plotting multiple fitting graphs in a single graph

Question

Hagar Hendy 2022-11-16

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1853068-plotting-multiple-fitting-graphs-in-a-single-graph

评论： Star Strider 2022-11-16

在 MATLAB Online 中打开

Hi ,

I want to plot 2 fitting graphs on the same plot, i tried to use hold on , but it doesn't work

here is the code the one that ( with large scale of noise =5 on the same figure with large scale of noise =10)

% with large scale of noise = 10

xData = [10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10]

xData = 1×21

10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10

yData = [99 99 99 99 99 99 98 92 85 70 48 31 7 3 1 0 0 0 0 0 0]

yData = 1×21

99 99 99 99 99 99 98 92 85 70 48 31 7 3 1 0 0 0 0 0 0

x= xData'

x = 21×1

10 9 8 7 6 5 4 3 2 1

y=yData'

y = 21×1

99 99 99 99 99 99 98 92 85 70

% Set up fittype and options.

ft = fittype( 'a/(1+exp(-b*x))', 'independent', 'x', 'dependent', 'y' );

opts = fitoptions( 'Method', 'NonlinearLeastSquares' );

opts.Display = 'Off';

opts.StartPoint = [0.957166948242946 0.485375648722841];

% Fit model to data.

[fitresult, gof] = fit( x, y, ft, opts );

% Plot fit with data.

figure( 'Name', 'untitled fit 1' );

h = plot( fitresult, xData, yData );

hold on

legend( h, 'y vs. x', 'untitled fit 1', 'Location', 'NorthEast', 'Interpreter', 'none' );

% Label axes

xlabel( 'x', 'Interpreter', 'none' );

ylabel( 'y', 'Interpreter', 'none' );

grid on

saveas(gcf,'myfigure.pdf')

hold on

% with large scale of noise = 5

tData = [10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10]

tData = 1×21

10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10

bData = [99 99 99 99 99 99 99 99 98 84 47 8 1 0 0 0 0 0 0 0 0]

bData = 1×21

99 99 99 99 99 99 99 99 98 84 47 8 1 0 0 0 0 0 0 0 0

x= tData'

x = 21×1

10 9 8 7 6 5 4 3 2 1

y=bData'

y = 21×1

99 99 99 99 99 99 99 99 98 84

% Set up fittype and options.

ft = fittype( 'a/(1+exp(-b*x))', 'independent', 'x', 'dependent', 'y' );

opts = fitoptions( 'Method', 'NonlinearLeastSquares' );

opts.Display = 'Off';

opts.StartPoint = [0.957166948242946 0.485375648722841];

% Fit model to data.

[fitresult, gof] = fit( x, y, ft, opts );

% Plot fit with data.

figure( 'Name', 'untitled fit 1' );

h = plot( fitresult, tData, bData );

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Answer 1

Cris LaPierre 2022-11-16

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1853068-plotting-multiple-fitting-graphs-in-a-single-graph#answer_1101883

在 MATLAB Online 中打开

By including the figure command, you are telling MATLAB to create a new figure window. Removing that and making some minor cosmetic changes, here is how I would do it.

% with large scale of noise = 10

xData = [10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10]';

yData = [99 99 99 99 99 99 98 92 85 70 48 31 7 3 1 0 0 0 0 0 0]';

% Set up fittype and options.

ft1 = fittype( 'a/(1+exp(-b*x))', 'independent', 'x', 'dependent', 'y' );

opts1 = fitoptions( 'Method', 'NonlinearLeastSquares' );

opts1.Display = 'Off';

opts1.StartPoint = [0.957166948242946 0.485375648722841];

% Fit model to data.

[fitresult1, gof1] = fit( xData, yData, ft1, opts1 );

% Plot fit with data.

figure( 'Name', 'untitled fit 1' );

plot( fitresult1, xData, yData );

legend('y vs. x', 'untitled fit 1', 'Location', 'NorthEast', 'Interpreter', 'none' );

% Label axes

xlabel( 'x', 'Interpreter', 'none' );

ylabel( 'y', 'Interpreter', 'none' );

grid on

% with large scale of noise = 5

tData = [10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10]';

bData = [99 99 99 99 99 99 99 99 98 84 47 8 1 0 0 0 0 0 0 0 0]';

% Set up fittype and options.

ft2 = fittype( 'a/(1+exp(-b*x))', 'independent', 'x', 'dependent', 'y' );

opts2 = fitoptions( 'Method', 'NonlinearLeastSquares' );

opts2.Display = 'Off';

opts2.StartPoint = [0.957166948242946 0.485375648722841];

% Fit model to data.

[fitresult2, gof2] = fit( tData, bData, ft2, opts2 );

% Plot fit with data.

hold on

plot( fitresult2, tData, bData,'c.' );

hold off

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Hagar Hendy 2022-11-16

Thank you so much

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Answer 2

Star Strider 2022-11-16

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1853068-plotting-multiple-fitting-graphs-in-a-single-graph#answer_1101888

在 MATLAB Online 中打开

The code works as posted.

If you want to plot both results on the same axes, that is straightforward. See the third figure —

% with large scale of noise = 10

xData = [10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10];

yData = [99 99 99 99 99 99 98 92 85 70 48 31 7 3 1 0 0 0 0 0 0];

x= xData(:);

y=yData(:);

% Set up fittype and options.

ft = fittype( 'a/(1+exp(-b*x))', 'independent', 'x', 'dependent', 'y' );

opts = fitoptions( 'Method', 'NonlinearLeastSquares' );

opts.Display = 'Off';

opts.StartPoint = [0.957166948242946 0.485375648722841];

% Fit model to data.

[fitresult, gof] = fit( x, y, ft, opts );

% Plot fit with data.

figure( 'Name', 'untitled fit 1' );

h1 = plot( fitresult, xData, yData )

h1 =

2×1 Line array: Line (data) Line (fitted curve)

hold on

legend( h1, 'y vs. x', 'untitled fit 1', 'Location', 'NorthEast', 'Interpreter', 'none' );

% Label axes

xlabel( 'x', 'Interpreter', 'none' );

ylabel( 'y', 'Interpreter', 'none' );

grid on

saveas(gcf,'myfigure.pdf')

hold on

% with large scale of noise = 5

tData = [10 9 8 7 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10];

bData = [99 99 99 99 99 99 99 99 98 84 47 8 1 0 0 0 0 0 0 0 0];

x= tData(:);

y=bData(:);

% Set up fittype and options.

ft = fittype( 'a/(1+exp(-b*x))', 'independent', 'x', 'dependent', 'y' );

opts = fitoptions( 'Method', 'NonlinearLeastSquares' );

opts.Display = 'Off';

opts.StartPoint = [0.957166948242946 0.485375648722841];

% Fit model to data.

[fitresult, gof] = fit( x, y, ft, opts );

% Plot fit with data.

figure( 'Name', 'untitled fit 1' );

h2 = plot( fitresult, tData, bData )

h2 =

2×1 Line array: Line (data) Line (fitted curve)

figure

plot(h1(1).XData, h1(1).YData, 'sb', 'DisplayName','Data 1')

hold on

plot(h1(2).XData, h1(2).YData, '-r', 'DisplayName','Curve 1')

plot(h2(1).XData, h2(1).YData, 'db', 'DisplayName','Data 2')

plot(h2(2).XData, h2(2).YData, '-g', 'DisplayName','Curve 2')

hold off

grid

legend('Location','best')

Make appropriate changes to get the desired result.

.

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Hagar Hendy 2022-11-16

thank you

Star Strider 2022-11-16

My pleasure!

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