Is there a robust command line tool for processing csv files?
Clash Royale CLAN TAG#URR8PPP
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.
command-line software-rec text-processing csv
add a comment |
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.
command-line software-rec text-processing csv
add a comment |
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.
command-line software-rec text-processing csv
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.
command-line software-rec text-processing csv
command-line software-rec text-processing csv
edited Feb 15 '11 at 8:03
Steven D
asked Feb 15 '11 at 7:55
Steven DSteven D
32.3k797108
32.3k797108
add a comment |
add a comment |
18 Answers
18
active
oldest
votes
You can use Python's csv
module.
A simple example:
import csv
reader = csv.reader(open("test.csv", "rb"))
for row in reader:
for col in row:
print col
2
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
2
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
1
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
3
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
2
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
|
show 2 more comments
I am probably a little bit too late, but there is another tool worth mentioning: csvkit
http://csvkit.readthedocs.org/
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.
5
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 '14 at 20:10
add a comment |
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
– user7000
Jan 26 '17 at 6:04
1
@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.
– Stéphane Chazelas
Sep 12 '17 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).
– user7000
Sep 12 '17 at 22:33
add a comment |
I've found csvfix, a command line tool does the job well. You will need to make it yourself however:
http://neilb.bitbucket.org/csvfix
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.
add a comment |
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:
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
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 |
+-------+-------------------------------+-------------+---------+
Installing
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
Querying
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 you 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!
add a comment |
R is not my favorite programming language, but it is good for things like this.
If your csv file is
***********
foo.csv
***********
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
col1
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"]
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)
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 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. SeeRscript
(part of the base R distribution) or the addon packagelittler
. You can do#!/usr/bin/env Rscript
or similar.
– Faheem Mitha
Apr 7 '11 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 '11 at 1:05
add a comment |
I used csvtool once and it saved me a lot of time and trouble. Callable from the shell.
http://caml.inria.fr/cgi-bin/hump.en.cgi?contrib=447
add a comment |
Or, you could try some awk magic.
Howewer, I'm not a good awk user and cannot confirm this would work properly, and how to do it.
9
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
add a comment |
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/)
add a comment |
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,thirdn1,2,3n' |
mlr --csv --implicit-csv-header --headerless-csv-output cut -f 1
Miller is very impressive. I'd compare it toawk
, but highly DSV-aware.
– Derek Mahar
Apr 18 '18 at 21:59
add a comment |
To use python from the command line, you can check out pythonpy (https://github.com/Russell91/pythonpy):
$ echo $'a,b,cnd,e,f' | py '[x[1] for x in csv.reader(sys.stdin)']
b
e
add a comment |
try "csvtool" this package
it's handy command line tool for handling CSV files
1
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
add a comment |
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"
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2
this is the second
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2-
this is the second, 34.5
add a comment |
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.)
– Gilles
Apr 20 '11 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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
add a comment |
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.
add a comment |
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
add a comment |
I'd recommend xsv - A fast CSV command line toolkit written in Rust (Github).
Written by Ripgrep's author.
Featured in How we made our CSV processing 142x faster (Reddit thread).
add a comment |
One of the best tool is Miller (http://johnkerl.org/miller/doc/index.html). 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"
add a comment |
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18 Answers
18
active
oldest
votes
18 Answers
18
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can use Python's csv
module.
A simple example:
import csv
reader = csv.reader(open("test.csv", "rb"))
for row in reader:
for col in row:
print col
2
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
2
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
1
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
3
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
2
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
|
show 2 more comments
You can use Python's csv
module.
A simple example:
import csv
reader = csv.reader(open("test.csv", "rb"))
for row in reader:
for col in row:
print col
2
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
2
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
1
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
3
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
2
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
|
show 2 more comments
You can use Python's csv
module.
A simple example:
import csv
reader = csv.reader(open("test.csv", "rb"))
for row in reader:
for col in row:
print col
You can use Python's csv
module.
A simple example:
import csv
reader = csv.reader(open("test.csv", "rb"))
for row in reader:
for col in row:
print col
answered Feb 15 '11 at 8:56
dogbanedogbane
14.3k96458
14.3k96458
2
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
2
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
1
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
3
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
2
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
|
show 2 more comments
2
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
2
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
1
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
3
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
2
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
2
2
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
Even better, use Pandas. It is explicitly designed to work with tabular data.
– Josh
Jul 15 '14 at 19:24
2
2
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
there is no reason beside regular expression to use perl anyway, and regex are not the answer this time
– pqnet
Aug 12 '14 at 5:58
1
1
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
@pqnet "there is no reason beside regular expression to use perl anyway" -- troll much?
