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Reproducible Example

from tempfile import NamedTemporaryFile import pandas as pd XML = ''' <issue>  <type>BUG</type>  <category>BUG</category> </issue> '''.encode('utf-8') with NamedTemporaryFile() as tempfile: tempfile.write(XML) tempfile.flush() df = pd.read_xml(tempfile.name, iterparse={'issue': ['type', 'category']}) assert df.iloc[0]['category'] == 'BUG' # works fine df = pd.read_xml(tempfile.name, iterparse={'issue': ['type', 'category']}, names=['type', 'cat']) assert df.iloc[0]['cat'] == 'BUG' # cat is never set because its value is duplicated with type

Issue Description

When using the names feature to rename columns, for some reason, if any value is duplicated with a previous value, it's completely ignored.

Note this issue is about a feature that is not released yet (planned for 1.5.0). #47414

Expected Behavior

type and cat should both get set to "BUG". Even though the value is duplicated, it's a separate piece of information in the xml.

Installed Versions

d43d6e2