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Exporting Data from Cubeviz

After data have been manipulated or analyzed, it is possible to export those data currently back into your Jupyter notebook.

Spatial Regions

Export Spatial Regions <imviz_export>

Documentation on how to export spatial regions.

Since Specviz can be accessed from Cubeviz, the following line of code can be used to extract the spectrum of a spatial subset named "Subset 1":

subset1_spec1d = cubeviz.specviz.get_spectra("Subset 1")

An example without accessing Specviz:

subset1_spec1d = cubeviz.app.get_data_from_viewer("flux-viewer", data_label="Subset 1")

To get all subsets from the spectrum viewer:

subset1_spec1d = cubeviz.app.get_subsets_from_viewer("spectrum-viewer")

To access the spatial regions themselves:

regions = cubeviz.get_interactive_regions()
regions

1D Spectra and Spectral Regions

Export Spectra <specviz-export-data>

Documentation on how to export data from the spectrum-viewer.

The following line of code can be used to extract a spectral subset named "Subset 2":

subset2_spec1d = cubeviz.specviz.get_spectra("Subset 2")

2D Images and 3D Data Cubes

2D images and 3D data cubes can be extracted from their respective viewers <cubeviz-viewers>. The viewer options in the Cubeviz configuration are flux-viewer, uncert-viewer, and mask-viewer. For example, to list the data available in a particular viewer::

mydata = cubeviz.app.get_data_from_viewer("flux-viewer")

To extract the data you want (replace "data_name" with the name of your data):

mydata = cubeviz.app.get_data_from_viewer("uncert-viewer", "data_name")

The data is returned as a glue-jupyter object. To convert to a numpy array:

mydata_flux = mydata["flux"]

To retrieve the data cube as a specutils.Spectrum1D object, you can do the following:

from specutils import Spectrum1D
mydata.get_object(cls=Spectrum1D, statistic=None)

Alternatively, you can wrap this all into a single command:

mydata = cubeviz.app.get_data_from_viewer("uncert-viewer", "data_name")

Data can also be accessed directly from data_collection using the following code:

cubeviz.app.data_collection[0]

Which is returned as a ~glue.core.data.Data object. The ~glue.core.data_collection.DataCollection object can be indexed to return all available data (i.e., not just using 0 like in the previous example).

Model Fits

For a list of model labels:

models = cubeviz.get_models()
models

Once you know the model labels, to get a specific model:

mymodel = cubeviz.get_models(model_label="ModelLabel", x=10)

To extract all of the model parameters:

myparams = cubeviz.get_model_parameters(model_label="ModelLabel", x=x, y=y)
myparams

where the model_label parameter identifies which model should be returned and the x and y parameters identify specifically which spaxel fits are to be returned, for models applied to every spaxel using the Apply to Cube button. Leaving x or y as None will mean that the models fit to every spaxel across that axis will be returned.