将 pandas DataFrame 写入 unicode 中的 JSON

我正在尝试将包含 unicode 的 pandas DataFrame 写入 json，但是内置的.to_json函数对字符进行转义。我该如何解决？

Example:

import pandas as pd
df = pd.DataFrame([['τ', 'a', 1], ['π', 'b', 2]])
df.to_json('df.json')

这给出：

{"0":{"0":"\u03c4","1":"\u03c0"},"1":{"0":"a","1":"b"},"2":{"0":1,"1":2}}

这与期望的结果不同：

{"0":{"0":"τ","1":"π"},"1":{"0":"a","1":"b"},"2":{"0":1,"1":2}}

import pandas as pd
df = pd.DataFrame([['τ', 'a', 1], ['π', 'b', 2]])
df.to_json('df.json', force_ascii=False)

但这会产生以下错误：

UnicodeEncodeError: 'charmap' codec can't encode character '\u03c4' in position 11: character maps to <undefined>

打开一个编码设置为 utf-8 的文件，然后将该文件传递给.to_json函数修复了问题：

with open('df.json', 'w', encoding='utf-8') as file:
    df.to_json(file, force_ascii=False)

给出正确的：

{"0":{"0":"τ","1":"π"},"1":{"0":"a","1":"b"},"2":{"0":1,"1":2}}

注意：它仍然需要force_ascii=False争论。