ndarray

Multidimensional arrays.

Usage

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

ns

ndarray namespace.

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

The namespace exports the following functions to create multidimensional arrays:

• array( [buffer,] [options] ): create a multidimensional array.
• ndarray( dtype, buffer, shape, strides, offset, order[, options] ): multidimensional array constructor.

The namespace contains the following sub-namespaces:

• base: base ndarray.
• iter: multidimensional array iterators.

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

• broadcastArray( x, shape ): broadcast an ndarray to a specified shape.
• ndarrayCastingModes(): list of ndarray casting modes.
• ndarrayDataBuffer( x ): return the underlying data buffer of a provided ndarray.
• defaults(): default ndarray settings.
• dispatch( fcns, types, data, nargs, nin, nout ): create an ndarray function interface which performs multiple dispatch.
• ndarrayDataType( x ): return the data type of a provided ndarray.
• ndarrayDataTypes( [kind] ): list of ndarray data types.
• ndemptyLike( x[, options] ): create an uninitialized ndarray having the same shape and data type as a provided ndarray.
• ndempty( shape[, options] ): create an uninitialized ndarray having a specified shape and data type.
• FancyArray( dtype, buffer, shape, strides, offset, order[, options] ): fancy multidimensional array constructor.
• scalar2ndarray( value[, options] ): 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.
• maybeBroadcastArray( x, shape ): broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
• ndarrayMinDataType( value ): determine the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.
• ndarrayMostlySafeCasts( [dtype] ): return a list of ndarray data types to which a provided ndarray data type can be safely cast and, for floating-point data types, can be downcast.
• ndims( x ): return the number of ndarray dimensions.
• ndarrayNextDataType( [dtype] ): return the next larger ndarray data type of the same kind.
• numel( x ): return the number of elements in an ndarray.
• ndarrayOffset( x ): return the index offset specifying the underlying buffer index of the first iterated ndarray element.
• ndarrayOrder( x ): return the layout order of a provided ndarray.
• ndarrayOrders(): list of ndarray orders.
• ndarrayOutputDataTypePolicies(): list of output ndarray data type policies.
• 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".
• ndarrayShape( x ): return the shape of a provided ndarray.
• ndsliceAssign( x, y, ...s[, options] ): assign element values from a broadcasted input ndarray to corresponding elements in an output ndarray view.
• ndsliceDimensionFrom( x, dim, start[, options] ): return a read-only shifted view of an input ndarray along a specified dimension.
• ndsliceDimensionTo( x, dim, stop[, options] ): return a read-only truncated view of an input ndarray along a specified dimension.
• ndsliceDimension( x, dim, slice[, options] ): return a read-only view of an input ndarray when sliced along a specified dimension.
• ndslice( x, ...s[, options] ): return a read-only view of an input ndarray.
• ndarrayStrides( x ): return the strides of a provided ndarray.
• sub2ind( shape, ...subscripts[, options] ): convert subscripts to a linear index.
• ndarray2array( x ): convert an ndarray to a generic array.
• 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.

Examples

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

console.log( objectKeys( ns ) );