将 json 数组更改为 2d 数组

Question

所以我有一个像这样的 Json 文件：

{"matches_details": [{"MatchID": "Liverpool-Manchester United", "Date": "17/12/2020", "Time": "16:00", "Score": "5-0", "Yellow cards": "2", "Red cards": "1", "State": "FT"}, {"MatchID": "Crystal Palace-Chelsea", "Date": "20/1/2021", "Time": "11:00", "Score": "10-0", "Yellow cards": "10", "Red cards": "20", "State": "HT"}]}

打印出所有数组的方法是：

f = open('datngu.json',)
    data = json.load(f)
    for i in data['matches_details']:
        print(i)

    f.close()

以及单张打印的方式：

print(data['matches_details']['MatchID'])

那么如何将其更改为具有 row,col 格式的二维数组，因为我需要将这些数据插入 pyqt5 qtTableWidgetItem UI

Answer 1

如果您想将其作为 pd.DataFrame() 使用，可以尝试以下操作：

import pandas as pd

values = {"matches_details": [{"MatchID": "Liverpool-Manchester United", "Date": "17/12/2020", "Time": "16:00", "Score": "5-0", "Yellow cards": "2", "Red cards": "1", "State": "FT"}, {"MatchID": "Crystal Palace-Chelsea", "Date": "20/1/2021", "Time": "11:00", "Score": "10-0", "Yellow cards": "10", "Red cards": "20", "State": "HT"}]}

df_table = pd.DataFrame(values['matches_details'])

如果您更喜欢它作为 numpy 二维数组，只需执行以下操作：

arr_2d = df_table.values

Answer 2

你可以尝试如下使用numpy：

m = np.zeros((len(match_details_json), 7))
for i, elem in enumerate(match_details_json):
    m[i,0] = elem['MatchID']
    m[i,1] = elem['Date']
    m[i,2] = elem['Time']
    m[i,3] = elem['Score']
    m[i,4] = elem['Yellow cards']
    m[i,5] = elem['Red cards']
    m[i,5] = elem['State']