How can I have smaller squares than 'grid minor' in the plot?

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Eirini Gk
Eirini Gk 2016-4-25
编辑： dpb 2016-4-26
Hello, I have a graph with many points (phase space) and I want to separate this phase space in many smaller squares so that I can count how many of there are full of dots. If I use grid minor the squares are not small enough so I tried to find other statements and ways. Teh only thing I found was this : http://www.mathworks.com/help/symbolic/mupad_ref/gridlinewidth.html (I want a plot like example one) . I wrote plot(s0,p0,GridLineWidth=0.5*unit::mm) but it doesnt recognize 'gridlinewidth' . I tried it with many ways so i dont think that i wrote something wrong. My matlab Version is 7.10.0 R2010a. Is it possible to not work because of the version? And if yes do you know if I can use something else to do what I want ?
Thank you.

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回答（1 个）

dpb
dpb 2016-4-25
Must have the Symbolic Toolbox; not sure if there's a release issue as to when the functionality was introduced; current documentation doesn't say when introduced.
You can always draw lines wherever wanted explicitly with line or set grid lines and minor grid by adjusting the {X|Y}Tick spacing. You'd have to empirically determine the proper spacing to get the number of minor ticks wanted and since the number is controlled internally may not get exactly the specific number wanted.
Also, search File Exchange to see if there's any submission there somebody may have done that solves your problem for you...(link under ML Central menu above)
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Eirini Gk
Eirini Gk 2016-4-26
No I mean that I 'draw' the lines and the smaller intervals in the plot by 'property' but I want to do it from the 'edit window' where is my function.
dpb
dpb 2016-4-26
编辑：dpb 2016-4-26
"...need to 'count' the points that I plot in every 'square'"
I don't follow that you actually need to plot anything; simply bin with counts at a specific resolution of interest. See
doc histc
ADDENDUM
Oh, if it's bivariate data, see
doc hist3
and mayhaps
doc scatterhist
which I've never used if you specify the optional NBins parameter just might also give you the plot you're looking for; not sure if it'll allow an arbitrarily fine discretization or not.

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