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
import pandas as pd
xml = "<中文標籤><row><c1>1</c1><c2>2</c2></row></中文標籤>"
df = pd.read_xml(xml)Issue Description
XML includes chinese tag will throws lxml.etree.XMLSyntaxError,
because pandas.io.xml include the code:
self.xml_doc = XML(self._parse_doc(self.path_or_buffer))
_prase_doc use lxml parse xml file, then pass it into lxml.tostring to return bytes as following:
b'<中文標籤><row><c1>1</c1><c2>2</c2></row></中文標籤>'
then lxml.XML parse and report error.
Expected Behavior
parse chinese tag correct and rerurn correct df:
c1 c2
1 2
Installed Versions
Replace this line with the output of pd.show_versions()
INSTALLED VERSIONS
commit : 4bfe3d0
python : 3.10.4.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : AMD64 Family 23 Model 104 Stepping 1, AuthenticAMD
byteorder : little
LC_ALL : None
LANG : zh_TW
LOCALE : Chinese (Traditional)_Taiwan.950
pandas : 1.4.2
numpy : 1.22.3
pytz : 2022.1
dateutil : 2.8.2
pip : 22.1.2
setuptools : 58.1.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.8.0
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.1
IPython : 8.2.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : 1.0.9
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.5.1
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.8.0
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.8.10
xarray : None
xlrd : 2.0.1
xlwt : None
zstandard : None