Summarize data in Dask DataFrames.
Project description
TSum - Table Summarization
Given a table where rows correspond to records and columns correspond to attributes, we want to find a small number of patterns that succinctly summarize the dataset.
TSum is a table summarization algorithm published by Google Research. This is a Python implementation of the algorithm using Dask Dataframes for scale.
Usage
import dask.dataframe as dd
from tsum import summarize, Pattern
from dask.distributed import LocalCluster
cluster = LocalCluster(n_workers=1, nthreads=8, diagnostics_port=8787)
client = cluster.get_client()
ddf: dd.DataFrame = ...
patterns: list[Pattern] = summarize(ddf=ddf)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tsum-0.1.0.tar.gz
(7.7 kB
view details)
Built Distribution
tsum-0.1.0-py3-none-any.whl
(14.0 kB
view details)
File details
Details for the file tsum-0.1.0.tar.gz.
File metadata
- Download URL: tsum-0.1.0.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.19 Linux/6.5.0-26-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4828d78e827290848a19c028dce1056abca56a75a4c62fea3b0d50bac2f4eb67 |
|
| MD5 | 9f33d1eb019852e10e6d727b3a49320f |
|
| BLAKE2b-256 | 049e51a253c6bb4690411190d5acaa78d324ec11fd62e25cb0ef96877483b432 |
File details
Details for the file tsum-0.1.0-py3-none-any.whl.
File metadata
- Download URL: tsum-0.1.0-py3-none-any.whl
- Upload date:
- Size: 14.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.19 Linux/6.5.0-26-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8714a2e3e34d229bf584ddec635b3259ef1f3b9c58a53b11842edebc38f27bee |
|
| MD5 | 884cea66f693887829e87e5fa2101e0b |
|
| BLAKE2b-256 | f128c22302bfd944aa9f0b4616b4a457a51de7f89de104118b552338472d8c3b |
