piel.visual.experimental.auto#

Functions#

`auto_plot_from_measurement_data`(→ list[tuple, ...)	This function will automatically plot the data from the MeasurementData object provided.
`auto_plot_from_measurement_data_collection`(...)	This function will automatically plot the data from the MeasurementDataCollection provided.
`auto_plot_from_experiment_data`(→ tuple[list[tuple], ...)	This function will automatically plot the data from the ExperimentData object provided.

auto_plot_from_measurement_data(measurement_data: piel.types.experimental.MeasurementDataTypes, **kwargs) → list[tuple, piel.types.PathTypes][source]#: This function will automatically plot the data from the MeasurementData object provided. If there are more than one set of relevant plots for a given MeasurementData, it will generate a list of figures accordingly.

auto_plot_from_measurement_data_collection(measurement_data_collection: piel.types.experimental.MeasurementDataCollectionTypes, plot_output_directory: piel.types.PathTypes = None, extra_plot_output_directories: list[piel.types.PathTypes] = None, measurement_data_collection_to_plot_map: dict = measurement_data_collection_to_plot_map, measurement_data_collection_to_plot_prefix_map: dict = measurement_data_collection_to_plot_suffix_map, **kwargs) → tuple[list[tuple], list[piel.types.PathTypes]][source]#: This function will automatically plot the data from the MeasurementDataCollection provided. If there are more than one set of relevant plots for a given MeasurementData, it will generate a list of figures accordingly.

auto_plot_from_experiment_data(experiment_data: piel.types.experimental.ExperimentData, plot_output_directory: piel.types.PathTypes = None, parametric: bool = False, **kwargs) → tuple[list[tuple], list[piel.types.PathTypes]][source]#: This function will automatically plot the data from the ExperimentData object provided.