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)
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Metadata
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Release files for tsum 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| tsum-0.1.0.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tsum-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.7 kB
Release files / tsum-0.1.0.tar.gz
| Download URL | tsum-0.1.0.tar.gz |
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| Size | 7.7 kB |
| Tags | Source |
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Release files / tsum-0.1.0-py3-none-any.whl
| Download URL | tsum-0.1.0-py3-none-any.whl |
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| Size | 14.0 kB |
| Tags | Python 3 |
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