davestanley/MultiDi​mensionalDictionary

MDD allows the implementation of multidimensional Python-esque dictionaries in MATLAB.
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Actualizado 30 Apr 2018

MATLAB Multidimensional Dictionary class
Summary: MDD allows the implementation of multidimensional Python-esque dictionaries in MATLAB.
Description: MDD can be interpreted in several different ways.

+ A map/dictionary that associates multiple keys with a single value
+ An N-dimensional table (a table is equivalent to an MDD object in 2-dimensions)
+ A matrix or cell array that can be indexed by using strings and regular expressions

WARNING: This is a work in progress. The core code is implemented, but documentation is missing. I will be updating it more over the coming months.

This code is similar to the multidimensional map function implemented by David Young. However, this implementation does not use MATLAB maps and instead is adds functionality to traditional MATLAB matrices and cell arrays.

Github: See GitHub page https://github.com/davestanley/MultiDimensionalDictionary

Example commands: See tutorial_MDD.m

Typical usage:
out = md(43:45,'test*', 1)
MDD objects can be indexed using normal Matlab indexing, or via regular expressions, which do a look up against previously defined axis names. The above example would return a new MDD object with indexes 43:45 along dimension 1, and with all axis values beginning with 'test' along dimension 2.

MATLAB Map Containers (https://www.mathworks.com/help/matlab/map-containers.html)
Multidimensional implementation of this by David Young (https://www.mathworks.com/matlabcentral/fileexchange/33068-a-multidimensional-map-class)

Citar como

David Stanley (2024). davestanley/MultiDimensionalDictionary (https://github.com/davestanley/MultiDimensionalDictionary), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Dictionaries en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: A multidimensional map class

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