plotly

Name: plotly
Availability: InStock
Author: hanlinlibham

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

Ready to run

npx skills add https://github.com/hanlinlibham/skills --skill plotly-hanlinlibham

💬 Prompt for ChatGPT / Claude Chat▼

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.