I'm using three axes-Objects to scale my data on the x-axis.
My problem is that i do not know how to get a nice legend for the three plots.
I have to do this cause my real data is sampled with different sample rates.
I edited my m-file for the diagram slightly cause normally I'm reading the data out of some txt files.
In this example i used example_data 1 to 3 for my data.
In this example I'm scaling the example_data1 so it looks like the same frequency as example_data2.
I do the 'scaling' ax1.XLim = [0 length(x2)].
That's why this solution doesn't work for me: Plot with multiple axes but only one legend.
It uses set(l3,'Parent',ax2); which somehow ruins my approache to scale my data. The scaling is the only solution to my problem cause i don't know the exact relation between the two sampling rates.
my code:
example_data1 = repmat(1:100,1,10);
example_data2 = 2 * repmat(1:0.5:100.5,1,5);
example_data3 = [1:500 500:-1:1];
whole_length_data1 = length(example_data1);
% 1. step
start_of_data = 1;
end_of_data = 1000;
% data2
y2 = example_data2(start_of_data:end_of_data);
x2 = 0:length(y2)-1;
% data3
y3 = example_data3(start_of_data:end_of_data);
x3 = 0:length(y3)-1;
% data1
y1 = example_data1(1:length(example_data1));
x1 = 0:length(y1)-1;
% 2. step
start_one = 1;
y1 = example_data1(start_one:length(example_data1));
x1 = 0:length(y1)-1;
% 3.step
end_one = whole_length_data1 - 500;
y1 = example_data1(start_one:end_one);
x1 = 0:length(y1)-1;
Farbe1 = [0,1,0]*0.6; % Dunkelgrün
Farbe2 = [1,0,0]*0.8; % Dunkelrot
Farbe3 = get(groot,'DefaultAxesColorOrder') % default values
Farbe3 = Farbe3(1,:); % 1. Zeile der defaultvalues
figure(1)
% 3 axes
clf
%------------------------------------------------------------------
%-------------------------- plot1: ---------------------------
%------------------------------------------------------------------
plot(x2,y2,'green','LineWidth',2,'Color',Farbe1,...
'DisplayName','name of the first plot')
ax1 = gca;
ax1.XLim = [0 length(x2)]
ax1.YLim = [min(y2) max(y2)]
ax1.YTick = [0:25:300]
ax1.FontSize = 12;
legend('show')
%----------------------------------------------------------------
%-------------------------- plot2: --------------------------
%----------------------------------------------------------------
ax2 = axes('Position',ax1.Position);
plot(x3,y3,'blue','LineWidth',2,'Color',Farbe3,...
'DisplayName','plot2')
ax2.Color = 'none';
ax2.XTick = [];
ax2.XLim = [0 length(x3)];
ax2.YAxisLocation = 'right';
ax2.FontSize = 12;
legend('show')
%----------------------------------------------------------------
%-------------------------- plot3: -------------------------
%----------------------------------------------------------------
ax3 = axes('Position',ax1.Position);
plot(x1,y1,'red','LineWidth',2,'Color',Farbe2,...
'DisplayName','3')
ax3.XTick = [];
ax3.YTick = [];
ax3.Color = 'none';
ax3.XAxisLocation = 'top';
ax3.YAxisLocation = 'right';
ax3.XLim = [0 length(x1)];
ax3.YLim = [min(y1) max(y1)*2];
legend('show')
This results in a very bad looking legend:
I really hope somebody can help me.
Thank very much.
You can get better results by storing handles for each of your plot lines, then passing those to a single legend call:
...
h1 = plot(x2,y2,'green','LineWidth',2,'Color',Farbe1,...
'DisplayName','name of the first plot');
...
h2 = plot(x3,y3,'blue','LineWidth',2,'Color',Farbe3,...
'DisplayName','plot2');
...
h3 = plot(x1,y1,'red','LineWidth',2,'Color',Farbe2,...
