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).