Circular buffers (aka ring buffers) backed by a numpy array, supporting the operations:
b.append(val)
b.appendleft(val)
b.pop(val)
b.popleft(val)
np.array(b) - fast unwrapping into a numpy array, for vectorization
For example:
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])1 maintainer
Metadata
1 maintainer
Release files for numpy-ringbuffer 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numpy_ringbuffer-0.1.1.zip | 3.5 kB | Details |
Release files / numpy_ringbuffer-0.1.1.zip
| Download URL | numpy_ringbuffer-0.1.1.zip |
|---|---|
| Size | 3.5 kB |
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