cleanml
A python package for cleaning and preparing data for downstream analysis or ML modeling.
Installation
$ pip install cleanml
Usage
cleanml can be used to clean and prepare data.
from cleanml.cleanml import make_column_names
import pandas as pd
file_path = "data" # path to your file
data = pd.read_csv(file_path)
data = make_column_names(data)
column_names = data.columns.to_list()
print(column_names)
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
cleanml was created by Thulasiram Gunipati. It is licensed under the terms of the MIT license.
Credits
cleanml was created with cookiecutter and the py-pkgs-cookiecutter template.
1 maintainer
Metadata
1 maintainer
Release files for cleanml 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cleanml-0.2.0.tar.gz | 3.0 kB | Without provenance | Details for cleanml-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cleanml-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for cleanml-0.2.0-py3-none-any.whl |
Total release size: 6.3 kB
Release files / cleanml-0.2.0.tar.gz
| Download URL | cleanml-0.2.0.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.9.0 Linux/5.15.0-58-generic
|
Release files / cleanml-0.2.0-py3-none-any.whl
| Download URL | cleanml-0.2.0-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.9.0 Linux/5.15.0-58-generic
|
Security for cleanml 0.2.0
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