patchwork VS patchworklib

patchwork and ggrepel

3 waffle charts, patched together with patchwork https://patchwork.data-imaginist.com/

Here, I developed patchworklib that allows users to arrange subplots dynamically and determine the best layout from the multiple layouts. Patchworklib is inspired by patchwork library for R ggplot2, so it enables designing subplot layouts with only / and | operators.

So, I developed patchworklib inspired by the patchwork library for R. With patchwroklib, after creating individual plots, you can quickly design multiple layouts combining them and select the best one among them.

There https://patchwork.data-imaginist.com

The author of patchwork offers some justification for the package here compared to other R packages that facilitate the plotting of ggplot objects (e.g., gridExtra, cowplot). The syntax appears to be simpler than creating matrices to specify layouts as in gridExtra, but the examples given on the GitHub page don't really demonstrate how the package deals with the more complex layouts that are possible in gridExtra.

Try the patchwork package which lets you glue graphs together. Amazing stuff!

patchworklib: https://github.com/ponnhide/patchworklib

GitHub: https://github.com/ponnhide/patchworklib Example demonstration: https://colab.research.google.com/drive/1TVcH3IJy6geDXVJDfOKCPFPsP2GzjxHu?usp=sharing

I think plotnine is one solution. It is implemented based on matplotlib, but it provides an almost complete ggplot syntax for matplotlib. The other solution is a next-generation seaborn interface. It is also `build on matplotlib and still in progress; however, the API would be really useful! And I have personally also developed a few libraries to solve the complex syntax of matplotlib. As an example, patchworkllib allows dynamic subplot layout on Jupyter-lab. Maybe the library can support handling matplotlib and seaborn plots.

I would like to introduce patchworklib, which allows dynamic subplot layout on Jupyter-lab/notebook.

patchworklib