semvec/pypi-packages huggingface dataset:
PyViO 1.2.0
Visualize outliers in data
License: MIT

# PyViO

The PyViO (stands for **P**ython **VI**sualize **O**utliers) is a python package to visualize the outliers using multiple interactive plots. It employs blox-plots, donut-plots & heatmaps to show where the outliers are present in the data and how much of the data is being flagged as outlier. It also tries to estabilish a reason for why a particular data-point is being flagged as outlier.

This library has been built SOLELY for **EDUCATIONAL PURPOSES** and is still on its way to perfection. Please let us know if you happen to find some issue and we will be glad to put a fix for it!!

Contact us at **team.pyvio@gmail.com**

** **Note 1** - Please use Google Chrome to enable the full functionality of this package.

** **Note 2** - There might be a processing issue in cases of large datasets. For the moment, please consider trying this package on smaller datasets.

## How to install

PyViO can be installed from PyPi using the following **Pip** command:

    pip install PyViO
    
## How to summon

You can summon the PyViO into your code by simply importing the `PyViO` package:

    from PyViO import interact
    interact.show_outliers(data, method, parameter(optional parameter))

* Please refer to the docstring for more details

## About Command Line

The literature articles on various methods which are being used to detect and visualize the outliers can be seen by using command line.

    python -m PyViO <method number>
    
* How to see the Wiki articles?
    * **1** to see 'Interquartile range'
    * **2** to see 'Standard score'
    * **3** to see 'Median filter'
    
Alternatively, the **help** section for this package can be seen by using the following command.

    python -m PyViO -help OR -h