Convert a Cell array with char and white spaces to Cell array with double without white spaces

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The colums in the timetable consist of cell arrays with characters. These charachters consist of a whit space after the numbers. The figure above is for clarification.
I want to change the cell arrays with charachters and whitspaces to a cell array with doubles(only numbers) without the white spaces.
I've already tried several things as example the script below. But C only gives NaN.
A = string(weatherdata.Temperature__F);
B = deblank(A);
C = str2double(B);
Does anyone have an idea how I can solve this? Thank you very much in advance.
  3 Comments
Stephen23
Stephen23 on 27 Sep 2021
Edited: Stephen23 on 27 Sep 2021
"The data is a csv file."
A .CSV is a simple text file whose format is defined by convention more than anything else.
What you actually uploaded is an .XLSX file, i.e. a rather complex XML-based proprietary spreadsheet file.
Nine columns of the "numeric" data are actually stored as text (replete with trailing non-breaking space character), which is the cause of your problems. Rather than messing around with trying to fix this in MATLAB, a much better solution would be to fix this badly formatted data when the spreadsheet is created.

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Accepted Answer

Walter Roberson
Walter Roberson on 27 Sep 2021
filename = 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/750699/sample%20data.xlsx';
opt = detectImportOptions(filename, 'VariableNamingRule', 'preserve');
opt = setvartype(opt, 1, 'datetime');
opt = setvartype(opt, 6, 'categorical');
t = readtable(filename, opt);
t.Properties.VariableNames{1} = 'Date';
badcols = [3:5 7:11 13];
varnames = t.Properties.VariableNames;
for col = badcols
thisvar = varnames{col};
t.(thisvar) = str2double(regexprep(t.(thisvar), '\s+', '', 'once'));
end
t.Date = t.Date + days(t.Time);
t.Date.Format = 'MMM d, yyyy HH:mm:ss';
tt = table2timetable(t)
tt = 4×12 timetable
Date Time Temperature_F DewPoint_F Humidity_percentage Wind Speed_mph Gust_mph Pressure_in Precip. Rate._in Precip. Accum._in UV Solar_w/m² _____________________ _________ _____________ __________ ___________________ ____ _________ ________ ___________ ________________ _________________ __ __________ Sep 14, 2021 00:04:00 0.0027778 57.2 54.7 91 West 0.2 0.4 29.76 0 0 0 0 Sep 14, 2021 00:09:00 0.00625 57.1 54.5 91 NW 0.1 0.3 29.76 0 0 0 0 Sep 14, 2021 00:14:00 0.0097222 56.8 54.4 91 WNW 0.2 0.3 29.76 0 0 0 0 Sep 14, 2021 00:19:00 0.013194 56.9 54.6 92 West 0.6 0.9 29.76 0 0 0 0

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