CleanPy - Automated Data Cleaning
CleanPy is an automated data-cleaning package that helps users handle missing values, remove duplicates, fix formatting issues, and standardize datasets effortlessly.
Features
Handle Missing Values: Fill or remove missing values using different strategies.
Remove Duplicates: Detect and eliminate duplicate rows.
Fix Data Formatting: Standardize text, dates, and column names.
Auto-detect Cleaning Strategies: Get suggested fixes for common data issues.
Support for Multiple Formats: Works with CSV, Excel, JSON, Parquet, and more.
Command-line Interface (CLI): Clean data directly from the terminal.
Installation
You can install CleanPy from PyPI using:
pip install cleanpy
Usage
Command-line Interface (CLI)
To clean a dataset from the command line:
cleanpy data.csv --auto-clean -o cleaned_data.csv
Available CLI options:
cleanpy input_file [options]
Options: --auto-clean Apply recommended cleaning strategies automatically. --fill-missing [strategy] Fill missing values (mean, median, mode, etc.). --drop-duplicates Remove duplicate rows. --fix-datatypes Automatically fix data types. --normalize-text Normalize text columns. --format-dates Convert dates to ISO format. --standardize-columns Standardize column names. -o, --output [file] Save cleaned data to a file.
Python API
You can also use CleanPy in your Python scripts:
from cleanpy.core import CleanDF
df = CleanDF("data.csv") df.auto_clean() df.save("cleaned_data.csv")
Supported File Formats
CSV (.csv)
Excel (.xls, .xlsx)
JSON (.json)
Pickle (.pkl)
Parquet (.parquet)
Contributing
We welcome contributions! Feel free to fork the repository, make changes, and submit a pull request.
License
This project is licensed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for dataclense 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dataclense-0.1.0.tar.gz | 2.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataclense-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 kB
Release files / dataclense-0.1.0.tar.gz
| Download URL | dataclense-0.1.0.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.9
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Release files / dataclense-0.1.0-py3-none-any.whl
| Download URL | dataclense-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.12.9
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