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.
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Release files for graphframes 0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| graphframes-0.6.tar.gz | 15.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graphframes-0.6-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 33.5 kB
Release files / graphframes-0.6.tar.gz
| Download URL | graphframes-0.6.tar.gz |
|---|---|
| Size | 15.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is 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
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Release files / graphframes-0.6-py2.py3-none-any.whl
| Download URL | graphframes-0.6-py2.py3-none-any.whl |
|---|---|
| Size | 18.1 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is 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
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