Strings are converted to cells during readtable

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Bill Tubbs
Bill Tubbs el 10 de Jun. de 2022
Respondida: Adam Danz el 4 de En. de 2024
I am incrementally saving data to a csv file which includes strings:
data = table("string1", "string2");
writetable(data, "data.csv");
Later on:
data_from_file = readtable('data.csv')
data_from_file =
1×2 table
Var1 Var2
___________ ___________
{'string1'} {'string2'}
Note that the data are now char arrays in cells.
This is causing lots of problems, for example when I try to join the old data with the new:
new_data = table("string1", "string2");
data = outerjoin(data_from_file, new_data, 'MergeKeys', true)
Error using tabular/outerjoin (line 152)
Left and right key variables 'Var1' and 'Var1' are not comparable because one is
a non-cell.
Is there a way to avoid this problem or convert the chars back to strings after readtable?
  2 comentarios
KSSV
KSSV el 10 de Jun. de 2022
Show us your new_data.
Bill Tubbs
Bill Tubbs el 10 de Jun. de 2022
E.g.
new_data = table("string1", "string2");

Iniciar sesión para comentar.

Respuesta aceptada

Stephen23
Stephen23 el 10 de Jun. de 2022
Editada: Stephen23 el 10 de Jun. de 2022
The simple solution is to specify the TEXTTYPE option when importing:
data = table("string1", "string2");
writetable(data, "data.csv");
data_from_file = readtable('data.csv', 'TextType','string')
data_from_file = 1×2 table
Var1 Var2 _________ _________ "string1" "string2"

Más respuestas (2)

Adam Danz
Adam Danz el 4 de En. de 2024
When using the readtable(filename,opts,Name,Value) syntax, only a limited number of name-values pairs are available as input arguments and TextType is not one of them. If you are using the import options object and would like to enforce strings for text type, specify this name-value pair as an argument in detectImportOptions()
opts = detectImportOptions(filename,'TextType','string');
T = readtable(filename,opts)

KSSV
KSSV el 10 de Jun. de 2022
You can convert cell into a string and then use join.
data = table("string1", "string2");
writetable(data, "data.csv");
data_from_file = readtable('data.csv') ;
for i = 1:width(data_from_file)
data_from_file.(i) = string(data_from_file.(i)) ;
end
new_data = table("string3", "string4");
data = outerjoin(data_from_file, new_data, 'MergeKeys', true)

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