# How can I create a bubble different size plot?

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Hi,

I have two vectors with too many data (10000 x 1), I want to create a different size bubble plot, I guess I'd to reduce that data to two new vectors for data plot and one more for bubble size but I'm not sure. Hope you can suggest me.

Thanks

##### 0 Comments

### Accepted Answer

arich82
on 11 Dec 2015

Edited: arich82
on 11 Dec 2015

[Edit to correct labels; also, note that no toolboxes are necessary.]

See if this works for you. It combines the heat map and bubble plot I mentioned earlier.

load('speed_load.mat');

x = i_Engine_Speed;

y = i_Instantaneous_Percent_Load;

xbins = 600:100:2200;

ybins = 0:10:100;

% map vals to inds

% over-range vals are truncated instead of extrapolated

xi = interp1(xbins, 1:numel(xbins), x, 'nearest', numel(xbins));

yi = interp1(ybins, 1:numel(ybins), y, 'nearest', numel(ybins));

% make 2-d hist (heatmap) using accumarray

H = accumarray([yi(:), xi(:)], 1, [numel(ybins), numel(xbins)]);

% generate plot

hf = figure;

ha = axes;

ylabel('Instantaneous Load [%]')

xlabel('Engine Speed [RPM]');

axis([xbins(1), xbins(end), ybins(1), ybins(end)]);

hold(ha, 'all');

% plot heat map

hi = imagesc(xbins, ybins, H); % could use pcolor, but edges are wonky

% set(ha, 'YDir', 'normal'); % correct y-axis direction after imagesc

% plot circles

[Xbins, Ybins] = meshgrid(xbins, ybins);

ind = H(:) > 0;

scatter(Xbins(ind), Ybins(ind), H(ind).^1.1, [0, 0, 1])

### More Answers (4)

Prasad Kalane
on 11 Dec 2015

Edited: Prasad Kalane
on 11 Dec 2015

I am not getting your Total idea. but try using following

>> plot(rand(1,10),'bo','MarkerEdgeColor','k','MarkerFaceColor','g','MarkerSize',10)

>> hold on

>> plot(rand(1,8),'ro','MarkerEdgeColor','k','MarkerFaceColor','m','MarkerSize',20)

##### 0 Comments

Joseph Cheng
on 11 Dec 2015

you are best off not using markersize. Markersize is unitless and there is not many explanations on how to set it to correspond to the y or x axis. it can be used if you want to display the items relatively. for instance big vs medium vs small dots. One way around this is to use rectangle. in the example i have below i show markersize not working and in figure 2 use of rectangle.

x = [1 10 100];

y = zeros(size(x));

r = x/2;

figure(1), clf, hold on

for ind = 1:numel(x)

plot(x(ind),y(ind),'bo','markersize',r(ind));

end

figure(2),clf,hold on

for ind = 1:numel(x)

radius = r(ind);

centerX = x(ind);

centerY = y(ind);

rectangle('Position',[centerX - radius, centerY - radius, radius*2, radius*2],...

'Curvature',[1,1],...

'FaceColor','none');

end

axis square

only issue here is that you'll have to make the axis square or equal

x = randi(2000,1,40);

y = randi(4000,1,numel(x))-2000

r = randi(500,1,numel(x))

figure(2),clf,hold on

for ind = 1:numel(x)

radius = r(ind);

centerX = x(ind);

centerY = y(ind);

rectangle('Position',[centerX - radius, centerY - radius, radius*2, radius*2],...

'Curvature',[1,1],...

'FaceColor','none');

end

axis equal

##### 1 Comment

Joseph Cheng
on 11 Dec 2015

Edited: Joseph Cheng
on 11 Dec 2015

Luis Lopez
on 11 Dec 2015

##### 1 Comment

arich82
on 11 Dec 2015

Edited: arich82
on 11 Dec 2015

[Edit. Meant to ask: what do you want done with values over 100%? Is 101.172% meaningful, or do you want bins to limit it to 100%?]

A couple of notes: your data has 10589 points; your x-data i_Engine_Speed has 5431 unique values; your y-data i_Instantaneous_Percent_Load has only 254 unique values. However, using unique(..., 'rows'), you have 9169 unique points.

Since you seem to have much greater resolution in x than y, you'll need to choose your bin sizes carefully...

I wonder if a heat-map might be more appropriate than the circle plot. If you have a more recent version of Matlab and the appropriate toolboxes (I do not), you might consider bar3 or a HeatMap; otherwise, you can search the FEX (I've never used any of these functions).

If you're really set on circles, however, you should be able to do this with the third input to scatter.

Mike Garrity
on 11 Dec 2015

Do you mean something like this?

Here's how I did that:

% Load data

load C:\Users\mgarrity\Downloads\speed_load.mat

% File appears to only have a single dependent var, so make up another

extra_var = randn(size(i_Engine_Speed));

% Histogram the engine speed, and keep the bins

[~,edges,bin] = histcounts(i_Engine_Speed);

nbins = length(edges)-1;

% Turn bin edges into bin centers

x = conv(edges,[.5 .5],'valid');

% Make two arrays to accumulate Y and Size into

y = zeros(1,nbins);

s = zeros(1,nbins);

for i=1:nbins

% Pull out the values for engine speeds in the current bin

mask = bin==i;

tmp_y = i_Instantaneous_Percent_Load(mask);

tmp_s = extra_var(mask);

% Accumulate the values. Use whatever function you like here

y(i) = mean(tmp_y);

s(i) = mean(tmp_s);

end

% Come up with a scale factor for size. Scatter wants points^2.

min_size = 1;

max_size = 200;

range = [min(s) max(s)];

s = min_size + (s - range(1)) * (max_size-min_size) / (range(2)-range(1));

% Plot using scatter

scatter(x,y,s)

grid on

ylabel('Percent load')

##### 2 Comments

Mike Garrity
on 14 Dec 2015

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