Import from .txt or .csv

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Brian
Brian am 19 Apr. 2012
I am importing some large .csv files where I have textual column headers and row headers. I am using the readtext() function from the FEX for mixed-type files http://www.mathworks.com/matlabcentral/fileexchange/10946. I am doing this to import the matrix into a large cell in Matlab from which I can separate my text and numeric data. My column headers are dates, which are fine and show up as text for my import. My row headers are financial CUSIPS, which sometimes contain a letter and show up as text, and other times contain all numbers (and begin with 0's) and then show up as numbers.
My questions - how can I import this typed of mixed data file preserving the format of all of my original data?
{[],'12/31/1999','01/03/2000';'88553510',1,1;'88579Y10',1,1;'00282410',1,1;}
shows up as
{[],'12/31/1999','01/03/2000';88553510,1,1;'88579Y10',1,1;00282410,1,1;}
Thanks a lot, Brian

Akzeptierte Antwort

Ken Atwell
Ken Atwell am 19 Apr. 2012
Assuming the CSV file looks like this:
,12/31/1999,01/03/2000
88553510,1,1
88579Y10,1,1
00282410,1,1
textscan (ship with MATLAB) should be sufficient. To skip the first (header) line, and then import three columns of comma-separated data, with the first row a text string and the other two rows containing numeric data:
f = fopen ('data.csv');
C = textscan(f, '%s %n %n', 'Delimiter', ',', 'HeaderLines', 1)
fclose(f);
This will create a 1x3 cell array, which each member of the cell array being one of the rows of your CSV data.
  6 Kommentare
Geoff
Geoff am 2 Mai 2012
The number of columns is the number of commas PLUS ONE! =)
Brian
Brian am 3 Mai 2012
Titus if you make your comment into an answer I will accept it.
Thanks a bunch,
Brian

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