- Import data (e.g. right click file -> Import data... -> generate code)
- Use scattered interpolant: Interpolating Scattered Data - MATLAB & Simulink (mathworks.com)
Finding data on specific point from large set data
2 views (last 30 days)
Show older comments
I have a folder named 'THETHA'. Inside folder I have 360 csv file named '1.csv', '2.csv',...'360.csv'. Each csv file has a data of temperature for different location (X ,Y, Z ,T). Each csv file has different number of rows because result is generated from comsol. I want to estimate temperature on specific point in each csv file. I have made another folder named "DATA" which contains my specific point(X, Y ,Z) in which i want to estimate temperature in each csv file. It is possible that our specific point may not be in csv file so i need to find temperature on that point with the help of interpolation. I am attaching my 'DATA' file and one csv file. Please help me.
0 Comments
Accepted Answer
AndresVar
on 9 Mar 2022
Edited: AndresVar
on 9 Mar 2022
clear;
%%% get XYZ locations to interpolate
opts = delimitedTextImportOptions("NumVariables", 3);
opts.DataLines = [1, Inf];
opts.Delimiter = ",";
opts.VariableNames = ["VarName1", "VarName2", "VarName3"];
opts.VariableTypes = ["double", "double", "double"];
opts.ExtraColumnsRule = "ignore";
opts.EmptyLineRule = "read";
data = readtable("DATA.csv", opts);
XYZq = table2array(data);
%%% import data from a Theta file
clearvars opts;
opts = delimitedTextImportOptions("NumVariables", 4);
opts.DataLines = [10, Inf];
opts.Delimiter = ",";
opts.VariableNames = ["X", "Y", "Z", "TKThetha1"];
opts.VariableTypes = ["double", "double", "double", "double"];
opts.ExtraColumnsRule = "ignore";
opts.EmptyLineRule = "read";
data = readtable("1.csv", opts);
data = table2array(data);
% create a scattered interpolant object
T_data = scatteredInterpolant(data(:,1:3),data(:,4));
% interpolate the values
T_interp = T_data(XYZq)
12 Comments
AndresVar
on 30 Mar 2022
what do the numbers represent?
Anyway, here is one way
XYZq = csvread("DATA.csv");
num1s = 1:71;
num2s = 1:41;
T_interp = nan(size(XYZq,1),numel(num1s),numel(num2s)) % 3 dimensions
for num1 = num1s
for num2 = num2s
dataFilename = sprintf("%d_%d.csv",num1,num2)
data = csvread(dataFilename,9)
T_data = scatteredInterpolant(data(:,1:3),data(:,4));
T_interp(:,num1,num2) = T_data(XYZq);
end
end
The alternative is you put the csv files in a folder and read all. for each file make a variable name and assignit in a table or struct. This would be useful if you don't know num1s and num2s
More Answers (1)
See Also
Categories
Find more on MATLAB Report Generator in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!