SourceModelContainer

class jwst.datamodels.SourceModelContainer(init=None, **kwargs)[source]

Bases: jwst.datamodels.ModelContainer

A container to make MultiExposureModel look like ModelContainer

The MultiExposureModel.exposures list contains the data for each exposure from a common slit id. Though the information is the same, the structures are not true SlitModel instances. This container creates a SlitModel wrapper around each exposure, such that pipeline code can treat each as a DataModel.

Parameters

  • init (str, tuple, HDUList, ndarray, dict, None) –

    • None : Create a default data model with no shape.

    • tuple : Shape of the data array. Initialize with empty data array with shape specified by the.

    • file path: Initialize from the given file (FITS or ASDF)

    • readable file object: Initialize from the given file object

    • HDUList : Initialize from the given HDUList.

    • A numpy array: Used to initialize the data array

    • dict: The object model tree for the data model

  • schema (dict, str (optional)) – Tree of objects representing a JSON schema, or string naming a schema. The schema to use to understand the elements on the model. If not provided, the schema associated with this class will be used.

  • memmap (bool) – Turn memmap of FITS file on or off. (default: False). Ignored for ASDF files.

  • pass_invalid_values (bool or None) – If True, values that do not validate the schema will be added to the metadata. If False, they will be set to None. If None, value will be taken from the environmental PASS_INVALID_VALUES. Otherwise the default value is False.

  • strict_validation (bool or None) – If True, schema validation errors will generate an exception. If False, they will generate a warning. If None, value will be taken from the environmental STRICT_VALIDATION. Otherwise, the default value is False.

  • ignore_missing_extensions (bool) – When False, raise warnings when a file is read that contains metadata about extensions that are not available. Defaults to True.

  • kwargs (dict) – Additional arguments passed to lower level functions.

  • available built-in formats are (The) –

  • ==== ===== ============= (=========) – Format Read Write Auto-identify

  • ==== ===== ============= –

  • Yes Yes Yes (datamodel) –

  • ==== ===== ============= –

Methods Summary

save([path, dir_path, save_model_func])

Save out the container as a MultiExposureModel

Methods Documentation

save(path=None, dir_path=None, save_model_func=None, *args, **kwargs)[source]

Save out the container as a MultiExposureModel