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jack89roberts avatar jack89roberts commented on May 25, 2024 1

Ah ok, I'll leave this open but not something I'll get to fixing immediately, it needs a proper solution for scaling the fontsize to fit within the shapes, which isn't something matplotlib gives out the box as far as I know.

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jack89roberts avatar jack89roberts commented on May 25, 2024

Hi @abubelinha , I've released a new version (v1.3.1) that should both fix the bug with using it for fewer than 9 colours (hopefully), but also adds a fontsize argument so you can change it manually. Let me know if it works!

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abubelinha avatar abubelinha commented on May 25, 2024

Thanks a lot.
I tried a normal pip installation upgrade but it didn't change my version.
I guess I must install from repository, correct?
(I am not very used to that so I'll check my notes on how I did it in the past)

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abubelinha avatar abubelinha commented on May 25, 2024

OK, I could upgrade it to 1.3.1 this way (just for my record):

pip install --upgrade https://github.com/alan-turing-institute/distinctipy/archive/master.zip

It works great now, except that default-size text goes beyond top when selecting just one color (nothing really important):

color_swatch_1-colors

Still haven't tried fontsize argument but I'll do.
Thanks a lot for your quick answer!!

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jack89roberts avatar jack89roberts commented on May 25, 2024

@abubelinha I think that should be fixed now too if you upgrade again (to 1.3.3), if not I'll re-open the issue as something to look into again in the future because I never really found a good solution for getting the sizing etc. right, it's pretty hacky. Thanks for posting the issue!

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abubelinha avatar abubelinha commented on May 25, 2024

Thanks a lot. It works OK for my simple tests.

I find issues again with default font size when increasing the number of subplots: i.e. combining color_swatch(1), color_swatch(2) ... color_swatch(n) in the same plot.
That's probably not a good idea and I am not really needed to do that (also, passing fontsize=8 solves the problem).
I just want to let you know.

	import distinctipy, matplotlib.pyplot as plt
	maxcolors = 9
	fig, axes = plt.subplots(maxcolors, 1, figsize=(6, 6))
	for i in range(0,maxcolors):
		colors = distinctipy.get_colors(i+1)
		print(colors,"\n",textcolors)
		distinctipy.color_swatch(colors, show_text=True, ax=axes[i], title="colors={}".format(i+1), 
			text_threshold=0.5
			# , fontsize=8
			)
	plt.show()

maxcolors = 5

color_swatch_1-5-colors

maxcolors = 9

color_swatch_1-9-colors

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