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hanlinlibham
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plotly

Create and visualize 2D/3D charts and maps with Plotly in Python.

1|2|Updated Feb 6, 2026
Search Tags:#charts#python#interactive#visualization#plotly#plotly-express#graph-objects
One-click install
npx skills add https://github.com/hanlinlibham/skills --skill plotly-hanlinlibham
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/hanlinlibham/skills/tree/main/plotly
Command: npx skills add https://github.com/hanlinlibham/skills --skill plotly-hanlinlibham

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plotly provides a comprehensive Python library for creating interactive and publication-quality visualizations, eliminating the friction of building charts from scratch and enabling quick sharing.

Core Features & Use Cases

  • Interactive charts with Plotly Express and graph_objects, including 2D/3D plots, maps, and dashboards.
  • Flexible customization, export options to HTML, PNG, SVG, and PDF, and seamless integration with pandas.
  • Use cases include exploratory data analysis, dashboards, scientific visualization, and geographic data exploration.

Quick Start

Install Plotly and run a simple figure command to visualize your data.

Frequently Asked Questions about plotly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create interactive Python visualizations for exploratory data analysis?▼

Build interactive Python visualizations with Plotly Express and graph_objects to generate 2D/3D charts for exploratory data analysis. You can quickly create publication-quality plots and export them to HTML or static image formats like PNG and SVG.

What is the best way to build geographic maps and 3D charts in Python?▼

The best way to build geographic maps and 3D charts in Python is using Plotly's graph_objects and Plotly Express. This approach supports seamless integration with pandas dataframes to visualize complex geographic and scientific data interactively.

Does Plotly work with pandas dataframes for dashboard visualization?▼

Yes, Plotly works with pandas dataframes for dashboard visualization, offering seamless integration to plot data directly. It supports building interactive 2D/3D charts and maps suitable for dashboard deployment.

Can I export interactive Python charts to HTML or static image formats?▼

Yes, you can export interactive Python charts to HTML or static image formats including PNG, SVG, and PDF. Plotly provides flexible customization and export options for sharing publication-quality visualizations.

When do I need Plotly Express versus graph_objects for data visualization?▼

Use Plotly Express for rapid creation of standard interactive 2D/3D charts during exploratory analysis, and switch to graph_objects when you need flexible customization for complex scientific plots or detailed dashboards.

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