使用 pandas column orient 转换为没有索引值的 JSON

Question

是否可以使用任何 Python 库函数将 json 写入没有索引值和嵌套的文件，例如pandas.DataFrame.to_json？我的数据框永远只有一行，解析它的系统无法处理索引值，并要求结构采用这种特定方式。

我想要达到的目标：

{"A":"D","B":"F","C":"G"}

代码示例：

import pandas as pd
data = [["D", "F", "G"]]

df = pd.DataFrame(data, columns = ["A", "B", "C"])
result = df.to_json(orient="columns")

with open("test.txt", "w") as f:
    f.write(result)

到目前为止尝试过：

df.to_json(orient="columns")
# {"A":{"0":"D"},"B":{"0":"F"},"C":{"0":"G"}}

df.to_json(orient="records")
# [{"A":"D","B":"F","C":"G"}]

df.to_json(orient="split")
# {"columns":["A","B","C"],"index":[0],"data":[["D","F","G"]]}

虽然我想要的看起来像 Python 字典，但我仍然想知道如何写入文件，并编写字典 {"A":"D","B":"F","C": "G"} 到文件抛出

TypeError: write() argument must be str, not dict

Answer 1

IIUC，因为你只有一行：

>>> df.iloc[0].to_json()
'{"A":"D","B":"F","C":"G"}'

写入文件：

with open("test.txt", "w") as f:
    f.write(df.iloc[0].to_json())