BUG: Bad error message on read_parquet() when wrong version of pyarrow is installed #33313
Description
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I have confirmed this bug exists on the latest version of pandas.
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Code Sample, a copy-pastable example
With pyarrow<0.13 installed,
pd.read_parquet('some_file.parquet')Problem description
The error message says that pyarrow should be installed, even though pyarrow is already installed – which makes the error difficult to diagnose and fix, when in fact, the problem is an incompatible version of pyarrow.
File "[...]\lib\site-packages\pandas\io\parquet.py", line 33, in get_engine
"Unable to find a usable engine; "
ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.
pyarrow or fastparquet is required for parquet support
Expected Output
The message should state the real cause of the error, namely an incompatible version of pyarrow. Like:
File "[...]\lib\site-packages\pandas\io\parquet.py", line 40, in get_engine
return PyArrowImpl()
File "[...]\lib\site-packages\pandas\io\parquet.py", line 75, in __init__
"pyarrow", extra="pyarrow is required for parquet support."
File "[...]\lib\site-packages\pandas\compat\_optional.py", line 109, in import_optional_dependency
raise ImportError(msg)
ImportError: Pandas requires version '0.13.0' or newer of 'pyarrow' (version '0.11.1' currently installed).
This helpful error message does in fact get generated at a lower level in pandas.compat._optional.import_optional_dependency(), but then gets swallowed when its client pandas.io.parquet.get_engine(engine="auto") raises a new ImportError from scratch.
Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 61 Stepping 4, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : None.None
pandas : 1.0.3
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 46.1.3.post20200330
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
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : 0.11.1
pytables : None
pytest : None
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None