Save table with cell arrays in csv

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Oliver Steiner
Oliver Steiner il 1 Feb 2023
Commentato: Image Analyst il 3 Feb 2023
Hey! I created a table with cell arrays. In each cell is data from one condition. When I want to convert the table into csv this does not work. The table now looks like this:
"
time0 correct0 time1 correct1 time10 correct10
______________ ______________ ______________ ______________ ______________ ______________
{ 69×1 double} { 69×1 double} { 99×1 double} { 99×1 double} {127×1 double} {127×1 double}
"
In excel in shoul look like this:
"
time0 correct0 time1 correct1 time10 correct10
______________ ______________ ______________ ______________ ______________ ______________
{1,2,3......53,35} {1,2,3......53,35} {1,2,3......53,35} {1,2,3......53,35} {1,2,3......53,35} {1,2,3......53,35}
"
So that in each cell are the data from the array seperated by a comma.
Many thanks!
Best
Oliver

Accedi per rispondere a questa domanda.

Risposta accettata

Stephen23
Stephen23 il 2 Feb 2023
Modificato: Stephen23 il 2 Feb 2023
Ran in:
T = load('table.mat').table % !!! do NOT use "table" as a variable name !!!
T = 18×6 table
time0 correct0 time1 correct1 time10 correct10 ______________ ______________ ______________ ______________ ______________ ______________ { 69×1 double} { 69×1 double} { 99×1 double} { 99×1 double} {127×1 double} {127×1 double} {140×1 double} {140×1 double} {131×1 double} {131×1 double} {141×1 double} {141×1 double} {100×1 double} {100×1 double} {117×1 double} {117×1 double} {110×1 double} {110×1 double} { 41×1 double} { 41×1 double} { 60×1 double} { 60×1 double} { 55×1 double} { 55×1 double} {134×1 double} {134×1 double} {132×1 double} {132×1 double} {136×1 double} {136×1 double} {126×1 double} {126×1 double} {126×1 double} {126×1 double} {126×1 double} {126×1 double} { 61×1 double} { 61×1 double} { 85×1 double} { 85×1 double} { 96×1 double} { 96×1 double} { 52×1 double} { 52×1 double} { 65×1 double} { 65×1 double} { 73×1 double} { 73×1 double} {104×1 double} {104×1 double} {125×1 double} {125×1 double} {121×1 double} {121×1 double} { 74×1 double} { 74×1 double} { 68×1 double} { 68×1 double} { 54×1 double} { 54×1 double} { 97×1 double} { 97×1 double} { 95×1 double} { 95×1 double} {111×1 double} {111×1 double} { 70×1 double} { 70×1 double} { 74×1 double} { 74×1 double} { 72×1 double} { 72×1 double} {120×1 double} {120×1 double} {125×1 double} {125×1 double} {125×1 double} {125×1 double} {106×1 double} {106×1 double} { 99×1 double} { 99×1 double} {110×1 double} {110×1 double} {118×1 double} {118×1 double} {104×1 double} {104×1 double} {122×1 double} {122×1 double} {115×1 double} {115×1 double} {116×1 double} {116×1 double} {122×1 double} {122×1 double}
F = @(v)strjoin(string(v),',');
T = convertvars(T, @iscell, @(c)cellfun(F,c))
T = 18×6 table
time0 correct0 time1 correct1 time10 correct10 __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ "132.08,279.17,174.58,225.42,278.75,276.25,180.83,184.17,131.67,194.17,250.83,-1344.58,157.5,-1331.67,279.58,-1325.83,-1315.83,285.42,237.5,178.75,328.33,164.58,164.58,219.17,318.75,220,325.83,-1330.42,314.17,310.42,217.08,161.25,-1343.33,-1354.17,193.75,186.67,135.42,231.25,-1361.67,191.25,187.5,278.75,270.83,120.42,220.83,267.92,172.5,120,171.25,121.25,-1385.42,213.33,115.42,215.42,229.58,131.25,174.58,-1382.5,214.17,-1390.42,197.92,195.42,149.17,101.67,103.33,153.75,-1394.58,258.75,268.75" "1,0,1,1,1,0,0,1,0,1,0,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0,1,0,1,1,1,1,0,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1" 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"180,183.75,-1415.42,-1413.75,134.58,233.75,231.25,231.25,232.08,182.08,81.25,82.5,232.5,134.58,230.42,-1420.83,228.75,127.08,227.5,177.5,129.17,177.08,126.67,176.25,177.08,229.17,-1417.5,132.92,83.33,80.83,232.92,185.42,-1412.92,237.5,89.58,190.42,139.58,136.67,187.92,-1411.67,84.17,77.08,178.75,71.67,220.83,221.25,121.25,222.92,71.67,172.08,223.75,-1428.33,122.92,226.25,174.58,75.42,227.5,178.33,76.67,128.75,180,229.58,179.58,130,127.5,180.42,79.58,-1420.42,79.58,230.42,228.75,75" "1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1" "339.58,282.92,-1325,220.83,270.42,315,158.75,206.67,261.25,261.67,255.83,305.42,-1338.33,321.25,269.58,222.08,174.17,325,172.5,165.42,-1332.92,-1332.08,-1331.67,222.5,175.83,-1320,233.33,333.33,234.58,235,285,332.5,325.42,171.67,-1327.92,-1329.58,172.5,224.58,223.75,277.08,185.42,-1320.42,183.75,179.17,-1330,317.08,268.33,269.58,311.67,210.83,-1336.67,315,262.92,216.67,213.75,161.25,264.58,-1340.83,312.92,314.58,-1329.17,220.83,164.58,317.5,167.5,-1333.75,270.42,-1334.17,267.08,221.25,271.25,318.75,-1333.33,221.67,274.17,172.92,320.42,312.5,212.5,164.58,162.92,-1343.75,204.58,252.08,-1342.92,250,-1352.5,197.5,-1346.25,-1346.25,205.83,150,-1352.5,257.92,317.5,218.75,164.17,264.17,318.75,318.75,152.92,249.58,196.25,294.17,-1355.83,195,-1367.5,181.25,132.92,284.17,243.33,190.83,-1359.17,143.33,-1354.58,147.92,145.83,297.08,195.83,244.58" 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"-1317.5,-1332.5,164.17,312.5,259.58,300,149.58,199.17,192.92,293.75,248.33,292.08,239.17,187.08,181.67,182.5,129.58,231.25,185.83,137.5,286.67,234.17,-1365.83,235.42,-1367.5,-1367.92,-1368.75,230.42,271.25,275,175.42,171.25,-1377.08,270.83,268.75,118.75,-1377.5,-1379.17,224.58,173.75,120.83,222.92,130.42,230,132.5,283.75,235.42,289.58,189.17,190.83,140,142.92,192.92,189.58,234.17,183.75,-1367.08,-1364.17,140.42,242.5,185.83,-1365,233.33,238.33,137.92,187.08,232.08,-1368.75,280,132.92,-1367.92,284.17,-1365.83,285.42,230.83,177.5,280.42,179.17,177.08,129.58,232.92,130.42,282.92,-1359.58,298.33,153.75,-1346.67,295.83,195,245.42,297.08,-1352.92,137.92,-1361.25,190.42,243.33,195.42,142.92,191.25,189.58,187.5,280,277.5,172.08,122.5,222.5,124.17,174.17,127.08,-1377.08,122.08,-1376.67,-1378.75,167.92,115,224.58,234.58,-1362.08,295,-1352.5,298.75,-1352.08,150.42,300.42,254.17" "0,0,1,0,0,1,1,1,1,0,1,0,1,1,0,0,0,1,0,1,1,0,1,0,0,1,1,0,0,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,0,0,0,0,1,0,0,1,0,1,0,1,1,1,0,1,0,0,1,0,0,1,1,0,1,1,0,1,1,1,1,0,0,0,1,1,1,1,0,1,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,1,1,0,1"
writetable(T,'myfile.csv')

