Dot indexing is not supported for variables of this type.

Question

Taylor Knuth 2020-3-30

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/513921-dot-indexing-is-not-supported-for-variables-of-this-type

评论： Walter Roberson 2020-12-19

SLC_Test4_Pickup_Moto_1066L.txt

I am trying to import a text file (that I have attached) and when I run the code, I get the dot indexing error. I have similar files that I am able to import and I have run a size on each file and the attached file has a size of 1 11 while the other files have size of 4560 11. When using the command line and the uiopen to see the files, they both open inside matlab but when using the following code I get the dot indexing error.

Any advice on why this file returns an error is greatly appreciated.

SLC4PickupMoto1066L=importdata('SLC_Test4_Pickup_Moto_1066L.txt');
SLC4PickupMoto1066L=SLC4PickupMoto1066L.data;

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Answer 1

Walter Roberson 2020-3-30

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https://ww2.mathworks.cn/matlabcentral/answers/513921-dot-indexing-is-not-supported-for-variables-of-this-type#answer_422813

I suspect that the other files do not start with a numeric line before the column headers.

I recommend switching to readtable(). If you are using R2019b or earlier, I would recommend calling detectImportOptions; in R2020a that started being called automatically.

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Aniket Manjare 2020-12-18

在 MATLAB Online 中打开

i am facing the same issue can you please help me . below is my code

%%
%Data Collection and Labeling
clc;
clear all;
labelPoints = {[2,50],[51,80]}; 
NoOfFailureModes = 2;
estimateRULFlags = [false, true]; 
path = 'Datasets/'; 
labels = {[categorical("OFF"),categorical("ON"),categorical("DUCT BLOCKAGE")],[categorical("OFF"),categorical("ON"),categorical("ROTOR IMBALANCE")]};
rawdata = cell(NoOfFailureModes);
data = cell(NoOfFailureModes);
for i = 1:NoOfFailureModes
    rawdata{i} = readtable([path 'Dataset' num2str(i) '.csv'],'Delimiter',','); %Read the downloaded csv file
    data{i} = dataParsing(rawdata{i},labelPoints{i},labels{i},i); %Parse the rawdata
end
function data = dataParsing(rawdata,labelPoints,labels,dataset)
    bias = 44;
    noOfDataPoints = length(rawdata.entry_id);
    labelPoints = [0 labelPoints noOfDataPoints];
    for i = 1:length(labelPoints)-1 
        Label(labelPoints(i)+1:labelPoints(i+1),:) = labels(i); %Create Labels for the data points
    end
    j = 1;
    if(dataset == 2)
        offset = 0;
    else
        offset = 2000;
    end
    for i = 1:noOfDataPoints
        text1 = strsplit(rawdata.field1{i},',');
        text2 = strsplit(rawdata.field2{i},',');
        text3 = strsplit(rawdata.field3{i},',');
        text4 = strsplit(rawdata.field4{i},',');
        text5 = strsplit(rawdata.field5{i},',');
        text6 = strsplit(rawdata.field6{i},',');
        var = zeros(length(text1)-1,6);
        flag = true;
        for k = 1:length(text1)-1 %to neglect the last comma, use -1 
           var(k,1) = str2num(text1{k})-bias;
           var(k,2) = str2num(text2{k})-bias;
           var(k,3) = str2num(text3{k})-bias;
           if(var(k,1) ~= -bias || var(k,2) ~= -bias || var(k,3) ~= -bias ) %Turning the device off and on will reset the first data set to all zeroes
               var(k,4) = str2num(text4{k})-bias;
               var(k,5) = str2num(text5{k})-bias;
               var(k,6) = str2num(text6{k})-bias;
           else
               flag = false;
               break;
           end
        end
        if(flag) %accept a valid datapoint
            data.Label(j,:) = Label(i);
            data.sno(j,:) = rawdata.entry_id(i) + offset;
            data.X(j,:) = [var(:,1);var(:,4)];
            data.Y(j,:) = [var(:,2);var(:,5)];
            data.Z(j,:) = [var(:,3);var(:,6)];
            j = j+1;
        end
    end
    data = struct2table(data);
end