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Import Data

Imviz can load data in the form of a filename (FITS, JPEG, or PNG), an ~astropy.nddata.NDData object, or a NumPy array if the data is 2D. See :meth:`jdaviz.configs.imviz.helper.Imviz.load_data` for more information.

Importing data through the GUI

The first way that you can load your data into the Imviz application is by clicking the :guilabel:`Import` button at the top left of the application's user interface. This opens a dialogue where the user can select a file that can be parsed as a :class:`~astropy.nddata.NDData`, :class:`~astropy.io.fits.HDUList`, or :class:`~astropy.io.fits.ImageHDU` in the text field.

After clicking :guilabel:`Import`, the data file will be parsed and loaded into the application. A notification will appear to let users know if the data import was successful. Afterward, the new data set can be found in the :guilabel:`Data` tab of each viewer's options menu as described in :ref:`cubeviz-selecting-data`.

Importing data via the API

Alternatively, if you are working in a coding environment like a Jupyter notebook, you have access to the Imviz helper class API. Using this API, users can load data into the application through code using the :meth:`~jdaviz.configs.imviz.helper.Imviz.load_data` method, which takes as input either the name of a local file, an :class:`~astropy.nddata.NDData`, :class:`~astropy.io.fits.HDUList`, or :class:`~astropy.io.fits.ImageHDU` object.

The example below loads the first science extension of the given FITS file into Imviz:

from jdaviz import Imviz
imviz = Imviz()
imviz.app
imviz.load_data("/path/to/data/image.fits")