https://github.com/4thel00z/numpy-serializer

numpy-serializer is a nice and high-level way to serialize numpy.arrays while preserving their shape and type.
https://github.com/4thel00z/numpy-serializer

bytes deserialization deserialize deserializer msgpack numpy raw serialize serializer serializers

Last synced: 9 days ago
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numpy-serializer is a nice and high-level way to serialize numpy.arrays while preserving their shape and type.

• Host: GitHub
• URL: https://github.com/4thel00z/numpy-serializer
• Owner: 4thel00z
• License: gpl-3.0
• Created: 2020-12-24T13:12:31.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2020-12-24T21:24:40.000Z (almost 4 years ago)
• Last Synced: 2024-10-12T00:22:17.309Z (about 1 month ago)
• Topics: bytes, deserialization, deserialize, deserializer, msgpack, numpy, raw, serialize, serializer, serializers
• Language: Python
• Homepage:
• Size: 66.4 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# numpy-serializer

![numpy-serializer Logo](https://raw.githubusercontent.com/4thel00z/numpy-serializer/master/logo.png)

## 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

```python3

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.