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Fill an input ndarray with a specified value.

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stdlib-js/ndarray-base-fill

About stdlib...

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fill

NPM versionBuild StatusCoverage Status

Fill an input ndarray with a specified value.

Installation

npm install @stdlib/ndarray-base-fill

Alternatively,

  • To load the package in a website via ascript tag without installation and bundlers, use theES Module available on theesm branch (seeREADME).
  • If you are using Deno, visit thedeno branch (seeREADME for usage intructions).
  • For use in Observable, or in browser/node environments, use theUniversal Module Definition (UMD) build available on theumd branch (seeREADME).

Thebranches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

varfill=require('@stdlib/ndarray-base-fill');

fill( x, value )

Fills an input ndarray with a specified value.

varFloat64Array=require('@stdlib/array-float64');// Create a data buffer:varxbuf=newFloat64Array([1.0,2.0,3.0,4.0,5.0,6.0]);// Define the shape of the input array:varshape=[3,1,2];// Define the array strides:varsx=[2,2,1];// Define the index offset:varox=0;// Create the input ndarray-like object:varx={'dtype':'float64','data':xbuf,'shape':shape,'strides':sx,'offset':ox,'order':'row-major'};fill(x,10.0);console.log(x.data);// => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ]

The function accepts the following arguments:

  • x: array-like object containing an input ndarray.
  • value: scalar value.

A 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).

Notes

  • Ifvalue is a number andx has a complexdata type, the function fills an input ndarray with a complex number whose real component equals the provided scalarvalue and whose imaginary component is zero.
  • Avalue must be able to safely cast to the input ndarraydata type. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a'float32' input ndarray).
  • The functionmutates the input ndarray.

Examples

vardiscreteUniform=require('@stdlib/random-base-discrete-uniform').factory;varfilledarrayBy=require('@stdlib/array-filled-by');varndarray2array=require('@stdlib/ndarray-base-to-array');varfill=require('@stdlib/ndarray-base-fill');varx={'dtype':'generic','data':filledarrayBy(10,'generic',discreteUniform(-100,100)),'shape':[5,2],'strides':[2,1],'offset':0,'order':'row-major'};fill(x,10.0);console.log(ndarray2array(x.data,x.shape,x.strides,x.offset,x.order));

Notice

This package is part ofstdlib, a standard library for JavaScript and Node.js, 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.

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