plot smoothing to get a curve
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Hy how to use smooth option to get a curve plot
XA = 0:1:5
YA = 2.^XA
plot(XA,YA)
采纳的回答
Star Strider
2016-9-10
Use the linspace function to create ‘XA’:
XA = linspace(0,5);
This creates 100 (by default) regularly-spaced elements for ‘XA’ between 0 and 5.
4 个评论
Lila wagou
2016-9-10
HY Star Strider, i look to the smoothing option, by Excel software it is easy to do it, what about Matlab
Star Strider
2016-9-10
Use the MATLAB interp1 function.
Example:
x = [1 3 4 5.5 7 10 15]; % Create Original Data
y = [0 3 1 -2 4 9 5]; % Create Original Data
xi = linspace(min(x), max(x), 150); % Evenly-Spaced Interpolation Vector
yi = interp1(x, y, xi, 'spline', 'extrap');
figure(1)
plot(x, y, 'bp')
hold on
plot(xi, yi, '-r')
hold off
grid
xlabel('X')
ylabel('Y')
legend('Original Data', 'Interpolation', 'Location', 'NW')
Lila wagou
2016-9-10
Star Strider
2016-9-10
The choice of 50 interpolation points is simply my choice.
It does work with those data:
XA = [4,8,12,14,15,15.5,16,20];
YA = [100,400,100,200,150,175,160,160];
x = XA;
y = YA;
xi = linspace(min(x), max(x), 150); % Evenly-Spaced Interpolation Vector
yi = interp1(x, y, xi, 'spline', 'extrap');
figure(1)
plot(x, y, 'bp')
hold on
plot(xi, yi, '-r')
hold off
grid
xlabel('X')
ylabel('Y')
legend('Original Data', 'Interpolation', 'Location', 'NE')
If it produces a different result than you get with Excel, it is because the interpolation method is different. The 'spline' method I used here may be correct, and Excel may be wrong. I have no idea what Excel uses. MATLAB offers several different interpolation methods, so choose the one that is most appropriate to your data.
Preferably, if you have an appropriate mathematical model of the process that produced your data, use it, and fit it to your data, rather than using interpolation.
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