https://github.com/hrishibawane/npjs-basic

A numpy-like npm package for mathematical array functions and manipulations for js
https://github.com/hrishibawane/npjs-basic

array-manipulations npm-package numpy

Last synced: about 1 month ago
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A numpy-like npm package for mathematical array functions and manipulations for js

• Host: GitHub
• URL: https://github.com/hrishibawane/npjs-basic
• Owner: hrishibawane
• License: mit
• Created: 2020-04-30T16:08:20.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-30T20:18:30.000Z (almost 2 years ago)
• Last Synced: 2024-10-04T00:53:51.407Z (about 1 month ago)
• Topics: array-manipulations, npm-package, numpy
• Language: JavaScript
• Homepage:
• Size: 110 KB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# npjs-basic

[![npm](https://img.shields.io/npm/v/npjs-basic)](https://www.npmjs.com/package/npjs-basic)

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A numpy-like package for mathematical array functions and manipulations

## Introduction

npjs is a lightweight JavaScript library providing a subset of Python's numpy package. This package is written in pure Javascript and requires no dependencies. This package also includes some extra functions ("min_max_normalize" as of now).

## Usage

```js

const np = require('npjs-basic');

let arr = [[1, 2, 3], [4, 5, 6]];

np.shape(arr, (err, res) => {

    if (err) return console.error(err);

    console.log(res);

    // res = [2, 3]

});

let flatArr = np.flatten(arr);

// flatArr = [1, 2, 3, 4, 5, 6]

```

## Functions

- ```add(listA, listB, callback)``` - returns array of sums of corresponding elements of listA and listB of any dimensions.

- ```arange(start, stop, step)``` - returns evenly spaced values within the half-open interval ```[start, stop)``` with optional step argument.

- ```dot(listA, listB, callbacks)``` - returns dot product of listA and listB.

- ```flatten(list)``` - returns 1-D representation of any shape and any levels of nesting of list array.

- ```full(shape_array, val)``` - returns array of shape as specified in shape_array with values = val.

- ```linspace(start, end, num)``` - returns array of numbers in range [start, end] with length = num. Default num=50 unless specified.

- ```mean(list)``` - returns mean of list elements.

- ```min_max_normalize(list, callback)``` - returns array after applying Min-Max Normalization on list elements.

- ```norm(list)``` - returns norm as in linear algebra for list elements.

- ```shape(list, callback)``` - returns dimensions of input array if the array is uniform or error otherwise.

- ```subtract(listA, listB, callback)``` - returns array of differences of corresponding elements of listA and listB of any dimensions.

## Contribution

Happy to recieve or provide contributions related to this package. Feel free to raise an issue if you find one. [Github Link](https://github.com/hrishibawane/npjs)