Search results for "dist:Text-RecordParser KCLARK"
Text::RecordParser - read record-oriented files
This module is for reading record-oriented data in a delimited text file. The most common example have records separated by newlines and fields separated by commas or tabs, but this module aims to provide a consistent interface for handling sequentia...
KCLARK/Text-RecordParser-1.6.5 - 21 Apr 2015 20:01:10 UTC
Text::RecordParser::Tab - read tab-delimited files
This module is a shortcut for getting a tab-delimited parser. new Call "new" as normal but without worrying about "field_separator" or "fs." Because this: my $p = Text::RecordParser::Tab->new($file); Is easier to type than this my $p = Text::RecordPa...
KCLARK/Text-RecordParser-1.6.5 - 21 Apr 2015 20:01:10 UTC
Text::RecordParser::Object - read delimited text files as objects
This module extends the idea of how you interact with delimited text files, allowing you to enforce field names and identify field aliases easily. That is, if you are using the "fetchrow_hashref" method to read each line, you may misspell the hash ke...
KCLARK/Text-RecordParser-1.6.5 - 21 Apr 2015 20:01:10 UTC
tablify - turn a delimited text file into a text table
This script is essentially a quick way to parse a delimited text file and view it as a nice ASCII table. By selecting only certain fields, employing a where clause to only select records where a field matches some value, and using the limit to only s...
KCLARK/Text-RecordParser-1.6.5 - 21 Apr 2015 20:01:10 UTC
tabmerge - unify delimited files on common fields
This program merges the fields -- not the rows -- of delimited text files. That is, if several files are almost but not quite entirely unlike each other in their structure (in their field names, numbers or orders), this script allows you to easily un...
KCLARK/Text-RecordParser-1.6.5 - 21 Apr 2015 20:01:10 UTC
tab2graph - turn tabular data into a graph
Turns tabular data into a graph using GraphViz. This may or may not be useful....
KCLARK/Text-RecordParser-1.6.5 - 21 Apr 2015 20:01:10 UTC