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Gerber, Mike
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3 years ago | |
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| requirements-test.txt | 3 years ago | |
| requirements.txt | 3 years ago | |
| setup.py | 3 years ago | |
README.md
Extract the MODS metadata of a bunch of METS files into a pandas DataFrame.
Column names are derived from the corresponding MODS elements. Some domain knowledge is used to convert elements to a useful column, e.g. produce sets instead of ordered lists for topics, etc. Parts of the tool are specific to our environment/needs at the State Library Berlin and may need to be changed for your library.
Usage
modstool /path/to/a/directory/containing/mets_files
Example
In this example we convert the MODS metadata contained in the METS files in
/srv/data/digisam_mets-sample-300 to a pandas DataFrame under
mods_info_df.pkl. This file can then be read by your data scientist using
pd.read_pickle().
% modstool /srv/data/digisam_mets-sample-300
INFO:root:Scanning directory /srv/data/digisam_mets-sample-300
301it [00:00, 19579.19it/s]
INFO:root:Processing METS files
100%|████████████████████████████████████████| 301/301 [00:01<00:00, 162.59it/s]
INFO:root:Writing DataFrame to mods_info_df.pkl