Hi,
I need to plot a graph using two datasets which have two different length values. I tried to get the graph with the use of the code I have shown below. But I got an error message as I have shown below the code.
Please someone help me. Thank you !
Entropy_Value =[7.61572,7.56676,6.25456,5.45656,7.32154]; % Y-axis values
Image_Number =[1,2,3,4,5]; % X-axis values
i=0.01:0.001:0.02;
plot(i,Entropy_Value,'b--*',i,Image_Number,'r--o')
%{
Error using plot
Vectors must be the same length.
Error in graph2 (line 4)
plot(i,Entropy_Value,'b--*',i,Image_Number,'r--o')
%}

 採用された回答

madhan ravi
madhan ravi 2018 年 11 月 25 日
編集済み: madhan ravi 2018 年 11 月 25 日

1 投票

Use linspace to create points with equal instances
Entropy_Value =[7.61572,7.56676,6.25456,5.45656,7.32154]; % Y-axis values
Image_Number =[1,2,3,4,5]; % X-axis values
i=linspace(0.01,0.02,numel(Entropy_Value));
plot(i,Entropy_Value,'b--*',i,Image_Number,'r--o')
Screen Shot 2018-11-25 at 5.49.26 PM.png

4 件のコメント

Ishara Nipuni
Ishara Nipuni 2018 年 11 月 25 日
Thank You so much. But I need to plot the entropy values( the values which are in y axis) with the corresponding image number as 1,2,3,4,5. Can you please help me on that?
Ishara Nipuni
Ishara Nipuni 2018 年 11 月 25 日
編集済み: Ishara Nipuni 2018 年 11 月 25 日
Thank You so much. But I need to plot the entropy values( the values which are in y axis) with the corresponding image number as 1,2,3,4,5 and I only need to get a one line. Can you please help me on that?
I also tried the code shown below.
Entropy_Value =[7.61572,7.56676,6.25456,5.45656,7.32154]; % Y-axis values
Image_Number =[1,2,3,4,5]; % X-axis values
i=linspace(0.01,0.02,numel(Entropy_Value));
plot(i,Entropy_Value,'b--*')
I got the result that shown below after trying above code.
untitled.jpg
But I need to gget the values of X-axis as 1,2,3,4,5. Can you please help me on that? Thank you again.
Ishara Nipuni
Ishara Nipuni 2018 年 11 月 25 日
Thank you so much for the help:-) This code worked correctly for more values :-):-):-):-):-):-)
madhan ravi
madhan ravi 2018 年 11 月 25 日
Anytime :) , make sure to accept and voting the answer if it helped

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