Anyone know of a command-line CSV viewer for Linux/OS X? I'm thinking of something like less
but that spaces out the columns in a more readable way. (I'd be fine with opening it with OpenOffice Calc or Excel, but that's way too overpowered for just looking at the data like I need to.) Having horizontal and vertical scrolling would be great.
This question is related to
linux
macos
command-line
csv
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
It can also handle streams.
For more info, see the docs for terminal usage here.
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.
tblless
in the Tabulator package wraps the unix column
command, and also aligns numeric columns.
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.
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
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.
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
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
If you're a vimmer, use the CSV plugin, which is juuust beautiful.
My FOSS project CSVfix allows you to display CSV files in "ASCII art" table format.
Here's a (probably too) simple option:
sed "s/,/\t/g" filename.csv | less
Tabview: lightweight python curses command line CSV file viewer (and also other tabular Python data, like a list of lists) is here on Github
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)
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>
Using TxtSushi you can do:
csvtopretty filename.csv | less -S
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.
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
xsv is more than a viewer. I recommend it for most CSV task on the command line, especially when dealing with large datasets.
Source: Stackoverflow.com