pyCircos
patchworklib


pyCircos | patchworklib | |
---|---|---|
5 | 5 | |
348 | 395 | |
1.7% | 1.8% | |
3.1 | 5.8 | |
8 months ago | 4 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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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.
pyCircos
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Python packages to prepare publication-quality figures.
pyCircos: https://github.com/ponnhide/pyCircos
- Show HN: Beautiful Circos Plots in Matplotlib
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pyCircos: Beautiful circos plots in matplotlib
Thank you for everyone's comments. I'm glad for getting positive responses from this community. This library provides the way not only for drawing circos plots and for visualizing circular phylogenetic trees. https://github.com/ponnhide/pyCircos/blob/master/img/tree-example.png This function is still in progress; however, I hope it helps your biological science.
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Beautiful circos plots in Python
Here, I made pyCircos that allow drawing circos plots with matplotlib. By using this package, not only circos plots but also complex polar plots can be quickly drawn.
patchworklib
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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
What are some alternatives?
itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
plotnine - A Grammar of Graphics for Python
pyCirclize - Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
patchwork - The Composer of ggplots
graphlan - High-quality circular representations of taxonomic and phylogenetic trees
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.
phylophlan - Precise phylogenetic analysis of microbial isolates and genomes from metagenomes
siuba - Python library for using dplyr like syntax with pandas and SQL
ielex-data-and-tree - Data and scripts for producing a Baysian phylogenetic tree sample of for the Indo-European family which is "good enough", using data from IELex (Dunn et al. 2011).
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
plasmidviewer - Python library to visualize circular plasmid maps
mplsel - A Matplotlib utility class to enable easier selection, interaction, modification and duplication of Line2D-based plots

