simulation.post_processing

Methods for processing simulations.

Module Attributes

SAMPLE_COLUMNS

Columns names used when sampling simulation data.

Functions

sample_simulation_data(bucket, series_name, ...)	Sample simulation data for select conditions and seeds at given resolution.
sample_simulation_data_points(data, ...[, ...])	Sample selected columns from simulation data at given resolution.

SAMPLE_COLUMNS: list[str] = ['xpos', 'ypos', 'zpos']

Columns names used when sampling simulation data.

sample_simulation_data(bucket: str, series_name: str, condition_keys: list[str], random_seeds: list[int], n_timepoints: int, n_monomer_points: int) → None

Sample simulation data for select conditions and seeds at given resolution.

Parameters:

• bucket – Name of S3 bucket for input and output files.

• series_name – Name of simulation series.

• condition_keys – List of condition keys.

• random_seeds – Random seeds for simulations.

• n_timepoints – Number of equally spaced timepoints to sample.

• n_monomer_points – Number of equally spaced monomer points to sample.

sample_simulation_data_points(data: DataFrame, n_timepoints: int, n_monomer_points: int, sampled_columns: list[str] = ['xpos', 'ypos', 'zpos']) → DataFrame

Sample selected columns from simulation data at given resolution.

Parameters:

• data – Full simulation data.

• n_timepoints – Number of equally spaced timepoints to sample.

• n_monomer_points – Number of equally spaced monomer points to sample.

• sampled_columns – List of column names to sample.

Returns:

Sampled simulation data.