When should I use Plotly instead of Matplotlib?

Use Plotly when you need interactive features like hover info, zooming, panning, or web-embeddable content. Matplotlib is better suited for static publication figures.

Can I export Plotly charts as static images?

Yes, by using the Kaleido library, you can export your interactive figures as static PNG, PDF, or SVG files for reports and publications.

What is the difference between Plotly Express and Graph Objects?

Plotly Express (px) is a high-level API for quick, standard charts with minimal code. Graph Objects (go) provides low-level, fine-grained control for complex, custom visualizations.

Does this skill support 3D and geographic mapping?

Yes, Plotly supports a wide range of specialized visualizations including 3D scatter/mesh plots and geographic choropleth, density, and scatter maps.

Plotly Interactive Visualization

Name: Plotly Interactive Visualization
Author: Weiwei-Mao

byWeiwei-Mao

Data Science & ML

Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.

About

Plotly for Claude Code is a specialized skill that empowers Claude to create interactive, web-ready visualizations using the Plotly Python library. It provides domain-specific guidance on choosing between the high-level Plotly Express API for rapid prototyping and the low-level Graph Objects API for granular control. Supporting over 40 chart types—from standard statistical plots to complex 3D surfaces and geographic maps—this skill helps developers and data scientists transform raw data into insightful, interactive experiences with built-in features like zooming, panning, and hover tooltips.

Key Features

Smart selection between Plotly Express for speed and Graph Objects for control
Comprehensive layout styling with templates and multi-plot subplots
Access to 40+ interactive chart types including 3D, maps, and financial plots
Built-in interactivity features like hover information, zoom, and pan
Support for exporting interactive HTML or static publication-quality images
0 GitHub stars

Use Cases

Creating publication-ready scientific and financial visualizations
Developing geographic maps and 3D data representations
Building interactive dashboards for exploratory data analysis

About

Key Features

Smart selection between Plotly Express for speed and Graph Objects for control
Comprehensive layout styling with templates and multi-plot subplots
Access to 40+ interactive chart types including 3D, maps, and financial plots
Built-in interactivity features like hover information, zoom, and pan
Support for exporting interactive HTML or static publication-quality images
0 GitHub stars

Use Cases

Creating publication-ready scientific and financial visualizations
Developing geographic maps and 3D data representations
Building interactive dashboards for exploratory data analysis