numpy-serializer
Motivation
I couldn't find a nice high-level package that is fast enough to serialize and deserialize numpy arrays while preserving the type and shape informations.
Installation
pip install numpy-serializer
How to use
import numpy_serializer as ns
import numpy as np
a = np.random.normal(size=(50,120,150))
b = ns.to_bytes(a)
c = ns.from_bytes(b)
assert np.array_equal(a,c)
License
This project is licensed under the GPL-3 license.
1 maintainer
Metadata
1 maintainer
Release files for numpy-serializer 0.1.3
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-serializer-0.1.3.tar.gz | 1.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numpy_serializer-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / numpy-serializer-0.1.3.tar.gz
| Download URL | numpy-serializer-0.1.3.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
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Release files / numpy_serializer-0.1.3-py3-none-any.whl
| Download URL | numpy_serializer-0.1.3-py3-none-any.whl |
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| Size | 14.6 kB |
| Tags | Python 3 |
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