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ndarray

Multidimensional Arrays

  • 1.0.19
  • latest
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  • npm
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368K
decreased by-11.33%
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What is ndarray?

The ndarray npm package is a multidimensional array library for JavaScript. It provides efficient storage and manipulation of large datasets, similar to NumPy arrays in Python. It is particularly useful for scientific computing, image processing, and other applications that require handling of large, multi-dimensional datasets.

What are ndarray's main functionalities?

Creating an ndarray

This feature allows you to create a new ndarray. The first argument is the data, and the second argument is the shape of the array. In this example, a 2x2 array is created.

const ndarray = require('ndarray');
const array = ndarray([1, 2, 3, 4], [2, 2]);
console.log(array);

Accessing elements

This feature allows you to access elements in the ndarray using the `get` method. The indices are provided as arguments to the method.

const ndarray = require('ndarray');
const array = ndarray([1, 2, 3, 4], [2, 2]);
console.log(array.get(0, 1)); // Output: 2

Setting elements

This feature allows you to set elements in the ndarray using the `set` method. The indices and the new value are provided as arguments to the method.

const ndarray = require('ndarray');
const array = ndarray([1, 2, 3, 4], [2, 2]);
array.set(0, 1, 5);
console.log(array.get(0, 1)); // Output: 5

Slicing

This feature allows you to create a sub-array or slice of the original ndarray using the `hi` method. The arguments specify the end indices for each dimension.

const ndarray = require('ndarray');
const array = ndarray([1, 2, 3, 4, 5, 6], [2, 3]);
const slice = array.hi(1, 2);
console.log(slice);

Transpose

This feature allows you to transpose the ndarray, swapping its dimensions. The arguments specify the new order of the dimensions.

const ndarray = require('ndarray');
const array = ndarray([1, 2, 3, 4], [2, 2]);
const transposed = array.transpose(1, 0);
console.log(transposed);

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Package last updated on 05 Jan 2020

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