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Released:

Fast NumPy array functions written in C

Project description

Bottleneck is a collection of fast NumPy array functions written in C.

Let’s give it a try. Create a NumPy array:

Find the nanmean:

Moving window mean:

Benchmark

Bottleneck comes with a benchmark suite:

You can also run a detailed benchmark for a single function using, forexample, the command:

Only arrays with data type (dtype) int32, int64, float32, and float64 areaccelerated. All other dtypes result in calls to slower, unacceleratedfunctions. In the rare case of a byte-swapped input array (e.g. a big-endianarray on a little-endian operating system) the function will not beaccelerated regardless of dtype.

Where

License

Bottleneck is distributed under a Simplified BSD license. See the LICENSE fileand LICENSES directory for details.

Install

Requirements:

To install Bottleneck on Linux, Mac OS X, et al.:

To install bottleneck on Windows, first install MinGW and add it to yoursystem path. Then install Bottleneck with the command:

Alternatively, you can use the Windows binaries created by Christoph Gohlke:http://www.lfd.uci.edu/~gohlke/pythonlibs/#bottleneck

Unit tests

After you have installed Bottleneck, run the suite of unit tests:

If developing in the git repo, simply run py.test

Release historyRelease notifications RSS feed

1.3.2

1.3.1

1.3.0

1.3.0rc2 pre-release

1.3.0rc1 pre-release

1.2.1

1.2.0

1.1.0

1.0.0

0.8.0

0.7.0

0.6.0

0.5.0

0.4.3

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0.4.2

0.4.1

0.4.0

0.3.0

0.2.0

0.1.0

0.1.0dev pre-release

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