NumPy arrays with named axes and named indices.
Scientists, engineers, mathematicians and statisticians don’t just work with matrices; they often work with structured data, just like you’d find in a table. However, functionality for this is missing from Numpy, and there are efforts to create something to fill the void. This is one of those efforts.
This code is currently experimental, and its API will change! 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.
Datarray provides a subclass of Numpy ndarrays that support:
In no particular order:
You can find our sources and single-click downloads:
The latest released version is always available from pypi.
Please put up issues on the datarray issue tracker.
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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|datarray-0.1.0-py2-none-any.whl (36.8 kB) Copy SHA256 Checksum SHA256||py2||Wheel||Jun 10, 2016|
|datarray-0.1.0-py3-none-any.whl (36.8 kB) Copy SHA256 Checksum SHA256||py3||Wheel||Jun 10, 2016|
|datarray-0.1.0.tar.gz (61.6 kB) Copy SHA256 Checksum SHA256||–||Source||Jun 10, 2016|
|datarray-0.1.0.zip (75.8 kB) Copy SHA256 Checksum SHA256||–||Source||Jun 10, 2016|