There are two primary ways in which you can load your data into the Cubeviz application. Cubeviz supports loading FITS files that can be parsed as :class:`~specutils.Spectrum1D` objects, in which case the application will attempt to automatically parse the data into the viewers as described in :ref:`cubeviz-display-cubes`, including the 1D spectrum viewer.
The first way you can load your data into the Cubeviz application is by clicking the :guilabel:`Import` button at the top left of the application's user interface. This opens a dialogue where you can navigate your local file system (single click to enter a folder) and select the path of a file that can be parsed as a :class:`~specutils.Spectrum1D`:
After clicking :guilabel:`Import`, the data file will be parsed and loaded into the application. A green success message will appear 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`.
Alternatively, if you are working in a coding environment like a Jupyter notebook, you have access to the Cubeviz helper class API. Using this API, you can load data into the application through code using the :meth:`~jdaviz.core.helpers.ConfigHelper.load_data` method, which takes as input either the name of a local file or a :class:`~specutils.Spectrum1D` object.
>>> from jdaviz import Cubeviz >>> cubeviz = Cubeviz() >>> cubeviz.load_data("/Users/demouser/data/cube_file.fits") # doctest: +SKIP