This is a package for DataFrame-based graphs on top of Apache Spark. Users can write highly expressive queries by leveraging the DataFrame API, combined with a new API for motif finding. The user also benefits from DataFrame performance optimizations within the Spark SQL engine.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
graphframes-0.6.tar.gz
(15.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file graphframes-0.6.tar.gz.
File metadata
- Download URL: graphframes-0.6.tar.gz
- Upload date:
- Size: 15.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/28.8.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
869aff3f4bf76a609a6bf4399c9c319c9a0280badd676750a49400e940f1adfa
|
|
| MD5 |
39f8cd1b5b3b8ef49a9d4210ede27fc0
|
|
| BLAKE2b-256 |
81a788681bdf93189ddb555cfc3ee47d97f1156ddf394dbccf1f4f81cff6fe44
|
File details
Details for the file graphframes-0.6-py2.py3-none-any.whl.
File metadata
- Download URL: graphframes-0.6-py2.py3-none-any.whl
- Upload date:
- Size: 18.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/28.8.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dc18f71ee3644550ca1b2d73f017bd380881425f3b8acea58cbff3e8525e518d
|
|
| MD5 |
2b0150d7881cbe5207c9a92b7d5defd1
|
|
| BLAKE2b-256 |
0b27c7c7e1ced2fe9a905f865dd91faaec2ac8a8e313f511678c8ec92a41a153
|