– jrw32982
Jun 22 '15 at 16:38
3
3
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
@jrw32982 No trolling, I honestly believe there is some truth in the sentence "he had a problem, he decided to solve it with perl, now he has two problems". I would suggest against perl except if your problem is based on regular language parsing, and that's almost never the case.
– pqnet
Jun 23 '15 at 15:41
2
2
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
@pqnet so you mean: "for me there is no reason to use perl other than regexp" - that's a reasonable statement. For the rest of the world, your original statement was just a troll.
– jrw32982
Jun 23 '15 at 19:39
|
show 2 more comments
I am probably a little bit too late, but there is another tool worth mentioning: csvkit
http://csvkit.readthedocs.org/
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.
5
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 '14 at 20:10
add a comment |
I am probably a little bit too late, but there is another tool worth mentioning: csvkit
http://csvkit.readthedocs.org/
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.
5
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 '14 at 20:10
add a comment |
I am probably a little bit too late, but there is another tool worth mentioning: csvkit
http://csvkit.readthedocs.org/
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.
I am probably a little bit too late, but there is another tool worth mentioning: csvkit
http://csvkit.readthedocs.org/
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.
edited Jan 19 at 8:27
Kusalananda
128k16241398
128k16241398
answered Jul 15 '14 at 17:18
romaiaromaia
45144
45144
5
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 '14 at 20:10
add a comment |
5
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 '14 at 20:10
5
5
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 '14 at 20:10
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 '14 at 20:10
add a comment |
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
– user7000
Jan 26 '17 at 6:04
1
@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.
– Stéphane Chazelas
Sep 12 '17 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).
– user7000
Sep 12 '17 at 22:33
add a comment |
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
– user7000
Jan 26 '17 at 6:04
1
@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.
– Stéphane Chazelas
Sep 12 '17 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).
– user7000
Sep 12 '17 at 22:33
add a comment |
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.
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.
answered Feb 15 '11 at 8:31
GillesGilles
535k12810811599
535k12810811599
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
– user7000
Jan 26 '17 at 6:04
1
@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.
– Stéphane Chazelas
Sep 12 '17 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).
– user7000
Sep 12 '17 at 22:33
add a comment |
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
– user7000
Jan 26 '17 at 6:04
1
@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.
– Stéphane Chazelas
Sep 12 '17 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).
– user7000
Sep 12 '17 at 22:33
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
– user7000
Jan 26 '17 at 6:04
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
– user7000
Jan 26 '17 at 6:04
1
1
@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.– Stéphane Chazelas
Sep 12 '17 at 12:07
@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.– Stéphane Chazelas
Sep 12 '17 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).– user7000
Sep 12 '17 at 22:33
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).– user7000
Sep 12 '17 at 22:33
add a comment |
I've found csvfix, a command line tool does the job well. You will need to make it yourself however:
http://neilb.bitbucket.org/csvfix
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.
add a comment |
I've found csvfix, a command line tool does the job well. You will need to make it yourself however:
http://neilb.bitbucket.org/csvfix
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.
add a comment |
I've found csvfix, a command line tool does the job well. You will need to make it yourself however:
http://neilb.bitbucket.org/csvfix
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.
I've found csvfix, a command line tool does the job well. You will need to make it yourself however:
http://neilb.bitbucket.org/csvfix
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.
edited Jun 15 '15 at 15:09
Community♦
1
1
answered Sep 21 '11 at 15:17
Daniel BurkeDaniel Burke
10112
10112
add a comment |
add a comment |
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:
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
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 |
+-------+-------------------------------+-------------+---------+
Installing
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
Querying
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 you 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!
add a comment |
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:
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
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 |
+-------+-------------------------------+-------------+---------+
Installing
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
Querying
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 you 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!
add a comment |
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:
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
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 |
+-------+-------------------------------+-------------+---------+
Installing
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
Querying
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 you 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!
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:
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
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 |
+-------+-------------------------------+-------------+---------+
Installing
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
Querying
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 you 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!
edited Aug 5 '16 at 1:22
answered Aug 5 '16 at 1:16
Álvaro JustenÁlvaro Justen
31635
31635
add a comment |
add a comment |
R is not my favorite programming language, but it is good for things like this.
If your csv file is
***********
foo.csv
***********
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
col1
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"]
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)
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 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. SeeRscript
(part of the base R distribution) or the addon packagelittler
. You can do#!/usr/bin/env Rscript
or similar.
– Faheem Mitha
Apr 7 '11 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 '11 at 1:05
add a comment |
R is not my favorite programming language, but it is good for things like this.
If your csv file is
***********
foo.csv
***********
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
col1
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"]
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)
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 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. SeeRscript
(part of the base R distribution) or the addon packagelittler
. You can do#!/usr/bin/env Rscript
or similar.
– Faheem Mitha
Apr 7 '11 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 '11 at 1:05
add a comment |
R is not my favorite programming language, but it is good for things like this.
If your csv file is
***********
foo.csv
***********
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
col1
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"]
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)
R is not my favorite programming language, but it is good for things like this.
If your csv file is
***********
foo.csv
***********
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
col1
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"]
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)
edited Apr 1 '11 at 21:52
answered Apr 1 '11 at 21:33
Faheem MithaFaheem Mitha
23k1880135
23k1880135
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 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. SeeRscript
(part of the base R distribution) or the addon packagelittler
. You can do#!/usr/bin/env Rscript
or similar.
– Faheem Mitha
Apr 7 '11 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 '11 at 1:05
add a comment |
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 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. SeeRscript
(part of the base R distribution) or the addon packagelittler
. You can do#!/usr/bin/env Rscript
or similar.
– Faheem Mitha
Apr 7 '11 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 '11 at 1:05
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 at 15:03
I'm very familiar with R, but my goal was to have something I could use easily from Bash.
– Steven D
Apr 6 '11 at 15:03
1
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.– Faheem Mitha
Apr 7 '11 at 18:21
@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.– Faheem Mitha
Apr 7 '11 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 '11 at 1:05
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 '11 at 1:05
add a comment |
I used csvtool once and it saved me a lot of time and trouble. Callable from the shell.
http://caml.inria.fr/cgi-bin/hump.en.cgi?contrib=447
add a comment |
I used csvtool once and it saved me a lot of time and trouble. Callable from the shell.
http://caml.inria.fr/cgi-bin/hump.en.cgi?contrib=447
add a comment |
I used csvtool once and it saved me a lot of time and trouble. Callable from the shell.
http://caml.inria.fr/cgi-bin/hump.en.cgi?contrib=447
I used csvtool once and it saved me a lot of time and trouble. Callable from the shell.
http://caml.inria.fr/cgi-bin/hump.en.cgi?contrib=447
answered Sep 21 '11 at 20:27
natnat
6111
6111
add a comment |
add a comment |
Or, you could try some awk magic.
Howewer, I'm not a good awk user and cannot confirm this would work properly, and how to do it.
9
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
add a comment |
Or, you could try some awk magic.
Howewer, I'm not a good awk user and cannot confirm this would work properly, and how to do it.
9
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
add a comment |
Or, you could try some awk magic.
Howewer, I'm not a good awk user and cannot confirm this would work properly, and how to do it.
Or, you could try some awk magic.
Howewer, I'm not a good awk user and cannot confirm this would work properly, and how to do it.
answered Feb 15 '11 at 12:30
rvsrvs
1,3411012
1,3411012
9
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
add a comment |
9
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
9
9
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
Here is one awk CSV Parser I used a while back.. It seems quite well thought out... lorance.freeshell.org/csv
– Peter.O
Feb 15 '11 at 14:11
add a comment |
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/)
add a comment |
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/)
add a comment |
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/)
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/)
answered Nov 21 '11 at 15:42
imz -- Ivan Zakharyaschevimz -- Ivan Zakharyaschev
6,48894293
6,48894293
add a comment |
add a comment |
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,thirdn1,2,3n' |
mlr --csv --implicit-csv-header --headerless-csv-output cut -f 1
Miller is very impressive. I'd compare it toawk
, but highly DSV-aware.
– Derek Mahar
Apr 18 '18 at 21:59
add a comment |
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,thirdn1,2,3n' |
mlr --csv --implicit-csv-header --headerless-csv-output cut -f 1
Miller is very impressive. I'd compare it toawk
, but highly DSV-aware.
– Derek Mahar
Apr 18 '18 at 21:59
add a comment |
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,thirdn1,2,3n' |
mlr --csv --implicit-csv-header --headerless-csv-output cut -f 1
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,thirdn1,2,3n' |
mlr --csv --implicit-csv-header --headerless-csv-output cut -f 1
edited Sep 12 '17 at 11:58
Stéphane Chazelas
304k57573927
304k57573927
answered Sep 12 '17 at 11:33
Stephen KittStephen Kitt
170k24385462
170k24385462
Miller is very impressive. I'd compare it toawk
, but highly DSV-aware.
– Derek Mahar
Apr 18 '18 at 21:59
add a comment |
Miller is very impressive. I'd compare it toawk
, but highly DSV-aware.
