Error reading parquet from s3 with s3fs >= 0.3.0 · Issue #27756 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

import pandas as pd

df = pd.read_parquet('s3://my-bucket/df.parquet')

Raises

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/.../pandas/io/parquet.py", line 294, in read_parquet
    return impl.read(path, columns=columns, **kwargs)
  File "/.../pandas/io/parquet.py", line 192, in read
    parquet_file = self.api.ParquetFile(path, open_with=s3.s3.open)
AttributeError: 'S3File' object has no attribute 's3'

Problem description

In version 0.3.0 s3fs removed the S3File.s3 attribute. It is replaced by S3File.fs (which is inherited from fsspec.AbstractBufferedFile.fs.

Should pandas check the s3fs version and call the right attribute based on that?

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.7.3.final.0
python-bits : 64
OS : Darwin
OS-release : 18.6.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.25.0
numpy : 1.17.0
pytz : 2019.1
dateutil : 2.8.0
pip : 19.2.1
setuptools : 41.0.1
Cython : None
pytest : 4.4.1
hypothesis : None
sphinx : 2.1.2
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.8.3 (dt dec pq3 ext lo64)
jinja2 : 2.10.1
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : 0.3.1
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : 0.3.1
scipy : 1.3.0
sqlalchemy : 1.3.5
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None