Parse text columns, like the output of Unix commands
npm install parse-columns$ df -kP Filesystem 1024-blocks Used Available Capacity Mounted on /dev/disk1 487350400 467871060 19223340 97% / devfs 185 185 0 100% /dev map -hosts 0 0 0 100% /net import {promisify} from 'node:util'; import childProcess from 'node:child_process'; import parseColumns from 'parse-columns'; const execFileP = promisify(childProcess.execFile); const {stdout} = await execFileP('df', ['-kP']); console.log(parseColumns(stdout, { transform: (item, header, columnIndex) => { // Coerce elements in column index 1 to 3 to a number if (columnIndex >= 1 && columnIndex <= 3) { return Number(item); } return item; } })); /* [ { Filesystem: '/dev/disk1', '1024-blocks': 487350400, Used: 467528020, Available: 19566380, Capacity: '96%', 'Mounted on': '/' }, … ] */Type: string
The text columns to parse.
Type: object
Type: string | RegExp Default: ' '
Separator to split columns on.
string: Single character separator (default behavior)RegExp: Regular expression pattern for flexible matching
// Default space separator parseColumns(data); // Tab separator parseColumns(data, {separator: '\t'}); // Any whitespace (spaces, tabs, etc.) parseColumns(data, {separator: /\s+/}); // Either spaces or tabs parseColumns(data, {separator: /[ \t]/});Type: string[]
Headers to use instead of the existing ones.
Type: Function
Transform elements.
Useful for being able to cleanup or change the type of elements.
The supplied function gets the following arguments and is expected to return the element:
element(string)header(string)columnIndex(number)rowIndex(number)
- parse-columns-cli - CLI for this module
