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.
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-1.6.0.tar.gz
(12.1 kB
view details)
File details
Details for the file pandarallel-1.6.0.tar.gz.
File metadata
- Download URL: pandarallel-1.6.0.tar.gz
- Upload date:
- Size: 12.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bfbe1177b4c2258948fa90cd62f0d6a75775490cb9b4825ae4f8b5651fad4195
|
|
| MD5 |
436c9fbb55820a7d5611c8c6a9549f69
|
|
| BLAKE2b-256 |
988997fb16478bbe68e6da10122160245b5d938be004d9fac5ecd62a734ed394
|
