Hold on function doesn't work

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Shiri Ben Artzi
Shiri Ben Artzi 2020-10-29
回答: the cyclist 2020-10-29
Hello guys,
I'm at the end of my wits here.
I need to add a dashed line at a constant to a plot using the hold on function.
This is the function: V(t) = V_rest+I.*R.*(1-exp(1).^(t/theta)).
Plotting it works, but then I need to add to constant horizontal dashed line, preferably using "hold on" function. Nothing I do works.
Can any one help? (I have R2020b)
  3 个评论
the cyclist
the cyclist 2020-10-29
It would also be helpful if you told us sample inputs that you used, instead of us needing to guess at that.
Shiri Ben Artzi
Shiri Ben Artzi 2020-10-29
only restrictions are V_rest<0, R, theta>0
tried many options, all won't work
exmp ex1_ID1_ID2_Q4(-0.5, 2, 2.5, -0.3, 1.5)

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回答(3 个)

Image Analyst
Image Analyst 2020-10-29
If you use yline() you don't need to use hold on. If you use plot(), you DO need to use hold on. Try this demo which shows you both ways to do it:
% First set up the plot.
t = linspace(0, 1, 1000);
theta = 1;
V_rest = -1;
R = 1;
I = 1;
V = V_rest+I.*R.*(1-exp(1).^(t/theta));
plot(t, V, 'b-', 'LineWidth', 2);
grid on;
title('V vs. t', 'FontSize', 18);
xlabel('t', 'FontSize', 18);
ylabel('V', 'FontSize', 18);
% Now plot is setup and we can draw the horizontal lines at a constant value.
% Option 1 : plot red dashed line at V = -2 using yline(). "hold on" is NOT needed if you use yline().
yline(-2, 'LineStyle', '--', 'Color', 'r', 'LineWidth', 2);
% Option 2 : plot magenta dashed line at V = -2.5 using plot(). In this case, "hold on" is needed.
hold on;
plot(xlim, [-2.5, -2.5], 'm--', 'LineWidth', 2);
hold off;

Michael Houston
Michael Houston 2020-10-29
Try refline() or yline() instead of plot().
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the cyclist
the cyclist 2020-10-29
The problem with your code is not with the hold command. The problem is the syntax to plot the line. You plotted a 1x200 vector against a scalar, which does not do what you expect.
Try this instead:
plot(t,tau*ones(size(t)),'LineWidth',2)
I increased the line width so that it would show up more prominently.

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