'DisplayName','3');
...
hl = legend(ax3, [h1 h2 h3]); % Place legend in top-most axes
And here's the result:
Just use the real timestamps as x values:
fig = figure;
plot(x1/length(y1)*end_of_data, y1, 'LineWidth',2, 'Color',Farbe1, 'DisplayName','First plot')
hold on
plot(x2/length(y2)*end_of_data, y2, 'LineWidth',2, 'Color',Farbe2, 'DisplayName','Second plot')
plot(x3/length(y3)*end_of_data, y3, 'LineWidth',2, 'Color',Farbe3, 'DisplayName','Third plot')
legend
Related
So I have a task to do for university to filter High frequency signals in MATLAB. I wrote code for it but it doesn't filter correctly. This is my code:
A1 = 7;
A2 = 10;
A3 = 2;
f1 = 934;
f2 = 232;
f3 = 844;
th1 = 5*pi/4;
th2 = pi/4;
th3 = 5*pi/8;
M = 21;
T = 0.7823;
T1 = 0.0331;
T2 = 0.08;
fd = 6395;
K = 3;
Td = 1/fd; % diskretizavimo periodas
N = fix(T/Td); %modeliuojamo signalo reiksmiu skaicius
t = (0:N-1)*Td;
y = A1*sin(2*pi*f1*t + th1)+A2*sin(2*pi*f2*t + th2);
df = 1/T;
Nf=fd/df;
frib=(f1+f2)/2;
Wn = frib/fd;
b = fir1(M, Wn, 'high');
N2=Nf/2;
fasis = (0:Nf-1)*df;
filt_y = filter(b,1, y);
FILT_Y = abs(fft(filt_y, Nf));
figure(17)
subplot(2,1,1)
plot(t(1:T1*2/Td),filt_y(1:T1*2/Td));box('off'); axis tight;
set(gca, 'fontsize', 12); title('Filtruotas sinusu sumos signalas')
subplot(2,1,2)
stem(fasis(1:N2),FILT_Y(1:N2),'.');box('off'); axis tight;
set(gca, 'fontsize', 12); title('Filtruoto sinusu sumos signalo spektras')
frib is the cut-off frequency
And these are my diagrams:
Can you please tell me what can I do to make only one visible in the second diagram (near 1000 freq)? I don't know what I could do more
If you see the Fourier components of your signal before and after, you can clearly see how the first main frequency gets hugely reduced:
noFILT_Y = abs(fft(y, Nf));
subplot(2,1,2)
stem(fasis(1:N2),FILT_Y(1:N2),'.');box('off'); axis tight;
subplot(2,1,1)
stem(fasis(1:N2),noFILT_Y(1:N2),'.');box('off'); axis tight;
But if you follow #irreducible's suggestion:
Wn = frib/(fd/2);
I want to do a classification on RGB image using sparse recovery and for now, I want to create some dummy random samples. Thus, I have found the following code and since I am very new in the octave I do not understand the code properly.
Would be nice if someone can give a command for the sections after reshaping the image.
here is the code:
A = imread('demo2.jpg');
B = (A(301:800, 1:400,:));
figure(1)
image(B); axis on; axis equal
%3dim plot
D1 = B(1:50,1:50,:);
D2 = B(1:50,151:200,:);
D3 = B(151:200,351:400,:);
figure(2); %Pflanze
image(D1); axis on; axis equal
figure(3); %Haar
image(D2); axis off; axis equal
figure(4); %Haut
image(D3); axis off; axis equal
%sampling at random N per class
N = 50;
idx2d_D1 = ceil(rand(N,2)*50);
idx2d_D2 = ceil(rand(N,2)*50);
idx2d_D3 = ceil(rand(N,2)*50);
test_vec_D1 = zeros(N,3);
for k=1:N
test_vec_D1(k,1) = D1(idx2d_D1(k,1),idx2d_D1(k,2),1);
test_vec_D1(k,2) = D1(idx2d_D1(k,1),idx2d_D1(k,2),2);
test_vec_D1(k,3) = D1(idx2d_D1(k,1),idx2d_D1(k,2),3);
end
test_vec_D2 = zeros(N,3);
for k=1:N
test_vec_D2(k,1) = D2(idx2d_D2(k,1),idx2d_D2(k,2),1);
test_vec_D2(k,2) = D2(idx2d_D2(k,1),idx2d_D2(k,2),2);
test_vec_D2(k,3) = D2(idx2d_D2(k,1),idx2d_D2(k,2),3);
end
test_vec_D3 = zeros(N,3);
for k=1:N
test_vec_D3(k,1) = D3(idx2d_D3(k,1),idx2d_D3(k,2),1);
test_vec_D3(k,2) = D3(idx2d_D3(k,1),idx2d_D3(k,2),2);
test_vec_D3(k,3) = D3(idx2d_D3(k,1),idx2d_D3(k,2),3);
end
figure(5)
%pointset
X1 = [test_vec_D1'];
X2 = [test_vec_D2'];
X3 = [test_vec_D3'];
plot3(X1(1,:), X1(2,:), X1(3,:),'bo'); axis on; grid on; hold on
plot3(X2(1,:), X2(2,:), X2(3,:),'go');
plot3(X3(1,:), X3(2,:), X3(3,:),'ro'); hold off;
title('blau-Pflanze, grün-Haar, rot-Haut')
I made a drawing of the process and finally understood how does this code work.
