extracts

extracts is a small Python helper for loading tables, figures, and text that have been manually extracted from published journal articles. Each dataset corresponds to a Zenodo deposit; files are downloaded and cached locally via Pooch.

The motivating use case is meta-analysis: papers report results in tables that are not always machine-readable. extracts collects those tables, hosts them on Zenodo, and exposes a small set of Python fetchers so the data can be pulled into a DataFrame in one call.

Install

pip install extracts

Quick example

import extracts

# Discover what's available
extracts.list_available_datasets()

['barrett2020',
 'cariola2010',
 'cariola2014',
 'hawkins2017',
 'liwc1999',
 'liwc2001',
 'liwc2007',
 'liwc2015',
 'liwc22',
 'mariani2023',
 'mcnamara2015',
 'meador2022',
 'niederhoffer2017',
 'paquet2020']

# Fetch a table from one of the datasets
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***

See the Datasets catalog for the full list, the Guide for caching/versioning details, and the API for the utility functions.