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Apply a callback to elements in an input ndarray and assign results to elements in an output ndarray.
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stdlib-js/ndarray-base-map
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Apply a callback function to elements in an input ndarray and assign results to elements in an output ndarray.
importmapfrom'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-map@deno/mod.js';
Applies a callback function to elements in an input ndarray and assigns results to elements in an output ndarray.
importFloat64Arrayfrom'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';functionscale(x){returnx*10.0;}// Create data buffers:varxbuf=newFloat64Array([1.0,2.0,3.0,4.0,5.0,6.0]);varybuf=newFloat64Array(6);// Define the shape of the input and output arrays:varshape=[3,2];// Define the array strides:varsx=[2,1];varsy=[2,1];// Define the index offsets:varox=0;varoy=0;// Create the input and output ndarray-like objects:varx={'dtype':'float64','data':xbuf,'shape':shape,'strides':sx,'offset':ox,'order':'row-major'};vary={'dtype':'float64','data':ybuf,'shape':shape,'strides':sy,'offset':oy,'order':'row-major'};// Apply function:map([x,y],scale);console.log(y.data);// => <Float64Array>[ 10.0, 20.0, 30.0, 40.0, 50.0, 60.0 ]
The function accepts the following arguments:
- arrays: array-like object containing one input ndarray and one output ndarray.
- fcn: callback to apply.
- thisArg: callback execution context.
The callback function is provided the following arguments:
- value: current array element.
- indices: current array element indices.
- arr: the input ndarray.
Each provided ndarray should be an object with the following properties:
- dtype: data type.
- data: data buffer.
- shape: dimensions.
- strides: stride lengths.
- offset: index offset.
- order: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before applying a callback function in order to achieve better performance.
importdiscreteUniformfrom'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@deno/mod.js';importzerosfrom'https://cdn.jsdelivr.net/gh/stdlib-js/array-zeros@deno/mod.js';importabsfrom'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-abs@deno/mod.js';importshape2stridesfrom'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-shape2strides@deno/mod.js';importndarray2arrayfrom'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-to-array@deno/mod.js';importnaryFunctionfrom'https://cdn.jsdelivr.net/gh/stdlib-js/utils-nary-function@deno/mod.js';importmapfrom'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-map@deno/mod.js';varN=10;varx={'dtype':'generic','data':discreteUniform(N,-100,100,{'dtype':'generic'}),'shape':[5,2],'strides':[2,1],'offset':0,'order':'row-major'};vary={'dtype':'generic','data':zeros(N,'generic'),'shape':x.shape.slice(),'strides':shape2strides(x.shape,'column-major'),'offset':0,'order':'column-major'};map([x,y],naryFunction(abs,1));console.log(ndarray2array(x.data,x.shape,x.strides,x.offset,x.order));console.log(ndarray2array(y.data,y.shape,y.strides,y.offset,y.order));
This package is part ofstdlib, a standard library with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to developstdlib, see the main projectrepository.
SeeLICENSE.
Copyright © 2016-2025. The StdlibAuthors.
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