一个图中的多个图 [英] Multiple plots in one figure
问题描述
我有以下代码，我想将相空间图组合成一个图形.
I have the following code and I want to combine phase space plots into one single figure.
我已经对函数进行了编码，但是我不知道如何使MATLAB将它们整合为一个图形.如您所见，变量r，a，b和d发生了变化.如何将它们结合在一起?
I have coded the functions, but I don't know how to make MATLAB put them into one figure. As you see, it is the variables r, a, b, and d that changes. How do I combine them?
我还想使用颤抖来绘制这些相空间图的矢量场.命令，但它不起作用.
I also would like to plot the vector field of these phase space plots using the quiver command, but it just does not work.
%function lotkavolterra
% Plots time series and phase space diagrams.
clear all; close all;
t0 = 0;
tf = 20;
N0 = 20;
P0 = 5;
% Original plot
r = 2;
a = 1;
b = 0.2;
d = 1.5;
% Time series plots
lv = @(t,x)(lv_eq(t,x,r,a,b,d));
[t,NP] = ode45(lv,[t0,tf],[N0 P0]);
N = NP(:,1); P = NP(:,2);
figure
plot(t,N,t,P,' --');
axis([0 20 0 50])
xlabel('Time')
ylabel('predator-prey')
title(['r=',num2str(r),', a=',num2str(a),', b=',num2str(b),', d=',num2str(d)]);
saveas(gcf,'predator-prey.png')
legend('prey','predator')
% Phase space plot
figure
quiver(N,P);
axis([0 50 0 10])
%axis tight
% Change variables
r = 2;
a = 1.5;
b = 0.1;
d = 1.5;
%time series plots
lv = @(t,x)(lv_eq(t,x,r,a,b,d));
[t,NP] = ode45(lv,[t0,tf],[N0 P0]);
N = NP(:,1); P = NP(:,2);
figure
plot(t,N,t,P,' --');
axis([0 20 0 50])
xlabel('Time')
ylabel('predator-prey')
title(['r=',num2str(r),', a=',num2str(a),', b=',num2str(b),', d=',num2str(d)]);
saveas(gcf,'predator-prey.png')
legend('prey','predator')
% Phase space plot
figure
plot(N,P);
axis([0 50 0 10])
% Change variables
r = 2;
a = 1;
b = 0.2;
d = 0.5;
% Time series plots
lv = @(t,x)(lv_eq(t,x,r,a,b,d));
[t,NP] = ode45(lv,[t0,tf],[N0 P0]);
N = NP(:,1); P = NP(:,2);
figure
plot(t,N,t,P,' --');
axis([0 20 0 50])
xlabel('Time')
ylabel('predator-prey')
title(['r=',num2str(r),', a=',num2str(a),', b=',num2str(b),', d=',num2str(d)]);
saveas(gcf,'predator-prey.png')
legend('prey','predator')
% Phase space plot
figure
plot(N,P);
axis([0 50 0 10])
% Change variables
r = 0.5;
a = 1;
b = 0.2;
d = 1.5;
% Time series plots
lv = @(t,x)(lv_eq(t,x,r,a,b,d));
[t,NP] = ode45(lv,[t0,tf],[N0 P0]);
N = NP(:,1); P = NP(:,2);
figure
plot(t,N,t,P,' --');
axis([0 20 0 50])
xlabel('Time')
ylabel('predator-prey')
title(['r=',num2str(r),', a=',num2str(a),', b=',num2str(b),', d=',num2str(d)]);
saveas(gcf,'predator-prey.png')
legend('prey','predator')
% Phase space plot
figure
plot(N,P);
axis([0 50 0 10])
% FUNCTION being called from external .m file
%function dx = lv_eq(t,x,r,a,b,d)
%N = x(1);
%P = x(2);
%dN = r*N-a*P*N;
%dP = b*a*P*N-d*P;
%dx = [dN;dP];
推荐答案
好，有几种方法可以在同一图中显示多个数据系列.
Well, there are a few ways how multiple data series can be displayed in the same figure.
我将使用一些示例数据集以及相应的颜色:
I will use a little example data set, together with corresponding colors:
%% Data
t = 0:100;
f1 = 0.3;
f2 = 0.07;
u1 = sin(f1*t); cu1 = 'r'; %red
u2 = cos(f2*t); cu2 = 'b'; %blue
v1 = 5*u1.^2; cv1 = 'm'; %magenta
v2 = 5*u2.^2; cv2 = 'c'; %cyan
First of all, when you want everything on the same axis, you will need the hold function:
%% Method 1 (hold on)
figure;
plot(t, u1, 'Color', cu1, 'DisplayName', 'u1'); hold on;
plot(t, u2, 'Color', cu2, 'DisplayName', 'u2');
plot(t, v1, 'Color', cv1, 'DisplayName', 'v1');
plot(t, v2, 'Color', cv2, 'DisplayName', 'v2'); hold off;
xlabel('Time t [s]');
ylabel('u [some unit] and v [some unit^2]');
legend('show');
您看到这在许多情况下是正确的，但是，当两个量的动态范围相差很大时(例如u的值小于1，而v的值则大得多)，这可能变得很麻烦. ).
