View tabular file such as CSV from command line [closed]

You can also use this:

column -s, -t < somefile.csv | less -#2 -N -S

column is a standard unix program that is very convenient -- it finds the appropriate width of each column, and displays the text as a nicely formatted table.

Note: whenever you have empty fields, you need to put some kind of placeholder in it, otherwise the column gets merged with following columns. The following example demonstrates how to use sed to insert a placeholder:

$ cat data.csv
1,2,3,4,5
1,,,,5
$ sed 's/,,/, ,/g;s/,,/, ,/g' data.csv | column -s, -t
1  2  3  4  5
1           5
$ cat data.csv
1,2,3,4,5
1,,,,5
$ column -s, -t < data.csv
1  2  3  4  5
1  5
$ sed 's/,,/, ,/g;s/,,/, ,/g' data.csv | column -s, -t
1  2  3  4  5
1           5

Note that the substitution of ,, for , , is done twice. If you do it only once, 1,,,4 will become 1, ,,4 since the second comma is matched already.

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You can install csvtool (on Ubuntu) via

sudo apt-get install csvtool

and then run:

csvtool readable filename | view -

This will make it nice and pretty inside of a read-only vim instance, even if you have some cells with very long values.

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Have a look at csvkit. It provides a set of tools that adhere to the UNIX philosophy (meaning they are small, simple, single-purposed and can be combined).

Here is an example that extracts the ten most populated cities in Germany from the free Maxmind World Cities database and displays the result in a console-readable format:

$ csvgrep -e iso-8859-1 -c 1 -m "de" worldcitiespop | csvgrep -c 5 -r "\d+" 
  | csvsort -r -c 5 -l | csvcut -c 1,2,4,6 | head -n 11 | csvlook
-----------------------------------------------------
|  line_number | Country | AccentCity | Population  |
-----------------------------------------------------
|  1           | de      | Berlin     | 3398362     |
|  2           | de      | Hamburg    | 1733846     |
|  3           | de      | Munich     | 1246133     |
|  4           | de      | Cologne    | 968823      |
|  5           | de      | Frankfurt  | 648034      |
|  6           | de      | Dortmund   | 594255      |
|  7           | de      | Stuttgart  | 591688      |
|  8           | de      | Düsseldorf | 577139      |
|  9           | de      | Essen      | 576914      |
|  10          | de      | Bremen     | 546429      |
-----------------------------------------------------

Csvkit is platform independent because it is written in Python.

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Tabview: lightweight python curses command line CSV file viewer (and also other tabular Python data, like a list of lists) is here on Github

Features:

Python 2.7+, 3.x

Unicode support

Spreadsheet-like view for easily visualizing tabular data

Vim-like navigation (h,j,k,l, g(top), G(bottom), 12G goto line 12, m - mark, ' - goto mark, etc.)

Toggle persistent header row

Dynamically resize column widths and gap

Sort ascending or descending by any column. 'Natural' order sort for numeric values.

Full-text search, n and p to cycle between search results

'Enter' to view the full cell contents

Yank cell contents to clipboard

F1 or ? for keybindings

Can also use from python command line to visualize any tabular data (e.g. list-of-lists)

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If you're a vimmer, use the CSV plugin, which is juuust beautiful:

https://www.256bit.org/%7Echrisbra/csv.gif

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The nodejs package tecfu/tty-table can be globally installed to do precisely this:

apt-get install nodejs
npm i -g tty-table
cat data.csv | tty-table

https://i.stack.imgur.com/3KcvX.png

It can also handle streams.

For more info, see the docs for terminal usage here.

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xsv is more than a viewer. I recommend it for most CSV task on the command line, especially when dealing with large datasets.

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Ofri's answer gives you everything you asked for. But.. if you don't want to remember the command you can add this to your ~/.bashrc (or equivalent):

csview()
{
local file="$1"
sed "s/,/\t/g" "$file" | less -S
}

This is exactly the same as Ofri's answer except I have wrapped it in a shell function and am using the less -S option to stop the wrapping of lines (makes less behaves more like a office/oocalc).

Open a new shell (or type source ~/.bashrc in your current shell) and run the command using:

csview <filename>

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I used pisswillis's answer for a long time.

csview()
{
    local file="$1"
    sed "s/,/\t/g" "$file" | less -S
}

But then combined some code I found at http://chrisjean.com/2011/06/17/view-csv-data-from-the-command-line which works better for me:

csview()
{
    local file="$1"
    cat "$file" | sed -e 's/,,/, ,/g' | column -s, -t | less -#5 -N -S
}

The reason it works better for me is that it handles wide columns better.

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Yet another multi-functional CSV (and not only) manipulation tool: Miller. From its own description, it is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON. (link to github repository: https://github.com/johnkerl/miller)

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Here's a (probably too) simple option:

sed "s/,/\t/g" filename.csv | less

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tblless in the Tabulator package wraps the unix column command, and also aligns numeric columns.

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I've created tablign for these (and other) purposes. Install with

pip install tablign

and

$ cat test.csv
Header1,Header2,Header3
Pizza,Artichoke dip,Bob's Special of the Day
BLT,Ham on rye with the works,

$ tablign test.csv
Header1 , Header2                   , Header3
Pizza   , Artichoke dip             , Bob's Special of the Day
BLT     , Ham on rye with the works ,

Also works if the data is separated by something else than commas. Most importantly, it preserves the delimiters so you can also use it to style your ASCII tables without sacrificing your [Markdown,CSV,LaTeX] syntax.

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I wrote this csv_view.sh to format CSVs from the command line, this reads the entire file to figure out the optimal width of each column (requires perl, assumes there are no commas in fields, also uses less):

#!/bin/bash

perl -we '
  sub max( @ ) {
    my $max = shift;

    map { $max = $_ if $_ > $max } @_;
    return $max;
  }

  sub transpose( @ ) {
    my @matrix = @_;
    my $width  = scalar @{ $matrix[ 0 ] };
    my $height = scalar @matrix;

    return map { my $x = $_; [ map { $matrix[ $_ ][ $x ] } 0 .. $height - 1 ] } 0 .. $width - 1;
  }

  # Read all lines, as arrays of fields
  my @lines = map { s/\r?\n$//; [ split /,/ ] } ;

  my $widths =
    # Build a pack expression based on column lengths
    join "",

    # For each column get the longest length plus 1
    map { 'A' . ( 1 + max map { length } @$_ ) }

    # Get arrays of columns
    transpose

    @lines
  ;

  # Format all lines with pack
  map { print pack( $widths, @$_ ) . "\n" } @lines;
' $1 | less -NS

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Using TxtSushi you can do:

csvtopretty filename.csv | less -S

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Tabview is really good. Worked with 200+MB files that displayed nicely which were buggy with LibreOffice as well as csv plugin in gvim.

The Anaconda version is available here: https://anaconda.org/bioconda/tabview

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I wrote a script, viewtab , in Groovy for just this purpose. You invoke it like:

viewtab filename.csv

It is basically a super-lightweight spreadsheet that can be invoked from the command line, handles CSV and tab separated files, can read VERY large files that Excel and Numbers choke on, and is very fast. It's not command-line in the sense of being text-only, but it is platform independent and will probably fit the bill for many people looking for a solution to the problem of quickly inspecting many or large CSV files while working in a command line environment.

The script and how to install it are described here:

http://bayesianconspiracy.blogspot.com/2012/06/quick-csvtab-file-viewer.html

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There's this short command line script in python: https://github.com/rgrp/csv2ascii/blob/master/csv2ascii.py

Just download and place in your path. Usage is like

csv2ascii.py [options] csv-file-path

Convert csv file at csv-file-path to ascii form returning the result on stdout. If csv-file-path = '-' then read from stdin.

Options:

-h, --help            show this help message and exit
  -w WIDTH, --width=WIDTH
                        Width of ascii output
  -c COLUMNS, --columns=COLUMNS
                        Only display this number of columns

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