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