BUG: OverflowError on to_json with numbers larger than sys.maxsize · Issue #34395 · pandas-dev/pandas (original) (raw)

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Code Sample, a copy-pastable example

import sys from pandas.io.json import dumps

dumps(sys.maxsize) dumps(sys.maxsize + 1)

Problem description

The Pandas JSON dumper doesn't seem to handle number values larger than sys.maxsize (a word). I have a dataframe that I'm trying to write to_json, but it's failing with OverflowError: int too big to convert. There are some numbers larger than 9223372036854775807 in it.

Passing a default_handler doesn't help. It doesn't get called for the error.

dumps(sys.maxsize) '9223372036854775807' dumps(sys.maxsize + 1, default_handler=str) Traceback (most recent call last): File "", line 1, in OverflowError: int too big to convert

Expected Output

Python's built-in json module handles large numbers without issues.

import json json.dumps(sys.maxsize) '9223372036854775807' json.dumps(sys.maxsize+1) '9223372036854775808'

I expect Pandas to be able to output large numbers to JSON. An option to use the built-in json module instead of ujson would be fine.

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.8.3.final.0
python-bits : 64
OS : Linux
OS-release : 4.19.76-linuxkit
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.0.3
numpy : 1.18.2
pytz : 2019.3
dateutil : 2.8.1
pip : 20.1.1
setuptools : 46.4.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 0.16.0
pytables : None
pytest : None
pyxlsb : None
s3fs : 0.4.2
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None