I work with CSV files and sometimes need to quickly check the contents of a row or column from the command line. In many cases cut, head, tail, and friends will do the job; however, cut cannot easily deal with situations such as

"this, is the first entry", this is the second, 34.5

Here, the first comma is part of the first field, but cut -d, -f1 disagrees. Before I write a solution myself, I was wondering if anyone knew of a good tool that already exists for this job. It would have to, at the very least, be able to handle the example above and return a column from a CSV formatted file. Other desirable features include the ability to select columns based on the column names given in the first row, support for other quoting styles and support for tab-separated files.

If you don't know of such a tool but have suggestions regarding implementing such a program in Bash, Perl, or Python, or other common scripting languages, I wouldn't mind such suggestions.

21 Answers 21


I am probably a little bit too late, but there is another tool worth mentioning: csvkit.

It has a lot of command line tools that can:

  • reformatting CSV files,
  • convert to and from CSV from various formats (JSON, SQL, XLS),
  • the equivalent of cut, grep, sort and others, but CSV-aware,
  • join different CSV files,
  • do general SQL queries on data from CSV files.
  • 6
    An excellent tool that meets the question criteria wonderfully (in particular it doesn't require jumping into a programming language and is well crafted to fit with other Unix utilities).
    – mm2001
    Nov 4, 2014 at 20:10
  • I'm looking for a csvkit alternative because csv does not support concatenating columns of the same file.
    – ptrcao
    Dec 21, 2019 at 9:12
  • csvkit's csvjoin seems to be broken as of version 1.0.2 Jan 28 at 11:26

You can use Python's csv module.

A simple example:

import csv
reader = csv.reader(open("test.csv", "r"))
for row in reader:
    for col in row:
        print col
  • My final solution was in python since my Perl was too rusty. Thanks.
    – Steven D
    Feb 24, 2011 at 3:02
  • 2
    Even better, use Pandas. It is explicitly designed to work with tabular data.
    – Josh
    Jul 15, 2014 at 19:24
  • Python is available almost everywhere and so this is a good suggestion. This will work with Python 3 too by simply rewriting the print statement to use a function print(col).
    – sshow
    Apr 21, 2020 at 16:16

Sounds like a job for Perl with Text::CSV.

perl -MText::CSV -pe '
    BEGIN {$csv = Text::CSV->new();}
    $csv->parse($_) or die;
    @fields = $csv->fields();
    print @fields[1,3];

See the documentation for how to handle column names. The separator and quoting style can be tuned with parameters to new. See also Text::CSV::Separator for separator guessing.

  • Is there a one liner you can compact this into. I like perl, but only when I can invoke it directly from the command line rather than with a script Jan 26, 2017 at 6:04
  • 2
    @user7000, unless your shell is (t)csh that command would work just fine at the prompt of your shell. You can always joins those lines together if you want it on one line. newline is generally just like space in the perl syntax like in C. Sep 12, 2017 at 12:07
  • I guess. Though squashing more than 2 lines into 1 isn't what I really mean by a one liner. I was hoping there was some syntactic sugar that would do some of it implicitly (like how the -e creates an implicit loop). Sep 12, 2017 at 22:33

I've found csvfix, a command line tool does the job well. You will need to make it yourself however:


It does all the things you'd expect, order/select columns, split/merge and many you wouldn't like generating SQL inserts from CSV data and diffing CSV data.


Miller is another nice tool for manipulating name-based data, including CSV (with headers). To extract the first column of a CSV file, without caring about its name, you’d do something like

printf '"first,column",second,third\n1,2,3\n' |
  mlr --csv -N cut -f 1
  • 2
    Miller is very impressive. I'd compare it to awk, but highly DSV-aware. Apr 18, 2018 at 21:59

If you want to use the command-line (and do not create an entire program to do the job), you'd like to use rows, a project I'm working on: it's a command-line interface to tabular data but also a Python library to use in your programs. With the command-line interface you can pretty-print any data in CSV, XLS, XLSX, HTML or any other tabular format supported by the library with a simple command:

rows print myfile.csv

If myfile.csv is like this:

RJ,Angra dos Reis,169511,825.09
RJ,Armação dos Búzios,27560,70.28

Then rows will print the contents in a beautiful way, like this:

| state |              city             | inhabitants |   area  |
|    RJ |                Angra dos Reis |      169511 |  825.09 |
|    RJ |                       Aperibé |       10213 |   94.64 |
|    RJ |                      Araruama |      112008 |  638.02 |
|    RJ |                         Areal |       11423 |  110.92 |
|    RJ |            Armação dos Búzios |       27560 |   70.28 |


If you are a Python developer and already have pip installed on your machine, just run inside a virtualenv or with sudo:

pip install rows

If you're using Debian:

sudo apt-get install rows

Other Cool Features

Converting Formats

You can convert between any supported format:

rows convert myfile.xlsx myfile.csv


Yes, you can use SQL into a CSV file:

$ rows query 'SELECT city, area FROM table1 WHERE inhabitants > 100000' myfile.csv
|      city      |  area  |
| Angra dos Reis | 825.09 |
|       Araruama | 638.02 |

Converting the output of the query to a file instead of stdout is also possible using the --output parameter.

As a Python Library

You can even use rows in your Python programs, too:

import rows
table = rows.import_from_csv('myfile.csv')
rows.export_to_txt(table, 'myfile.txt')
# `myfile.txt` will have same content as `rows print` output

Hope you enjoy it!

  • 1
    The project looks interesting. I tried to read the docs but the following warning (as of May 2021) made it look unprofessional. You might want to beef up your site. Thanks. HTTPS-Only Mode Alert Secure Connection Not Available You’ve enabled HTTPS-Only Mode for enhanced security, and a HTTPS version of turicas.info is not available. support.mozilla.org/en-US/kb/…
    – Leonid
    May 24, 2021 at 23:23

I used csvtool once and it saved me a lot of time and trouble. Callable from the shell.



I'd recommend xsv, a "fast CSV command line toolkit written in Rust".

Written by Ripgrep's author.

Featured in How we made our CSV processing 142x faster (Reddit thread).


R is not my favorite programming language, but it is good for things like this. If your csv file is

 col1, col2, col3
"this, is the first entry", this is the second, 34.5
'some more', "messed up", stuff

Inside the R interpreter type

> x=read.csv("foo.csv", header=FALSE)

> x
                     col1                col2   col3
1 this, is the first entry  this is the second   34.5
2              'some more'           messed up  stuff
> x[1]  # first col
1 this, is the first entry
2              'some more'
> x[1,] # first row
                      col1                col2  col3
1 this, is the first entry  this is the second  34.5

With regard to your other requests, for "the ability to select columns based on the column names given in the first row" see

> x["col1"]
1 this, is the first entry
2              'some more'

For "support for other quoting styles" see the quote argument to read.csv (and related functions). For "support for tab-separated files" see the sep argument to read.csv (set sep to '\t').

For more information see the online help.

> help(read.csv)
  • 1
    I'm very familiar with R, but my goal was to have something I could use easily from Bash.
    – Steven D
    Apr 6, 2011 at 15:03
  • 1
    @Steven: R can easily be run from the command line, in the same way as Python or Perl, if that is your only concern. See Rscript (part of the base R distribution) or the addon package littler. You can do #!/usr/bin/env Rscript or similar. Apr 7, 2011 at 18:21
  • Ah yes. I'm pretty proficient in R but hadn't used it much to create this type of utility. I have something working in Python but I may try to create something in R as well.
    – Steven D
    Apr 10, 2011 at 1:05

One of the best tool is Miller. It is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON.