– Derek Mahar
Apr 18 '18 at 21:59
Miller is very impressive. I'd compare it to
awk
, but highly DSV-aware.– Derek Mahar
Apr 18 '18 at 21:59
Miller is very impressive. I'd compare it to
awk
, but highly DSV-aware.– Derek Mahar
Apr 18 '18 at 21:59
add a comment |
To use python from the command line, you can check out pythonpy (https://github.com/Russell91/pythonpy):
$ echo $'a,b,cnd,e,f' | py '[x[1] for x in csv.reader(sys.stdin)']
b
e
add a comment |
To use python from the command line, you can check out pythonpy (https://github.com/Russell91/pythonpy):
$ echo $'a,b,cnd,e,f' | py '[x[1] for x in csv.reader(sys.stdin)']
b
e
add a comment |
To use python from the command line, you can check out pythonpy (https://github.com/Russell91/pythonpy):
$ echo $'a,b,cnd,e,f' | py '[x[1] for x in csv.reader(sys.stdin)']
b
e
To use python from the command line, you can check out pythonpy (https://github.com/Russell91/pythonpy):
$ echo $'a,b,cnd,e,f' | py '[x[1] for x in csv.reader(sys.stdin)']
b
e
answered Sep 27 '14 at 4:37
RussellStewartRussellStewart
1,13175
1,13175
add a comment |
add a comment |
try "csvtool" this package
it's handy command line tool for handling CSV files
1
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
add a comment |
try "csvtool" this package
it's handy command line tool for handling CSV files
1
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
add a comment |
try "csvtool" this package
it's handy command line tool for handling CSV files
try "csvtool" this package
it's handy command line tool for handling CSV files
answered Sep 3 '15 at 6:53
dominicdominic
211
211
1
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
add a comment |
1
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
1
1
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
Already mentioned, with more detail...
– jasonwryan
Sep 3 '15 at 9:27
add a comment |
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"
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2
this is the second
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2-
this is the second, 34.5
add a comment |
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"
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2
this is the second
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2-
this is the second, 34.5
add a comment |
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"
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2
this is the second
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2-
this is the second, 34.5
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"
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2
this is the second
or
echo '"this, is the first entry", this is the second, 34.5' | cissy -c 2-
this is the second, 34.5
edited Sep 23 '15 at 3:27
slass100
1032
1032
answered Sep 18 '15 at 13:22
slass100slass100
211
211
add a comment |
add a comment |
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.)
– Gilles
Apr 20 '11 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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
add a comment |
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.)
– Gilles
Apr 20 '11 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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
add a comment |
There is also a Curry library for reading/writing files in CSV format: CSV.
There is also a Curry library for reading/writing files in CSV format: CSV.
answered Apr 20 '11 at 21:26
imz -- Ivan Zakharyaschevimz -- Ivan Zakharyaschev
6,48894293
6,48894293
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.)
– Gilles
Apr 20 '11 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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
add a comment |
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.)
– Gilles
Apr 20 '11 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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
2
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.)
– Gilles
Apr 20 '11 at 21:31
Would you mind posting some sample code, like the Perl, Python and R answers? (Especially since Curry is not a common unix scripting language.)
– Gilles
Apr 20 '11 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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
@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.
– imz -- Ivan Zakharyaschev
Apr 20 '11 at 21:36
add a comment |
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.
add a comment |
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.
add a comment |
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.
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.
answered Sep 12 '17 at 12:12
JonDegJonDeg
714
714
add a comment |
add a comment |
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
add a comment |
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
add a comment |
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
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
answered Aug 12 '14 at 5:23
SriniSrini
1613
1613
add a comment |
add a comment |
I'd recommend xsv - A fast CSV command line toolkit written in Rust (Github).
Written by Ripgrep's author.
Featured in How we made our CSV processing 142x faster (Reddit thread).
add a comment |
I'd recommend xsv - A fast CSV command line toolkit written in Rust (Github).
Written by Ripgrep's author.
Featured in How we made our CSV processing 142x faster (Reddit thread).
add a comment |
I'd recommend xsv - A fast CSV command line toolkit written in Rust (Github).
Written by Ripgrep's author.
Featured in How we made our CSV processing 142x faster (Reddit thread).
I'd recommend xsv - A fast CSV command line toolkit written in Rust (Github).
Written by Ripgrep's author.
Featured in How we made our CSV processing 142x faster (Reddit thread).
answered Aug 5 '18 at 19:24
Nicolas GirardNicolas Girard
1
1
add a comment |
add a comment |
One of the best tool is Miller (http://johnkerl.org/miller/doc/index.html). 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"
add a comment |
One of the best tool is Miller (http://johnkerl.org/miller/doc/index.html). 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"
add a comment |
One of the best tool is Miller (http://johnkerl.org/miller/doc/index.html). 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"
One of the best tool is Miller (http://johnkerl.org/miller/doc/index.html). 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"
edited Jan 20 at 8:47
answered Jan 19 at 7:43
aborrusoaborruso
21829
21829
add a comment |
add a comment |
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