Note: the core of
tabular-stream1.0 has moved todetect-tabular. This is now a data normalizer on top of that.
Detects tabular data (spreadsheets, dsv or json, 20+ different formats) and emits objects. Ensures all rows have the same keys, optionally transforms keys and tries to coerce values to numbers. Spreadsheets and DSV must have a header.
npm i tabular-stream snake-case format-data
const tabular = require('tabular-stream')
const fs = require('fs')
const snake = require('snake-case').snakeCase
const format = require('format-data')
fs.createReadStream('test/air_pollution_nl.xlsx')
.pipe(tabular(snake))
.pipe(format('json'))
.pipe(process.stdout)Need a CLI doing just this? Jump to tabular-cli, which pairs tabular-stream with format-data to convert tabular data to json, ndjson, dsv or sse. For example:
tabular -k snake-case -o tsv < input.xls > output.tsv
Returns a duplex stream - give it any tabular data, get back objects. (keys) is a shorthand for ({ keys: keys }). The available options are:
An optional function to transform and/or filter keys. Receives a single argument, for every key of the first row. Everything at change-case works well. If it returns an empty string or anything other than a string, the key is ignored (i.e. not included in the emitted objects).
function keys(key) {
if (key === 'useless') return false
return key.toUpperCase()
}Fallback value to use for null and undefined values. Default is 0.
Whether to emit null prototype objects via Object.create(null) or plain javascript objects (the default).
Other options are passed as-is to spreadsheet-stream (if applicable). NB. Because the binary spreadsheets formats are not streamable, spreadsheet-stream will buffer the whole thing in memory. As a safe-guard you can set the maxSize option (in bytes): tabular({ maxSize: 1024 * 1024 }). See spreadsheet-stream for details.
With npm do:
npm install tabular-stream
MIT.
Test data © Statistics Netherlands, The Hague/Heerlen.