Change properties in gscatter, based on the group label
6 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
How to set some specific properties for a specific group (i.e. marker, markersize, one specific color), let's say for group labelled as "-1", and set the same properties (i.e. marker, markersize, except for colors, that should be different) for the remaining groups, i.e. groups labelled as "1,2,3,4"?
a = [37 98 1; 35 94 1; 33 97 1; 33 99 1; 31 96 1; 30 97 1; 29 100 1; 30 94 1; 31 90 1; 28 93 1; 21 63 1; 20 61 1; 22 60 1; 24 60 1; 24 64 1; 27 62 1; 28 65 1; 27 59 1; 23 57 1; 26 56 1; 27 57 1; 29 57 1; 31 60 1; 31 61 1; 31 64 1; 32 66 1; 36 60 1; 37 56 -1; 32 56 1; 31 54 1; 27 53 1; 13 43 2; 17 42 2; 17 40 2; 19 37 2; 14 40 2; 13 42 2; 10 41 2; 10 42 2; 9 39 2; 6 40 2; 25 20 3; 24 18 3; 26 18 3; 27 19 3; 27 21 3; 29 21 3; 30 22 3; 30 23 3; 31 26 3; 33 27 3; 35 28 3; 94 11 4; 95 10 4; 97 8 4; 94 8 4; 93 8 4; 99 12 4; 97 12 4; 98 15 4; 95 14 4; 91 15 4; 92 17 4; 91 19 4; 89 19 4; 87 21 4; 89 22 4; 86 23 4; 84 25 4; 81 25 4; 80 26 4; 82 26 4; 79 29 4; 82 29 4; 83 29 4; 86 28 4; 88 25 4; 91 24 4; 93 21 4; 94 22 4; 94 19 4; 95 18 4; 97 20 4];
g = gscatter(a(:,1),a(:,2),a(:,3));
I was thinking about something like this, but I do not know how to efficiently change properties in g = gscatter:
if unique(a(:,3)) == -1
'marker'=
'markersize'=
...
elseif unique(a(:,3)) ~= -1
'marker'=
'markersize'=
...
end
0 Commenti
Risposta accettata
dpb
il 1 Nov 2023
Modificato: dpb
il 1 Nov 2023
load carsmall
subplot(1,2,1)
gscatter(Displacement,Horsepower,Model_Year) % default appearance
subplot(1,2,2)
hGSC=gscatter(Displacement,Horsepower,Model_Year); % original but save handles
hGSC(matches({hGSC.DisplayName},'70')).Color='k'; % set year 70 group color to black
0 Commenti
Più risposte (2)
Dyuman Joshi
il 1 Nov 2023
Modificato: Dyuman Joshi
il 1 Nov 2023
You can combine the other groups as one -
a = [37 98 1; 35 94 1; 33 97 1; 33 99 1; 31 96 1; 30 97 1; 29 100 1; 30 94 1; 31 90 1; 28 93 1; 21 63 1; 20 61 1; 22 60 1; 24 60 1; 24 64 1; 27 62 1; 28 65 1; 27 59 1; 23 57 1; 26 56 1; 27 57 1; 29 57 1; 31 60 1; 31 61 1; 31 64 1; 32 66 1; 36 60 1; 37 56 -1; 32 56 1; 31 54 1; 27 53 1; 13 43 2; 17 42 2; 17 40 2; 19 37 2; 14 40 2; 13 42 2; 10 41 2; 10 42 2; 9 39 2; 6 40 2; 25 20 3; 24 18 3; 26 18 3; 27 19 3; 27 21 3; 29 21 3; 30 22 3; 30 23 3; 31 26 3; 33 27 3; 35 28 3; 94 11 4; 95 10 4; 97 8 4; 94 8 4; 93 8 4; 99 12 4; 97 12 4; 98 15 4; 95 14 4; 91 15 4; 92 17 4; 91 19 4; 89 19 4; 87 21 4; 89 22 4; 86 23 4; 84 25 4; 81 25 4; 80 26 4; 82 26 4; 79 29 4; 82 29 4; 83 29 4; 86 28 4; 88 25 4; 91 24 4; 93 21 4; 94 22 4; 94 19 4; 95 18 4; 97 20 4];
g = a(:,3);
%Change the values of other groups to a random value that is not -1
g(g~=-1) = 3;
%To different groups
n=2;
%% Define parameters (I have taken values randomly)
%Colors
clr = [0 0 1; 1 0 0];
%Marker
m = [".", "*"];
%Marker size
ms = [12.5 5];
gscatter(a(:,1), a(:,2), g, clr, m, ms)
3 Commenti
Dyuman Joshi
il 1 Nov 2023
Modificato: Dyuman Joshi
il 1 Nov 2023
@Sim, That can be adjusted as well -
a = [37 98 1; 35 94 1; 33 97 1; 33 99 1; 31 96 1; 30 97 1; 29 100 1; 30 94 1; 31 90 1; 28 93 1; 21 63 1; 20 61 1; 22 60 1; 24 60 1; 24 64 1; 27 62 1; 28 65 1; 27 59 1; 23 57 1; 26 56 1; 27 57 1; 29 57 1; 31 60 1; 31 61 1; 31 64 1; 32 66 1; 36 60 1; 37 56 -1; 32 56 1; 31 54 1; 27 53 1; 13 43 2; 17 42 2; 17 40 2; 19 37 2; 14 40 2; 13 42 2; 10 41 2; 10 42 2; 9 39 2; 6 40 2; 25 20 3; 24 18 3; 26 18 3; 27 19 3; 27 21 3; 29 21 3; 30 22 3; 30 23 3; 31 26 3; 33 27 3; 35 28 3; 94 11 4; 95 10 4; 97 8 4; 94 8 4; 93 8 4; 99 12 4; 97 12 4; 98 15 4; 95 14 4; 91 15 4; 92 17 4; 91 19 4; 89 19 4; 87 21 4; 89 22 4; 86 23 4; 84 25 4; 81 25 4; 80 26 4; 82 26 4; 79 29 4; 82 29 4; 83 29 4; 86 28 4; 88 25 4; 91 24 4; 93 21 4; 94 22 4; 94 19 4; 95 18 4; 97 20 4];
[g, q] = findgroups(a(:,3));
idx = q==-1;
n = numel(q);
%% Define parameters (I have taken values randomly)
%Colors
clr = hsv(n);
%Marker
m = repelem("*", 1, n);
m(idx) = ".";
%Marker size
ms = repelem(10, 1, n);
ms(idx) = 15;
gscatter(a(:,1), a(:,2), g, clr, m, ms)
Sim
il 1 Nov 2023
Modificato: Sim
il 1 Nov 2023
2 Commenti
dpb
il 1 Nov 2023
You can always vote for others that helped; Votes aren't restricted to picking only one...and, there often are multiple ways to skin the cat or as here pieces can be taken from various solutions so the one "right" answer isn't always a palatable choice, true...
Vedere anche
Categorie
Scopri di più su Data Distribution Plots in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!