Filterx
process any file in tabular format. Fasta/fastq/GTF/GFF/VCF/SAM/BED
Install / Use
/learn @dwpeng/FilterxREADME
filterx
<p align="center"> <img src="./docs/docs/public/filterx-icon.png" width="100" height="100" alt="filterx logo"> </p> <p align="center"> </p>A fast command-line tool to filter lines by column-based expression.
Features
- 🚀 Filter lines by column-based expression
- 🎨 Support multiple input formats e.g. vcf/sam/fasta/fastq/gff/bed/csv/tsv
- 🎉 Cross-platform support
- 📦 Easy to install
- 📚 Rich documentations
Installation
Using pip or cargo to install filterx:
pip install filterx
cargo install filterx
Download the latest release from releases.
Quick Start
<details> <summary>example.csv</summary>id,name,city,phone,gender
1,Alice,New York,123456,F
2,Bob,Los Angeles,234567,M
3,Charlie,Chicago,345678,M
4,David,Houston,456789,M
5,Eve,Phoenix,567890,F
6,Frank,Philadelphia,678901,M
7,Grace,San Antonio,789012,F
8,Heidi,San Diego,890123,F
9,Ivan,Dallas,901234,M
10,Judy,San Jose,012345,F
11,Kevin,New York,123456,M
12,Linda,Los Angeles,234567,F
13,Michael,Chicago,345678,M
14,Nancy,Houston,456789,F
15,Oliver,Phoenix,567890,M
</details>
filterx c example.csv -e "city in ('New York', 'Los Angeles')" -e "gender == 'F'" -e "select(name, id)"
Output:
name,id
Alice,1
Linda,12
Documentation
filterx has a built-in help system, you can use filterx info --list to list all available built-in functions, and use filterx info <command> to get help for a specific function.
