boilerdata.stages.pipeline

`boilerdata.stages.pipeline`#

Pipeline.

`main`
`get_properties`	Get properties.
`fit`	Fit the data to a model function.
`fit_setup`	Reshape vectors to be passed to the curve fit.
`agg_over_runs`	Aggregate properties over each run. Runs per trial because TCs can vary.
`get_superheat`	Calculate heat transfer and superheat based on one-dimensional approximation.
`assign_metadata`	Assign metadata columns to the dataframe.

boilerdata.stages.pipeline.get_properties( df: pandas.DataFrame, params: boilerdata.models.params.Params, ) → pandas.DataFrame#: Get properties.

boilerdata.stages.pipeline.fit( grp: pandas.DataFrame, params: boilerdata.models.params.Params, model: Any, confidence_interval_95: float, ) → pandas.DataFrame#: Fit the data to a model function.

boilerdata.stages.pipeline.fit_setup( grp: pandas.DataFrame, params: boilerdata.models.params.Params, trial: boilercore.models.trials.Trial, )#: Reshape vectors to be passed to the curve fit.

boilerdata.stages.pipeline.agg_over_runs( grp: pandas.DataFrame, params: boilerdata.models.params.Params, confidence_interval_95: float, ) → pandas.DataFrame#: Aggregate properties over each run. Runs per trial because TCs can vary.

boilerdata.stages.pipeline.get_superheat( df: pandas.DataFrame, params: boilerdata.models.params.Params, ) → pandas.DataFrame#: Calculate heat transfer and superheat based on one-dimensional approximation.

boilerdata.stages.pipeline.assign_metadata( grp: pandas.DataFrame, params: boilerdata.models.params.Params, ) → pandas.DataFrame#: Assign metadata columns to the dataframe.