This release is a pre-release and may not be stable for production use.
extracts
Load tables, figures, and text manually extracted from published journal articles.
Documentation: https://remrama.github.io/extracts
Installation
pip install --upgrade extracts
Usage
>>> import extracts
>>> extracts.list_available_datasets()
['barrett2020', 'cariola2010', 'cariola2014', 'hawkins2017', 'liwc1999', 'liwc2001', 'liwc2007', 'liwc2015', 'liwc22', 'mariani2023', 'mcnamara2015', 'meador2022', 'niederhoffer2017', 'paquet2020']
>>> df = extracts.fetch_barrett2020("table1")
>>> df.head()
Pandemic M Pandemic SD Normative M Normative SD t p
LIWC category and content examples
Positive emotions: love, nice, sweet 1.11 1.82 1.48 1.52 4.64 <.0001***
Negative emotions: hurt, ugly, nasty 2.31 3.32 1.40 1.47 9.14 <.0001***
Anxiety: worried, fearful, nervous 0.76 2.20 0.46 0.74 5.05 <.0001***
Anger: hate, furious, annoyed 0.42 1.32 0.31 0.64 2.66 .0078**
Sadness: crying, grief, sad 0.46 1.37 0.27 0.63 4.55 <.0001***
1 maintainer
Metadata
1 maintainer
Release files for extracts 0.1.0a0
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| File | Size | Uploaded | Provenance | Actions |
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Total release size: 26.9 kB
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| Tags | Python 3 |
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