PyViO 1.2.0

Visualize outliers in data

PyViO

The PyViO (stands for Python VIsualize Outliers) 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 [e-mail]

** 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