pyfixest-latex

Generate LaTeX tables and figures from PyFixest econometric models.

Updated Feb 1, 2026

Search Tags:#latex #tables #figures #event-study #did #pyfixest

Ready to run

npx skills add https://github.com/Agentic-Assets/Agent-Skills --skill pyfixest-latex

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pyfixest-latex
Source: https://github.com/Agentic-Assets/Agent-Skills/tree/main/skills/pyfixest-latex
Command: npx skills add https://github.com/Agentic-Assets/Agent-Skills --skill pyfixest-latex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

PyFixest-latex provides a standalone workflow to convert PyFixest econometric outputs into publication-ready LaTeX tables and figures, accelerating manuscript preparation.

Core Features & Use Cases

Publication-ready output: generate LaTeX tables for regression results, dynamic event-study outputs, and descriptive statistics.
Professional figures: produce publication-quality event-study plots, treatment-assignment visuals, and coefficient comparisons.
Flexible integration: customizable variable labels, output directories, and multi-model/ multi-outcome support for robust reporting.

Quick Start

Run the included example to generate LaTeX outputs from PyFixest models.

Frequently Asked Questions about pyfixest-latex

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate publication-ready LaTeX tables from PyFixest regression models?▼

You can generate LaTeX tables from PyFixest regression models by applying this skill's assets for output formatting, which convert econometric outputs directly into publication-ready regression and descriptive statistics tables.

Can I create dynamic event-study plots and treatment-assignment visuals in LaTeX?▼

Yes, you can create dynamic event-study plots and treatment-assignment visuals by utilizing the skill's integration with matplotlib and scipy, producing publication-quality LaTeX figures from your econometric models.

Does this approach support multi-model and multi-outcome reporting for academic research?▼

Yes, this approach supports multi-model and multi-outcome reporting for academic research pipelines, allowing customizable variable labels and designated output directories for robust and flexible manuscript integration.

Do I need pandas and numpy installed to convert econometric outputs into LaTeX?▼

Yes, you need pandas, numpy, scipy, and matplotlib installed alongside PyFixest, as these dependencies are required to process the econometric models and format the outputs into LaTeX tables and figures.

What is the best way to format descriptive statistics and coefficient comparisons for LaTeX publication?▼

The best way to format descriptive statistics and coefficient comparisons for LaTeX publication is using this standalone workflow, which leverages pyfixest_latex assets to ensure professional and publication-quality output formatting.