grplot: A Python Library for Lazy Statistical Data Visualization

Creating insightful visualizations in Python often requires verbose configuration. Matplotlib and Seaborn are robust but can demand substantial boilerplate forpublication-quality figures. grplot is an open-source library for “lazy” statistical plotting that composes complete figures—labels, legends, grids, and exports—in asingle call. It offers a unified plot2d API spanning common and specialized charts, plus domain utilities (e.g., cohort and rank-order analysis). This paper presentsgrplot’s design, features, installation, and examples—including dashboard-like multi-panel layouts using Nx/Ny—to reduce cognitive load and code volume whilepreserving flexibility.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-19
DOI
https://doi.org/10.5281/zenodo.17158571
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

grplot: A Python Library for Lazy Statistical Data Visualization

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

grplot: A Python Library for Lazy Statistical Data Visualization

article en

Abstract

Creating insightful visualizations in Python often requires verbose configuration. Matplotlib and Seaborn are robust but can demand substantial boilerplate forpublication-quality figures. grplot is an open-source library for “lazy” statistical plotting that composes complete figures—labels, legends, grids, and exports—in asingle call. It offers a unified plot2d API spanning common and specialized charts, plus domain utilities (e.g., cohort and rank-order analysis). This paper presentsgrplot’s design, features, installation, and examples—including dashboard-like multi-panel layouts using Nx/Ny—to reduce cognitive load and code volume whilepreserving flexibility.

Zenodo (CERN European Organization for Nuclear Research)
Simplot (United States) (US), Tecplot (United States) (US)
Life below water
Openalex Percentile: Top 34%
Geochemistry and Geologic Mapping
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