MGD-Outliers 0.1.1

MGD_Outliers is a Python package for identifying and visualizing outliers in a DataFrame.

MGD_Outliers

MGD_Outliers is an open-source Python package for detecting and analyzing outliers in data. The package provides a class, Outliers, which can be used to detect outliers in numerical data, and provides several methods to analyze and visualize the detected outliers.

Current version

version 0.1.1

Installation

You can install MGD_Outliers using pip:

pip install MGD_Outliers

Usage

To use the Outliers class in MGD_Outliers, you first need to import the package:

from MGD_Outliers import Outliers

Then, you can create an instance of the Outliers class and pass your data to it:

outliers = Outliers(data)

Once you have an instance of the Outliers class, you can use its methods to detect and analyze outliers. For example, you can use the detect_outliers method to detect outliers in the data:

outliers.get_outliers()

You can also use the plot_outlier_count method to plot barplot of the columns with the detected outliers highlighted:

outliers.plot_outlier_count()

For a full list of methods available in the Outliers class, see the documentation.

License

This package is licensed under the Apache License 2.0. See the LICENSE file for more information.

Contributing If you find any bugs or issues with MGD_Outliers, or if you have any suggestions for new features, please open an issue on GitHub. If you would like to contribute to the development of MGD_Outliers, please fork the repository and submit a pull request.