
Replace values in matrix (text to value)
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Hi,
I have a matrix with 44 columns with the following headings:
id trip time objID status1 status2 status3 ... status40
I used textscan to read the data into one block. The problem is the "status" columns have "NULL" values as their first few values, but the columns are all different, ie. status1 has NULL for its first 5 rows, status2 for its first 3 rows, status3 for its first 10 rows, etc. Textscan has the "headerlines" argument that removes a specified number of rows from the beginning of the matrix, but is there anything I can do to remove a varying amount of rows? To ensure all the columns have the same number of values, I was going to replace all of the NULL values with a 0. Any idea on how to do that?
Thanks for the help.
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  Cedric
      
      
 am 21 Okt. 2013
        
      Bearbeitet: Cedric
      
      
 am 21 Okt. 2013
  
      Here is a small example using the following content
 vehicle trip_time  A    B    C
 C23432  1234556    NULL NULL NULL
 C23432  1234557    1    NULL NULL
 C23432  1234558    2    NULL 100
 C23432  1234559    3    10   200
 C23432  1234560    4    20   300
the question that remains is what you want/need NULL entries to be converted to.
 fid = fopen( 'myFile.txt', 'r' ) ;
 content = textscan( fid, '%s %f %s %s %s', 'headerlines', 1 ) ;
 fclose( fid ) ;
 for c = 3 : numel( content ),  content{c} = str2double( content{c} ) ;  end
 vehicle = content{1} ;
 data    = [content{2:end}] ;
With that you get
 >> vehicle
 vehicle = 
    'C23432'
    'C23432'
    'C23432'
    'C23432'
    'C23432'
which is a cell array of strings, and a numeric array for the rest of the data, with NaN entries for NULL values (seems appropriate)..
 >> data
 data =
     1234556         NaN         NaN         NaN
     1234557           1         NaN         NaN
     1234558           2         NaN         100
     1234559           3          10         200
     1234560           4          20         300
I'd personally work with that, but if you wanted zeros instead of NaNs, you could proceed as follows:
 >> data(isnan(data)) = 0
 data =
     1234556           0           0           0
     1234557           1           0           0
     1234558           2           0         100
     1234559           3          10         200
     1234560           4          20         300
It's more handy for e.g. plotting, but you loose the information about NULL entries, because you can't say anymore which were initially NULL and which were true zeros.
Let me know if it's not exactly what you wanted to achieve, and we can refine the answer.
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