A fast python library for finding both min and max 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.

Written in C and takes advantage of AVX2 for speed
Roughly 2.3x faster than 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

$ 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

Acknowledgements

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

Project details

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Release history Release notifications | RSS feed

0.2.1

Mar 12, 2024

0.2.0

Jan 17, 2024

0.1.1

Jan 15, 2024

This version

0.1.0

Jan 12, 2024

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