DATA42
Library specializing in data cleaning, visualization and prediction.
Highly paired with Pandas library. The functions receive as input parameter a dataframe and return it updated.
Cleaning: Remove characters, filter values, decoding, treatment of outliers and missings, type change and dates formating.
Visualization: data reports, plots and correlation tests.
Learning: Balance datasets, best model and params selector and classification metrics.
1 maintainer
Release files for Data42 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Data42-0.0.9.tar.gz | 13.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Data42-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.7 kB
Release files / Data42-0.0.9.tar.gz
| Download URL | Data42-0.0.9.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.1 CPython/3.9.7
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Release files / Data42-0.0.9-py3-none-any.whl
| Download URL | Data42-0.0.9-py3-none-any.whl |
|---|---|
| Size | 15.1 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.7
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