- jwst.datamodels.open(init=None, guess=True, memmap=False, **kwargs)¶
Creates a DataModel from a number of different types
init (shape tuple, file path, file object, astropy.io.fits.HDUList,) –
numpy array, dict, None
None: A default data model with no shape
shape tuple: Initialize with empty data of the given shape
file path: Initialize from the given file (FITS, JSON or ASDF)
readable file object: Initialize from the given file object
astropy.io.fits.HDUList: Initialize from the given
A numpy array: A new model with the data array initialized to what was passed in.
dict: The object model tree for the data model
guess (bool) – Guess as to the model type if the model type is not specifically known from the file. If not guess and the model type is not explicit, raise a TypeError.
memmap (bool) – Turn memmap of file on or off. (default: False).
kwargs (dict) –
Additional keyword arguments passed to the DataModel constructor. Some arguments are general, others are file format-specific. Arguments of note are:
True, arrays will be validated against ndim, max_ndim, and datatype validators in the schemas.
- skip_fits_updatebool or None
- Return type