I keep getting error using plot not enough input arguments.

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Adrian Kleffler 2023-5-4

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1958039-i-keep-getting-error-using-plot-not-enough-input-arguments

评论： Adrian Kleffler 2023-5-4

I keep getting error when I try to plot the following code and I don't really know what to do.

figure
plot(recall,precision)
xlabel("Recall")
ylabel("Precision")
grid on
title(sprintf("Average Precision = %.2f",ap))

Error using plot

Not enough input arguments.

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Adrian Kleffler 2023-5-4

在 MATLAB Online 中打开

[ap,recall,precision] = evaluateDetectionPrecision(detectionResults,testData);

like this

Adrian Kleffler 2023-5-4

在 MATLAB Online 中打开

i improved the code to something like this :

recallv = cell2mat(recall);
precisionv = cell2mat(precision);
figure
plot(recallv,precisionv)
xlabel("Recall")
ylabel("Precision")
grid on
title(sprintf("Average Precision = %.2f",ap))

the graph is shown but it looks bad, something else is wrong also.

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回答（1 个）

Dyuman Joshi 2023-5-4

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1958039-i-keep-getting-error-using-plot-not-enough-input-arguments#answer_1229164

在 MATLAB Online 中打开

You need to sort your x data.

recallv = cell2mat(recall);
precisionv = cell2mat(precision);
[r,index] = sort(recallv);
p = precisionv(index);
figure
plot(r,p)
xlabel("Recall")
ylabel("Precision")
grid on
title(sprintf("Average Precision = %.2f",ap))

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Adrian Kleffler 2023-5-4

recall :

[0;0.166666666666667;0.333333333333333;0.500000000000000;0.666666666666667;0.833333333333333]

20x1 double

[0;0.125000000000000;0.250000000000000;0.375000000000000;0.500000000000000;0.625000000000000;0.750000000000000;0.875000000000000;1]

12x1 double

[0;0.111111111111111;0.222222222222222;0.333333333333333;0.444444444444444;0.555555555555556;0.666666666666667;0.777777777777778;0.888888888888889;1]

precision :

[1;1;1;1;1;1]

20x1 double

[1;1;1;1;1;1;1;1;1]

12x1 double

[1;1;1;1;1;1;1;1;1;1]

i want to say that i have 6 classes in my project, so in that graph (on the top of the graph, ap = 0,83, ap = 0,29...) i posted, there are average precisions for 6 classes in my opinion ... i don´t know if its possible to combine them to only one average precision or what to do with them... on matlab page there is one example where the graph looks like this (but they had only one class to detect) :