CODEWITHSUNDEEP
pythonjupyter-notebookseaborn
Andrew Allen
Andrew Allen

Reputation: 8002

Stacked heatmaps - seaborn solution?

EDIT: For some reason I've been downvoted twice for posting this question (it hurts ppl) so I've rejigged it.

How do you combine multiple heatmaps in a stacked way with same color scale like to following image? Additionally, does anyone know how to create the Augmented suffix tree?

Background:

I've worked through the python jupyter notebooks at the following link on how to create the heatmaps of (any) daily consumption profiles using seaborn http://www.datadrivenbuilding.org/ ...however there's a realllllllly cool combination graphic I'd love to be able to reproduce.

Get a better browser fool!

Upvotes: 0

Views: 466

Answers (1)

Rob Bricheno
Rob Bricheno

Reputation: 4653

That image is an edited version of an image from this paper:

C. Miller, Z. Nagy, A. Schlueter, Automated daily pattern filtering of measured building performance data, Automation in Construction 49, Part A (2015) 1–17. doi:10.1016/j.autcon.2014.09.004. URL http://www.sciencedirect.com/science/article/pii/S0926580514002015

They came up with the visualisation techniques themselves and describe them there. It looks like C. Miller is the one who wrote the notebook that you already found that shows how to draw the stacked heatmaps.

The augmented suffix tree is a type of visualization called a Sankey Diagram. You can plot these very beautifully using Plotly for example, or pySankey if you want to use matplotlib.

Upvotes: 2

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