Heatmap Comparing CairoMakie to PyPlot in Julia (2024)

The most annoying problem when visualizing data as heatmaps is the data being flipped or getting reversed/rotated in a strange way when all you want is to create a heatmap that has a one-to-one correspondence with the data matrix.
In this video will show you how to turn your data arrays into a heatmap image while preserving the original data layout in two easy steps. I will use Julia's CairoMakie plotting library vs Julia's PyPlot (Python Matplotlib), and also show you a way to plot large image matrices more efficiently while preserving the order.

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Image credits:
Heatmap for Timeseries:
[https://python-graph-gallery.com/heat... heatmap is a graphical, temperature is mapped to colors](https://python-graph-gallery.com/heat....

X-ray heatmap: Figure 1: An example of visual explanation by heatmap for a medical image. Image courtesy of [Rajpurkar et al., 2017].