Does this skill support Plotly Express?

Yes, it provides full support for Plotly Express for quick visualizations with sensible defaults and Graph Objects for granular customization.

What types of specialized scientific charts are included?

It covers a wide range including heatmaps, contour plots, ternary diagrams, 3D surfaces, mesh plots, and geographic choropleth maps.

How does this skill help with Dash?

It provides integration patterns for using Plotly visualizations within the Dash web framework for building full-scale interactive web applications.

Can I export charts to static images?

Absolutely. The skill includes guidance on using Kaleido to export figures to PNG, PDF, and SVG formats, as well as standalone interactive HTML.

Plotly Scientific Visualization

Name: Plotly Scientific Visualization
Author: Microck

byMicrock

•

Ciencia de Datos y ML

Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.

Acerca de

This skill empowers Claude to create sophisticated data visualizations using Plotly's high-level (Plotly Express) and low-level (Graph Objects) APIs. It provides comprehensive guidance for over 40 chart types, including 3D surfaces, geographic maps, financial candlestick charts, and interactive statistical distributions. Ideal for data scientists and researchers, the skill helps implement best practices for chart styling, complex subplots, animations, and exporting to interactive HTML or static formats like PNG and PDF.

Características Principales

Advanced layout management including complex subplots and coordinated templates.
High-level Plotly Express integration for rapid data exploration with minimal code.
81 GitHub stars
Support for 40+ interactive chart types including 3D, geographic, and financial plots.
Low-level Graph Objects support for fine-grained control over every figure component.
Interactive feature implementation including animations, range sliders, and custom hover tooltips.

Casos de Uso

Visualizing complex scientific datasets with 3D mesh, contour, or ternary plots.
Creating interactive financial dashboards with candlestick charts and time-series range sliders.
Generating publication-ready statistical visualizations like violin, box, and distribution plots.

Acerca de

Características Principales

Advanced layout management including complex subplots and coordinated templates.
High-level Plotly Express integration for rapid data exploration with minimal code.
81 GitHub stars
Support for 40+ interactive chart types including 3D, geographic, and financial plots.
Low-level Graph Objects support for fine-grained control over every figure component.
Interactive feature implementation including animations, range sliders, and custom hover tooltips.

Casos de Uso

Visualizing complex scientific datasets with 3D mesh, contour, or ternary plots.
Creating interactive financial dashboards with candlestick charts and time-series range sliders.
Generating publication-ready statistical visualizations like violin, box, and distribution plots.