https://github.com/devparihar5/outlyzer
Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.
https://github.com/devparihar5/outlyzer
outlier-detection pypi pypi-package python python-library visualization
Last synced: about 1 year ago
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Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.
- Host: GitHub
- URL: https://github.com/devparihar5/outlyzer
- Owner: Devparihar5
- License: other
- Created: 2023-04-21T18:09:03.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-13T09:55:28.000Z (about 3 years ago)
- Last Synced: 2025-04-26T21:34:34.570Z (about 1 year ago)
- Topics: outlier-detection, pypi, pypi-package, python, python-library, visualization
- Language: Python
- Homepage: https://pypi.org/project/Outlyzer
- Size: 83 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Outlyzer -A Python package to detect outliers in a dataset
Outlyzer is a Python library that provides various methods for detecting outliers in a dataset. It includes implementation of Z-score, IQR, and Mahalanobis distance methods for identifying outliers, as well as visualization-based methods using scatter plots, box plots, and other types of visualizations.
## Installation
You can install Outlyzer using pip:
```
pip install outlyzer
```
Usage:
- Import the desired method from the library, e.g.:
from Outlyzer.zscore import detect_outliers_zscore
from Outlyzer.iqr import detect_outliers_iqr
- Pass your dataset or data series to the respective function, e.g.:
outliers_zscore = detect_outliers_zscore(data)
outliers_iqr = detect_outliers_iqr(data)
The functions will return a boolean array indicating whether each data point is an outlier (True) or not (False).
##
