Hi,
I want to read data from a txt file. The data is organized so that each line is a record, e.g. with a string in column 1-7, a string in column 8-12, values in column 13-20, 21-28 and 29-36. It can happen that some values are blank, e.g. that in one record the value i columns 8-12 is a blank.
Until now I have used a very troublesome solution where firstly the file is imported to Excel and all blanks are replaced by some specific character, normally &, and then saved again as a txt file with just one Space between each variable in the record.
Then it is converted to a GAUSS dat-file with the Atog.exe running this file
input myfile.txt;
output myfile.dat;
msym &;
invar $ var1 var2 # var3 var4 var5 ;
outvar var1 var2 var3 var4 var5 ;
outtyp d;
I hope that someone can suggest a smarter way to do this?
Thanks in advance.
3 Answers
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Thanks,
Here is a few records from the data file. The columns have a fixed with. In this example the first three variables should be read as strings and the last two as numerical values. In the real file there are more columns with numerical values.
V621105 3110 03113 24 200 V621105 5210 0 23 V621105 5251 84 0 V621105 5252 165 0 V621105 6001 382 0 V621105 6007 63 0 V621200 0100 130000 17 V621200 0100 140000 3 V621200 0700 1222 V621200 0900 0 V621200 2000 140000 17 9
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Delimited text data is really easy to read in recent versions of GAUSS. In the current version of GAUSS if the file was comma-separated, you could read it into GAUSS like this:
X = loadd("myfile.csv");A file where a space could mean a separator or a missing value is somewhat difficult.
- Where do these files come from?
- Is there a way to get a version of the file with a different delimiter such as a tab, comma, semi-colon, etc?
Your Answer
3 Answers
Thanks,
Here is a few records from the data file. The columns have a fixed with. In this example the first three variables should be read as strings and the last two as numerical values. In the real file there are more columns with numerical values.
V621105 3110 03113 24 200 V621105 5210 0 23 V621105 5251 84 0 V621105 5252 165 0 V621105 6001 382 0 V621105 6007 63 0 V621200 0100 130000 17 V621200 0100 140000 3 V621200 0700 1222 V621200 0900 0 V621200 2000 140000 17 9
Delimited text data is really easy to read in recent versions of GAUSS. In the current version of GAUSS if the file was comma-separated, you could read it into GAUSS like this:
X = loadd("myfile.csv");A file where a space could mean a separator or a missing value is somewhat difficult.
- Where do these files come from?
- Is there a way to get a version of the file with a different delimiter such as a tab, comma, semi-colon, etc?