Importing Data Into Specviz2D

By design, Specviz2D only supports data that can be parsed as Spectrum1D objects, as that allows the Python-level interface and parsing tools to be defined in specutils instead of being duplicated in Jdaviz. Spectrum1D objects are very flexible in their capabilities, however, and hence should address most astronomical spectrum use cases. If you are creating your own data products, please read the page Creating Jdaviz-readable Products.

See also

Reading from a File

Specutils documentation on loading data as Spectrum1D objects.

Specviz2D can either take both a 2D and 1D spectrum as input, or can automatically extract a 1D spectrum if only a 2D spectrum is provided. To view the extraction parameters and override the extraction, see the spectral extraction plugin.

Importing data through the Command Line

You can load your data into the Specviz2D application through the command line. Providing a data file is optional and multiple data files are supported (NOTE: this currently only supports passing a 2D spectrum object and will automatically extract the 1D spectrum):

jdaviz --layout=specviz2d /my/directory/spectrum1.fits /my/directory/spectrum2.fits

Importing data through the GUI

You can load your data into the Specviz2D application by clicking the Import Data 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 Spectrum1D.

After clicking Import, the data file will be parsed and loaded into the application.

Importing data via the API

Alternatively, users who work in a coding environment like a Jupyter notebook can access the Specviz2D helper class API. Using this API, users can load data into the application through code with the load_data() method, which takes as input a Spectrum1D object or filename for the 2D spectrum and (optionally) the 1D spectrum.

specviz2d = Specviz2d()
specviz2d.load_data('/my/directory/2dspectrum.fits', '/my/directory/1dspectrum.fits')
specviz2d.show()

By default, extension 1 of the 2D file is loaded, but you can specify another extension by providing an integer to the ext keyword. In case you want to load an uncalibrated spectrum that is dispersed vertically, you can also set the transpose keyword to flip the spectrum to be horizontal:

specviz2d.load_data(filename, ext=7, transpose=True)

Loading from a URL or URI

See also

Load from URL or URI

Imviz documentation describing load from URI/URL.