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release](https://img.shields.io/github/release/petoem/taira.svg?style=flat-square)](https://github.com/petoem/taira/releases)\n[![CI](https://github.com/petoem/taira/workflows/CI/badge.svg?branch=master)](https://github.com/petoem/taira/actions)\n[![Standard - JavaScript Style Guide](https://img.shields.io/badge/code_style-standard-brightgreen.svg?style=flat-square)](https://standardjs.com)\n[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square)](https://github.com/petoem/taira/blob/master/LICENSE)  \n\n[![NPM](https://nodei.co/npm/taira.png?downloads=true)](https://www.npmjs.com/package/taira)\n\n## About\nTaira enables smoothing of arrays that contain numerical values, using average (mean), median and gaussian filter.\n\n## Usage\n``` javascript\nconst Taira = require('taira')\n\nlet arr = [1, 2, 10, 4, 5, 6]\n\n/**\n* Static smooth function\n* @param {*} array The input data array\n* @param {Taira.ALGORITHMS} algorithm The algorithm to use \n* @param {integer} size How many elements before and after (e.g. size=2, means a kernel of 2*size+1)\n* @param {integer} pass How often to go over the array\n* @param {boolean} circular Joins beginning and end of array, to make the array circular\n* @returns {Taira} The smooth array\n*/\nlet foo = Taira.smoothen(arr, Taira.ALGORITHMS.AVERAGE, 1, 1, false)\nconsole.log(foo) // [ 1, 4.333333333333333, 5.333333333333333, 6.333333333333333, 5, 6 ]\n\n// ... and the same for median filtering\nfoo = Taira.smoothen(arr, Taira.ALGORITHMS.MEDIAN, 2, 1, false)\nconsole.log(`${arr} =\u003e ${foo}`) // [1, 2, 10, 4, 5, 6] =\u003e [ 1, 2, 4, 5, 5, 6 ]\n\n/*\n* ... and gaussian smoothing.\n* First integer is the size of the kernel that will be filled with values from a Gaussian distribution.\n* Last parameter is the intensity (sigma) of the distribution.\n*/\nfoo = Taira.smoothen(arr, Taira.ALGORITHMS.GAUSSIAN, 2, 0.65, false)\nconsole.log(`${arr} =\u003e ${foo}`) // [ 1, 2, 10, 4, 5, 6 ] =\u003e [ 1, 2, 7.294375204741146, 5.315049255808814, 5, 6 ]\n```\n\n## Extras\n\nTaira inherits from Array, so you can use it like a normal array.\n``` javascript\nconst Taira = require('taira')\n\nlet foo = new Taira(1, 2, 3, 4, 5, 6)\nlet bar = foo.smoothen(Taira.ALGORITHMS.GAUSSIAN, 2, 1.2)\nfoo.push(10) // ... lets add some more data and recalculate.\nbar = foo.smoothen(Taira.ALGORITHMS.GAUSSIAN, 2, 1.2)\n\n// ... or you could do something like this.\nlet smoothsum = Taira.from([10, 20, 10, 15, 20, 15])\n.smoothen(Taira.ALGORITHMS.GAUSSIAN, 2, 0.3)\n.reduce((acc, val) =\u003e acc + val)\nconsole.log(smoothsum) // 90.05754388528676\n```\n\n## Contributing\nIf you wish to contribute to the code or documentation, feel free to fork the repository and submit a pull request.\n\n## License\nMIT © [Michael Petö](https://github.com/petoem)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpetoem%2Ftaira","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpetoem%2Ftaira","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpetoem%2Ftaira/lists"}