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download][download-image]][download-url]\n[![DOI](https://www.zenodo.org/badge/35540080.svg)](https://www.zenodo.org/badge/latestdoi/35540080)\n\n</h3>\n\n## Installation\n\n`$ npm install --save xy-parser`\n\n## Usage\n\n```js\nimport { parseXY } from 'xy-parser';\nconst data = `My file\n1   2\n3   4\n5   6\n7   8`;\nconst result = parseXY(data);\n/* result ->\n    {\n      x: [1, 3, 5, 7],\n      y: [2, 4, 6, 8]\n    }\n  }\n*/\n\nconst result2 = parseXYAndKeppInfo(data);\n/* result2 ->\n    data: {\n      x: [1, 3, 5, 7],\n      y: [2, 4, 6, 8]\n    },\n    info: [\n      'My file'\n    ]\n  }\n*/\n```\n\nThe `bestGuess` option will try to determine which columns should be used.\n\nIf there are 3 columns and the first column is a sequential number starting at '1' it looks\nlike this is a line number, we will ignore it.\n\nIf there are many columns maybe we have a format like X1, Y1, X2, Y2, ... in this cases if one\ncolumn on two is a monotone series we will parse it correctly.\n\n## [API Documentation](https://cheminfo.github.io/xy-parser/)\n\n## License\n\n[MIT](./LICENSE)\n\n[npm-image]: https://img.shields.io/npm/v/xy-parser.svg?style=flat-square\n[npm-url]: https://www.npmjs.com/package/xy-parser\n[codecov-image]: https://img.shields.io/codecov/c/github/cheminfo/xy-parser.svg?style=flat-square\n[codecov-url]: https://codecov.io/gh/cheminfo/xy-parser\n[download-image]: https://img.shields.io/npm/dm/xy-parser.svg?style=flat-square\n[download-url]: https://www.npmjs.com/package/xy-parser\n","readmeFilename":"README.md"}