https://github.com/cadmiumkitty/rdfpandas

RdfPandas is a module providing RDF support for Pandas
https://github.com/cadmiumkitty/rdfpandas

linked-data pandas rdf rdflib semantic-web

Last synced: about 1 month ago
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RdfPandas is a module providing RDF support for Pandas

• Host: GitHub
• URL: https://github.com/cadmiumkitty/rdfpandas
• Owner: cadmiumkitty
• License: mit
• Created: 2018-05-07T11:52:30.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-09-21T00:10:28.000Z (3 months ago)
• Last Synced: 2024-09-21T11:50:41.588Z (3 months ago)
• Topics: linked-data, pandas, rdf, rdflib, semantic-web
• Language: Python
• Homepage:
• Size: 26.4 KB
• Stars: 51
• Watchers: 2
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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• awesome-ccamel - cadmiumkitty/rdfpandas - RdfPandas is a module providing RDF support for Pandas (Python)

README

        
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/

Prerequisites

-------------

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.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')

Creating DataFrame from RDF

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

::

  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")

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"^^``.