使用 json_normalized 时，不断收到 json TypeError

Question

为什么我总是收到类型错误：字符串索引必须是整数？

代码是：

import pandas as pd
from pandas.io.json import json_normalize

data = json.dumps(result, indent=4)
FIELDS = ["address", "balance"]
df_norm = json_normalize(data["accounts"])

print(df_norm[FIELDS])

JSON 结构如下：

{
    "accounts": [
        {
            "address": "0x000000000000000000000000000000000000dead",
            "balance": "64714244635198"
        },
        {
            "address": "0x00000000af5a61acaf76190794e3fdf1289288a1",
            "balance": "29416569893502257"
        }
]

我以这篇文章为指导：https://medium.com/swlh/converting-nested-json-structures-to-pandas-dataframes-e8106c59976e

Answer 1

您可以使用record_path 参数。我使用的是熊猫 1.1.0 版：

df = pd.json_normalize(data, record_path=['accounts'])
print(df)

                                      address            balance
0  0x000000000000000000000000000000000000dead     64714244635198
1  0x00000000af5a61acaf76190794e3fdf1289288a1  29416569893502257