RdfPandas is a module providing RDF support for Pandas
RdfPandas =========
RdfPandas is a module providing RDF support for Pandas. It consists of two simple functions for Graph to DataFrame conversion and DataFrame to Graph conversion.
Getting Started
For more information about Resource Description Framework (RDF) and Pandas see:
- RDF: https://www.w3.org/RDF/
- Pandas: https://pandas.pydata.org/
You will need Python 3 to use Pandas and RdfPandas.
Installation
::
pip install rdfpandas
Usage
Creating RDF from DataFrame ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
As of version 1.1.0 NamespaceManager can be supplied to `rdflib.to_graph for conversion to Graph.
::
from rdfpandas.graph import to_graph import pandas as pd import rdflib df = pd.readcsv('tographtest.csv', indexcol = '@id', keepdefaultna = False) namespace_manager = NamespaceManager(Graph()) namespace_manager.bind('skos', SKOS) namespace_manager.bind('rdfpandas', Namespace('http://github.com/cadmiumkitty/rdfpandas/')) g = tograph(df, namespacemanager) s = g.serialize(format = 'turtle')
Creating DataFrame from RDF ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
::
from rdfpandas.graph import to_dataframe import pandas as pd import rdflib g = rdflib.Graph() g.parse('todftest.ttl', format = 'ttl') df = to_dataframe(g) df.tocsv('test.csv', index = True, indexlabel = "@id")
Gotchas
No special effort is made for dealing with types, so please be aware of Pandas features such as https://pandas.pydata.org/pandas-docs/stable/user_guide/gotchas.html#support-for-integer-na that may result in surprising RDF statements like "10.0"^^<xsd:integer>`.
