Phantom Cleaner 🧹
phantom_cleaner is a simple and efficient Python library to clean your datasets with minimal effort.
Features
- Handle missing values (mean, median, mode, drop)
- Remove duplicates
- Remove outliers using IQR
- Label encode categorical variables
- Clean text data (lowercase, remove punctuation and digits)
Installation
pip install phantom_cleaner
#USAGE
# import pandas as pd
# from phantom_cleaner import PhantomCleaner
# df = pd.read_csv('yourfile.csv')
# cleaned_df = (PhantomCleaner(df)
# .fill_missing('mean')
# .remove_outliers_iqr()
# .remove_duplicates()
# .label_encode()
# .get_data())
# print(cleaned_df.head())
1 maintainer
Metadata
1 maintainer
Release files for phantom-cleaner 0.1.0
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 | |
|---|---|---|---|---|
| phantom_cleaner-0.1.0.tar.gz | 2.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| phantom_cleaner-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 kB
Release files / phantom_cleaner-0.1.0.tar.gz
| Download URL | phantom_cleaner-0.1.0.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c4b744efe3c6302d3edb9e114bafbaae41ba93cf63ad5e3c88797942688e0775
|
|
BLAKE2b-256 checksum How to use checksums |
37a1134bc17c2d055fea40e24c2e497dffd81f02dba6d3931d7cc607b79ea07f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Release files / phantom_cleaner-0.1.0-py3-none-any.whl
| Download URL | phantom_cleaner-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
66c002b098a33559b6fe4c58cd3b452de31f7e5b2f36344cc57c77c24fa38792
|
|
BLAKE2b-256 checksum How to use checksums |
6f6b6d28f79506469d5a2998eb046921a6ade3b8c61ec2a1f01d0783967d6182
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Security for phantom-cleaner 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