You see that this is right in many cases, however, it can become cumbersome when the dynamic range of both quantities differ a lot (e.g. the u values are smaller than 1, while the v values are much larger).
第二，当您有大量数据或不同数量时，也可以使用 linkaxes 函数来链接x方向.在MATLAB中放大其中任何一个时，另一个将显示相同的x范围，从而可以更轻松地检查较大的数据集.
Secondly, when you have a lot of data or different quantities, it is also possible to use subplot to have different axes. I also used the function linkaxes to link the axes in the x direction. When you zoom in on either of them in MATLAB, the other will display the same x range, which allows for easier inspection of larger data sets.
%% Method 2 (subplots)
figure;
h(1) = subplot(2,1,1); % upper plot
plot(t, u1, 'Color', cu1, 'DisplayName', 'u1'); hold on;
plot(t, u2, 'Color', cu2, 'DisplayName', 'u2'); hold off;
xlabel('Time t [s]');
ylabel('u [some unit]');
legend(gca,'show');
h(2) = subplot(2,1,2); % lower plot
plot(t, v1, 'Color', cv1, 'DisplayName', 'v1'); hold on;
plot(t, v2, 'Color', cv2, 'DisplayName', 'v2'); hold off;
xlabel('Time t [s]');
ylabel('v [some unit^2]');
legend('show');
linkaxes(h,'x'); % link the axes in x direction (just for convenience)
子图确实浪费了一些空间，但是它们允许将一些数据保持在一起而不会导致图的过度填充.
Subplots do waste some space, but they allow to keep some data together without overpopulating a plot.
最后，以使用 plotyy 函数(或更好的功能: yyaxis 自R2016a起的功能)
Finally, as an example for a more complex method to plot different quantities on the same figure using the plotyy function (or better yet: the yyaxis function since R2016a)
%% Method 3 (plotyy)
figure;
[ax, h1, h2] = plotyy(t,u1,t,v1);
set(h1, 'Color', cu1, 'DisplayName', 'u1');
set(h2, 'Color', cv1, 'DisplayName', 'v1');
hold(ax(1),'on');
hold(ax(2),'on');
plot(ax(1), t, u2, 'Color', cu2, 'DisplayName', 'u2');
plot(ax(2), t, v2, 'Color', cv2, 'DisplayName', 'v2');
xlabel('Time t [s]');
ylabel(ax(1),'u [some unit]');
ylabel(ax(2),'v [some unit^2]');
legend('show');
这当然看起来很拥挤，但是当信号的动态范围有很大差异时，它会派上用场.
This certainly looks crowded, but it can come in handy when you have a large difference in dynamic range of the signals.
当然，没有什么可以阻止您同时使用以下技术:hold on和plotyy和subplot.
Of course, nothing hinders you from using a combination of these techniques together: hold on together with plotyy and subplot.
对于 quiver ，我很少使用该命令，但是无论如何，您很幸运，我不久前写了一些代码来简化矢量场图.您可以使用与上述相同的技术.我的代码远非严格，但可以这样:
For quiver, I rarely use that command, but anyhow, you are lucky I wrote some code a while back to facilitate vector field plots. You can use the same techniques as explained above. My code is far from rigorous, but here goes:
function [u,v] = plotode(func,x,t,style)
% [u,v] = PLOTODE(func,x,t,[style])
% plots the slope lines ODE defined in func(x,t)
% for the vectors x and t
% An optional plot style can be given (default is '.b')
if nargin < 4
style = '.b';
end;
% http://ncampbellmth212s09.wordpress.com/2009/02/09/first-block/
[t,x] = meshgrid(t,x);
v = func(x,t);
u = ones(size(v));
dw = sqrt(v.^2 + u.^2);
quiver(t,x,u./dw,v./dw,0.5,style);
xlabel('t'); ylabel('x');
称为:
logistic = @(x,t)(x.* ( 1-x )); % xdot = f(x,t)
t0 = linspace(0,10,20);
x0 = linspace(0,2,11);
plotode(@logistic,x0,t0,'r');
这将产生:
如果您需要更多指导，我在我的源文件中找到了链接非常有用(尽管格式不正确).
If you want any more guidance, I found that link in my source very useful (albeit badly formatted).
此外，您可能想看看MATLAB帮助，它真的很棒.只需在MATLAB中键入help quiver或doc quiver或使用我上面提供的链接(这些内容应与doc相同).
Also, you might want to take a look at the MATLAB help, it is really great. Just type help quiver or doc quiver into MATLAB or use the links I provided above (these should give the same contents as doc).
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