Here is an example on how to parse an xml using lxml and xpaths:

from lxml import etree
namespaces = {'abc': "ABCDEFG.com"}
xmltree = etree.fromstring(xml_string)
items = xmltree.xpath('//abc:Alias/text()', namespaces=namespaces)

print items
Answer from heinst on Stack Overflow
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Pandas
pandas.pydata.org › docs › reference › api › pandas.read_xml.html
pandas.read_xml — pandas documentation - PyData |
... The XPath to parse required ... XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI....
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Pandas
pandas.pydata.org › pandas-docs › version › 1.4 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 1.4.4 documentation
XPath should return a collection of elements and not a single element. Note: The etree parser supports limited XPath expressions. For more complex XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI.
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Pandas
pandas.pydata.org › pandas-docs › version › 1.5 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 1.5.2 documentation
XPath should return a collection of elements and not a single element. Note: The etree parser supports limited XPath expressions. For more complex XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI.
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pandas
pandas.pydata.org › pandas-docs › dev › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 3.0.0.dev0+2339.g1af0a95e94 documentation
pandas.read_xml(path_or_buffer, *, xpath='./*', namespaces=None, elems_only=False, attrs_only=False, names=None, dtype=None, converters=None, parse_dates=None, encoding='utf-8', parser='lxml', stylesheet=None, iterparse=None, compression='infer', storage_options=None, dtype_backend=<no_default>)[source]#
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Pandas
pandas.pydata.org › pandas-docs › version › 2.0 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 2.0.3 documentation
XPath should return a collection of elements and not a single element. Note: The etree parser supports limited XPath expressions. For more complex XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI.
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pandas
pandas.pydata.org › pandas-docs › dev › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 3.0.0rc1+103.gaf9e3f0ca6 documentation
... The XPath to parse required ... XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI....
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Pandas
pandas.pydata.org › pandas-docs › stable › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 2.2.2 documentation - PyData |
pandas.read_xml(path_or_buffer, *, xpath='./*', namespaces=None, elems_only=False, attrs_only=False, names=None, dtype=None, converters=None, parse_dates=None, encoding='utf-8', parser='lxml', stylesheet=None, iterparse=None, compression='infer', storage_options=None, dtype_backend=<no_default>)[source]#
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PyPI
pypi.org › project › pandas-read-xml
pandas-read-xml
JavaScript is disabled in your browser. Please enable JavaScript to proceed · A required part of this site couldn’t load. This may be due to a browser extension, network issues, or browser settings. Please check your connection, disable any ad blockers, or try using a different browser
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Pandas
pandas.pydata.org › pandas-docs › version › 1.3 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 1.3.5 documentation
pandas.read_xml(path_or_buffer, xpath='./*', namespaces=None, elems_only=False, attrs_only=False, names=None, encoding='utf-8', parser='lxml', stylesheet=None, compression='infer', storage_options=None)[source]¶ · Read XML document into a DataFrame object. New in version 1.3.0.
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Pandas
pandas.pydata.org › pandas-docs › version › 1.5.0 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 1.5.0 documentation
XPath should return a collection of elements and not a single element. Note: The etree parser supports limited XPath expressions. For more complex XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI.
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Pandas
pandas.pydata.org › pandas-docs › version › 1.5.3 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 1.5.3 documentation
XPath should return a collection of elements and not a single element. Note: The etree parser supports limited XPath expressions. For more complex XPath, use lxml which requires installation. ... The namespaces defined in XML document as dicts with key being namespace prefix and value the URI.
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Pandas
pandas.pydata.org › docs › dev › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 3.0.0.dev0+2687.g00a7c41157 documentation
pandas.read_xml(path_or_buffer, *, xpath='./*', namespaces=None, elems_only=False, attrs_only=False, names=None, dtype=None, converters=None, parse_dates=None, encoding='utf-8', parser='lxml', stylesheet=None, iterparse=None, compression='infer', storage_options=None, dtype_backend=<no_default>)[source]#
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Like Geeks
likegeeks.com › home › python › pandas › parsing xml files into dataframes using pandas read_xml
Parsing XML Files into DataFrames using Pandas read_xml
October 16, 2023 - This code specifically extracts the product names using the product namespace prefix. The read_xml function provides the elems_only parameter to read only the element values, excluding any attributes.
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Pandas
pandas.pydata.org › docs › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 2.2.3 documentation
pandas.read_xml(path_or_buffer, *, xpath='./*', namespaces=None, elems_only=False, attrs_only=False, names=None, dtype=None, converters=None, parse_dates=None, encoding='utf-8', parser='lxml', stylesheet=None, iterparse=None, compression='infer', storage_options=None, dtype_backend=<no_default>)[source]#
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Pandas
pandas.pydata.org › pandas-docs › version › 2.1.0 › reference › api › pandas.read_xml.html
pandas.read_xml — pandas 2.1.0 documentation - PyData |
pandas.read_xml(path_or_buffer, *, xpath='./*', namespaces=None, elems_only=False, attrs_only=False, names=None, dtype=None, converters=None, parse_dates=None, encoding='utf-8', parser='lxml', stylesheet=None, iterparse=None, compression='infer', storage_options=None, dtype_backend=_NoDefault.no_default)[source]#
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Plus2Net
plus2net.com › python › pandas-read_xml.php
read_xml() Function: Read Data from XML Files into Pandas DataFrame
Use the xpath parameter with the namespace prefix (e.g., .//ns:Student) to target specific elements. ... The resulting DataFrame includes attributes (id, name, class) and text content (Passed or Failed).
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GitHub
github.com › pandas-dev › pandas › blob › main › pandas › io › xml.py
pandas/pandas/io/xml.py at main · pandas-dev/pandas
July 23, 2019 - migration to :class:`~pandas.DataFrame`. ``etree`` supports limited ``XPath``. · namespaces : dict · The namespaces defined in XML document (``xmlns:namespace='URI'``) as dicts with key being namespace and value the URI.
Author   pandas-dev
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GitHub
github.com › pandas-dev › pandas › issues › 63668
DOC: Documentation unclear on how to use read_xml() with xpath parameter and a default namespace · Issue #63668 · pandas-dev/pandas
January 13, 2026 - # If we want to use xpath with a xml document that has a default namespace, we need to: # - assign a temporary prefix to the default namespace URI, pass it in the namespaces param # - Update the XPath to use this temporary prefix df = pd.read_xml(StringIO(xml), xpath="//doc:row", namespaces={"doc": "http://example.com"}) ... DocsNeeds TriageIssue that has not been reviewed by a pandas team memberIssue that has not been reviewed by a pandas team member
Author   capelastegui