EstimationSteps#

class pharmpy.EstimationSteps(steps=None)[source]#

Bases: Sequence

A sequence of estimation steps

Parameters:

steps (iterable or None) – Used for initialization

Methods Summary

to_dataframe()

Convert to DataFrame

Methods Documentation

to_dataframe()[source]#

Convert to DataFrame

Use this to create an overview of all estimation steps

Returns:

  • pd.DataFrame – DataFrame overview

  • >>> from pharmpy.modeling import load_example_model

  • >>> model = load_example_model(“pheno”)

  • >>> model.estimation_steps.to_dataframe() # doctest (+ELLIPSIS) – method interaction cov … auto keep_every_nth_iter tool_options

  • 0 FOCE True True … None None {}