daltonize
SciencePlots
| daltonize | SciencePlots | |
|---|---|---|
| 3 | 8 | |
| 74 | 6,492 | |
| - | - | |
| 0.0 | 5.9 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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daltonize
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How to restore some visual hints from protanopic images?
[1] https://github.com/joergdietrich/daltonize
- [AA] inSeas0n's Almanac - v1.73
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Meta VS Counters - Unlimited !
If you're comfortable with CLI, there's a git repo you can use to recolor images to a colorblind friendly format: https://github.com/joergdietrich/daltonize
SciencePlots
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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
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Resources for data visualization (free & paid) for scientific publications
What is it about matplotlib that you object to? If it’s just the number of commands needed to get it right, you can look at something like https://github.com/garrettj403/SciencePlots that will get you most of the way.
- Matplotlib Styles for Scientific Plotting
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LovelyPlots
I know a lot of academics that do, but wouldn't recommend it personally. Also, there is https://github.com/garrettj403/SciencePlots
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Struggling with Python
Seeing as you're doing bioinformatics, I recommend Juptyer notebooks and pandas if you're not already. The pandas documentation is very extensive which is helpful. I also recommend SciencePlots for publication quality plots.
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Using Python (and matplotlib) for plotting in academia
I have also found SciencePlots. Should I use this in addition to cmcrameri?
- Matplotlib style library for Scientific plots
What are some alternatives?
LovelyPlots - Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
paperetl - 📄 ⚙️ ETL processes for medical and scientific papers
30-Days-Of-Python - 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
Flask-Plots - Flask-Plots is a library for creating and rendering static visualizations using Matplotlib in Python.
dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style
Expense-tracker - Python expense tracker
sane_tikz - Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
cheatsheets - Official Matplotlib cheat sheets
VSCode-LaTeX-Inkscape - ✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS
plotly.rs - Plotly for Rust
arxiv-latex-cleaner - arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv