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pnuadsv 1.0.1
Installation
Depending on if you want only this tool, the full set of PNU tools, or PNU plus a selection of additional third-parties tools, use one of these commands:
pip install pnu-adsv
pip install PNU
pip install pytnix
ADSV(1)
NAME
adsv - Analyze delimiter-separated values files
SYNOPSIS
adsv
[-d|--delimiter CHAR]
[-e|--encoding STRING]
[-f|--fields LIST]
[-F|--flatten]
[-h|--hide INT]
[-m|--min INT]
[-M|--max INT]
[-t|--top INT]
[--debug]
[--help|-?]
[--version]
[--]
filename
[...]
DESCRIPTION
The adsv utility analyzes delimiter-separated values files, such as Comma-Separated Values .csv or Tab-Separated Values .tsv files, and either prints information about their structure and the data in each of their fields, or prints a selection of fields in the order requested.
The information gathered are:
for the file:
the character set encoding
the CSV dialect (characters used for delimiting, quoting, escaping or lines terminating. Plus the use or not of double quoting)
the presence or not of a headers line
the number of lines and fields
for each field:
its number and header
the number of distinct values
the values type (strings, integers, floating numbers, complex numbers, date and time (whatever their format))
the values by descending count
the values range by ascending order using the detected type (useful for numbers and dates)
When analyzing a DSV dataset, this allows for a quick and automated way of getting global information about the contents, and explore any oddities...
There are options:
to control and limit what is printed (-h|--hide, -m|--min, -M|--max and -t|--top),
to avoid (or correct) the detection of the character set encoding and delimiter (-d|--delimiter, -e|--encoding):
the character set detection can take a long time with big files, so if you know that the file is in "Windows-1252" or "utf-8" encoding, it's quicker to say it...
If you use the -f|--fields option, you'll skip printing the file analysis, and instead print the selected fields in the order requested, using the detected delimiting, quoting and escaping characters.
If you encounter multi-lines fields and want to "flatten" them to single lines, you can use the -F|--flatten option for that.
OPTIONS
Options
Use
-d|--delimiter CHAR
Specify delimiter to be CHAR
-e|--encoding STRING
Specify charset encoding to be STRING (because detecting encoding can take a long time!)
-f|--fields LIST
Extract LISTed fields values in given order (ex: 6,2-4,1 with fields numbered from 1)
-F|--flatten
Make multi-lines fields single line
-h|--hide INT
Hide the display of distinct values above INT % (default is 20%)
-m|--min INT
Only display distinct values whose count >= INT (default is to display all distinct values)
-M|--max INT
Only display INT lines of distinct values (default is to display all distinct values, within the hide limit)
-t|--top INT
Only display the top/bottom INT lines of values (default is to display the 5 bottom and top lines)
--debug
Enable debug mode
--help|-?
Print usage and a short help message and exit
--version
Print version and exit
--
Options processing terminator
ENVIRONMENT
The ADSV_DEBUG environment variable can also be set to any value to enable debug mode.
EXIT STATUS
The adsv utility exits 0 on success, and >0 if an error occurs.
SEE ALSO
cut(1),
file(1)
STANDARDS
The adsv utility is not a standard UNIX command.
This implementation tries to follow the PEP 8 style guide for Python code.
The DSV dialects that can be handled are those compatible with RFC 4180: Common Format and MIME Type for Comma-Separated Values (CSV) Files.
PORTABILITY
Tested OK under Windows.
HISTORY
This implementation was made for the PNU project.
I do this kind of analysis with each dataset I have to work with.
Last time I did that, I decided that it was about time to fully automate the process, especially as I was working with fields containing multi-lines values...
LICENSE
It is available under the 3-clause BSD license.
AUTHORS
Hubert Tournier
CAVEATS
Using "Sep=X" as a first line in order to set the X character as a delimiter is not supported.
There is no support either for potential commented lines inside the data (for example, with /etc/passwd files under Unix), but it's not part of any recognized DSV dialect anyway.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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