turn a table column into doubles

41 vues (au cours des 30 derniers jours)
JFz
JFz le 25 Oct 2016
Hi,
I have a Table that has a column that was read from an excel sheet. The column should be numbers but is currently shown as strings like '3.14', '2.22', .... How to turn this column into doubles?
Thanks.
jennifer

Réponse acceptée

Guillaume
Guillaume le 25 Oct 2016
yourtable.columnname = str2double(yourtable.columnname);
is all that is needed.
  5 commentaires
Luisana Rodriguez Sequeira
What can we do if str2double returns NaN?
Image Analyst
Image Analyst le 24 Nov 2020
The the column is either nans or characters or something that is not a number. So don't try to cast it to doubles then!

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Plus de réponses (3)

Chaya N
Chaya N le 25 Oct 2016
str2num('enter your string here');
Please note that this would only work for strings that contain numerical data
  7 commentaires
Chaya N
Chaya N le 26 Oct 2016
I am learning new things here. Thank you.
JFz
JFz le 27 Oct 2016
str2double works!
Thank you so much!

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Image Analyst
Image Analyst le 25 Oct 2016
You could use xlsread() instead of readtable().
  1 commentaire
JFz
JFz le 25 Oct 2016
Will try it. Thanks.

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Priteshkumar Gohil
Priteshkumar Gohil le 12 Mai 2021
Modifié(e) : Priteshkumar Gohil le 12 Mai 2021
e.g. if you want to convert 1st column then following should work.
yourtable.(1) = str2double(t.(1));
or
yourtable.('COLUMN_TITLE') = str2double(t.('COLUMN_TITLE'));
  3 commentaires
Image Analyst
Image Analyst le 8 Juil 2021
@Arshey Dhangekar, start your own question and attach the csv file and code to import it into MATLAB, presumably with the readtable() function.
Arshey Dhangekar
Arshey Dhangekar le 8 Juil 2021
Modifié(e) : Arshey Dhangekar le 8 Juil 2021
Hello I know basic thing. So only I want to know how can I convert all data into double. I attach csv file
Press=readtable ("inst0 138.221.155.184 12_10_2020 14_49_56 2.csv")
varfun(@class,Press,'OutputFormat','cell')
Output
Columns 1 through 8
{'double'} {'cell'} {'double'} {'double'} {'double'} {'double'} {'double'} {'double'}
Columns 9 through 16
{'double'} {'double'} {'double'} {'double'} {'double'} {'double'} {'double'} {'double'}
Columns 17 through 25
{'double'} {'double'} {'cell'} {'cell'} {'cell'} {'cell'} {'cell'} {'cell'} {'cell'}
Columns 26 through 29
{'cell'} {'cell'} {'cell'} {'double'}

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