csvkit |release|
About
First time? See :doc:`tutorial`.
Note
If you need to do more complex data analysis than csvkit can handle, use agate.
Note
To change the field separator, line terminator, etc. of the output, you must use :doc:`/scripts/csvformat`.
Note
csvkit, by default, sniffs CSV formats (it deduces whether commas, tabs or spaces delimit fields, for example), and performs type inference (it converts text to numbers, dates, booleans, etc.). These features are useful and work well in most cases, but occasional errors occur. If you don't need these features, set --snifflimit 0 (-y 0) and --no-inference (-I).
Note
If you need csvkit to be faster or to handle larger files, you may be reaching the limits of csvkit.
Why csvkit?
Because it makes your life easier.
Convert Excel to CSV:
in2csv data.xls > data.csv
Convert JSON to CSV:
in2csv data.json > data.csv
Print column names:
csvcut -n data.csv
Select a subset of columns:
csvcut -c column_a,column_c data.csv > new.csv
Reorder columns:
csvcut -c column_c,column_a data.csv > new.csv
Find rows with matching cells:
csvgrep -c phone_number -r "555-555-\d{4}" data.csv > new.csv
Convert to JSON:
csvjson data.csv > data.json
Generate summary statistics:
csvstat data.csv
Query with SQL:
csvsql --query "select name from data where age > 30" data.csv > new.csv
Import into PostgreSQL:
csvsql --db postgresql:///database --insert data.csv
Extract data from PostgreSQL:
sql2csv --db postgresql:///database --query "select * from data" > new.csv
And much more...
Table of contents
.. toctree::
:maxdepth: 3
tutorial
cli
tricks
contributing
release
license
changelog
Citation
When citing csvkit in publications, you may use this BibTeX entry:
@Manual{,
title = {csvkit},
author = {Christopher Groskopf and contributors},
year = 2016,
url = {https://csvkit.readthedocs.org/}
}