Open
Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
# Unfortunately, `urllib.request.urlretrieve(..)` is producing a 403 response
# when I attempt to automate the file download. So, you will need to manually
# download and unzip the data file from the following URL:
#
# https://www.federalreserve.gov/econres/files/scf2019x.zip
#
import pandas as pd
# "./scf2019x" is the file that was extracted from "scf2019x.zip"
everything = pd.read_sas("./scf2019x", format = 'xport')
df = everything[['X3509']]
# Confirm that `0.0` never occurs
print(sum(df['X3509'] == 0.0))
# Demonstrate that `5.397605e-79` has several occurrences
df[df['X3509'] < 0.0001]Issue Description
(Note: issue was originally reported in #30051 )
Occasionally, pandas.read_sas(..) interprets some "zero values" as 5.397605e-79.
This issue can also be observed in the 2019 Survey of Consumer Finances when using pandas==1.5.2:
https://www.federalreserve.gov/econres/files/scf2019x.zip
After you unzip the file, you can recreate the issue as follows:
import pandas as pd
# "./scf2019x" is the file that was extracted from "scf2019x.zip"
everything = pd.read_sas("./scf2019x", format = 'xport')
df = everything[['X3509']]
# Confirm that `0.0` never occurs
print(sum(df['X3509'] == 0.0))
# Demonstrate that `5.397605e-79` has several occurrences
df[df['X3509'] < 0.0001]This produces the following output:
>>> df[df['X3509'] < 0.0001]
X3509
0 5.397605e-79
1 5.397605e-79
2 5.397605e-79
3 5.397605e-79
4 5.397605e-79
... ...
28865 5.397605e-79
28866 5.397605e-79
28867 5.397605e-79
28868 5.397605e-79
28869 5.397605e-79
[14252 rows x 1 columns]
According to the survey's documentation, these values were all intended to be equal to 0 .
Expected Behavior
These values should all be equal to 0.0 .
Installed Versions
INSTALLED VERSIONS
------------------
commit : 66e3805b8cabe977f40c05259cc3fcf7ead5687d
python : 3.8.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-136-generic
Version : #153-Ubuntu SMP Thu Nov 24 15:56:58 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.5
numpy : 1.24.1
pytz : 2022.7
dateutil : 2.8.2
pip : 20.0.2
setuptools : 44.0.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None