Currently, data must be imported into Mosviz using the API in the Jupyter notebook.
After initializing the app as explained in :ref:`mosviz-notebook`,
you must generate three lists containing the filenames for the 1D spectra,
2D spectra, and images in your dataset. These three lists are taken as arguments
to the :meth:`~jdaviz.configs.mosviz.helper.Mosviz.load_data` method.
An example is given below, where file_dir is a
directory that contains all the files for the dataset to be loaded:
>>> import glob
>>> from jdaviz import Mosviz
>>> mosviz = Mosviz()
>>> mosviz.app # doctest: +SKIP
>>> spectra_1d = []
>>> spectra_2d = []
>>> images = []
>>> for filename in glob.iglob(f"{file_dir}/*"): # doctest: +SKIP
>>> if "x1d" in filename: # doctest: +SKIP
>>> spectra_1d.append(filename) # doctest: +SKIP
>>> elif "s2d" in filename: # doctest: +SKIP
>>> spectra_2d.append(filename) # doctest: +SKIP
>>> elif "fits" in filename: # doctest: +SKIP
>>> images.append(filename) # doctest: +SKIP
>>> mosviz.load_data(spectra_1d, spectra_2d, images) # doctest: +SKIP
This example assumes that all 1D spectra have "x1d" in the filename, all 2D spectra have "s2d" in the filename, and any other FITS files in the directory are the corresponding images.