3D plot represented in 2D

Hello,

I am trying to find a way to make the results of my 3D plot more visible. I see two ways to do that: make a border to different datasets or to make z-axes values distribution as a bacground in 2D image of x and y? Do you have an idea how to do that?

Now I have this dataset, which gives points on 3D graph.

Thanks for your help.

x1 = [1.15 1.24 1.19];
y1 = [191.00 187.90 173.30];
z1 = [168.70 175.70 155.10];

scatter3(x1,y1,z1)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x2 = [1.18 1.35 1.34];
y2 = [207.20 210.40 188.80];
z2 = [183.60 201.90 184.60];

scatter3(x2,y2,z2)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x3 = [0.65 0.92 1.33];
y3 = [258.10 211.90 192.20];
z3 = [138.20 152.60 197.30];

scatter3(x3,y3,z3)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x3 = [0.65 0.92 1.33];
y3 = [258.10 211.90 192.20];
z3 = [138.20 152.60 197.30];

scatter3(x3,y3,z3)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x4 = [0.65 0.76 0.74];
y4 = [394.73 146.90 428.90];
z4 = [196.30 236.60 273.70];

scatter3(x4,y4,z4)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x5 = [0.59 0.98 1.25];
y5 = [327.90 309.10 363.00];
z5 = [156.40 221.70 317.30];

scatter3(x5,y5,z5)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x6 = [0.54 0.60 0.79];
y6 = [308.80 244.20 245.70];
z6 = [133.60 109.70 156.10];

scatter3(x6,y6,z6)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

Answer 1

[Cris LaPierre]

What about a stem3 plot?

x1 = [1.15 1.24 1.19];
y1 = [191.00 187.90 173.30];
z1 = [168.70 175.70 155.10];

stem3(x1,y1,z1)
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
hold on

x2 = [1.18 1.35 1.34];
y2 = [207.20 210.40 188.80];
z2 = [183.60 201.90 184.60];
stem3(x2,y2,z2)

x3 = [0.65 0.92 1.33];
y3 = [258.10 211.90 192.20];
z3 = [138.20 152.60 197.30];
stem3(x3,y3,z3)

x3 = [0.65 0.92 1.33];
y3 = [258.10 211.90 192.20];
z3 = [138.20 152.60 197.30];
stem3(x3,y3,z3)

x4 = [0.65 0.76 0.74];
y4 = [394.73 146.90 428.90];
z4 = [196.30 236.60 273.70];
stem3(x4,y4,z4)

x5 = [0.59 0.98 1.25];
y5 = [327.90 309.10 363.00];
z5 = [156.40 221.70 317.30];
stem3(x5,y5,z5)

x6 = [0.54 0.60 0.79];
y6 = [308.80 244.20 245.70];
z6 = [133.60 109.70 156.10];
stem3(x6,y6,z6)

hold off

[Mariia Arseenko]

That is already much better, thanks!

The issue for me here that the groups are still not easy to distinguish directly when you see them. Also because randomisation for some values is quite high.

[Cris LaPierre]

What about a 2D scatter plot where the marker color is determined by the Z value?

x1 = [1.15 1.24 1.19];
y1 = [191.00 187.90 173.30];
z1 = [168.70 175.70 155.10];

x2 = [1.18 1.35 1.34];
y2 = [207.20 210.40 188.80];
z2 = [183.60 201.90 184.60];

x3 = [0.65 0.92 1.33];
y3 = [258.10 211.90 192.20];
z3 = [138.20 152.60 197.30];

x3 = [0.65 0.92 1.33];
y3 = [258.10 211.90 192.20];
z3 = [138.20 152.60 197.30];

x4 = [0.65 0.76 0.74];
y4 = [394.73 146.90 428.90];
z4 = [196.30 236.60 273.70];

x5 = [0.59 0.98 1.25];
y5 = [327.90 309.10 363.00];
z5 = [156.40 221.70 317.30];

x6 = [0.54 0.60 0.79];
y6 = [308.80 244.20 245.70];
z6 = [133.60 109.70 156.10];

X = [x1 x2 x3 x4 x5 x6];
Y = [y1 y2 y3 y4 y5 y6];
Z = [z1 z2 z3 z4 z5 z6];

scatter(X,Y,[],Z,'filled')
xlabel('e')
ylabel('S')
zlabel('Wf')
grid on
colorbar

If you need to be able to visually connect the groups together, plot each group as its own series and then add a scatter on top, where the marker color indicates the Z value.

X = [x1' x2' x3' x4' x5' x6'];
Y = [y1' y2' y3' y4' y5' y6'];
Z = [z1' z2' z3' z4' z5' z6'];

figure
plot(X,Y,'--')
hold on
scatter(X(:),Y(:),[],Z(:),'filled')
hold off

grid on
colorbar

xlabel('e')
ylabel('S')
zlabel('Wf')

legend("Group"+[1:6],'Location','NorthOutside','NumColumns',3)

[Mariia Arseenko]

That perfectly worked, thanks a lot!

[Star Strider]

@Mariia Arseenko — Accepting Cris’s Answer is the best way to express your thanks.