ndarray

Multidimensional arrays.

Usage

var ns = require( '@stdlib/ndarray' );

ndarray namespace.

var o = ns;
// returns {...}

The namespace exports the following functions to create multidimensional arrays:

The namespace contains the following sub-namespaces:

In addition, the namespace contaians the following multidimensional array utility functions:

ndarrayCastingModes(): list of ndarray casting modes.
dispatch( fcns, types, data, nargs, nin, nout ): create an ndarray function interface which performs multiple dispatch.
ndarrayDataTypes(): list of ndarray data types.
scalar2ndarray( value[, dtype] ): convert a scalar value to a zero-dimensional ndarray.
ind2sub( shape, idx[, options] ): convert a linear index to an array of subscripts.
ndarrayIndexModes(): list of ndarray index modes.
ndarrayMinDataType( value ): determine the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.
ndarrayNextDataType( [dtype] ): return the next larger ndarray data type of the same kind.
ndarrayOrders(): list of ndarray orders.
ndarrayPromotionRules( [dtype1, dtype2] ): return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be safely cast.
ndarraySafeCasts( [dtype] ): return a list of ndarray data types to which a provided ndarray data type can be safely cast.
ndarraySameKindCasts( [dtype] ): return a list of ndarray data types to which a provided ndarray data type can be safely cast or cast within the same "kind".
sub2ind( shape, ...subscripts[, options] ): convert subscripts to a linear index.
ndzerosLike( x[, options] ): create a zero-filled ndarray having the same shape and data type as a provided ndarray.
ndzeros( shape[, options] ): create a zero-filled ndarray having a specified shape and data type.

var objectKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/ndarray' );

console.log( objectKeys( ns ) );