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.. _plugin_parsers: Plugin parsers
==============
Plugin parsers
==============
These serializers are available in default RDFLib, you can use them by
passing the name to graph's :meth:`~rdflib.graph.Graph.parse` method::
graph.parse(my_url, format='n3')
The ``html`` parser will auto-detect RDFa, HTurtle or Microdata.
It is also possible to pass a mime-type for the ``format`` parameter::
graph.parse(my_url, format='application/rdf+xml')
If you are not sure what format your file will be, you can use :func:`rdflib.util.guess_format` which will guess based on the file extension.
========= ====================================================================
Name Class
========= ====================================================================
json-ld :class:`~rdflib.plugins.parsers.jsonld.JsonLDParser`
hext :class:`~rdflib.plugins.parsers.hext.HextuplesParser`
n3 :class:`~rdflib.plugins.parsers.notation3.N3Parser`
nquads :class:`~rdflib.plugins.parsers.nquads.NQuadsParser`
patch :class:`~rdflib.plugins.parsers.patch.RDFPatchParser`
nt :class:`~rdflib.plugins.parsers.ntriples.NTParser`
trix :class:`~rdflib.plugins.parsers.trix.TriXParser`
turtle :class:`~rdflib.plugins.parsers.notation3.TurtleParser`
xml :class:`~rdflib.plugins.parsers.rdfxml.RDFXMLParser`
========= ====================================================================
Multi-graph IDs
---------------
Note that for correct parsing of multi-graph data, e.g. Trig, HexT, etc., into a ``Dataset``,
as opposed to a context-unaware ``Graph``, you will need to set the ``publicID`` of the ``Dataset`` to the identifier of the ``default_context`` (default graph), for example::
d = Dataset()
d.parse(
data=""" ... """,
format="trig",
publicID=d.default_context.identifier
)
(from the file tests/test_serializer_hext.py)
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