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        "author": "Ted Lawless",
        "author_email": "lawlesst@gmail.com",
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        "description": "# sparql-dataframe\n\nHelper to convert [SPARQLWrapper](https://github.com/RDFLib/sparqlwrapper) results to [Pandas](https://pandas.pydata.org/) [dataframes](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).\n\n[![Build Status](https://travis-ci.org/lawlesst/sparql-dataframe.svg?branch=master)](https://travis-ci.org/lawlesst/sparql-dataframe)\n\nSee this [blog post](http://lawlesst.github.io/notebook/sparql-dataframe.html) for examples. You might also be interested in these related examples from [Su Labs tutorial](https://github.com/SuLab/sparql_to_pandas/blob/master/SPARQL_pandas.ipynb).\n\n## Install\n\nDirectly from [PyPi](https://pypi.org/project/sparql-dataframe/) for Python 3.4+.\n\n```\n$ pip install sparql-dataframe\n```\n\nFrom Github. This should support Python 2.7 as well.\n\n```\n$ pip install git+https://github.com/lawlesst/sparql-dataframe.git\n```\n\n## Usage\n\n```\nimport sparql_dataframe\n\nendpoint = \"http://dbpedia.org/sparql\"\n\nq = \"\"\"\n    SELECT ?label ?wikiPageID\n    WHERE {\n    <http://dbpedia.org/resource/Baseball> rdfs:label ?label ;\n         <http://dbpedia.org/ontology/wikiPageID> ?wikiPageID\n    }\n\"\"\"\n\ndf = sparql_dataframe.get(endpoint, q)\n...\n```\n\nBy 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.\n\n```\ndf = sparql_dataframe.get(endpoint, q, post=True)\n```\n\n## Tests\n\n```\n$ python -m unittest\n```\n\n\n\n\n",
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