Heatmaps

Lesson in the Python for Data Analysis Roadmap · Stage 12: Seaborn

Last updated 14 September 2026

What is Heatmaps?

sns.heatmap() visualizes matrix-style data using color intensity. It is most commonly used to display correlation matrices and pivot tables. Color maps, annotations, and masking options allow the heatmap to be customized for readability. Heatmaps are an effective way to show patterns across two categorical dimensions.

Study this in the interactive course See the whole Python for Data Analysis roadmap

Free resources to learn Heatmaps

Official docsseaborn.heatmap
ArticleData Visualization with Seaborn: Heatmaps
VideoSeaborn heatmap | How to make a heatmap in Python Seaborn and adjust the heatmap style

Heatmaps: common questions

Can I learn Heatmaps in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Heatmaps in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Heatmaps tutorial for beginners?

It is lesson 89 of 112 in the free Python for Data Analysis roadmap, in stage 12, Seaborn. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.