import large csv file
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    Cem SARIKAYA
 am 10 Mai 2019
  
    
    
    
    
    Kommentiert: Walter Roberson
      
      
 am 13 Mai 2019
            hello, I have a 22 digit count in the first column of my csv file and all the numbers are important. But Matlab has written the number as E21 and losing significant figures, what should I do? and I have more than one question I just want to get the 1st, 3rd and 5th columns, how can I do?
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  Walter Roberson
      
      
 am 11 Mai 2019
        You cannot read in the first field as numeric. There is no support in the built in types for 22 decimal digits of precision.
detectImportOptions on the file and set the variable type for the first field to be string and readtable with that options structure.
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  Arvind Sathyanarayanan
      
 am 10 Mai 2019
        Use the readmatrix() command to import the csv file. The 'Output Type' arugment will let you change the data type and 'Range' argument lets you specify the columuns you want to read.
3 Kommentare
  Arvind Sathyanarayanan
      
 am 10 Mai 2019
				Could you please upload the code you're trying and the csv file?
  Jeremy Hughes
    
 am 13 Mai 2019
        The issue with 22 digits of precision in DECIMAL is that MATLAB's default number type is DOUBLE which really can only handle around 17 digits at which point the number system itself cannot distinguish the numbers. The import functions are rounding to the nearest double value.
i.e. 
1.000000000000000000000001 is the same as 1.0
If the data are all integers, you can specify int64/uint64.
>> A = readmatrix(filename,'OutputType','int64')
If not integers, than Walter's answer is the best you can do.
Jeremy
3 Kommentare
  Jeremy Hughes
    
 am 13 Mai 2019
				Ahhh yes, you're right. 
This makes me curious about where the data comes from. Maybe 80 bit long double? 
  Walter Roberson
      
      
 am 13 Mai 2019
				https://en.wikipedia.org/wiki/Extended_precision#IEEE_754_extended_precision_formats x64 architecture uses 64 bit significand with no "hidden bit", so you would not get any integer precision beyond what you could get with uint64.
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