Which charting library does this skill use?

It primarily uses pyecharts, a powerful Python wrapper for the Apache ECharts JavaScript library, providing high-performance interactive visualizations.

Does it work with Pandas DataFrames and NumPy arrays?

Yes, it includes critical instructions for converting Pandas Series and NumPy arrays into standard Python lists to ensure they render correctly in the JavaScript-based output.

Can I customize the visual style of the charts?

Absolutely. The skill includes configurations for various themes such as 'macarons', 'shine', 'dark', and 'vintage', along with custom label rotation and currency formatting.

Can I generate standalone report files?

Yes, the skill provides specific implementation patterns for rendering self-contained HTML reports that can be shared and viewed in any modern web browser.

Pyecharts Visualization & Reporting

Name: Pyecharts Visualization & Reporting
Author: T-Klug

byT-Klug

0•

Analytics & Monitoring

Generates interactive HTML dashboards and professional data visualizations using pyecharts and Apache ECharts.

This skill equips Claude with the expertise to design and implement sophisticated data visualizations using the pyecharts library. It provides comprehensive guidance on creating a wide variety of interactive charts—including bar, line, pie, and heatmaps—and compiling them into self-contained HTML reports. The skill specifically addresses common pitfalls like JavaScript data types and browser rendering, ensuring that data from sources like AWS Cost and Usage Reports are transformed into clean, professional, and actionable visual insights.

Key Features

01Expert data conversion patterns for Pandas and NumPy compatibility

02Interactive Apache ECharts implementation via pyecharts

03Automated generation of self-contained, multi-chart HTML reports

04Built-in support for professional themes like Macarons and Dark mode

050 GitHub stars

06Advanced formatting for currency tooltips and axis label optimization

Use Cases

01Building data-driven presentations as standalone HTML files

02Generating automated AWS Cost and Usage (CUR) visual dashboards

03Creating interactive time-series reports with moving averages

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add t-klug/aws-cur-report-generator visualization

For use in Claude.ai and ChatGPT

Download Skill