sparql-dataframe

Helper to convert SPARQLWrapper results to Pandas dataframes.

Update 10/23/2024 - this library is no longer maintained. SPARQL to dataframe functionality has been added directly to SPARQLWrapper. Please try that library.

See this blog post for examples. You might also be interested in these related examples from Su Labs tutorial.

Install

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

Usage

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)

Tests

$ python -m unittest