python - 将 pandas 数据帧导出到 JSON 时如何解决 OverflowError

Question

在 Jupyter 中，我有一个包含 400 000 个对象的数据框，我无法在不遇到以下错误的情况下将其完全导出到 JSON 文件。

只要我将导出限制为前 141 000 个对象，无论这些第一个对象的顺序如何，导出都很好。

我应该注意处理大型 JSON 文件的任何大小限制吗？ 谢谢。

OverflowError                             Traceback (most recent call last)
<ipython-input-254-b59373f1eeb2> in <module>
----> 1 df4.to_json('test.json', orient = 'records')

~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in to_json(self, path_or_buf, orient, date_format, double_precision, force_ascii, date_unit, default_handler, lines, compression, index)
   1889                             default_handler=default_handler,
   1890                             lines=lines, compression=compression,
-> 1891                             index=index)
   1892 
   1893     def to_hdf(self, path_or_buf, key, **kwargs):

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in to_json(path_or_buf, obj, orient, date_format, double_precision, force_ascii, date_unit, default_handler, lines, compression, index)
     56         double_precision=double_precision, ensure_ascii=force_ascii,
     57         date_unit=date_unit, default_handler=default_handler,
---> 58         index=index).write()
     59 
     60     if lines:

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in write(self)
     99         return self._write(self.obj, self.orient, self.double_precision,
    100                            self.ensure_ascii, self.date_unit,
--> 101                            self.date_format == 'iso', self.default_handler)
    102 
    103     def _write(self, obj, orient, double_precision, ensure_ascii,

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in _write(self, obj, orient, double_precision, ensure_ascii, date_unit, iso_dates, default_handler)
    154                                                double_precision,
    155                                                ensure_ascii, date_unit,
--> 156                                                iso_dates, default_handler)
    157 
    158 

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in _write(self, obj, orient, double_precision, ensure_ascii, date_unit, iso_dates, default_handler)
    110             date_unit=date_unit,
    111             iso_dates=iso_dates,
--> 112             default_handler=default_handler
    113         )
    114 

OverflowError: int too big to convert

Answer 1

试试下面的代码:

 df4.to_json('test.json',default_handler=str, orient = 'records')

default_handler 在对象无法以其他方式转换为适合 JSON 的格式时使用。

阅读documentation .