Base
Base ndarray.
Usage
var ns = require( '@stdlib/ndarray/base' );
ns
Base ndarray.
var o = ns;
// returns {...}
bind2vind( shape, strides, offset, order, idx, mode )
: convert a linear index in an underlying data buffer to a linear index in an array view.broadcastArray( arr, shape )
: broadcast an ndarray to a specified shape.broadcastShapes( shapes )
: broadcast array shapes to a single shape.bufferCtors( dtype )
: ndarray data buffer constructors.bufferDataTypeEnum( buffer )
: return the data type enumeration constant of an ndarray data buffer.bufferDataType( buffer )
: return the data type of an ndarray data buffer.buffer( dtype, size )
: create a zero-filled contiguous linear ndarray data buffer.bytesPerElement( dtype )
: return the number of bytes per element provided an underlying array data type.char2dtype( [ch] )
: return the data type string associated with a provided single letter character abbreviation.clampIndex( idx, max )
: restrict an index to the interval[0,max]
.ndarray( dtype, buffer, shape, strides, offset, order )
: create a multidimensional array.dtypeChar( [dtype] )
: return the single letter abbreviation for an underlying array data type.dtypeDesc( [dtype] )
: return the description for a specified data type.dtypeEnum2Str( dtype )
: return the data type string associated with an ndarray data type enumeration constant.dtypeResolveEnum( dtype )
: return the enumeration constant associated with a supported ndarray data type value.dtypeResolveStr( dtype )
: return the data type string associated with a supported ndarray data type value.dtypeStr2Enum( dtype )
: return the enumeration constant associated with an ndarray data type string.dtype2c( dtype )
: return the C data type associated with a provided data type string.dtypes2signatures( dtypes, nin, nout )
: transform a list of array argument data types into a list of signatures.ind( idx, max, mode )
: return an index given an index mode.ind2sub( shape, strides, offset, order, idx, mode )
: convert a linear index to an array of subscripts.iterationOrder( strides )
: given a stride array, determine array iteration order.maxViewBufferIndex( shape, strides, offset )
: compute the maximum linear index in an underlying data buffer accessible to an array view.metaDataProps( meta, dtypes, obj )
: define non-enumerable read-only properties which expose ndarray function meta data.minViewBufferIndex( shape, strides, offset )
: compute the minimum linear index in an underlying data buffer accessible to an array view.minmaxViewBufferIndex( shape, strides, offset )
: compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.nonsingletonDimensions( shape )
: return the number of non-singleton dimensions.numel( shape )
: return the number of elements in an array.serializeMetaData( x )
: serialize ndarray meta data.shape2strides( shape, order )
: generate a stride array from an array shape.singletonDimensions( shape )
: return the number of singleton dimensions.strides2offset( shape, strides )
: determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.strides2order( strides )
: determine the order of a multidimensional array based on a provided stride array.sub2ind( shape, strides, offset, ...subscripts, mode )
: convert subscripts to a linear index.ndarray2array( buffer, shape, strides, offset, order )
: convert an ndarray buffer to a generic array.vind2bind( shape, strides, offset, order, idx, mode )
: convert a linear index in an array view to a linear index in an underlying data buffer.wrapIndex( idx, max )
: wrap an index on the interval[0,max]
.
The namespace contains the following sub-namespaces:
assert
: base ndarray assertion utilities.
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/ndarray/base' );
console.log( objectKeys( ns ) );