| Name | lazydf JSON |
| Version |
0.220726.3
JSON |
| download |
| home_page | |
| Summary | Hopefully safe and deterministic serializer to binary format, including Pandas data |
| upload_time | 2023-01-28 14:02:52 |
| maintainer | |
| docs_url | None |
| author | davips |
| requires_python | >=3.10,<4.0 |
| license | GPL |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://codecov.io/gh/lazydf/lazydf)
<a href="https://pypi.org/project/lazydf">
<img src="https://img.shields.io/github/v/release/lazydf/lazydf?display_name=tag&sort=semver&color=blue" alt="github">
</a>
[](https://www.gnu.org/licenses/gpl-3.0)
[](https://lazydf.github.io/lazydf)
# lazydf - Serialization of nested objects to binary format
An alternative to pickle, but may use pickle if safety is not needed.
Principle: Start from the simplest and safest possible and try to be fast.
* try orjson
* `dict`, `str`, `int`, etc
* try bson
* standard types accepted by mongodb
* serialize as numpy
* ndarray, pandas dataframe/series
Non-deterministic and unsafe modes (pickle) are planned for the near future.
## Python installation
### from package
```bash
# Set up a virtualenv.
python3 -m venv venv
source venv/bin/activate
# Install from PyPI
pip install lazydf
```
### from source
```bash
git clone https://github.com/lazydf/lazydf
cd lazydf
poetry install
```
### Examples
Some usage examples.
## Grants
This work was partially supported by Fapesp under supervision of
Prof. André C. P. L. F. de Carvalho at CEPID-CeMEAI (Grants 2013/07375-0 – 2019/01735-0).
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