Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.
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> Return a new [ndarray][@stdlib/ndarray/ctor] filled with linearly spaced values over a specified interval along one or more [ndarray][@stdlib/ndarray/ctor] dimensions.
``bash`
npm install @stdlib/blas-ext-linspace
`javascript`
var linspace = require( '@stdlib/blas-ext-linspace' );
#### linspace( shape, start, stop\[, endpoint]\[, options] )
Returns a new [ndarray][@stdlib/ndarray/ctor] filled with linearly spaced values over a specified interval along one or more [ndarray][@stdlib/ndarray/ctor] dimensions.
`javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var x = linspace( [ 4 ], 1.0, 4.0 );
// returns
var arr = ndarray2array( x );
// returns [ 1.0, 2.0, 3.0, 4.0 ]
`
The function has the following parameters:
- shape: array shape.
- start: start of interval. May be either a number, a complex number, or an [ndarray][@stdlib/ndarray/ctor] having a numeric or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by options.dims. For example, given the input shape [2, 3, 4] and options.dims=[0], a start [ndarray][@stdlib/ndarray/ctor] must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape [3, 4]. Similarly, when performing the operation over all elements in a provided input shape, a start [ndarray][@stdlib/ndarray/ctor] must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].options.dims
- stop: end of interval. May be either a number, a complex number, or an [ndarray][@stdlib/ndarray/ctor] having a numeric or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by . For example, given the input shape [2, 3, 4] and options.dims=[0], a stop [ndarray][@stdlib/ndarray/ctor] must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape [3, 4]. Similarly, when performing the operation over all elements in a provided input shape, a stop [ndarray][@stdlib/ndarray/ctor] must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].options.dims
- endpoint: specifies whether to include the end of the interval when writing values to the output [ndarray][@stdlib/ndarray/ctor] (_optional_). May be either a boolean or an [ndarray][@stdlib/ndarray/ctor] having a boolean or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by . For example, given the input shape [2, 3, 4] and options.dims=[0], an endpoint [ndarray][@stdlib/ndarray/ctor] must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape [3, 4]. Similarly, when performing the operation over all elements in a provided input shape, an endpoint [ndarray][@stdlib/ndarray/ctor] must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor]. Default: true.
- options: function options (_optional_).
The function accepts the following options:
- dims: list of dimensions over which to perform operation. If not provided, the function generates linearly spaced values along the last dimension. Default: [-1].start
- dtype: output [ndarray][@stdlib/ndarray/ctor] [data type][@stdlib/ndarray/dtypes]. If both and stop are real-valued, the output array data type may be any floating-point data type or "generic". However, if either start or stop are complex-valued, the output array type must be a complex floating-point data type or "generic". If a data type is provided, start and stop are cast to the specified data type. If a data type is not provided and both start and stop are the same type (either 'float64', 'complex64', or 'complex128'), the default output array data type is the same type as the input values (either 'float64', 'complex64', or 'complex128', respectively). Otherwise, if a data type is not provided and start and stop have different types, the default output array data type is determined according to type promotion rules.'row-major'
- order: specifies whether an [ndarray][@stdlib/ndarray/ctor] is (C-style) or 'column-major' (Fortran-style). If start, stop, and endpoint are scalar values, the default order is 'row-major'. If start, stop, and/or endpoint arrays have the same memory layout, the default order is the same layout. Otherwise, the default order is 'row-major'.ndarray
- mode: specifies how to handle indices which exceed array dimensions (see [][@stdlib/ndarray/ctor]). Default: 'throw'.ndarray
- submode: a mode array which specifies for each dimension how to handle subscripts which exceed array dimensions (see [][@stdlib/ndarray/ctor]). If provided fewer modes than dimensions, the constructor recycles modes using modulo arithmetic. Default: [ options.mode ].
By default, the function always includes the end of the interval in the list of values written to an output [ndarray][@stdlib/ndarray/ctor]. To exclude the end of the interval, provide an endpoint argument.
`javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var x = linspace( [ 4 ], 1.0, 5.0, false );
// returns
var arr = ndarray2array( x );
// returns [ 1.0, 2.0, 3.0, 4.0 ]
`
When provided scalar or zero-dimensional [ndarray][@stdlib/ndarray/ctor] start, stop, and endpoint arguments, the values are broadcast across all elements in the shape defined by the complement of those dimensions specified by options.dims. To specify separate sub-array configurations, provide non-zero-dimensional [ndarray][@stdlib/ndarray/ctor] arguments.
`javascript
var array = require( '@stdlib/ndarray-array' );
var BooleanArray = require( '@stdlib/array-bool' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var start = array( [ 1.0, 5.0 ] );
var end = array( [ 3.0, 8.0 ] );
var endpoint = array( new BooleanArray( [ true, false ] ) );
var x = linspace( [ 2, 3 ], start, end, endpoint );
// returns
var arr = ndarray2array( x );
// returns [ [ 1.0, 2.0, 3.0 ], [ 5.0, 6.0, 7.0 ] ]
`
By default, the function generates linearly spaced values along the last dimension of an output [ndarray][@stdlib/ndarray/ctor]. To perform the operation over specific dimensions, provide a dims option.
`javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var x = linspace( [ 2, 2 ], 1.0, 4.0, {
'dims': [ 0, 1 ]
});
// returns
var arr = ndarray2array( x );
// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
`
To specify the output [ndarray][@stdlib/ndarray/ctor] [data type][@stdlib/ndarray/dtypes], provide a dtype option.
`javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var x = linspace( [ 4 ], 1.0, 4.0, {
'dtype': 'float32'
});
// returns
var arr = ndarray2array( x );
// returns [ 1.0, 2.0, 3.0, 4.0 ]
`
#### linspace.assign( out, start, stop\[, endpoint]\[, options] )
Fills an [ndarray][@stdlib/ndarray/ctor] with linearly spaced values over a specified interval along one or more [ndarray][@stdlib/ndarray/ctor] dimensions.
`javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var zeros = require( '@stdlib/ndarray-zeros' );
var x = zeros( [ 4 ] );
// returns
var out = linspace.assign( x, 1.0, 4.0 );
// returns
var arr = ndarray2array( out );
// returns [ 1.0, 2.0, 3.0, 4.0 ]
var bool = ( x === out );
// returns true
`
The function has the following parameters:
- out: output [ndarray][@stdlib/ndarray/ctor]. Must have a floating-point or "generic" [data type][@stdlib/ndarray/dtypes].
- start: start of interval. May be either a number, a complex number, or an [ndarray][@stdlib/ndarray/ctor] having a numeric or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by options.dims. For example, given the input shape [2, 3, 4] and options.dims=[0], a start [ndarray][@stdlib/ndarray/ctor] must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape [3, 4]. Similarly, when performing the operation over all elements in a provided output [ndarray][@stdlib/ndarray/ctor], a start [ndarray][@stdlib/ndarray/ctor] must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].options.dims
- stop: end of interval. May be either a number, a complex number, or an [ndarray][@stdlib/ndarray/ctor] having a numeric or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by . For example, given the input shape [2, 3, 4] and options.dims=[0], a stop [ndarray][@stdlib/ndarray/ctor] must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape [3, 4]. Similarly, when performing the operation over all elements in a provided output [ndarray][@stdlib/ndarray/ctor], a stop [ndarray][@stdlib/ndarray/ctor] must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].options.dims
- endpoint: specifies whether to include the end of the interval when writing values to the output [ndarray][@stdlib/ndarray/ctor] (_optional_). May be either a boolean or an [ndarray][@stdlib/ndarray/ctor] having a boolean or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by . For example, given the input shape [2, 3, 4] and options.dims=[0], an endpoint [ndarray][@stdlib/ndarray/ctor] must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape [3, 4]. Similarly, when performing the operation over all elements in a provided output [ndarray][@stdlib/ndarray/ctor], an endpoint [ndarray][@stdlib/ndarray/ctor] must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor]. Default: true.
- options: function options (_optional_).
The function accepts the following options:
- dims: list of dimensions over which to perform operation. If not provided, the function generates linearly spaced values along the last dimension. Default: [-1].
- Let M be the number of linearly spaced values to be written along one or more [ndarray][@stdlib/ndarray/ctor] dimensions. The spacing between values is thus given by
`text`
Δ = (stop-start)/(M-1)
- If an output [ndarray][@stdlib/ndarray/ctor] has a single element and the function is supposed to include the end of the interval, the set of values written to an output [ndarray][@stdlib/ndarray/ctor] only includes the end of the interval, but not the start of the interval.
- Otherwise, when an output [ndarray][@stdlib/ndarray/ctor] has a single element and the function is not supposed to include the end of the interval, the set of values written to an output [ndarray][@stdlib/ndarray/ctor] only includes the start of the interval, but not the end of the interval.
- For a real-valued output [ndarray][@stdlib/ndarray/ctor], if the start of the interval is less than end of the interval, the set of values written to an output [ndarray][@stdlib/ndarray/ctor] will be written in ascending order, and, if the start of the interval is greater than the end of the interval, the set of written values will be in descending order.
- When an output [ndarray][@stdlib/ndarray/ctor] contains at least two values and the function is supposed to include the end of the interval, the set of values written to an output [ndarray][@stdlib/ndarray/ctor] is guaranteed to include the start and end interval values. Beware, however, that values between the interval bounds are subject to floating-point rounding errors.
- When writing to a complex floating-point output [ndarray][@stdlib/ndarray/ctor], real-valued start and stop values are treated as complex numbers having a real component equaling the provided value and having an imaginary component equaling zero.
- When generating linearly spaced complex floating-point numbers, the real and imaginary components are generated separately.
- Both start and stop are cast to the data type of the output [ndarray][@stdlib/ndarray/ctor].
- The function iterates over [ndarray][@stdlib/ndarray/ctor] elements according to the memory layout of an output [ndarray][@stdlib/ndarray/ctor]. Accordingly, performance degradation is possible when operating over multiple dimensions of a large non-contiguous multi-dimensional output [ndarray][@stdlib/ndarray/ctor]. In such scenarios, one may want to copy an output [ndarray][@stdlib/ndarray/ctor] to contiguous memory before filling with linearly spaced values.
`javascript
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var linspace = require( '@stdlib/blas-ext-linspace' );
// Create two vectors defining interval bounds:
var start = linspace( [ 5 ], 1, 5, true );
var end = linspace( [ 5 ], 5, 9, true );
// Create a grid:
var out = linspace( [ 5, 5 ], start, end, true );
console.log( ndarray2array( out ) );
// Generate linearly spaced values over multiple dimensions:
out = linspace( [ 5, 5 ], 1, 25, true, {
'dims': [ 0, 1 ]
});
console.log( ndarray2array( out ) );
// Generate linearly spaced values over multiple dimensions in column-major order:
out = linspace( [ 5, 5 ], 1, 25, true, {
'dims': [ 0, 1 ],
'order': 'column-major'
});
console.log( ndarray2array( out ) );
`
*
This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].
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---
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