csv-helpers v0.0.2

Intro

This is a little helper library to complement @jrc03c/js-math-tools and @jrc03c/js-data-science-helpers. All it does is load CSV files as DataFrame objects and save DataFrame objects as CSV files.

Installation

npm install --save https://github.com/jrc03c/js-csv-helpers

Usage

Node & bundlers:

const { loadCSV, saveCSV } = require("js-csv-helpers")

// load
loadCSV("path/to/my-data.csv").then(df => {
  // save
  saveCSV("path/to/other-data.csv", df).then(() => {
    console.log("Done!")
  })
})

Browser:

<script src="path/to/dist/js-csv-helpers"></script>
<script>
  // load
  loadCSV("path/to/my-data.csv").then(df => {
    // save
    saveCSV("other-data.csv", df).then(() => {
      console.log("Done!")
    })
  })
</script>

NOTE: Usage in both environments is basically identical except for one thing: In the browser, saveCSV takes a filename and a DataFrame; but in Node, saveCSV takes a path and a DataFrame. That's because the browser can only download files without specifying where to save them.

API

loadCSV

loadCSV(
  path: string,
  config: object || null,
  callback: function || null,
)

Given a path, this function returns a Promise that resolves to a DataFrame. It also accepts a optional callback function, if you prefer that style. See the section below for more information about the optional config object.

saveCSV

saveCSV(
  path: string,
  data: DataFrame,
  config: object || null,
  callback: function || null,
)

Given a path (either a URL or a filesystem path depending whether you're in a browser or Node environment, as described in the Usage section above) and a DataFrame (data), this function returns a Promise that resolves to true. (If something goes wrong during saving, an error will just be thrown instead of returning false.) It also accepts an optional callback function, if you prefer that style. See the section below for more information about the optional config object.

Configuration

This library is basically a thin wrapper around papaparse. Any configuration object you could pass into this library's functions will be passed directly into papaparse's functions. See their configuration documentation for more info. As of today, the default configuration values are:

{
  delimiter: "", // auto-detect
  newline: "",   // auto-detect
  quoteChar: '"',
  escapeChar: '"',
  header: false,
  transformHeader: undefined,
  dynamicTyping: false,
  preview: 0,
  encoding: "",
  worker: false,
  comments: false,
  step: undefined,
  complete: undefined,
  error: undefined,
  download: false,
  downloadRequestHeaders: undefined,
  downloadRequestBody: undefined,
  skipEmptyLines: false,
  chunk: undefined,
  chunkSize: undefined,
  fastMode: undefined,
  beforeFirstChunk: undefined,
  withCredentials: undefined,
  transform: undefined,
  delimitersToGuess: [',', '\t', '|', ';', Papa.RECORD_SEP, Papa.UNIT_SEP]
}

This library only adds one extra option to the configuration object in the loadCSV function: setting "inferTypes" to true or false enables or disables dynamic type inference. By default, papaparse doesn't try to figure out what kinds of data your CSV file contains; it merely returns a matrix of strings. They provide an option called "dynamicTyping" which I think asks papaparse to try to infer data types, but I don't think it's quite as extensive as the one I've written here.

Here's an example of how to use it:

// use this library's type inference
loadCSV("path/to/my-data.csv", { inferTypes: true })

// use papaparse's type inference
loadCSV("path/to/my-data.csv", { dynamicTyping: true })