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Copy an input ndarray to a new ndarray having the same shape and data type.
npm install @stdlib/ndarray-copyAlternatively,
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varcopy=require('@stdlib/ndarray-copy');Copies an input ndarray to a new ndarray having the same shape and data type.
vargetShape=require('@stdlib/ndarray-shape');varzeros=require('@stdlib/ndarray-zeros');varx=zeros([2,2]);// returns <ndarray>vary=copy(x);// returns <ndarray>varsh=getShape(y);// returns [ 2, 2 ]The function supports the following options:
- dtype: output ndarraydata type. Overrides the input ndarray's inferred data type.
- order: specifies whether the output ndarray should be
'row-major'(C-style) or'column-major'(Fortran-style). Overrides the input ndarray's inferred order. - mode: specifies how to handle indices which exceed array dimensions (see
ndarray). Default:'throw'. - submode: a mode array which specifies for each dimension how to handle subscripts which exceed array dimensions (see
ndarray). If provided fewer modes than dimensions, the constructor recycles modes using modulo arithmetic. Default:[ options.mode ].
To override either the dtype or order, specify the corresponding option. For example, to override the inferred data type,
vargetShape=require('@stdlib/ndarray-shape');vargetDtype=require('@stdlib/ndarray-dtype');varzeros=require('@stdlib/ndarray-zeros');varx=zeros([2,2]);// returns <ndarray>vardt=String(getDtype(x));// returns 'float64'vary=copy(x,{'dtype': 'float32'});// returns <ndarray>varsh=getShape(y);// returns [ 2, 2 ]dt=String(getDtype(y));// returns 'float32'- The function performs a full copy in which an ndarray's underlying data is copied to a new underlying data buffer.
varuniform=require('@stdlib/random-uniform');varndarray2array=require('@stdlib/ndarray-to-array');varcopy=require('@stdlib/ndarray-copy');varx=uniform([5,2],-10.0,10.0,{'dtype': 'generic'});console.log(ndarray2array(x));vary=copy(x);console.log(ndarray2array(y));This package is part of stdlib, 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 develop stdlib, see the main project repository.
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