Name | ancb JSON |
Version |
0.1.2
JSON |
| download |
home_page | https://github.com/EmDash00/ANCB |
Summary | Fast, efficient, and powerful NumPy compatible circular buffers. |
upload_time | 2023-11-09 07:54:55 |
maintainer | |
docs_url | None |
author | Ember Chow |
requires_python | >=3.6,<4.0 |
license | Apache-2.0 |
keywords |
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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coveralls test coverage |
No coveralls.
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# Another NumPy Circular Buffer
[![Build Status](https://travis-ci.com/EmDash00/ANCB.svg?branch=master)](https://travis-ci.com/EmDash00/ANCB)
Another NumPy Circular Buffer (or ANCB for short) is an attempt to make a circular buffer work with NumPy ufuncs for
real-time data processing. One can think of a NumpyCircularbuffer in ANCB as being a fixed length deque with random access
functionality (unlike the deque). For users more familar with NumPy, one can think of this buffer as a way of automatically
rolling the array into the right order.
ANCB was developed by Drason "Emmy" Chow during their time as an undergraduate researcher at IU: Bloomington for use in
making [Savitzky-Golay filters](https://en.wikipedia.org/wiki/Savitzky%E2%80%93Golay_filter), which take an array of positions in chronological or reverse-chronological order and produce
estimates of velocity, acceleration, and possibly higher order derivatives if desired.
Looking for the documentation? You can find it here:
https://ancb-docs.readthedocs.io/en/latest/
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