Changing transparency of individual bars in bar

Question

Lorcan Conlon 2020-9-25

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/599512-changing-transparency-of-individual-bars-in-bar

编辑： Adam Danz 2020-9-25

I am trying to plot a 2D bar plot where I want to be able to control the transparency of individual bars. My code is as follows

bounds=categorical({'aa','bb','cc','dd','ee'});
bounds=reordercats(bounds,{'aa','bb','cc','dd','ee'});
%set(bounds,'Interpreter','latex');
legend('$\hat{\psi}$','Interpreter','latex')
vals=[1,2,3,4,5]
b=bar(bounds,vals);
b.FaceColor = 'flat';
b.CData(1,:) = [0 0 1];
b.CData(2,:) = [1 0 0];
b.CData(3,:) = [1 0 0];
b.CData(4,:) = [0 1 0];
b.CData(5,:) = [0 1 0];
b.AlphaData(1,:)=0.2
%b(1).FaceAlpha=0.2;
b.LineStyle=':';

I have tried two lines at the bottom using b.AlphaData and b(1).FaceAlpha, but these do not have the desired effect. The first gives an error and the code stops, whereas the second changes the transparency of all the bars simultaneously. Is there a way that I can for example set the 2nd and 4th plots to be transparent (e.g. 0.3) and have dotted outlines, while not changing bars 1, 3 and 5?

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Answer 1

Adam Danz 2020-9-25

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/599512-changing-transparency-of-individual-bars-in-bar#answer_500116

You can plot the bars one at a time or in groups that all have the same FaceAlpha level.

That way the bars with differen alpha levels are independent and have their own properties.

Demo:

bounds=categorical({'aa','bb','cc','dd','ee'});
bounds=reordercats(bounds,{'aa','bb','cc','dd','ee'});
%set(bounds,'Interpreter','latex');
% legend('$\hat{\psi}$','Interpreter','latex')
vals=[1,2,3,4,5];
colors = [0 0 1; 
    1 0 0; 
    1 0 0; 
    0 1 0; 
    0 1 0];
alphas = linspace(.08,.9, numel(bounds)); 
b = gobjects(size(bounds)); 
cla()
hold on
for i =1:numel(bounds)
    b(i)=bar(bounds(i),vals(i));
    set(b(i),'FaceColor',colors(i,:),'FaceAlpha',alphas(i)); 
end
grid on

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Lorcan Conlon 2020-9-25

reordercats doesn't appear to work with duplicated values however. Is there a way around this?

Adam Danz 2020-9-25

编辑：Adam Danz 2020-9-25

You shouldn't duplicate anything in the 'neworder' vector. My last comment says "do not override the categorical name until after reordering".

So,

Define the categorical values: bounds=categorical({'aa','bb','cc','dd','ee'});
Do the reordering: bounds=reordercats(bounds,{'aa','bb','cc','dd','ee'});
Now switch the cc to bb

There are lots of ways to do that. The method in my answer is just to demonstrate the main idea so you can take it from there. For example, you could do,

bounds(3) = categorical({'bb'});

but now an empty space will appear in the bar plot where cc should go.

Another method is,

Define the categorical values: bounds=categorical({'aa','bb','cc','dd','ee'});
Switch cc to bb before reordering
Do the reordering but don't include cc: bounds=reordercats(bounds,{'aa','bb','dd','ee'});