In example

echo '"this, is the first entry", this is the second, 34.5' | \
mlr --icsv --implicit-csv-header cat

gives you

1=this, is the first entry,2= this is the second,3= 34.5

If you want a TSV

echo '"this, is the first entry", this is the second, 34.5' | \
mlr --c2t --implicit-csv-header cat

gives you (it's possible to remove the header)

1       2       3
this, is the first entry         this is the second      34.5

If you want first and third column, changing their order

echo '"this, is the first entry", this is the second, 34.5' | \
mlr --csv --implicit-csv-header --headerless-csv-output cut -o -f 3,1

gives you

 34.5,"this, is the first entry"

cissy will also do command-line csv processing. It's written in C (small/lightweight) with rpm and deb packages available for most distros.

Using the example:

echo '"this, is the first entry", this is the second, 34.5' | cissy -c 1
"this, is the first entry"


echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2
 this is the second


echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2-
 this is the second, 34.5
  • Appears to have become stale as of June,2020. Latest commit to src on Jun 15, 2016
    – Seamus
    Jun 20, 2020 at 10:07

If you want a visual / interactive tool in the terminal, I wholeheartedly recommend VisiData.

enter image description here

It has frequency tables (shown above), pivot, melting, scatterplots, filtering / computation using Python, and more.

You can pass csv files like so

vd hello.csv

There are csv specific options: --csv-dialect, --csv-delimiter, --csv-quotechar, and --csv-skipinitialspace for fine-tuned handling of csv files.


Have a look also at GNU Recutils and crush-tools.

(via http://www.reddit.com/r/commandline/comments/mfcu9/anyone_using_gnu_recutils_is_it_outdatedsuperceded/)


To use python from the command line, you can check out pythonpy (https://github.com/Russell91/pythonpy):

$ echo $'a,b,c\nd,e,f' | py '[x[1] for x in csv.reader(sys.stdin)']

try "csvtool" this package it's handy command line tool for handling CSV files

  • 1
    Already mentioned, with more detail...
    – jasonwryan
    Sep 3, 2015 at 9:27

There is also a Curry library for reading/writing files in CSV format: CSV.

  • 2
    Would you mind posting some sample code, like the Perl, Python and R answers? (Especially since Curry is not a common unix scripting language.) Apr 20, 2011 at 21:31
  • @Gilles: Yes, you are right, I should post some sample code to make the answer better. I'm going to do this in a while. Apr 20, 2011 at 21:36
  • It's been over 9 years now... sample code coming any day now I'm sure :)
    – Seamus
    Jun 20, 2020 at 10:10

The github repo Structured Text Tools has a useful list of relevant linux command line tools. In particular, the Delimiter Separated Values section lists several CSV capable tools that directly support the operations requested.


An awk solution

awk -vq='"' '
func csv2del(n) {
  for(i=n; i<=c; i++)
    {if(i%2 == 1) gsub(/,/, OFS, a[i])
    else a[i] = (q a[i] q)
    out = (out) ? out a[i] : a[i]}
  return out}
{c=split($0, a, q); out=X;
  if(a[1]) $0=csv2del(1)
  else $0=csv2del(2)}1' OFS='|' file

csvq is a command-line tool that uses SQL to query CSV files:

$ echo '"this, is the first entry", this is the second, 34.5' |
  csvq --no-header "SELECT * FROM STDIN"
|            c1            |          c2          |   c3   |
| this, is the first entry |  this is the second  |  34.5  |

Throwing another one on the pile...


It works like printf(1).

For example, with this input:


And this command line:

$ cat input.csv | csvprintf -i '%{IdNumber}04d: %{LastName}s, %{FirstName}s\n'

You get this output:

0001: Washington, George
0002: Ross, Betsy

Disclaimer: I wrote this


GNU Datamash works pretty well for me.

For example, here is a how to give a groupwise some of the values in column 3 grouped by the values in column 2. There are many other use cases.

$ echo "id,group,value
1,2,1" | datamash -t, --header-in --header-out --sort groupby 2 sum 3


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