Helper to convert SPARQLWrapper results to Pandas dataframes.
See this blog post for examples. You might also be interested in these related examples from Su Labs tutorial.
Directly from PyPi for Python 3.4+.
$ pip install sparql-dataframe
From Github. This should support Python 2.7 as well.
$ pip install git+https://github.com/lawlesst/sparql-dataframe.git
import sparql_dataframe
endpoint = "http://dbpedia.org/sparql"
q = """
SELECT ?label ?wikiPageID
WHERE {
<http://dbpedia.org/resource/Baseball> rdfs:label ?label ;
<http://dbpedia.org/ontology/wikiPageID> ?wikiPageID
}
"""
df = sparql_dataframe.get(endpoint, q)
...
By default, the query will be passed to the server as a GET request. To pass the query to the server as a POST request, use the post=True keyword.
df = sparql_dataframe.get(endpoint, q, post=True)
$ python -m unittest
FAQs
Convert SPARQL results to Pandas dataframes
We found that sparql-dataframe demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.