比较 Python 中的两个 json 并获得匹配

Question

我有两个字典

第一个

Livescore
{'dictA':{'Team_name': 'Turkey - Italy', 'First_team': 6.8, 'Draw': 4.0, 'Second_team': 1.53, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}
{'dictA':{'Team_name': 'Wales- Sweden', 'First_team': 3.5, 'Draw': 3.2, 'Second_team': 2.23, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}
{'dictA':{'Team_name': 'Spain - Georgia', 'First_team': 1.51, 'Draw': 4.2, 'Second_team': 6.6, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}
{'dictA':{'Team_name': 'Belgium - Russia', 'First_team': 1.67, 'Draw': 3.85, 'Second_team': 5.2, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}

第二个是

Flashscore
{'dictA':{'Team_name': 'England- Italy', 'First_team': 1.8, 'Draw': 3.0, 'Second_team': 1.53, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}
{'dictA':{'Team_name': 'Wales- Sweden', 'First_team': 3.5, 'Draw': 3.2, 'Second_team': 2.23, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}
{'dictA':{'Team_name': 'Spain - Georgia', 'First_team': 1.51, 'Draw': 4.2, 'Second_team': 6.6, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}
{'dictA':{'Team_name': 'Russia - Sweden', 'First_team': 1.67, 'Draw': 3.85, 'Second_team': 5.2, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}}

目的是获取比赛数据，例如，如果 England - Italy 同时出现在（Flashscore 和 Livescore）中，则获取此数据。

这对我来说很困难，阵容不匹配，我的意思是英格兰 - 意大利在 Flashscore 中处于 2 线，在 Livescore 中处于 4 线，当我尝试使用 if statement 时无法正确获取数据，因为行不匹配

for i in range(len(livescore)):
    if flashscore[i]["Team_name"] == livescore[i]["Team_name"]
    print(livescore[i]["Team_name"])

只需匹配名字 "Team_name"

Answer 1

您只需在两个列表中找到正确的项目即可。

for item in flashscore:
    for other in livescore:
        if item["Team_name"] == other["Team_name"]:
            print(item, other)

不过，这是非常低效的。更好的安排是为每个字典创建一个字典。

flashindex = {x["Team_name"]: x for x in flashscore}
liveindex = {x["Team_name"]: x for x in livescore}

现在可以轻松找到两者中的所有项目：

for item in liveindex.keys():
    if item in flashindex:
        print(flashindex[item], liveindex[item])

您可以做更多的变体，但希望这至少能让您朝着正确的方向开始。

Answer 2

一种方法是为 Livescore 和 Flashscore 建立团队名称集，然后获取两者的 intersection。

live_score_names = set(item['Team_name'] for item in live_score_items)
flash_score_names = set(item['Team_name'] for item in flash_score_items)
intersection_names = live_score_names.intersection(flash_score_names)

您现在可以根据需要过滤 live_score_items 和 flash_score_names 中的项目。您知道 intersection_names 中的名称存在于两者中。

Answer 3

你能否更改字典，使其包含如下内容：

'Teams':{'England','Turkey'}

设置比较有意义

Answer 4

def prepare_score_dict(sample_list):
    result = {}
    for item in sample_list:
        result[item.pop('Team_name')] = item
    return result

livescore_dict = prepare_score_dict(Livescore)
flashscore_dict = prepare_score_dict(Flashscore)

for key in livescore_dict.keys():
    if key in flashscore_dict.keys():
        print(key)

试一试。

Answer 5

Livescore = [
{'Team_name': 'Turkey - Italy', 'First_team': 6.8, 'Draw': 4.0, 'Second_team': 1.53, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Wales- Sweden', 'First_team': 3.5, 'Draw': 3.2, 'Second_team': 2.23, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Spain - Georgia', 'First_team': 1.51, 'Draw': 4.2, 'Second_team': 6.6, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Belgium - Russia', 'First_team': 1.67, 'Draw': 3.85, 'Second_team': 5.2, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}]

Flashscore = [
{'Team_name': 'England- Italy', 'First_team': 1.8, 'Draw': 3.0, 'Second_team': 1.53, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Wales- Sweden', 'First_team': 3.5, 'Draw': 3.2, 'Second_team': 2.23, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Spain - Georgia', 'First_team': 1.51, 'Draw': 4.2, 'Second_team': 6.6, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Russia - Sweden', 'First_team': 1.67, 'Draw': 3.85, 'Second_team': 5.2, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}]


    

    def get_match(data_1, data_2, line_name):
        data1_set = set(data1[line_name] for data1 in data_1)
        result_list = []
        for date2 in data_2:
            if date2[line_name] in data1_set:
                result_list.append(date2[line_name])
        return result_list

    print(get_match(Livescore, Flashscore, 'Team_name'))

Answer 6

如果您 pandas 可以尝试以下操作：

示例数据：

import pandas as pd

df_livescore = pd.DataFrame([{'Team_name': 'Turkey - Italy', 'First_team': 6.8, 'Draw': 4.0, 'Second_team': 1.53, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Wales - Sweden', 'First_team': 3.5, 'Draw': 3.2, 'Second_team': 2.23, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Spain - Georgia', 'First_team': 1.51, 'Draw': 4.2, 'Second_team': 6.6, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Belgium - Russia', 'First_team': 1.67, 'Draw': 3.85, 'Second_team': 5.2, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}])

df_flashscore = pd.DataFrame([{'Team_name': 'England- Italy', 'First_team': 1.8, 'Draw': 3.0, 'Second_team': 1.53, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Wales - Sweden', 'First_team': 3.5, 'Draw': 3.2, 'Second_team': 2.23, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Spain - Georgia', 'First_team': 1.51, 'Draw': 4.2, 'Second_team': 6.6, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'},
{'Team_name': 'Russia - Sweden', 'First_team': 1.67, 'Draw': 3.85, 'Second_team': 5.2, 'Country_name': 'EURO 2020', 'Liga': 'Test_liga'}])

代码：

df_livescore.merge(df_flashscore, on=['Team_name'])

输出：

#          Team_name  First_team_x  ...  Country_name_y     Liga_y
# 0   Wales - Sweden          3.50  ...       EURO 2020  Test_liga
# 1  Spain - Georgia          1.51  ...       EURO 2020  Test_liga
# [2 rows x 11 columns]

比较 Python 中的两个 json 并获得匹配

Compare Two json in Python and get match

python

dictionary

match

python-3.x