- Plot the point itself: hold on % to plot on the current figureplot(x_pos,y_pos,'r*') % adds a red asterisk at the point (x_pos,y_pos)
- Specify a value for the 'MarkerIndices' property in plot to plot a line with markers at specific data points. For example, if 'x' is your x-axis data, 'y' is your y-axis data, and you would like to create a marker at the 10th (x,y) point:p = plot(x,y,'o-','MarkerFaceColor','red','MarkerEdgeColor','red','MarkerIndices',10)
- Specify a 1-d array for the 'MarkerIndices' property to add multiple markers to the plotted line. For example, create markers at the first five points:p = plot(x,y,'o-','MarkerIndices', [1 2 3 4 5])p = plot(x,y,'o-','MarkerIndices', 1:5)
How do I add a marker at one specific point on a plot?
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I have the following plot:

I annotated a red dot at the point I would like to mark. How can I add a marker at this point?
0 Comments
Accepted Answer
  Mischa Kim
    
      
 on 1 Mar 2024
        
      Edited: MathWorks Support Team
    
 on 4 Mar 2024
  
      You can add a marker in the following ways:
See the description of the 'MarkerIndices' property under the "Name-Value Arguments" section of the documentation page for "plot": 
8 Comments
  Md Affan
 on 2 Jul 2024
				But how can I remove this from a legend? We're clearly making a new line (or dot, in this case), and we don't want to have this in our legend?
  Florian
 on 14 Nov 2024
				legend(AutoUpdate="off")  % is what you are searching
p = plot(x,y,'o-','MarkerIndices', [10 20])  
with this code the marker is not in the legend.
More Answers (3)
  Greg
      
 on 6 Dec 2017
        
      Edited: Greg
      
 on 6 Dec 2017
  
      With 7k views in a month, I'm surprised this hasn't been updated.
Starting in R2016b, there is a MarkerIndices property. Instead of the other answer's suggested:
 plot(x,y);
 hold on;
 plot(x(10),y(10),'r*');
Now simply use:
h = plot(x,y,'MarkerIndices',10);
Move the marker(s) around at any time if you've stored the handle h:
h.MarkerIndices = 5:5:length(x);
1 Comment
  MathWorks Support Team
    
 on 27 Nov 2018
				In addition, you can specify the ‘o-‘ line style, which creates a solid line and markers. You can also specify marker properties, such as the face color and edge color.
x = linspace(0,pi,30);
y = sin(x);
p = plot(x,y,'o-','MarkerFaceColor','red','MarkerEdgeColor','red','MarkerIndices',10)
  navi g
 on 9 Jan 2017
        hello, is this marking in plot is possible without writing code, and putting mark in plot in figure editor,
and for sinosoidal curve i have only x data, i dont have y data, but i need to mark on curve, means that i will give x value, based on x value it should place on curve exactly on sinosoidal curve,
1 Comment
  Walter Roberson
      
      
 on 9 Jan 2017
				For R2014b or later (I would have to check about earlier; I see some references in 2012 time frame) you can use data brushing. Click on the paintbrush in the figure and then you can click on a point to mark it.
For marking a particular location given only the x, then
x_to_mark = SomeSpecificXValue;
all_lines = findobj(gca, 'type', 'line');
number_of_marks = 0;
where_to_mark = [];
for K = 1 : length(all_lines)
  this_line = all_lines(K);
  this_xdata = get(this_line, 'XData');
  if x_to_mark < min(this_xdata) | x_to_mark > max(this_xdata)
     continue;   %the line does not span that x
  end
  x_diff = diff(this_xdata);
  if isempty(x_diff)
     fprintf('skipping line #%d that is single point\n', K);
  elseif all(x_diff > 0) | all(x_diff < 0)
     %it is monotonic, safe to do interpolation
     this_ydata = get(this_line, 'YData');
     y_to_mark = interp1(this_xdata, this_ydata, x_to_mark);
     number_of_marks = number_of_marks + 1;
     where_to_mark(number_of_marks,:) = [x_to_mark, y_to_mark];
  else
     fprintf('skipping line #%d with unsorted x data\n', K);
  end
end
if number_of_marks == 0
  fprintf('That x was not found on a line we could handle\n');
else
  hold on
  plot(where_to_mark(:,1), where_to_mark(:,2), 'r*');
end
This is probably a lot longer than you were expecting. You did not happen to provide information that we might potentially have used to make it shorter. For example if you know there is only exactly one line, and that the x were sorted when you plotted, and that the x value to mark is definitely in range, then the code could be made much shorter.
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