I have the following plot:
As you can see, the plot has some data on the left (blue) and on the right (red). However, I want them to be closer together. For example by cutting the box area, because there is no data, such that the 'red area' is more shifted to the left (and thus closer to the 'blue area').
How to proceed further?
MWE:
x = 0:0.05:1.3
y = x;
plot(x,y,'color','k','Linewidth',1);
hold on;
x1 = [0.1:0.05:x(end)];
y1 = [0:0.05:y(end)-0.1];
plot(x1,y1,'--k','Linewidth',1);
x2 = [0:0.05:x(end)];
y2 = [0.10:0.05:y(end)+0.1];
plot(x2,y2,'--k','Linewidth',1);
xlim([0 x(end)]);
ylim([0 y(end)]);
hold on
for i = 1:9;
a = plot(P(i).mHlfA1,P(i).sHlfA1, 'bx');
hold on
b = plot(P(i).mHlfA1,P(i).sLFA1, 'bo');
hold on
c = plot(P(i).mHlfA2,P(i).sHlfA2, 'rd');
hold on
d = plot(P(i).mHlfA2,P(i).sLFA2, 'r*');
hold on;
end
Here is an alternative tweak (to that suggested in the comments), using the XtickLable:
x = [1:10 200:2:230];
y = 3.*x-9;
% define the parts of he x-axis:
xgap = 11;
% pasting together the two parts:
new_x = [x(1:xgap-1) x(xgap-1)+(x(xgap:end)-x(xgap))+(x(xgap+2)-x(xgap+1))];
ax = axes;
plot(ax,new_x,y,'o');
% get the ticks to change:
left_x_tick = ax.XTick(ax.XTick<=x(xgap-1));
right_x_tick = ax.XTick(ax.XTick>x(xgap-1));
slash = left_x_tick(end)+floor((right_x_tick(1)-left_x_tick(end))/2);
ax.XTick = [left_x_tick slash right_x_tick];
% get the spacing between ticks
inc = right_x_tick - min(right_x_tick);
% create new tick labels:
new_tick = cellstr(num2str(inc.' + min(x(xgap:end))+(right_x_tick(1)-new_x(xgap))));
% replace the tick labels in the plot
ax.XTickLabel(ax.XTick>new_x(xgap)) = new_tick;
% put a // where there is a gap:
slash_loc = find(ax.XTick==slash,1,'first');
ax.XTickLabel(slash_loc) = {'//'};
ax.FontSize = 14;
This is before:
and after:
This is just an idea for workaround, it could be further adjusted to the specific needs.
I have two datasets which I want to plot in the same figure, e.g. two cosine and two sine plots which just differ in the amplitude:
x = -pi:pi/20:pi;
hold all;
amplitude = 1;
plot(x,amplitude*cos(x),'-');
plot(x,amplitude*sin(x),'-');
ax = gca;
ax.ColorOrderIndex = 1;
amplitude=3;
plot(x,amplitude*cos(x),'.');
plot(x,amplitude*sin(x),'.');
legend('1*cos(x)','1*sin(x)', '2*cos(x)','2*sin(x)');
hold off;
I want to "compress" the legend so that the two line stiles (normal line and dotted line) are "merged" and appear next to the same textual entry in the legend, such as:
How can I achieve this in MATLAB? I am currently using R2015b.
