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Hi @eneriz-daniel, I'm glad you find SciencePlots useful!
The IEEE style is a bit difficult to design because the plot should be readable in black & white, meaning that all of the line styles should be different. In your example, the solid black, red, blue and green lines will look identical in B&W. In Matplotlib, there are only 4 different line styles which limits the total number of lines in B&W to 4.
If you don't care about B&W readability, you can always override the ieee color cycle:
plt.style.use(['science', 'ieee', 'std-colors'])
In this example, we still get the formatting of the ieee style (figure size, font, etc.) but std-colors overrides the ieee color cycle.
Note: std-colors isn't in the latest release yet. You need to install from the GitHub repo.
Hi! Just discovered this repo and love how helpful it is.
I've noticed the IEEE style has a detail that is annoying me. The default plot styles are this ones:
![ieee-default](https://user-images.githubusercontent.com/57150162/111449610-d7389180-870f-11eb-8eaf-c7932fb66655.png)
So it only allows up to 4 different plot styles. I've tried to change the cycles order using
to get the linestyles to iterate over the colors, creating up to 16 new ploting styles.
![ieee-new-cycler](https://user-images.githubusercontent.com/57150162/111450141-62b22280-8710-11eb-86bf-1b87a5f62c05.png)
Maybe you want to change it in the repo.
Thanks for sharing your work!
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