BUG: pd.read_xml does not support file like object when iterparse is used · Issue #50641 · pandas-dev/pandas (original) (raw)

Pandas version checks

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• I have confirmed this bug exists on the latest version of pandas.
• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

with open(file_, "r") as f: df = pd.read_xml( f, parser="etree", iterparse={root: list(elements)} )

Issue Description

the method read_xml with iterparse as parms is used to read large xml file, but it's restricted to read only files on local disk.
this design is not justified since that the module iterparse from xml.etree.Elements does allow this features (reading from a file like object)

if ( not isinstance(self.path_or_buffer, str) # -> condition that raise the Error or is_url(self.path_or_buffer) or is_fsspec_url(self.path_or_buffer) or self.path_or_buffer.startswith(("<?xml", "<")) or infer_compression(self.path_or_buffer, "infer") is not None ): raise ParserError( "iterparse is designed for large XML files that are fully extracted on " "local disk and not as compressed files or online sources." )

maybe something like this is better:

if isinstance(self.path_or_buffer,str) or hasattr(self.path_or_buffer, "read"): #do something else: raise ParserError(...)

Expected Behavior

this must return a dataframe reither than raise Exception

Installed Versions

INSTALLED VERSIONS

commit : 87cfe4e
python : 3.10.4.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 : 1.5.0
numpy : 1.23.4
pytz : 2022.5
dateutil : 2.8.2
setuptools : 58.1.0
pip : 22.0.4
Cython : None
pytest : 7.1.3
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
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy :
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None