Color of plots when there are multiple plots

I draw multiple plots using hold on
Plot61=plot(Date,A,'LineWidth',1.2)
hold on
Plot62=plot(Date,B,'LineWidth',1.2)
hold on
Plot63=plot(Date,C,'LineWidth',1.2)
hold on
legend([Plot61, Plot62, Plot63], 'A','B','C')
In this case Matlab automatically assign colors for these three plots. But it turns out that they are not easy to distinguish. But I do not want to specify colors for each plot (because actually there are like 10 plots.) What are the steps to change the default for these automatic assignments of colors to plots?

4 Comments

Not sure you can change the order with which Matlab automatically selects colors, however you could specify a random rgb triplet for every plot. This way the colors would always be different and you would not need to specify them yourself.
Would that be a possible solution?
Would you explain how?
Just for information, it is possible to specify the color order, with MATLAB assign color, manually by using ColorOrder property of the axes object.
set(gca, 'ColorOrder', parula(10))
parula has been designed to try to make the colors visually distinctive.

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 Accepted Answer

Since you specified that you do not wish to specify the color manually, you can use:
plot(Date,A,'Color',rand([1 3]))
To create a random rgb triplet for each plot.

More Answers (1)

Although you can change the color order as I specified in the comment but for your case, the easier solution is to use the Color property of the line to manually specify the color. For example
Plot61=plot(Date,A,'LineWidth',1.2,'Color',[0.4 0.2 0.6])
The vector [0.4 0.2 0.6] represents a rgb triplet and you can change its value to change the color of the line. Note that each value in the rgb triplet vector can vary from 0 to 1.

3 Comments

Yes but when there are 10 plots. it would be a bit cumbersome to define all 10 plots.
Check the answer below @alpedhuez.
@alpedhuez, you can refer to Paolo to randomly generate rgb triplets, although there is a chance that the random triplets might generate visually similar colors. You might also want to try parula() as suggested by Walter in the comment. Just to be clear, you need to add that line before the plot() commands.

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Asked:

on 8 Jun 2018

Commented:

on 9 Jun 2018

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