micom.workflows.core

Makes it easier to run analyses on several samples in parallel.

Module Contents

Functions

workflow(func, args, n_jobs=4, unit='sample(s)', progress=True)

Run analyses for several samples in parallel.

Attributes

GrowthResults

micom.workflows.core.GrowthResults[source]
micom.workflows.core.workflow(func, args, n_jobs=4, unit='sample(s)', progress=True)[source]

Run analyses for several samples in parallel.

This will analyze several samples in parallel. Includes a workaround for optlang memory leak.

Parameters
  • func (function) – A function that takes a single argument (can be any object) and that performs your analysis for a single sample.

  • args (array-like object) – An array-like object (list, tuple, numpy array, pandas Series, etc.) that contains the arguments for each sample.

  • n_jobs (positive int) – How many samples to analyze in parallel at once.

  • unit (str) – The unit used for the progress bar.

  • progress (bool) – Whether to show a progress bar.