I am not certain what your data are, so I will create some.
A = randn(20, 1000);
A = (A - min(A,[],2)) + 1;
A = A .* 15./max(A,[],2) + randi(9, 20, 1);
for k = 1:size(A,1)
pd{k} = fitdist(A(k,:).', 'normal');
end
x = linspace(1, 30, 150);
figure
hold on
for k = 1:size(A,1)
plot(x, pdf(pd{k},x), "DisplayName","Row "+k)
end
grid
legend('Location','best')
You could also use plot3 for this, and separate the individual distributions by row number.
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