Convert SPARQL results to Pandas dataframes
Project description
sparql-dataframe
Helper to convert SPARQLWrapper results to Pandas dataframes.
See this blog post for examples. You might also be interested in these related examples from Su Labs tutorial.
Install
Directly from PyPi for Python 3.4+.
$ pip install sparql-dataframe
From Github. This should support Python 2.7 as well.
$ pip install git+https://github.com/lawlesst/sparql-dataframe.git
Usage
import sparql_dataframe
endpoint = "http://dbpedia.org/sparql"
q = """
SELECT ?label ?wikiPageID
WHERE {
<http://dbpedia.org/resource/Baseball> rdfs:label ?label ;
<http://dbpedia.org/ontology/wikiPageID> ?wikiPageID
}
"""
df = sparql_dataframe.get(endpoint, q)
...
By default, the query will be passed to the server as a GET
request. To pass the query to the server as a POST
request, use the post=True
keyword.
df = sparql_dataframe.get(endpoint, q, post=True)
Tests
$ python -m unittest
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sparql_dataframe-0.4.tar.gz
(2.3 kB
view details)
Built Distribution
File details
Details for the file sparql_dataframe-0.4.tar.gz
.
File metadata
- Download URL: sparql_dataframe-0.4.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.6.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b9e1e722d02989ae21269574fc9cf22f572e209d5aa129527b7a97cb020588f3 |
|
MD5 | 543584034de4a3d9bfa69f87162654fa |
|
BLAKE2b-256 | 36f69c1d7242cc79b6128c7445dc48b954a8f95dc536c6659db9088ca8dbb9f9 |
File details
Details for the file sparql_dataframe-0.4-py3-none-any.whl
.
File metadata
- Download URL: sparql_dataframe-0.4-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.6.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3512f898526cea55ccefd0d4535774458ee385faa0dffdcc2751e8d54aa73228 |
|
MD5 | a632c81c55b0d39ab47a17dea240f519 |
|
BLAKE2b-256 | a107ffcd009474710188237527ca21c487b23d8e59e996833fcdae72c8ba3f55 |