This is the closest I have got having a quick look with r2015b:
%%
f = figure;
ax = axes;
x = -pi:pi/20:pi;
hold all;
amplitude = 1;
c1 = plot(x,amplitude*cos(x),'-', 'DisplayName', 'cos(x)');
s1 = plot(x,amplitude*sin(x),'-', 'DisplayName', 'sin(x)');
ax.ColorOrderIndex = 1;
amplitude=3;
c2 = plot(x,amplitude*cos(x),'.', 'DisplayName', ' ');
s2 = plot(x,amplitude*sin(x),'.', 'DisplayName', ' ');
lg = legend([c1 c2 s1 s2]);
hold off;
Manipulating legends was easier pre HG2 - so using an older version of Matlab (r2013a) I get:
%%
f = figure;
ax = handle(axes);
x = -pi:pi/20:pi;
hold all;
amplitude = 1;
c1 = plot(x,amplitude*cos(x),'r-', 'DisplayName', 'cos(x)');
s1 = plot(x,amplitude*sin(x),'b-', 'DisplayName', 'sin(x)');
amplitude=3;
c2 = plot(x,amplitude*cos(x),'r.', 'DisplayName', ' ');
s2 = plot(x,amplitude*sin(x),'b.', 'DisplayName', ' ');
lg = handle(legend([c1 c2 s1 s2]));
hold off;
% You need to find which of the children on the legend is
% each of the plots:
c1 = handle(lg.Children(1));
c1.YData = 0.3;
s1 = handle(lg.Children(7));
s1.YData = 0.75;
This is a continuation from the question already posted here. I used the method that #Andrey suggested. But there seems to be a limitation. the set(handle, 'XData', x) command seems to work as long as x is a vector. what if x is a matrix?
Let me explain with an example.
Say we want to draw 3 rectangles whose vertices are given by the matrices x_vals (5,3 matrix) and y_vals (5,3 matrix). The command that will be used to plot is simply plot(x,y).
Now, we want to update the above plot. This time we want to draw 4 rectangles. whose vertices are present in the matrices x_new(5,4 matrix) and y_new (5,4 matrix) that we obtain after some calculations. Now using the command set(handle, 'XData', x, 'YData', y) after updating x and y with new values results in an error that states
Error using set
Value must be a column or row vector
Any way to solve this problem?
function [] = visualizeXYZ_struct_v3(super_struct, start_frame, end_frame)
% create first instance
no_objs = length(super_struct(1).result);
x = zeros(1,3000);
y = zeros(1,3000);
box_x = zeros(5, no_objs);
box_y = zeros(5, no_objs);
fp = 1;
% cascade values across structures in a frame so it can be plot at once;
for i = 1:1:no_objs
XYZ = super_struct(1).result(i).point_xyz;
[r,~] = size(XYZ);
x(fp:fp+r-1) = XYZ(:,1);
y(fp:fp+r-1) = XYZ(:,2);
% z(fp:fp+r-1) = xyz):,3);
fp = fp + r;
c = super_struct(1).result(i).box;
box_x(:,i) = c(:,1);
box_y(:,i) = c(:,2);
end
x(fp:end) = [];
y(fp:end) = [];
fig = figure('position', [50 50 1280 720]);
hScatter = scatter(x,y,1);
hold all
hPlot = plot(box_x,box_y,'r');
axis([-10000, 10000, -10000, 10000])
xlabel('X axis');
ylabel('Y axis');
hold off
grid off
title('Filtered Frame');
tic
for num = start_frame:1:end_frame
no_objs = length(super_struct(num).result);
x = zeros(1,3000);
y = zeros(1,3000);
box_x = zeros(5, no_objs);
box_y = zeros(5, no_objs);
fp = 1;
% cascade values accross structures in a frame so it can be plot at once;
for i = 1:1:no_objs
XYZ = super_struct(num).result(i).point_xyz;
[r,~] = size(XYZ);
x(fp:fp+r-1) = XYZ(:,1);
y(fp:fp+r-1) = XYZ(:,2);
fp = fp + r;
c = super_struct(num).result(i).box;
box_x(:,i) = c(:,1);
box_y(:,i) = c(:,2);
end
x(fp:end) = [];
y(fp:end) = [];
set(hScatter, 'XData', x, 'YData', y);
set(hPlot, 'XData', box_x, 'YData', box_y); % This is where the error occurs
end
toc
end
Each line on the plot has its own XData and YData properties, and each can be set to a vector individually. See the reference. I am not at a Matlab console right now, but as I recall...
kidnum = 1
h_axis = gca % current axis - lines are children of the axis
kids = get(h_axis,'Children')
for kid = kids
kid_type = get(kid,'type')
if kid_type == 'line'
set(kid,'XData',x_new(:,kidnum))
set(kid,'YData',y_new(:,kidnum))
kidnum = kidnum+1
end
end
Hope that helps! See also the overall reference to graphics objects and properties.
To add a series, say
hold on % so each "plot" won't touch the lines that are already there
plot(x_new(:,end), y_new(:,end)) % or whatever parameters you want to plot
After that, the new series will be a child of h_axis and can be modified.