pandarallel

Name	pandarallel JSON
Version	1.6.5 JSON
	download
home_page	https://nalepae.github.io/pandarallel
Summary	An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas.
upload_time	2023-05-02 20:43:15
maintainer
docs_url	None
author	Manu NALEPA
requires_python	>=3.7
license	BSD
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Pandaral·lel

[![PyPI version fury.io](https://badge.fury.io/py/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/)
[![PyPI license](https://img.shields.io/pypi/l/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/)
[![PyPI download month](https://img.shields.io/pypi/dm/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/)

| Without parallelization  | ![Without Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_apply.gif?raw=true)       |
| :----------------------: | ----------------------------------------------------------------------------------------------------------------- |
| **With parallelization** | ![With Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_parallel_apply.gif?raw=true) |

**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your
CPUs by changing only one line of code. It also displays progress bars.

## Maintainers
- [Manu NALEPA](https://github.com/nalepae/)
- [till-m](https://github.com/till-m)

## Installation

```bash
pip install pandarallel [--upgrade] [--user]
```

## Quickstart

```python
from pandarallel import pandarallel

pandarallel.initialize(progress_bar=True)

# df.apply(func)
df.parallel_apply(func)
```

## Usage

Be sure to check out the [documentation](https://nalepae.github.io/pandarallel).

## Examples

An example of each available `pandas` API is available:

- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb)
- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb)

            

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