Include npy.js in your project directly, or:
yarn add npyjs
# npm i npyjs
import npyjs from "npyjs";
- Create a new npyjs object.
let n = new npyjs();
- This object can now be used load .npy files. Arrays can be returned via a JavaScript callback, so usage looks like this:
n.load("my-array.npy", (array, shape) => {
// `array` is a one-dimensional array of the raw data
// `shape` is a one-dimensional array that holds a numpy-style shape.
console.log(
`You loaded an array with ${array.length} elements and ${shape.length} dimensions.`
);
});
- You can also use this library promise-style using either .then or async await:
n.load("test.npy").then((res) => {
// res has { data, shape, dtype } members.
});
const npyArray = await n.load("test.npy");
- You can conveniently access multidimensional array elements using the 'ndarray' library:
import ndarray from "ndarray";
const npyArray = ndarray(data, shape);
npyArray.get(10, 15)
Unless otherwise specified, all code inside of this repository is covered under the license in LICENSE.
Please report bugs or contribute pull-requests on GitHub.