Awesome, 1 pt

3. Snakes, 1 pt

4. Grouches, 0 pts

我似乎无法弄清楚如何到达这一步。我用打印语句检查了我的大部分代码，看起来字典工作正常，但它没有打印最后一支球队和它的分数（Grouches，0 分）。

我目前得到这个输出：

('Tarantulas', 6)

('Lions', 5)

('Snakes', 1)

('FC Awesome', 1)

任何帮助将不胜感激！

Answer 1

添加 CSV 时的代码中断。CSV 阅读器split(',')为您完成。所以你的left_team = row[0]和right_team = row[1]所以你的代码变成了类似的东西def spliter(row):    left_team, right_team = row    return {        'left': left_team[:-2].strip(),        'left_score': int(left_team[-2:].strip()),        'right': right_team[:-2].strip(),        'right_score': int(right_team[-2:].strip())    }with open('data.csv') as data_obj:    reader = csv.reader(data_obj)    data_dicts = [splitter(row) for row in reader]如果你想手动，你可以去纯文本阅读split(',')。with open('data.csv') as data_obj:    data_list = [line.rstrip('\n') for line in data_obj.readlines()]