Dendrogram

Dendrogram for clustering with `Matplotlib`

The first chart of this section explains how to build a basic dendrogram with Python andmatplotlib. It starts from a numeric matrix, compute the similarity between each pair of item thanks to the linkage() function and plot the result with the dendrogram() function.

Most basic dendrogram and clustering with Python and Matplotlib

The next post explains how to customize the output: change node and edge features like color and shapes, select a specific part of the tree and more.

Most basic dendrogram and clustering with Python and Matplotlib

Horizontal dendrogram

Cut the dendrogram at a specific height

Dendrogram, clustering and heatmaps with `Seaborn`

It is very common to display the results of a clustering using a heatmapwith dendrograms around it. Fortunately the Seaborn library makes it a breeze.

The examples below will guide you through the most usual needs. Note however that data normalization should be your main focus here, as it can massively impact the final visual result. (See this post for that).

A seaborn heatmap with clusterization and dendrogram applied

Most basic heatmap with dendrogram with seaborn

Change color palette

Learn how to normalize data in the heatmap, avoiding that kind of result

Dendrogram for hierarchical datasets

Dendrogram can also be used to display a hierarchy. A hierarchy as a root node that gets divided in several children and so on.

TODO

🚨 Grab the Data To Viz poster!

Do you know all the chart types? Do you know which one you should pick? I made a decision tree that answers those questions. You can download it for free!

ℹ ️ Two types of dendrogram

Dendrogram for clustering with Matplotlib

Dendrogram, clustering and heatmaps with Seaborn

Dendrogram for hierarchical datasets

Part Of A Whole

🚨 Grab the Data To Viz poster!

Dendrogram for clustering with `Matplotlib`

Dendrogram, clustering and heatmaps with `Seaborn`