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
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