Improving Presentation of a Graph

Question

Hollis Williams 2019-7-13

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回答： atharva aalok 2021-10-17

I have produced a graph running some simulations which I would like to use in Powerpoints and whose presentation and professionalism I would like to improve.

There are few things I would like to change. Something is wrong with the resolution of the graph and the grid lines: I think this is due to the fact that I have printed and saved the graph as PNG image file: is there another type of file which I should save it as so the resolution and clarity is improved?

Secondly, the F_d/F_s on the y-axis needs to be in Maths font. Also, it seems like the analytic solutions I have plotted (corresponding to the coloured lines) have been drawn in a piecewise continuous way which interpolates in between the dots on the red curve, these dots correspond to the result from a numerical method. When you look at the graph you can see the curves are connected in a piecewise continuous way when they should just be smooth curves. Is there some way of fixing this? I can reproduce the relevant part of the code if necessary or can include more of the code if necessary.

figure
plot(KnA, expA, 'b')
hold
plot(KnA, slipS,'g')
fsz = 10;      % Fontsize
alw = 1.5;   % LineWidth
msz =10;       % MarkerSize
plot(KnA,gradS,'.','MarkerSize',msz,'MarkerFaceColor','blue')
plot(KnA,G13An,'r')
grid on
box on
set(gca, 'FontSize', fsz, 'LineWidth', alw);
legend('Millikan exp. data' ,'Analytic-Basset','MFS-G13', 'Analytic-G13', 'Location', 'NorthEast');
xlabel('Kn')
ylabel('F_{d} / F_{s}')
print('Youngincl','-dpng','-r300');

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dpb 2019-7-13

编辑：dpb 2019-7-13

在 MATLAB Online 中打开

There's only one (smallish) difference with the line of code --the yaxis tick "1" will be rendered as "1.0" consistent with all the rest that are one decimal place.

ML uses TeX interpreter by default for labels...

hAx=axes;                           %  make axes, return handle
hAx.YAxis.TickLabelFormat='%0.1f';  % observe what the tick labels are on x compared to y after
hAx.YAxis.TickLabelInterpreter      % display default interpreter
ans =
    'tex'

In

set(gca, 'FontSize', fsz, 'FontName', Maths, 'LineWidth', alw);

Maths will be interpreted as a variable, you need an installed font name in text in that position. What is installed on your system is, obviously, system dependent..you can look at the control panel font tools to see what you have available to you--there's nothing like 'Maths' on the system here; I'm pretty weak in that area of customization so have no idea if that's some known name or not.

As far as the question on interpolation -- it's your call what you choose to display -- as noted plot() just draws a straight line between the input points it is given--you talk about having analytical solutions -- to refine the plot you have the basic choice of either running that solution at sufficient points until you're satisfied with the appearance of the curves or, using an interpolation function to fill in the intermediate values. Those appear to be quite smooth functions so a spline or similar would be expected to be almost indistinguishable from the solution, but of course, only testing will show how good/bad it is.

It's pretty-much trivial to use, something like

xhat=linspace(kna(1),kna(end));         % get 100 points between first, last
Shat=interp1(kna,slipS,xhat,'spline');  % use spline interpolant between     
plot(KnA, slipS,'g.')                   % put points on the graph w/o line
hold on
plot(xhat,Shat,'g-')                    % add the interpolated line

Similar for other analytic values; I'd guess you might not want to draw a line at all between the purely experimental points -- that is somewhat presumptious for experimental data -- or a very light dashed one if at all for some visual clue as it, too, does seem pretty smooth so isn't too egregious of an assumption it would appear.

dpb 2019-7-14

编辑：dpb 2019-7-14

I'm certainly no whizard, no...when I did thesis and writing for publication we were still typing w/ IBM Selectrics on publication mats... :)

Best I know personally is to direct you to the documentation link https://www.mathworks.com/help/matlab/printing-and-exporting.html

and browse from there. I do know that the File/SaveAs menu item and the function saveas both are limited in resolution and size, etc., ... while print has more options available that is probably where you need to be.

But, I've never had to deal with trying to actually publish any MATLAB work in serious journals; all my work has been as consultant to individual clients who really didn't care about format; "just the facts, Ma'am!", so I've no practical experience.

Hollis Williams 2019-7-18

Hi dpb,

I've been able to sort the Maths font, resolution issues and interpolations for the graph, but am having trouble using the same interpolation procedure for a different graph. In this case, I basically plot a function against radius, and then plot 3 curves for different values of a parameter Kn in the function as follows:

bp = @(Kn) -(60*pi + 345*pi*Kn + 450*(1+pi)*Kn.^2)./(40*pi + 270*pi*Kn + 18*(25*pi + 18)*Kn.^2 + 648*Kn.^3);

ur = @(R,Kn) (1 + bp(Kn)./R - (1 + bp(Kn))./R.^3);

Knv = [0, 0.2, 1];

Rv = 1:10;

[Rm,Knm] = meshgrid(Rv,Knv);

figure

plot(Rv, ur(Rm,Knm))

grid

xlabel('R')

lgdc = sprintfc('K_n = %3.1f', Knv);

legend(lgdc, 'Location','SE')

However, this gives the below image, which clearly is composed of straight line segments as before, even though I am no longer introducing dots on the curve:

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Answer 1

Star Strider 2019-7-18

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If you want your plots to have a finer resolution with respect to ‘R’, define ‘Rv’ to have more points:

Rv = linspace(1, 10, 150);

Here it will have 150 points. You can specify any number of points you want with the third argument to linspace.

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Answer 2

Yair Altman 2019-7-22

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Regarding output quality, esp. for EPS that you mentioned - many people found the export_fig utility useful for preparing publication-quality export of Matlab figures/charts. Under the hood export_fig uses the built-in print() function, but it makes numerous small tweaks to the inputs (figure/chart properties, and print() parameters) and output (post-processing of the EPS file) that improve the resulting output file.