how to solve "error using griddata" in order to plot an efficiency map
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hello i'm trying to plot an efficiency map of a motor using vectors of torque and speed and their corresponding efficiencies obtained from some measurments is it possible to plot efficiency map with this?
ps: the vectors are loaded from an excel file
I'm trying to plot somthing similar with this script
x0=min(speedRPM); x1=max(speedRPM); nx=100;
y0=min(TorqueNm); y1=max(TorqueNm); ny=100;
x=linspace(x0,x1,nx);
y=linspace(y0,y1,ny);
[X,Y]=meshgrid(x,y);
Z=griddata(speedRPM,TorqueNm,EffeciencyPer,X,Y);
contourf(X,Y,Z);
colorbar;
But when i run it it shows me this error
>> efficiencymap
Error using griddata (line 110)
X and Y must be same length as Z or the lengths of X and Y must match the size of Z.
could you help ?
2 Comments
DGM
on 11 May 2021
Edited: DGM
on 11 May 2021
The error message says there's a problem with the size or orientation of arrays, but nobody can know how your arrays are sized or oriented unless you tell us.
% test arrays have corresponding size
speedRPM = 1:200; % 1x200
TorqueNm = 1:100; % 1x100
EffeciencyPer = speedRPM + TorqueNm'; % 100x200
% all this code runs just fine with test arrays
x0=min(speedRPM); x1=max(speedRPM); nx=100;
y0=min(TorqueNm); y1=max(TorqueNm); ny=100;
x=linspace(x0,x1,nx);
y=linspace(y0,y1,ny);
[X,Y]=meshgrid(x,y);
Z=griddata(speedRPM,TorqueNm,EffeciencyPer,X,Y);
contourf(X,Y,Z);
colorbar;
Answers (1)
Walter Roberson
on 11 May 2021
Edited: Walter Roberson
on 11 May 2021
% test arrays have corresponding size
speedRPM = 1:200; % 1x200
TorqueNm = 1:100; % 1x100
EffeciencyPer = speedRPM + TorqueNm'; % 100x200
% all this code runs just fine with test arrays
x0=min(speedRPM); x1=max(speedRPM); nx=100;
y0=min(TorqueNm); y1=max(TorqueNm); ny=100;
x=linspace(x0,x1,nx);
y=linspace(y0,y1,ny);
[X,Y] = meshgrid(x,y);
F = scatteredInterpolant(speedRPM, TorqueNm, EfficiencyPer);
Z = F(X, Y);
contourf(X, Y, Z.'); %probably Z.', perhaps Z instead
4 Comments
Walter Roberson
on 12 May 2021
You do not need to determine their size. nx and ny are arbitrary; the higher they are, the smoother the plot will be, but the longer it will take to compute.
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