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BUG: fillna maximum recursion depth exceeded in cmp #18159

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llchan opened this issue Nov 8, 2017 · 1 comment · Fixed by #18385 · May be fixed by reef-technologies/pandas#5
Closed

BUG: fillna maximum recursion depth exceeded in cmp #18159

llchan opened this issue Nov 8, 2017 · 1 comment · Fixed by #18385 · May be fixed by reef-technologies/pandas#5
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Bug Dtype Conversions Unexpected or buggy dtype conversions Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
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@llchan
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llchan commented Nov 8, 2017

Code Sample, a copy-pastable example if possible

import pandas as pd
import numpy as np

s = pd.Series([float('nan')])
t = s.fillna(2 ** 63)         # RuntimeError: maximum recursion depth exceeded in cmp
t = s.fillna(float(2 ** 63))  # works

Problem description

A fillna call with a large integer causes infinite recursion. Converting to a float before passing it in seems to fix it. Maybe the arg of fillna should be converted to the series dtype immediately?

Note that this bug only affects PY2, PY3 works just fine.

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 2.7.14.final.0
python-bits: 64
OS: Linux
OS-release: 3.x.x...x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: None.None

pandas: 0.21.0
pytest: 3.2.3
pip: 9.0.1
setuptools: 36.6.0
Cython: 0.27.3
numpy: 1.13.3
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 5.4.1
sphinx: None
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.1.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 0.999999999
sqlalchemy: 1.1.15
pymysql: None
psycopg2: 2.7.3.2 (dt dec pq3 ext)
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.5.0

@jreback
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jreback commented Nov 8, 2017

seems like a bug - if you could trace would be great

@jreback jreback added 2/3 Compat Dtype Conversions Unexpected or buggy dtype conversions Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate labels Nov 8, 2017
@jreback jreback added this to the Next Major Release milestone Nov 8, 2017
@jreback jreback added the Bug label Nov 8, 2017
@jreback jreback modified the milestones: Next Major Release, 0.21.1, 0.22.0 Dec 3, 2017
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Labels
Bug Dtype Conversions Unexpected or buggy dtype conversions Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
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