numpy-ringbuffer

Name	numpy-ringbuffer JSON
Version	0.2.2 JSON
	download
home_page	https://github.com/eric-wieser/numpy_ringbuffer
Summary	Ring buffer implementation for numpy
upload_time	2022-06-28 20:14:58
maintainer
docs_url	None
author	Eric Wieser
requires_python
license	MIT
keywords	numpy buffer ringbuffer circular buffer
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # numpy_ringbuffer

[![Build Status](https://github.com/eric-wieser/numpy_ringbuffer/actions/workflows/main.yml/badge.svg?branch=master)](https://github.com/eric-wieser/numpy_ringbuffer/actions/workflows/main.yml)
[![codecov](https://codecov.io/gh/eric-wieser/numpy_ringbuffer/branch/master/graph/badge.svg)](https://codecov.io/gh/eric-wieser/numpy_ringbuffer)

Ring (aka circular) buffers backed by a numpy array, supporting:

 * Operations from `collections.deque`
   * `b.append(val)`
   * `b.appendleft(val)`
   * `b.extend(val)`
   * `b.extendleft(val)`
   * `b.pop(val)`
   * `b.popleft(val)`
 * The `collections.Sequence` protocol (unoptimized)
 * C-side unwrapping into an array with `np.array(b)`
 * Arbitrary element dtypes, including extra dimensions like `RingBuffer(N, dtype=(int, 3))`

For example:

```python
import numpy as np
from numpy_ringbuffer import RingBuffer

r = RingBuffer(capacity=4, dtype=np.bool)
r.append(True)
r.appendleft(False)
print(np.array(r))  # array([False, True])
```


            

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