# xline - draw a partial line

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Is there an easy way to get an xline plot for an array of X values, but with the line only taking up the first or last 10% of the Y axis? It's for this plot, where plotting the whole line is obscuring the blue data too much..

This is for a script where the Y axis is logarithmic and its values are not always the same. I could plot the lines in a loop, having calculated the appropriate Y values. But is there a simpler way?

##### 3 Comments

Voss
on 10 Jan 2024

Edited: Voss
on 10 Jan 2024

@dormant: How about putting the black vertical lines beneath the blue line, so that the blue line is not obscured? That can be done: (1) by plotting the black lines before the blue line, or (2) by reordering the lines in the axes Children property after they are plotted, e.g. using uistack or setting the Children property directly.

Example:

% plot a thick line and a thin line on top:

figure()

h_thick = plot(1:10,'LineWidth',10);

hold on

h_thin = plot(1:10,'LineWidth',2);

% thin line is 1st in axes Children (most recently created):

ax = gca();

ch = get(ax,'Children');

ch == h_thin

% new figure and axes (only necessary for demonstration in Answers):

ax = copyobj(ax,figure());

% get the new handle of the thin line (also only necessary for

% demonstration in Answers):

ch = get(ax,'Children');

h_thin = ch(1);

% reverse the order of the axes Children:

set(ax,'Children',flip(get(ax,'Children')));

% now the thin line is underneath the thick one,

% and the thin line is last in Children:

ch = get(ax,'Children');

ch == h_thin

### Accepted Answer

Dyuman Joshi
on 10 Jan 2024

You will have to do that manually -

%Sinosuidal data for example

x = 0:0.01:10;

y = sin(x);

plot(x, y, 'LineWidth', 2)

%Generate random values to put xlines

X = randi(20, 1, 10)/2

y1 = -0.2;

y2 = 0.3;

%Draw xlines for the values in X, extending from y1 upto y2

hold on

plot([X; X], [y1; y2], 'k')

##### 1 Comment

Voss
on 10 Jan 2024

@dormant: Note that this method produces one line object for each x value. As you can see below h is an array of 10 lines:

figure; rng(11)

% Sinosuidal data for example

x = 0:0.01:10;

y = sin(x);

plot(x, y, 'LineWidth', 2)

% Generate random values to put xlines

X = randi(20, 1, 10)/2

y1 = -0.2;

y2 = 0.3;

% Draw xlines for the values in X, extending from y1 up to y2

hold on

h = plot([X; X], [y1; y2], 'k') % 10 lines

Having too many graphics objects that MATLAB needs to render can make your GUI sluggish to interact with. Therefore, in general it's a good idea to minimize the number of graphics objects you create.

To that end, you can achieve the same effect as above with a single line object by taking advantage of how NaNs are represented in lines (NaNs make gaps). Here's the same example, but with one line object for all vertical lines:

figure; rng(11)

% Sinosuidal data for example

x = 0:0.01:10;

y = sin(x);

plot(x, y, 'LineWidth', 2)

% Generate random values to put xlines

X = randi(20, 1, 10)/2

y1 = -0.2;

y2 = 0.3;

% Draw xlines for the values in X, extending from y1 up to y2

hold on

N = numel(X);

X_plot = [X; X; NaN(1,N)];

Y_plot = repmat([y1; y2; NaN],1,N);

h = plot(X_plot(:),Y_plot(:), 'k') % one line

### More Answers (3)

Mathieu NOE
on 10 Jan 2024

hello

I am not aware that a special version of xline exist , but you can do your own special xline like that (a very crude and simple code that you can save as a function for future massive use) :

simply try with different a and b values to adjust the amount of blank around the data curve

% dummy data

n = 1000;

t = (0:n-1)/n;

y = 0.1 + sin(pi*t/max(t)).^3.*abs(sin(2*pi*10*(t+1*t.^3))); % signal

[PKS,LOCS] = findpeaks(y,t,'SortStr','descend','NPeaks',15);

figure(1)

ylimits = [1e-2 1e1];

semilogy(t,y,'b',LOCS,PKS,'.r','linewidth',2,'markersize',25);grid on

% add my special vertical lines

a = 0.25; % factor on the lower portion (must be < 1)

b = 1.25; % factor on the upper portion (must be > 1)

hold on

for k = 1:numel(PKS)

plot(LOCS(k)*ones(2,1), [ylimits(1) a*interp1(t,y,LOCS(k))],'--k','linewidth',0.5);

plot(LOCS(k)*ones(2,1), [b*interp1(t,y,LOCS(k)) ylimits(2)],'--k','linewidth',0.5);

end

ylim(ylimits);

hold off

##### 0 Comments

dormant
on 11 Jan 2024

##### 1 Comment

Image Analyst
on 12 Jan 2024

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