def _get_sparql_meta(self):
"""
Parses the query metadata and load a table of available queries.
"""
self._graph.parse(source=utils.get_meta_path(),
publicID=''.join(['file://', utils.get_meta_path()]),
format='turtle')
result = self._graph.query(self._queries['meta.rq'])
df = utils.result_to_dataframe(result)
uuid_series = df.uri.str.slice(start=27)
uuid_series.name = 'uuid'
uuid = df.join(uuid_series)
return uuid.set_index('uuid')
def execute_select(self, query_index, **kwargs):
"""
Execute a query, but return dataframe of the results.
Parameters
----------
query_index : str
Returns
-------
df : pandas.Dataframe
Dataframe object of SELECT SPARQL query
"""
result = self.execute(query_index, **kwargs)
return utils.result_to_dataframe(result)
