Import Data

There are two primary ways in which a user can load their data into the Cubeviz application. Cubeviz supports loading FITS files that can be parsed as SpectralCube objects, in which case the application will attempt to automatically parse the data into the viewers as described in Displaying Cubes. Cubeviz also supports loading FITS files that can be parsed as Spectrum1D, which will be loaded into the 1D spectrum viewer.

Importing data through the GUI

The first way that users can load their data into the Cubeviz application is by clicking the Import button at the top left of the application’s user interface. This opens a dialogue where the user can enter the path of file that can be parsed as a SpectralCube or Spectrum1D in the text field:

After clicking 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 Data tab of each viewer’s options menu as described in Selecting Data Set

Importing data via the API

Alternatively, if users are working in a coding environment like a Jupyter notebook, they have access to the Cubeviz helper class API. Using this API, users can load data into the application through code using the load_data method, which takes as input either the name of a local file or a SpectralCube or Spectrum1D object.

>>> from jdaviz import CubeViz
>>> cubeviz = CubeViz()
>>> cubeviz.load_data("/Users/demouser/data/cube_file.fits")