I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
import pandas as pd XML =''' <values> <guidedSaleKey> <code>9023000918982</code> <externalReference>0102350511</externalReference> </guidedSaleKey> <store> <code>02300</code> <externalReference>1543</externalReference> <currency>EUR</currency> </store> </values> ''' df = pd.read_xml(XML,iterparse={"values":["code","code"]}, names=["guided_code","store_code"]) print(df)Issue Description
dataframe will not be able to return value of both code
elements from guidedSaleKey
and store
this will return this:
guided_code store_code
0 9023000918982 9023000918982
Expected Behavior
this should return a dataframe like this:
guided_code store_code
0 9023000918982 2300
Installed Versions INSTALLED VERSIONS
commit : 87cfe4e
python : 3.10.4.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-137-generic
Version : #154-Ubuntu SMP Thu Jan 5 17:03:22 UTC 2023
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 : 4.9.2
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
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