Outlyzer 0.0.2

Outlier detection

A Python package to detect outliers in a dataset

Outlyzer: A Python library for outlier detection

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.

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).