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plotly

Generate interactive Plotly visualizations in Python from dataframes.

1|Updated Jan 14, 2026
Search Tags:#dashboards#charts#data analysis#visualization#plotly#interactive plots
One-click install
npx skills add https://github.com/Sologa/codex-pipeline --skill plotly-sologa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/Sologa/codex-pipeline/tree/main/.codex/skills/plotly
Command: npx skills add https://github.com/Sologa/codex-pipeline --skill plotly-sologa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers users to generate dynamic, interactive charts and visualizations from their data, making complex information easier to understand and explore.

Core Features & Use Cases

  • Interactive Charts: Create plots with hover info, zoom, pan, and web-embeddable capabilities.
  • Versatile Chart Types: Supports 40+ chart types including scatter, line, bar, heatmap, 3D plots, and maps.
  • Use Case: Visualize sales data over time with interactive tooltips, allowing stakeholders to hover over points to see exact figures, zoom into specific periods, and easily share the visualization online.

Quick Start

Use the plotly skill to create a scatter plot from the dataframe 'df' with 'x' on the x-axis and 'y' on the y-axis.

Frequently Asked Questions about plotly

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

FAQPage Schema
How do I create interactive plots from a Python dataframe?▼

You can create interactive plots using the Plotly library in Python, which supports hover info, zoom, pan, and web-embeddable capabilities for exploratory data analysis directly from your dataframe.

What is the difference between Plotly Express and Graph Objects for data visualization?▼

Plotly Express is a high-level API for quick, easy chart generation, while Graph Objects is a low-level API providing detailed customization options for presentation-ready interactive graphics.

Can I use Python to generate 3D plots and heatmaps for data analysis?▼

Yes, you can generate 3D plots and heatmaps in Python using this visualization library, which supports 40+ versatile chart types including scatter, line, bar, maps, and 3D plots for data analysis.

How do I build interactive dashboards with presentation-ready charts?▼

You build interactive dashboards by generating dynamic charts with tooltips and web-embeddable capabilities, allowing stakeholders to hover over data points, zoom into specific periods, and easily share visualizations online.

Do I need any specific dependencies installed to create interactive data visualizations?▼

No external dependencies are required. You can generate interactive data visualizations using the Plotly library in Python without needing to install additional prerequisite packages or environment setup tools.

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