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vipul vibhanshu about 12 hours ago
Answered: Star Strider about 10 hours ago
- Copy of data.xlsx
I am unable to plot the surface plot for the data from the excel sheet
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Answers (3)
Muskan about 11 hours ago
You can use the "surf" function in MATLAB to plot the surface plot. Please follow the following steps:
1) Prepare Your Excel File:
Ensure your Excel file is organized such that it represents a grid of Z values. The first row and first column can represent the X and Y coordinates, respectively.
2) Read Data from Excel File:
Use the readmatrix function to read the data from the Excel file into MATLAB.
3) Extract X, Y, and Z Data:
Extract the X, Y, and Z data from the matrix.
4) Plot the Surface:
Use the "surf" function to create a surface plot.
Refer to the following documentation of "surf" for a better understanding:
https://in.mathworks.com/help/matlab/ref/surf.html
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Pavan Sahith about 10 hours ago
Open in MATLAB Online
Hello Vipul,
I see that you're trying to generate a surface plot using data from your Excel file.
To achieve that in MATLAB , you can refer to the following sample code which will help,
% Load the data from the Excel sheet
data = readtable('data.xlsx');
% Extract the columns
Primary = data.Primary;
Auger = data.Auger;
Yield = data.Yield;
% Remove rows with NaN values in Yield
validIdx = ~isnan(Yield);
Primary = Primary(validIdx);
Auger = Auger(validIdx);
Yield = Yield(validIdx);
% Create a grid of unique Primary and Auger values
[PrimaryGrid, AugerGrid] = meshgrid(unique(Primary), unique(Auger));
% Interpolate Yield values onto the grid
YieldGrid = griddata(Primary, Auger, Yield, PrimaryGrid, AugerGrid);
% Create the surface plot
figure;
surf(PrimaryGrid, AugerGrid, YieldGrid);
xlabel('Primary');
ylabel('Auger');
zlabel('Yield');
title('Surface Plot of Yield');
colorbar; % Add a color bar to indicate the scale of Yield
This approach uses griddata to interpolate the Yield values onto the grid, ensuring that the surface plot is properly populated with data points.
The interpolation step using griddata is essential because it helps in creating a continuous surface from discrete data points.
Consider referring to the following MathWorks documentation to get a better understanding
- griddata - https://www.mathworks.com/help/matlab/ref/griddata.html
- meshgrid- https://www.mathworks.com/help/matlab/ref/meshgrid.html
- surf- https://www.mathworks.com/help/matlab/ref/surf.html
Hope this helps you in moving ahead
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Star Strider about 9 hours ago
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See AlsoPlot 3D data from excel filehttps://uk.mathworks.com/matlabcentral/answers/2132126-plot-3d-data-from-excel-file#answer_1477426
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- Copy of data.xlsx
Use the scatteredInterpolant function to create the surface.
Using the provided data —
T1 = readtable('Copy of data.xlsx')
T1 = 21x3 table
Primary Auger Yield _______ _____ _____ 2000 950 NaN 2500 530 27.5 2000 530 34.81 2000 530 18.9 2700 590 21.7 2800 580 17.5 4000 750 18.4 4000 950 25.7 4000 950 24 4100 950 NaN 2500 700 23.2 4000 950 NaN 4000 950 NaN 4000 950 23.8 4300 900 27.5 2500 400 25.5
VN = T1.Properties.VariableNames;
x = T1.Primary;
y = T1.Auger;
z = T1.Yield;
figure
stem3(x, y, z)
hold on
scatter3(x, y, z, 50, z, 'filled')
hold off
colormap(turbo)
colorbar
xlabel(VN{1})
ylabel(VN{2})
zlabel(VN{3})
axis('padded')
title('Stem - Scatter Plot Of Original Data')
xv = linspace(min(x), max(x), 50);
yv = linspace(min(y), max(y), 50);
[X,Y] = ndgrid(xv, yv);
F = scatteredInterpolant(x, y, z);
Warning: Duplicate data points have been detected and removed - corresponding values have been averaged.
Z = F(X,Y);
figure
surfc(X, Y, Z)
colormap(turbo)
colorbar
xlabel(VN{1})
ylabel(VN{2})
zlabel(VN{3})
% axis('padded')
title('Surface Plot Of Original Data')
Interpolatting the missing data yields this result —
T1 = fillmissing(T1, 'linear')
T1 = 21x3 table
Primary Auger Yield _______ _____ _____ 2000 950 20.19 2500 530 27.5 2000 530 34.81 2000 530 18.9 2700 590 21.7 2800 580 17.5 4000 750 18.4 4000 950 25.7 4000 950 24 4100 950 23.6 2500 700 23.2 4000 950 23.4 4000 950 23.6 4000 950 23.8 4300 900 27.5 2500 400 25.5
VN = T1.Properties.VariableNames;
x = T1.Primary;
y = T1.Auger;
z = T1.Yield;
figure
stem3(x, y, z)
hold on
scatter3(x, y, z, 50, z, 'filled')
hold off
colormap(turbo)
colorbar
xlabel(VN{1})
ylabel(VN{2})
zlabel(VN{3})
axis('padded')
title('Stem - Scatter Plot Of Interpolated (‘Filled’) Data')
xv = linspace(min(x), max(x), 50);
yv = linspace(min(y), max(y), 50);
[X,Y] = ndgrid(xv, yv);
F = scatteredInterpolant(x, y, z);
Warning: Duplicate data points have been detected and removed - corresponding values have been averaged.
Z = F(X,Y);
figure
surfc(X, Y, Z)
colormap(turbo)
colorbar
xlabel(VN{1})
ylabel(VN{2})
zlabel(VN{3})
% axis('padded')
title('Surface Plot Of Interpolated (‘Filled’) Data')
I am assuming that you want them plotted in this order. If not, change the original assignments for ‘x’, ‘y’ and ‘z’, in both sections (‘Original’ and ‘Interpoalted’). My code should adapt automatically to those changes.
.
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