data-viz-plots

Name: data-viz-plots
Rating: 5 (783 reviews)
Author: Starlitnightly

Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

TL;DR

Create publication-quality plots locally using matplotlib and seaborn, compatible with any LLM provider.

What Is It

Generate scientific visualizations with matplotlib and seaborn
Create scatter, line, box, violin, and heatmap plots
Supports any LLM provider including GPT, Gemini, Claude, etc.
Executes locally in user environment

Key Features

Local execution (no cloud dependency)
Works with any LLM provider
Supports multi-panel and complex figures
High-resolution export (300 dpi)
Customizable styling and aesthetics
Includes error bars, grid, and legends
Publishable figure quality
No data upload or sharing

How to Use

1.Import libraries: matplotlib, seaborn, pandas, numpy
2.Create basic plots (scatter, line, bar, box, violin, heatmap)
3.Combine multiple plots in multi-panel figures using gridspec
4.Customize labels, titles, colors, and styling
5.Save high-DPI images for publication or reports

Guardrails & Gotchas

DO NOT share data or images outside environment
DO NOT use cloud-based visualization tools
ALWAYS use local execution with matplotlib/seaborn
ENSURE data is in correct format (long-form DataFrame for box/violin)
CHECK axis limits and labels for clarity
AVOID overplotting in dense data

GitHub Stats

Author

@Starlitnightly

Repository

Starlitnightly/omicverse

Stars

783

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