patchworklib
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine. (by ponnhide)
plotnine
A Grammar of Graphics for Python (by has2k1)
| patchworklib | plotnine | |
|---|---|---|
| 5 | 36 | |
| 409 | 4,246 | |
| 1.0% | 1.3% | |
| 5.2 | 9.4 | |
| 4 months ago | 5 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 only | MIT License |
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.
-
Python packages to prepare publication-quality figures.
patchworklib: https://github.com/ponnhide/patchworklib
-
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
-
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.
-
Dynamic subplot layout on Jupyter-lab
I would like to introduce patchworklib, which allows dynamic subplot layout on Jupyter-lab/notebook.
-
Pathcworklib: A subplot manager for intuitive layout in matplotlib
patchworklib
plotnine
Posts with mentions or reviews of plotnine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-18.
- FLaNK AI Weekly 18 March 2024
-
A look at the Mojo language for bioinformatics
To your last point, have you tried plotnine? It's meant to be ggplot2 for python.
https://github.com/has2k1/plotnine
-
Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
plotnine - A grammar of graphics for Python based on ggplot2.
-
Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/has2k1/plotnine
-
Lets-Plot: An open-source plotting library by JetBrains
This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
- When would you use R instead of Python?
-
[P] Easily make complex plots using ChatGPT [open source]
There is [plotnine](https://plotnine.readthedocs.io/en/stable/) which tries to implement ggplot in Python.
-
Is R or Python an EASIER option for non-CS/SE grads?
You could use plotnine if you like the grammar of graphics concept: https://plotnine.readthedocs.io/en/stable/
-
Every modeler is supposed to be a great Python programmer
> Python doesn’t yet have anything remotely close to ggplot for rapidly making exploratory graphics, for example.
Plug for plotnine (https://plotnine.readthedocs.io/en/stable/). I don't know R but use ggplot indirectly through this library for exploratory data analysis, and comparing the experience to any other python plotting library, I understand why R folks are usually so sad to be using Python.
-
Why has nobody ported ggplot to Python?
They have, https://plotnine.readthedocs.io/en/stable/
What are some alternatives?
When comparing patchworklib and plotnine you can also consider the following projects:
patchwork - The Composer of ggplots
matplotlib - matplotlib: plotting with Python
pyCircos - python Circos
Altair - Declarative visualization library for Python
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.
seaborn - Statistical data visualization in Python