CSV 到特定 JSON 结构

Question

在将 CSV 文件转换为 Python 中特定格式的 JSON 文件时，我需要帮助。

我的 CSV 文件如下所示：

Player Name	Team	R1 Position	R1 Price	R1 Score	R2 Position	R2 Price	R2 Score
Player A	Team A	DEF	100000	10	DEF/MID	110000	11
Player B	Team B	RUC	200000	20	RUC/FWD	210000	21

格式正确的 JSON 文件代码如下：

{
    "Player A": {
        "Team": "Team A",
        "Position": {
            "1": "DEF",
            "2": "DEF/MID"
        },
        "Price": {
            "1": 100000,
            "2": 110000
        },
        "Score": {
            "1": 10,
            "2": 11
        }
    },
    "Player B": {
        "Team": "Team B",
        "Position": {
            "1": "RUC",
            "2": "RUC/FWD"
        },
        "Price": {
            "1": 200000,
            "2": 210000
        },
        "Score": {
            "1": 20,
            "2": 21
        }
    }
}

到目前为止，我当前的 Python 代码包含以下内容，但我坚持从这里到哪里去。我知道我需要将 CSV 的第一行作为标题，并且我需要以某种方式按位置、价格和分数对列进行分组。

import pandas as pd
df = pd.read_csv(r"file_name.csv")
df = df.fillna(0)
df = df.T
df.columns = df.iloc[0]
df = df[1:]
df.to_json(r"file_name.json", orient='columns')

我曾尝试查看和重现许多过去的 Stack Overflow 问题和解决方案，例如： Convert csv to JSON tree structure?

感谢您抽出宝贵时间帮助我！我真的很感激！

Answer 1

这里有几个例子。首先没有熊猫，其次是熊猫：-

import json
import pandas as pd
D = {}
FILE = 'players.csv'
with open(FILE) as csv:
    for i, line in enumerate(csv.readlines()):
        if i > 0:
            t = line.strip().split(',')
            k = t[0]
            D[k] = {}
            D[k]['Team'] = t[1].strip()
            D[k]['Position'] = {'1': t[2].strip(), '2': t[5].strip()}
            D[k]['Price'] = {'1': int(t[3]), '2': int(t[6])}
            D[k]['Score'] = {'1': int(t[4]), '2': int(t[7])}
print(json.dumps(D, indent=2))

df = pd.read_csv(FILE)
D = {}
for _, r in df.iterrows():
    k = r['Player Name']
    D[k] = {}
    D[k]['Team'] = r['Team'].strip()
    D[k]['Position'] = {
        '1': r['R1 Position'].strip(), '2': r['R2 Position'].strip()}
    D[k]['Price'] = {'1': r['R1 Price'], '2': r['R2 Price']}
    D[k]['Score'] = {'1': r['R1 Score'], '2': r['R2 Score']}
print(json.dumps(D, indent=2))