Più risposte (2)

dpb
dpb il 1 Feb 2023
Spostato: Image Analyst il 1 Feb 2023
Ran in:
What do you propose to do with the spreadsheet when you have it? That'll be just a string of text, and to write it to a given cell like that you'll have to turn it to text first...something like
C={[1:5].'};
sprintf('%d,',C{:})
ans = '1,2,3,4,5,'
without the nicety of eliminating the trailing comma by counting the number elements and writing specific formatting string.
All in all, looks like abadidea™, would strongly suggest a data redesign is needed...
  1 Commento
Oliver Steiner
Oliver Steiner il 2 Feb 2023
Modificato: Oliver Steiner il 2 Feb 2023
Thank you! I agree that a data redesign would be good. I am working on this... The basic idea is that I load data from participants and store them in a table in which each cell contains all the data from on condition. I found a smoothing code in python and therfore I want to safe the data in csv to convert it into a panda dataframe. The code looks like this:

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Image Analyst
Image Analyst il 1 Feb 2023
I agree with @dpb if you want all those numbers in a single cell in Excel, you're going to have to turn the vector into a string and then put the string into a cell. Something like (untested)
t2 = table; % Create new table.
% Make columns have the same name as the original table.
t2.Properties.VariableNames = t.Properties.VariableNames
for row = 1 : height(t)
for col = 1 : width(t)
% Get cell contents.
vec = t{row, col}
% Turn into string. Assume numbers are integers.
% Otherwise use %f instead of %d.
str = sprintf('%d ')
t2{row, col} = {str};
end
end
writetable(t2, excelFullFileName);
You didn't attach your table so I didn't get a chance to test it. If it doesn't work, fix it or else attach your table in a .mat file.
  6 Commenti
Mostra 4 commenti meno recenti
Oliver Steiner
Oliver Steiner il 3 Feb 2023
Hey! I just added your code to the existening code. This is the "Filteringnoiseinmatlab .m" code. Many thx!
Image Analyst
Image Analyst il 3 Feb 2023
>> Filteringnoiseinmatlab
Error using load
Unable to find file or directory 'expResEye_P01_AllB.mat'.
Error in Filteringnoiseinmatlab (line 41)
load(sprintf('expResEye_%s_AllB.mat', char(subs(1, sub))));

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