Pandaral·lel
| Without parallelization |  |
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| 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
1 maintainer
Metadata
1 maintainer
Release files for pandarallel 1.6.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pandarallel-1.6.5.tar.gz | 14.2 kB | Details |
Release files / pandarallel-1.6.5.tar.gz
| Download URL | pandarallel-1.6.5.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
|
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twine/4.0.2 CPython/3.9.16
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