Can I use this skill to create web dashboards?

Yes, the skill includes guidance for integrating Plotly charts into Dash, the framework for building interactive web applications with Python.

Does Plotly support 3D plotting?

Absolutely. Plotly supports various 3D visualizations including scatter3d, surface, mesh, cone, and volume plots for scientific data analysis.

What is the difference between Plotly Express and Graph Objects?

Plotly Express is a high-level API designed for quick, standard visualizations with minimal code, while Graph Objects is a low-level API offering fine-grained control over every aspect of a complex figure.

Is a specific package manager required to use Plotly?

While the documentation examples use uv, Plotly can be installed using any standard Python package manager like pip or conda.

How do I export charts created with this skill?

You can export figures as standalone interactive HTML files or static images such as PNG, PDF, and SVG using the write_html and write_image methods.

Plotly Interactive Data Visualization

Name: Plotly Interactive Data Visualization
Author: pur3v4d3r

bypur3v4d3r

•

Data Science & ML

Generates interactive, publication-quality scientific and statistical charts using Plotly Express and Graph Objects.

About

This skill provides comprehensive guidance for creating interactive visualizations in Python using the Plotly library. It enables users to build everything from quick statistical plots with Plotly Express to complex, fine-grained dashboards using Graph Objects. Whether you're conducting exploratory data analysis, building financial candlestick charts, or creating 3D scientific models, this skill provides the necessary patterns for styling, interactivity, and multi-format exports including HTML and static images.

Key Features

Integrated interactivity features like hover tooltips, zooming, and animations.
Access to 40+ interactive chart types including statistical, scientific, and financial plots.
Multi-format export options for interactive HTML or static images (PNG, PDF, SVG).
1 GitHub stars
Advanced styling capabilities with built-in templates and deep layout customization.
Dual-API support for both high-level Plotly Express and low-level Graph Objects.

Use Cases

Visualizing complex scientific datasets with 3D mesh or contour plots.
Creating statistical distribution visualizations for academic publications or reports.
Building interactive financial dashboards for time-series and OHLC data analysis.

About

Key Features

Integrated interactivity features like hover tooltips, zooming, and animations.
Access to 40+ interactive chart types including statistical, scientific, and financial plots.
Multi-format export options for interactive HTML or static images (PNG, PDF, SVG).
1 GitHub stars
Advanced styling capabilities with built-in templates and deep layout customization.
Dual-API support for both high-level Plotly Express and low-level Graph Objects.

Use Cases

Visualizing complex scientific datasets with 3D mesh or contour plots.
Creating statistical distribution visualizations for academic publications or reports.
Building interactive financial dashboards for time-series and OHLC data analysis.