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.
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.
pip install rdfpandas
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.read_csv('to_graph_test.csv', index_col = '@id', keep_default_na = False)
namespace_manager = NamespaceManager(Graph())
namespace_manager.bind('skos', SKOS)
namespace_manager.bind('rdfpandas', Namespace('http://github.com/cadmiumkitty/rdfpandas/'))
g = to_graph(df, namespace_manager)
s = g.serialize(format = 'turtle')
from rdfpandas.graph import to_dataframe
import pandas as pd
import rdflib
g = rdflib.Graph()
g.parse('to_df_test.ttl', format = 'ttl')
df = to_dataframe(g)
df.to_csv('test.csv', index = True, index_label = "@id")
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>.