kitikiplot 1.0.1

A Python library to visualize categorical sliding window data.

KitikiPlot

KitikiPlot is a Python library for visualizing sequential and time-series categorical "Sliding Window" data.
(The term 'kitiki' means 'window' in Telugu)

Genome Grid Plot Generator: 🤗 HuggingFace Demo

Examples

Genome Visualization can be found in Genome.ipynb

Weather Pattern in Weather Pattern.ipynb

CO Trend in Air in Air_Quality.ipynb

Getting Started

Install the package via pip:

pip install kitikiplot

Usage

from kitikiplot import KitikiPlot

data = [] # DataFrame or list of sliding window data

ktk= KitikiPlot( data= data )

ktk.plot( display_legend= True ) # Display the legend

Check out the complete guide of customization here.

To-do

• Tooltip
• Interactive Plot
  
• Domain-specific modules
  
• Streamlit Demo Interface
  
• Website for documentation

Want to contribute?

• Please refer CONTRIBUTING.md for contributions to kitikiplot.
• Execute Tests when contributing to KitikiPlot
• Please refer Readme.md to run the tests

To join the Discord server for more discussion, click here

Key Author

Boddu Sri Pavan

Citation

Our preprint is published in TechRxiv. Find it here

Research paper is published in GIS Science Journal Volume 12 Issue 1, 186-193, 2025 (Scopus indexed with Impact factor 6.1).
Read it here: https://zenodo.org/records/14632005

APA

Boddu Sri Pavan, Chandrasheker Thummanagoti, & Boddu Swathi Sree. (2025). KitikiPlot A Python library to visualize categorical sliding window data. https://doi.org/10.5281/zenodo.14632005.

IEEE

Boddu Sri Pavan, Chandrasheker Thummanagotiand Boddu Swathi Sree, “KitikiPlot A Python library to visualize categorical sliding window data”, 2025, doi: 10.5281/zenodo.14632005.

BibTeX

@misc{boddu_sri_pavan_2025_14632005,
author = {Boddu Sri Pavan and
Chandrasheker Thummanagoti and
Boddu Swathi Sree},
title = {KitikiPlot A Python library to visualize
categorical sliding window data
},
month = jan,
year = 2025,
publisher = {Zenodo},
doi = {10.5281/zenodo.14632005},
url = {https://doi.org/10.5281/zenodo.14632005},
}

Thank You !