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Installation

pip install pandarallel [--upgrade] [--user]

Usage

First, you have to import pandarallel:

from pandarallel import pandarallel

Then, you have to initialize it.

pandarallel.initialize()

This method takes 5 optional parameters:

  • shm_size_mb: Deprecated - Do not use.
  • nb_workers: Number of workers used for parallelization. (int) If not set, default to the number of cores available.
  • progress_bar: Display progress bars if set to True. (bool, False by default)
  • verbose: The verbosity level (int, 2 by default)
    • 0 - don't display any logs
    • 1 - display only warning logs
    • 2 - display all logs
  • use_memory_fs: (bool, None by default)
    • If set to None and if memory file system is available, pandarallel will use it to transfer data between the main process and workers. If memory file system is not available, pandarallel will default on multiprocessing data transfer (pipe).
    • If set to True, pandarallel will use memory file system to transfer data between the main process and workers and will raise a SystemError if memory file system is not available.
    • If set to False, pandarallel will use multiprocessing data transfer (pipe) to transfer data between the main process and workers.

Using memory file system reduces data transfer time between the main process and workers, especially for big data.

Memory file system is considered as available only if the directory /dev/shm exists and if the user has read and write rights on it.

Basically, memory file system is only available on some Linux distributions (including Ubuntu).