extracts 0.1.0a0

Load tables, figures, and text manually extracted from published journal articles.

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***