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Why is this?\n\nSometimes I want to write a one-off Node.js script that does something with a CSV file (e.g. reformat a data file for human readability) and I wish I could just do `require('data.csv')` like I would with a JSON file. This is basically just two lines of code, using `fs` and [`d3-dsv`](https://github.com/d3/d3-dsv) that does this for me, because I never remember how to read and parse files properly. 🤭\n\nThis is all synchronous and in many cases you'll want to do some more nuanced parsing, but if you want to do a little thing in a hot sec, 🤷‍♀️.\n\n## Installation\n\n`npm install csvin`, or similar. Intended to be used in Node.js and imported with `require`.\n\n## Lil' example\n\n### data.csv\n```\nanimal,count\ncat,3\nbird,8\n```\n\n### index.js\n```\nconst csvin = require('csvin');\n\nconst data = csvin('data.csv');\n// [\n//   { animal: 'cat', count: '3' },\n//   { animal: 'bird', count: '8' },\n//   columns: [ 'animal', 'count' ]\n// ]\n\ndata.forEach((row) =\u003e {\n  console.log(`There are ${row.count} ${row.animal}s.`);\n});\n// Prints:\n// There are 3 cats.\n// There are 8 birds.\n\n// If you must do some parsing ...\nconst betterData = csvin('data.csv', (row) =\u003e {\n  return { species: row.animal.toUpperCase(), multitude: +row.count };\n});\n// [\n//   { species: 'CAT', multitude: 3 },\n//   { species: 'BIRD', multitude: 8 },\n//   columns: [ 'animal', 'count' ] // The original column names\n// ]\n```\n\n## API Reference\n\n### csvin(*csvPath*[, *rowParser*])\n\nGiven the path to a CSV file, `csvPath`, synchronously read it and return an array of objects whose keys are the column headers and values are row values of the CSV file (as strings). The array also has a `columns` attribute, which is the array of column headers in the order they appear in the CSV file.\n\nThis assumes your file is UTF-8 encoded and has a header row.\n\nYou can optionally provide a `rowParser`, which should be a function applied to each row (in the format described above), which maps it to a new value. (If it returns `null` or `undefined`, that row is omitted from the output.)\n\nFor more details, see the API of the [`dsv.parse` method of `d3-dsv`](https://github.com/d3/d3-dsv#dsv_parse), because this is basically just that, except we're reading in a file as well to make life easy for lazy people like me. 😎 😕\n\n## 🎉\n\nFeel free to submit [issues](https://github.com/alecglassford/csvin/issues) or [pull requests](https://github.com/alecglassford/csvin/pulls) with whatever feedback you may have! It's not supposed to be so much of a thing, though, you know. It may be just as fruitful and pleasing to gaze at a tree or a bird. 🌳\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falecglassford%2Fcsvin","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falecglassford%2Fcsvin","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falecglassford%2Fcsvin/lists"}