open

jwst.datamodels.open(init=None, guess=True, memmap=False, **kwargs)

Create a DataModel from a number of different types.

Parameters:
initshape tuple, file path, 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)

  • astropy.io.fits.HDUList: Initialize from the given ~astropy.io.fits.HDUList

  • 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

guessbool

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.

memmapbool

Turn memmap of file on or off.

**kwargs

Additional keyword arguments passed to the DataModel constructor. Some arguments are general, others are file format-specific. Arguments of note are:

  • General

    validate_arraysbool

    If True, arrays will be validated against ndim, max_ndim, and datatype validators in the schemas.

Returns:
DataModel

A new model instance.