Pre-determine plot ranges?

Given two vectors of the same length is there a way to determine the axes ranges that would result if the data were plotted without plotting the data?
I am looking to update xlim and ylim manually after the plotted data is changed* but with out relying on the automatic resizing as there are other things plotted that I dont want to be used in determining the plot ranges. Also I would rather not redraw the entire figure with just the modified data then redraw the larger thing.
(plotted data is changed*: I am manipulating the XData and YData parameter of plotted data directly with a handle.)

 采纳的回答

Adam Danz
Adam Danz 2019-8-21
编辑:Adam Danz 2019-8-21
If vector1 and vector1 are the x and y values to be plotted, the xlim and ylim for a tight axis would be,
xlim([min(vector1), max(vector1)]);
ylim([min(vector2), max(vector2)]);
If you'd like to access those values from the line object handle 'h',
xlim([min(h.XData), max(h.XData)]);
ylim([min(h.YData), max(h.YData)]);
If you'd like to add 5% of the data range on each side so your max and min data points are not on the axis edges,
xlim([min(x),max(x)] + [-1,1]*.05*range(x))
ylim([min(y),max(y)] + [-1,1]*.05*range(y))

4 个评论

Tight axes will look bad for this application,
By default ML does some nice rounding/flooring/ceiling-ing/ to get good tickmarks ranges with some buffer around the edges of the plot. I am hoping to precalculate something like what axis returns below.
>> xx = [-0.01, 1, 2.2]; yy = [0.2 3.01, 2];
>> plot(xx,yy)
>> axis
ans =
-0.5 2.5 0 3.5
edit:
I think this might work
>> aa = [min(xx), max(xx)] + [-1,1] .* mean(diff(get(gca, 'xtick')))
aa =
-0.51 2.7
>> bb = min(diff((get(gca, 'xtick')')))
bb =
0.5
>> round(aa./bb)*bb
ans =
-0.5 2.5
Was hoping there was a direct way. Above looks to work with larger magnitudes of data. thanks for the help.
The 3rd block of code in my answer will add a buffer around your data so the axes are not "tight". If you'd like to take that a step further and make sure the axis limits begin and end at a certain interval (like multiples of 0.5) you easily round those limits.
Here's a demo.
int = 0.5;
xl = [floor(min(x)/int)*int,ceil(max(x)/int)*int];
yl = [floor(min(y)/int)*int,ceil(max(y)/int)*int];
xlim(xl)
ylim(yl)
Your proposal requires that an axis already exists. If you want to base "int" from my solution on the axis tick interval,
int = mean(diff(get(gca,'xtick')));
xl = [floor(min(x)/int)*int,ceil(max(x)/int)*int];
yep good edit. initilization wont be a problem and the changed data points will be of the same magnitude so reusing tick should work.

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