Heatmap Comparing CairoMakie to PyPlot in Julia (2024)
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- Опубліковано 29 вер 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:
[python-graph-g... heatmap is a graphical, temperature is mapped to colors](python-graph-g....
X-ray heatmap: Figure 1: An example of visual explanation by heatmap for a medical image. Image courtesy of [Rajpurkar et al., 2017].
Hello, can you please share the program
I believe I have uploaded it to my GitHub profile. But I’ll double check and upload this Jupyter notebook there, if I have not.
The link to my GitHub should be in this video’s description.
Thank you!
I couldn't find the repository related to heatmaps on your GitHub profile 😅.
I meant to upload it right after publishing this video. But seems like I forgot…
Wrapping up my MSc degree makes me keeping hundreds of tabs open simultaneously in my brain .:)
@@juliaifrank understandable 😂, I am actually working on Lidar datasets and I want to visualise is using Julia. I am getting trouble in removing the noise from the heatmap. Can we have a google meet?