# The-Python-Graph-Gallery **Repository Path**: Unusual2020/The-Python-Graph-Gallery ## Basic Information - **Project Name**: The-Python-Graph-Gallery - **Description**: https://www.data-to-viz.com/ - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 2 - **Forks**: 0 - **Created**: 2020-06-20 - **Last Updated**: 2022-04-22 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README The Python Graph Gallery =================== Overview -------- Welcome to the Github Repository of the [**Python Graph Gallery**](https://www.python-graph-gallery.com/). The [**Python Graph Gallery**](https://www.python-graph-gallery.com/) is a website that showcases hundreds of graphics, all made using python. Charts are displayed in ~40 categories, and are always accompanied with their reproducible code. It allows users to quickly copy and paste a snippet of code and adapt it to their dataset. The [**Python Graph Gallery**](https://www.python-graph-gallery.com/) is a work developped by Yan Holtz during its nights, week-ends and holidays. Thus, please be indulgent if you find any bug, inconsistency or potential improvement. By definition, this project will never be finished (datavis possibilities are infinite!) Contributing -------- I would be really happy to receive new chart examples that you consider as missing to the gallery. Please note that they must respect certain features: - Code must be fully reproducible: a copy and paste must be enough to get the figure - Code must be as effective as possible AND well commented - Chart must be clearly different from the ones already existing - It is a plus if the chart is accompanied by a few explanation on how the code works Please send me any suggestion to yan.holtz.data@gmail.com OR add the code to the CONTRIBUTION folder through a pull request. Please note that I keep the decision to add the chart or not, since I want to keep the selection of the charts present in the gallery as efficient as possible. Last but not least, you probably notices that my english is terrible. I apologize for that, and any mistake feedback is welcome! Thank you very much for any contribution! Charts re-utilization -------- Feel free to reuse any of the chart displayed in the gallery at your convenience! However, please don't forget to **give credit** to this work by citing it! Most importantly, **add links** to the gallery since it allows the website to grow. Acknowledgment -------- There are many people I would like to acknowledge: - Creators of [**Matplotlib**](https://matplotlib.org), [**Seaborn**](https://seaborn.pydata.org), and [**Pandas**](http://pandas.pydata.org). Awesome tools, without them python would be way different, and the gallery would not exist. Sometimes, my examples can be close from their documentation, but I always link toward their webpages. - Creators of other libraries and blog who accepted that I share their creations. - People who already sent me some feedbacks / bug reports / proposition of improvement. - People who said me thank you! Without that I would not developp this resource... - My friend [**Guillaume Guimzu Debreu**](https://www.linkedin.com/in/guillaume-debreu-7b360b125/) without who I would never have had the Idea to make the galleries. - My friend [**Conor Healy**](http://www.conor.fr), best designer ever, who did the awesome set of Logo. - My friend **Jean-Phi** for his precious advices. - My wife **Mel Mulot** who bears me even when I code by night - All my english speaker friends who correct me with patience (Lou Papéou, Annie-Rose, Cherelle, Kath, Shenfa)