I am trying to figure out how to use writetable instead of xlswrite, but the feature is converting my numbers to text. Headers are text.

3 次查看(过去 30 天)
Original Code that works fine
Excel_Sheet = [Excel_head; Excel_out];
xlswrite('C:\D_Local\MATLAB\AAAA\PhaseII_CA_out.xlsx',Excel_sheet);
Where Excel_head is a text array and Excel_out is a numberical matrix of values.
New Code that converts the numbers to text
Excel_sheet = table([Excel_head; Excel_out]);
writetable(Excel_sheet,'C:\D_Local\MATLAB\AAA\PhaseII_CA_out.xlsx');
why does it convert? There must be a way of making the table with numbers?
Best regards,
Farley

采纳的回答

Farley Postgate
Farley Postgate 2024-7-31
So what I found to work was to separate the command into two commands, one for the header text and one for the numerical data.
filename = 'C:\CA_SIM\xxx\CA_out.xlsx';
writematrix(Excel_head,filename,'Sheet','Data1','Range','A1');
writematrix(Excel_out,filename,'Sheet','Data1','Range','A2');
This replaces
Excel_sheet = [Excel_head; Excel_out];
xlswrite('C:\CA_SIM\CA_out.xlsx',Excel_sheet);
I tried all the suggestions but this is the only way I found to get a clean excel spreadsheet with numberical data under text headers.
Thanks for the help,
Farley Postgate

更多回答(2 个)

Voss
Voss 2024-7-9
Excel_Sheet = array2table(Excel_out,'VariableNames',Excel_head);
writetable(Excel_sheet,'C:\D_Local\MATLAB\AAA\PhaseII_CA_out.xlsx');

Steven Lord
Steven Lord 2024-7-9
Don't concatenate Excel_head and Excel_out together. Store them as separate table variables.
load patients;
LNS = string(LastName);
T = table(LNS, Age, VariableNames = ["Last Name", "Age"]);
head(T)
Last Name Age __________ ___ "Smith" 38 "Johnson" 43 "Williams" 38 "Jones" 40 "Brown" 49 "Davis" 46 "Miller" 33 "Wilson" 40
Compare with the concatenation code, which turns the numeric Age variable into text:
T2 = table([LNS, Age], VariableNames = ["Last Name and Age"]);
head(T2)
Last Name and Age __________________ "Smith" "38" "Johnson" "43" "Williams" "38" "Jones" "40" "Brown" "49" "Davis" "46" "Miller" "33" "Wilson" "40"

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