An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas.
Project description
Pandaral·lel
| Without parallelization |  |
|---|---|
| With parallelization |  |
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
Installation
pip install pandarallel [--upgrade] [--user]`
Quickstart
from pandarallel import pandarallel
pandarallel.initialize(progress_bar=True)
# df.apply(func)
df.parallel_apply(func)
Usage
Be sure to check out the documentation.
Examples
An example of each available pandas API is available:
- For Mac & Linux
- For Windows
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pandarallel-1.6.3.tar.gz
(12.4 kB
view details)
File details
Details for the file pandarallel-1.6.3.tar.gz.
File metadata
- Download URL: pandarallel-1.6.3.tar.gz
- Upload date:
- Size: 12.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
699068b765e8d5cf93048f703084fe8097c9efd8f3bb989bcff04bf366042eeb
|
|
| MD5 |
948d7d43b97b014b150ce6e497e1f83d
|
|
| BLAKE2b-256 |
6df3103f7e6d0189812b2719826a6293f55964857036e2cb178c0a0f76bfb57b
|
