Effective visualization of biomedical data using plot-misc
Amand Floriaan Schmidt, Nikita Hukerikar, Chris Finan, Marion van Vugt, Mikhail Dozmorov · 2026
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Description
Amand Floriaan Schmidt and colleagues introduce plot-misc in 2026, a Python package for publication-ready charts in biomedical research. Standard tools such as matplotlib and seaborn leave out chart types that medical papers use constantly. Building those charts from low-level commands takes verbose, fragile code that few teams can reuse.
Plot-misc instead offers ready archetypes, including forest, survival, and volcano plots, plus heatmaps and incidence tables. It stays close to matplotlib, so users keep fine control over every element and can slot the package into existing routines. Tutorials with worked examples help new users start, and the package ships through Conda, PyPI, and GitLab for Python-based research groups.
Catalog record
| CREATOR | Amand Floriaan Schmidt, Nikita Hukerikar, Chris Finan, Marion van Vugt, Mikhail Dozmorov |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 18294 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |