Awesome
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.
⚠️ Pandaral·lel is looking for a maintainer! ⚠️
If you are interested, please contact me or open a GitHub issue.
Maintainers
Former maintainers (thanks a lot for your work!)
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