filterx

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process any file in tabular format. Fasta/fastq/GTF/GFF/VCF/SAM/BED

filterx 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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## filterx

[![pypi](https://github.com/dwpeng/filterx/actions/workflows/release-pypi.yml/badge.svg)](https://github.com/dwpeng/filterx/actions/workflows/release-pypi.yml) [![Github Release](https://github.com/dwpeng/filterx/actions/workflows/release.yml/badge.svg)](https://github.com/dwpeng/filterx/actions/workflows/release.yml)  ![PyPI Downloads](https://static.pepy.tech/badge/filterx)

</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`:

```bash
pip install filterx
```

```bash
cargo install filterx
```

Download the latest release from [releases](https://github.com/dwpeng/filterx/releases).

## Quick Start

<details>
<summary>example.csv</summary>

```csv
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>

```bash
filterx c example.csv -e "city in ('New York', 'Los Angeles')" -e "gender == 'F'" -e "select(name, id)"
```

Output:

```csv
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.

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=dwpeng/filterx&type=Date)](https://star-history.com/#dwpeng/filterx&Date)

filterx

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