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How to assign different colors for data in different rows from a dataframe?

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Zhe Dong
Zhe Dong 2022-1-9
评论： Zhe Dong 2022-3-3
For instance, here's a dataframe
T=[label X Y
A 1 2
A 4 5
B 3 5
B 9 10]
I want to make a scatter plot with Y against X, but assign different colors and shapes based on their labels (i.e, A and B). How can I accomplish that? Many thanks!
I can think of using T{1:2,2} to extract different rows, but the real data contain many rows and more than two labels, so it's difficult to count row by row

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Image Analyst
Image Analyst 2022-1-9
Ran in:
Maybe something like untested
% letters = T{:, 1};
% x = T{:, 2};
% y = T{:, 3};
letters = {'A'; 'A'; 'B'; 'B'}
letters = 4×1 cell array
{'A'} {'A'} {'B'} {'B'}
numUniqueLetters = length(unique(letters))
numUniqueLetters = 2
x = [1;4;3;9]
x = 4×1
1 4 3 9
y = [2; 5; 5; 10];
colors = jet(numUniqueLetters)
colors = 2×3
0 0 1 0 1 1
g = findgroups(letters)
g = 4×1
1 1 2 2
markerColors = colors(g, :)
markerColors = 4×3
0 0 1 0 0 1 0 1 1 0 1 1
scatter(x, y, 300, markerColors, 'filled')
grid on;
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Image Analyst
Image Analyst 2022-2-27
You could call scatter several times with a different color each time, or you could use gscatter().

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