How do i using scatter plot in matlab to plot 2D or 3D data with new labels ?
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Dear experiences
i have a dataset stored in an excel file, where data has labels from A1..An as in the following:
states Dim1 Dim2 part
A27 0.000961859 0.030987232 1
A127 0.015515794 0.047256875 1
A34 0.063094311 -0.188401909 2
A47 0.069889903 -0.162175315 2
A12 -0.351944163 -0.092892019 3
A112 0.108680014 -0.297203971 4
My questions are :
- How i can using scatter plot in matlab to plot the above labels as in the attached figure?
- Is there any option to plot every collection of points with distinct color like ( part1=black, part2=red, etc. )?
- fianlly, i need to create labels for every collection, my labels are part1, part2, part3, part4) based on my dataset, so i hope to this property can be performed based on Dim1 and Dim2 values range.
thanks for any suggestion.
4 个评论
KSSV
2017-2-9
What is the criteria to divide Ai's into various parts?
ahmed obaid
2017-2-9
KSSV
2017-2-9
Then do you have these Ai's separately for each cluster?
ahmed obaid
2017-2-9
采纳的回答
Star Strider
2017-2-9
This will get you started:
[D,S] = xlsread( . . . );
D = [-0.005859903 0.003131757
-0.009648814 0.001774854
-0.006499227 0.003332951
-0.007080218 0.00482714];
S = {'A1'
'A2'
'A3'
'A4'};
figure(1)
text(D(:,1), D(:,2), S, 'FontSize',8)
axis([min(D(:,1)) max(D(:,1)) min(D(:,2)) max(D(:,2))])
2 个评论
ahmed obaid
2017-2-9
Star Strider
2017-2-9
Rather than rewrite the data, I added a couple points and changed the code to provide different coloured markers for the various values of ‘part’.
This works:
D = [-0.005859903 0.003131757 1
-0.009648814 0.001774854 2
-0.006499227 0.003332951 3
-0.007080218 0.00482714 4
-0.351944163 -0.092892019 3
0.108680014 -0.297203971 4];
S = {'A1'
'A2'
'A3'
'A4'
'A12'
'A112'};
figure(1)
hs = scatter(D(:,1), D(:,2), 50, D(:,3), 'filled')
text(D(:,1)+0.001, D(:,2), S, 'FontSize',7, 'HorizontalAlignment','left')
set(hs, 'Marker', 's')
axis([min(D(:,1))-0.001 max(D(:,1))+0.001 min(D(:,2))-0.001 max(D(:,2))+0.001])
You will have to experiment to get the results you want with your data.
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