[](https://doi.org/10.5281/zenodo.14292811)
# KitikiPlot
KitikiPlot is a Python library for visualizing sequential and time-series categorical "Sliding Window" data. <br>
(The term 'kitiki' means 'window' in Telugu)
<!--
## Table of Contents</h2>
- [Why Kitkiplot?](#What-and-why)
- [Getting Started](#getting-started)
- [Contribute](#contribute)
- [Maintainer(s)](#maintainer(s))
- [Citation](#citation)
## Why Kitikiplot?
-->
### Examples
Genome Visualization can be found in [Genome.ipynb](https://github.com/BodduSriPavan-111/kitikiplot/blob/add-comments/examples/Genome.ipynb)
<br><br>
Weather Pattern in [Weather Pattern.ipynb](https://github.com/BodduSriPavan-111/kitikiplot/blob/add-comments/examples/Weather_Pattern.ipynb)
<br><br>
CO Trend in Air in [Air_Quality.ipynb](https://github.com/BodduSriPavan-111/kitikiplot/blob/add-comments/examples/Air_Quality.ipynb)
<br>
### Getting Started
Install the package via pip
```javascript
pip install kitikiplot
```
#### Usage
```javascript
from kitikiplot import KitikiPlot
ktk= KitikiPlot( data= # DataFrame or list of sliding window data )
ktk.plot( display_legend= True ) # Display the legend
```
Check out the complete <b>guide of customization</b> [here](https://github.com/BodduSriPavan-111/kitikiplot/blob/main/examples/Usage_Guide.ipynb).
Please refer <a href="https://github.com/BodduSriPavan-111/kitikiplot/blob/main/CONTRIBUTING.md">CONTRIBUTING.md</a> for <b>contributions</b> to kitikiplot.
### Author
<a href="https://www.linkedin.com/in/boddusripavan/"> Boddu Sri Pavan </a> &
<a href="https://www.linkedin.com/in/boddu-swathi-sree-2a2a58332/"> Boddu Swathi Sree </a>
## Citation
> @software{ KitikiPlot_2024 <br/>
> author = {Boddu Sri Pavan and Boddu Swathi Sree}, <br/>
> title = {{KitikiPlot: A Python library to visualize categorical sliding window data}}, <br/>
> year = {2024}, <br/>
> version = {0.0.1}, <br/>
> url = {\url{https://github.com/BodduSriPavan-111/kitikiplot}, <br/>
> doi = {10.5281/zenodo.14292812} <br/>
> howpublished = {\url{https://github.com/BodduSriPavan-111/kitikiplot}} <br/>
> }
## Thank You !
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"description": "\r\n\r\n\r\n\r\n[](https://doi.org/10.5281/zenodo.14292811)\r\n\r\n\r\n# KitikiPlot\r\nKitikiPlot is a Python library for visualizing sequential and time-series categorical \"Sliding Window\" data. <br>\r\n(The term 'kitiki' means 'window' in Telugu)\r\n\r\n<!--\r\n## Table of Contents</h2>\r\n- [Why Kitkiplot?](#What-and-why)\r\n- [Getting Started](#getting-started)\r\n- [Contribute](#contribute)\r\n- [Maintainer(s)](#maintainer(s))\r\n- [Citation](#citation)\r\n\r\n## Why Kitikiplot?\r\n-->\r\n\r\n### Examples \r\nGenome Visualization can be found in [Genome.ipynb](https://github.com/BodduSriPavan-111/kitikiplot/blob/add-comments/examples/Genome.ipynb)\r\n\r\n<br><br>\r\nWeather Pattern in [Weather Pattern.ipynb](https://github.com/BodduSriPavan-111/kitikiplot/blob/add-comments/examples/Weather_Pattern.ipynb)\r\n\r\n<br><br>\r\nCO Trend in Air in [Air_Quality.ipynb](https://github.com/BodduSriPavan-111/kitikiplot/blob/add-comments/examples/Air_Quality.ipynb)\r\n\r\n<br>\r\n\r\n### Getting Started\r\nInstall the package via pip\r\n```javascript\r\npip install kitikiplot\r\n```\r\n#### Usage\r\n```javascript\r\nfrom kitikiplot import KitikiPlot\r\n\r\nktk= KitikiPlot( data= # DataFrame or list of sliding window data )\r\n\r\nktk.plot( display_legend= True ) # Display the legend\r\n```\r\nCheck out the complete <b>guide of customization</b> [here](https://github.com/BodduSriPavan-111/kitikiplot/blob/main/examples/Usage_Guide.ipynb).\r\n\r\nPlease refer <a href=\"https://github.com/BodduSriPavan-111/kitikiplot/blob/main/CONTRIBUTING.md\">CONTRIBUTING.md</a> for <b>contributions</b> to kitikiplot.\r\n\r\n### Author\r\n<a href=\"https://www.linkedin.com/in/boddusripavan/\"> Boddu Sri Pavan </a> & \r\n<a href=\"https://www.linkedin.com/in/boddu-swathi-sree-2a2a58332/\"> Boddu Swathi Sree </a>\r\n\r\n## Citation\r\n\r\n> @software{ KitikiPlot_2024 <br/>\r\n> author = {Boddu Sri Pavan and Boddu Swathi Sree}, <br/>\r\n> title = {{KitikiPlot: A Python library to visualize categorical sliding window data}}, <br/>\r\n> year = {2024}, <br/>\r\n> version = {0.0.1}, <br/>\r\n> url = {\\url{https://github.com/BodduSriPavan-111/kitikiplot}, <br/>\r\n> doi = {10.5281/zenodo.14292812} <br/>\r\n> howpublished = {\\url{https://github.com/BodduSriPavan-111/kitikiplot}} <br/>\r\n> }\r\n\r\n## Thank You !\r\n",
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