Is Plotly compatible with Pandas DataFrames?

Yes, Plotly Express is specifically optimized to work with Pandas DataFrames for quick and easy data mapping.

Can I export Plotly charts to static images using this skill?

Yes, by installing the 'kaleido' package, you can export visualizations to static formats like PNG, PDF, and SVG.

What types of charts can I create with this skill?

You can create over 40 types of charts, including basic (scatter, bar), statistical (histogram, box), scientific (heatmap, 3D), and financial (candlestick, funnel).

Does this skill support interactive dashboards?

Yes, the skill includes patterns for integrating Plotly charts into Dash, which is Plotly's framework for building interactive web applications.

What is the difference between Plotly Express and Graph Objects?

Plotly Express (px) is a high-level API for quick, standard visualizations with sensible defaults, while Graph Objects (go) provide low-level, fine-grained control for complex custom figures.

Plotly Data Visualization

Name: Plotly Data Visualization
Author: Activer007

byActiver007

数据科学与机器学习

Generates interactive, publication-quality scientific and statistical visualizations for Python data analysis.

关于

This skill empowers Claude to create sophisticated, interactive charts and dashboards using the Plotly library. It provides a comprehensive framework for generating over 40 types of visualizations, ranging from basic scatter plots and line charts to complex 3D meshes, financial candlesticks, and geographic maps. By guiding Claude through the choice between Plotly Express for rapid development and Graph Objects for granular customization, the skill ensures high-quality data presentation for scientific research, financial reporting, and web-based data applications.

主要功能

Support for 40+ interactive chart types including 3D, statistical, and financial plots.
High-level API guidance with Plotly Express for rapid, DataFrame-driven visualization.
Interactive exporting to standalone HTML and static image generation (PNG, PDF, SVG).
0 GitHub stars
Granular control using Graph Objects for complex, multi-trace figure customization.
Seamless integration patterns for Dash web-based dashboards and applications.

使用场景

Visualizing complex scientific datasets with 3D surfaces, heatmaps, and contour plots.
Creating interactive financial dashboards with candlestick, waterfall, and OHLC charts.
Developing statistical reports using automated distribution, box, and violin plot generation.

关于

主要功能

Support for 40+ interactive chart types including 3D, statistical, and financial plots.
High-level API guidance with Plotly Express for rapid, DataFrame-driven visualization.
Interactive exporting to standalone HTML and static image generation (PNG, PDF, SVG).
0 GitHub stars
Granular control using Graph Objects for complex, multi-trace figure customization.
Seamless integration patterns for Dash web-based dashboards and applications.

使用场景

Visualizing complex scientific datasets with 3D surfaces, heatmaps, and contour plots.
Creating interactive financial dashboards with candlestick, waterfall, and OHLC charts.
Developing statistical reports using automated distribution, box, and violin plot generation.