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Datarray 0.0.3

NumPy arrays with named axes and named indices

Datarray provides a subclass of Numpy ndarrays that support:

 * individual dimensions (axes) being labeled with meaningful descriptions
 * labeled 'ticks' along each axis
 * indexing and slicing by named axis
 * indexing on any axis with the tick labels instead of only integers
 * reduction operations (like .sum, .mean, etc) support named axis arguments instead of only integer indices.

Code

You can find our sources and single-click downloads:

 * Main repository on Github.
 * Download as a tar/zip file the current trunk.

Note


this code is currently experimental! It is meant to be a place for the community to understand and develop the right semantics and have a prototype implementation that will ultimately (hopefully) be folded back into Numpy itself.

Requirements:

· Python

  Other
-   junixsocket 1.2
-   PyAyaByAya 0.1
-   PyCorpus 0.1
-   Alfanous 0.2
-   Template::Plugin::HTML::Prototype 0.01
-   Class::Method::Auto 1.00
-   Catalyst::Plugin::Config::YAML 0.04
-   NCBIx::BigFetch 0.56
-   Crypt::Ctr 0.01
-   Crypt::CFB 0.01
-   CosmoloPy 0.1.001
-   altgraph 0.7.0
-   CodeTalker 1.0
-   modulegraph 0.8
-   Shabti 0.4
-   rivr 0.1.1
-   czipfile 1.0.0
-   EnrichPy 0.1.001
-   Review Pages 1.0.1
-   XML::Elemental 2.11
 
 
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