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Top Forums Shell Programming and Scripting Using sed to remove a column from a CSV Post 302912467 by Corona688 on Friday 8th of August 2014 11:54:03 AM
Old 08-08-2014
sed isn't really the right tool for dealing with columns. awk would be the correct tool, it understands columns as columns without weird regex convolutions.

As long as your CSV is actually comma separated -- uses , to separate columns and nowhere else -- this may work:

Code:
awk -F"," -v OFS="," '{ $1="" ; $0=substr($0,2) } 1' inputfile > outputfile

If your CSV isn't actually a CSV, a recursive parser that understands quotes is required and things start getting hard.
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CUT(1)							      General Commands Manual							    CUT(1)

NAME
cut - select out columns of a file SYNOPSIS
cut [ -b | -c] list [file...] cut -f list [-d delim] [ -s] OPTIONS
-b Cut specified bytes -c Select out specific characters -d Change the column delimiter to delim -f Select out specific fields that are separated by the -i Runs of delimiters count as one -s Suppres lines with no delimiter characters, when used EXAMPLES
cut -f 2 file # Extract field 2 cut -c 1-2,5 file # Extract character columns 1, 2, and 5 cut -c 1-5,7- file # Extract all columns except 6 DESCRIPTION
[file...]" delimiter character ( see delim)" with the -f option. Lines with no delimiters are passwd through untouched" Cut extracts one or more fields or columns from a file and writes them on standard output. If the -f flag is used, the fields are sepa- rated by a delimiter character, normally a tab, but can be changed using the -d flag. If the -c flag is used, specific columns can be specified. The list can be comma or BLANK separated. The -f and -c flags are mutually exclusive. Note: The POSIX1003.2 standard requires the option -b to cut out specific bytes in a file. It is intended for systems with multi byte characters (e.g. kanji), since MINIX uses only one byte characters, this option is equivalent to -c. For the same reason, the option -n has no effect and is not listed in this man- ual page. SEE ALSO
sed(1), awk(9). CUT(1)
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