rank() for int64 gives NAN for most negative value · Issue #32859 · pandas-dev/pandas (original) (raw)

Code to recreate the issue

import pandas as pd import numpy as np s = pd.Series(np.array([np.inf, np.nan, -np.inf]).astype(np.int32)) print(s) print(s.rank()) s = pd.Series(np.array([np.inf, np.nan, -np.inf]).astype(np.int64)) print(s) print(s.rank()) s = pd.Series([-9223372036854775808, -9223372036854775808, -9223372036854775808], dtype=np.int64) print(s.rank())

0   -2147483648
1   -2147483648
2   -2147483648
dtype: int32
0    2.0
1    2.0
2    2.0
dtype: float64
0   -9223372036854775808
1   -9223372036854775808
2   -9223372036854775808
dtype: int64
0   NaN
1   NaN
2   NaN
dtype: float64
0   NaN
1   NaN
2   NaN
dtype: float64

Problem description

rank for np.int64 most negative value gives NaN as rank.
np.int32 works fine for similar case.

Expected Output

0   -2147483648
1   -2147483648
2   -2147483648
dtype: int32
0    2.0
1    2.0
2    2.0
dtype: float64
0   -9223372036854775808
1   -9223372036854775808
2   -9223372036854775808
dtype: int64
0   2.0
1   2.0
2   2.0
dtype: float64
0   2.0
1   2.0
2   2.0
dtype: float64

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.6.9.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None

pandas : 1.0.2
numpy : 1.17.3
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 41.6.0.post20191030
Cython : 0.29.13
pytest : 5.2.2
hypothesis : None
sphinx : 1.8.2
blosc : None
feather : None
xlsxwriter : 1.2.2
lxml.etree : 4.3.0
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.9.0
pandas_datareader: None
bs4 : 4.8.1
bottleneck : 1.2.1
fastparquet : 0.1.6
gcsfs : None
lxml.etree : 4.3.0
matplotlib : 3.1.1
numexpr : 2.7.0
odfpy : None
openpyxl : 2.5.12
pandas_gbq : None
pyarrow : 0.13.0
pytables : None
pytest : 5.2.2
pyxlsb : None
s3fs : None
scipy : 1.3.1
sqlalchemy : 1.3.10
tables : 3.6.1
tabulate : None
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.2.2
numba : 0.42.0