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Fast NumPy array functions written in Cython

Project description

Introduction

Bottlechest is a fork of bottleneck (https://github.com/kwgoodman/bottleneck), specialized for use in Orange (https://github.com/biolab/orange3).

Moving window functions, several other functions and all optimization of 3d arrays are removed to reduce the size of the library. New functions are added as needed.

NumPy/SciPy median, nanmedian, rankdata, ss, nansum, nanmin, nanmax, nanmean, nanstd, nanargmin, nanargmax
Functions nanrankdata, nanvar, replace, nn, anynan, allnan, nanequal

For other documentation, including a simple example and comprehensive set of benchmarks, refer to the original project.

License

Bottlechest is distributed under a Simplified BSD license. Parts of Bottleneck, NumPy, Scipy, numpydoc and bottleneck, all of which have BSD licenses, are included in Bottlechest. See the LICENSE file, which is distributed with Bottlechest, for details.

Install

Requirements:

Bottlechest Python 2.6, 2.7, 3.2; NumPy 1.8
Unit tests nose
Compile gcc or MinGW
Optional SciPy 0.8, 0.9, 0.10 (portions of benchmark)

Project details


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Bottlechest-0.7.1-cp34-cp34m-macosx_10_9_x86_64.whl (2.2 MB) Copy SHA256 hash SHA256 Wheel 3.4
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Bottlechest-0.7.1-cp35-cp35m-macosx_10_11_x86_64.whl (2.3 MB) Copy SHA256 hash SHA256 Wheel 3.5
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