DataSum
DataSum produces a quick, human-readable explanation of a pandas DataFrame: summary, missing data, outliers, correlations, and suggested visualizations.
Author
Ganeshamoorthy
Email: ganeshms110@gmail.com
LinkedIn: https://www.linkedin.com/in/ganeshamoorthy-s-8466b7332
Quick example
import pandas as pd
from datasum import explain
df = pd.read_csv("sales.csv")
report = explain(df, save_plots=True, outdir="plots")
print(report["summary"])
1 maintainer
Metadata
1 maintainer
Release files for datasum 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| datasum-0.1.0.tar.gz | 2.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datasum-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.0 kB
Release files / datasum-0.1.0.tar.gz
| Download URL | datasum-0.1.0.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.2.0 CPython/3.12.9
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Release files / datasum-0.1.0-py3-none-any.whl
| Download URL | datasum-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.0 kB |
| Tags | Python 3 |
|
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/6.2.0 CPython/3.12.9
|
Security for datasum 0.1.0
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