I am using Pandas through Jupyter Notebooks. I have 10 XML files which are stored in multiple locations. For example:
./A/1.xml
./A/2.xml
./A/3.xml
./B/4.xml
./B/5.xml
./B/6.xml
How can I load all of these files so that I can extract three particular elements in each file such as id, name and hypothesis?
I need help in the loading aspect of the question. FYI the path used above works if I do the following for each file:
from lxml import etree
ltree = etree.parse("./100/A/1.xml")
I would prefer a solution using BeautifulSoup however lxml or ElementTree is fine too.
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