patchworklib
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine. (by ponnhide)
patchwork
The Composer of ggplots (by thomasp85)
| patchworklib | patchwork | |
|---|---|---|
| 5 | 7 | |
| 401 | 2,519 | |
| 2.5% | 0.6% | |
| 5.2 | 8.5 | |
| about 1 month ago | 6 months ago | |
| Jupyter Notebook | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
patchworklib
Posts with mentions or reviews of patchworklib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
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Python packages to prepare publication-quality figures.
patchworklib: https://github.com/ponnhide/patchworklib
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Patchworklib: A simple matplotlib based interface for preparing a multi-panel figure for publication
GitHub: https://github.com/ponnhide/patchworklib Example demonstration: https://colab.research.google.com/drive/1TVcH3IJy6geDXVJDfOKCPFPsP2GzjxHu?usp=sharing
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Unpopular opinion: Matplotlib is a bad library
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.
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Dynamic subplot layout on Jupyter-lab
I would like to introduce patchworklib, which allows dynamic subplot layout on Jupyter-lab/notebook.
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Pathcworklib: A subplot manager for intuitive layout in matplotlib
patchworklib
patchwork
Posts with mentions or reviews of patchwork.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-19.
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What is your favorite piece if Technogy or R package which you wish you would have discovered earlier ?
patchwork and ggrepel
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What is this chart type called? I’d like to recreate something similar in ggplot but I’m not sure what to Google for the code. Thanks guys
3 waffle charts, patched together with patchwork https://patchwork.data-imaginist.com/
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Dynamic subplot layout on Jupyter-lab
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.
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Pathcworklib: A subplot manager for intuitive layout in matplotlib
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.
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How to combine multiple figures together into one larger figure? What package is good for this?
There https://patchwork.data-imaginist.com
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Quick Tutorial: How to Create Side-by-Side Plots in ggplot2
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.
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Has anyone ever "tied" two graphs together in R?
Try the patchwork package which lets you glue graphs together. Amazing stuff!
What are some alternatives?
When comparing patchworklib and patchwork you can also consider the following projects:
pyCircos - python Circos
gganimate - A Grammar of Animated Graphics
K3D-jupyter - K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
echarts4r - 🐳 ECharts 5 for R
plotnine - A Grammar of Graphics for Python
ggsci - 🦄 Scientific journal and sci-fi themed color palettes for ggplot2