A fast python library for finding both min and max value in a NumPy array

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Project description

numpy-minmax: a fast function for finding the minimum and maximum value in a NumPy array

NumPy lacked an optimized minmax function, so we wrote our own. At Nomono, we use it for audio processing, but it can also be applied to other kinds of data of similar shape.

Written in C and takes advantage of AVX2 for speed
Roughly 2.3x speedup compared to the numpy amin+amax equivalent (tested with numpy 1.24-1.26)
The fast implementation is tailored for C-contiguous 1-dimensional and 2-dimensional float32 arrays. Other types of arrays get processed with numpy.amin and numpy.amax, so no perf gain there.

Installation

python 3.8, 3.9, 3.10, 3.11 os: Linux, Windows

$ pip install numpy-minmax

Usage

import numpy_minmax
import numpy as np

arr = np.arange(1337, dtype=np.float32)
min_val, max_val = numpy_minmax.minmax(arr)  # 0.0, 1336.0

Development

Install dev/build/test dependencies as denoted in setup.py
CC=clang pip install -e .
pytest

Running benchmarks

Install diplib pip install diplib
python scripts/perf_benchmark.py

Acknowledgements

This library is maintained/backed by Nomono, a Norwegian audio AI startup.

Project details

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0.2.1

Mar 12, 2024

0.2.0

Jan 17, 2024

This version

0.1.1

Jan 15, 2024

0.1.0

Jan 12, 2024

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