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

1D Spectra and Spectral Regions

2D and 3D Data Cubes

2D and 3D data cubes can be extracted from their respective 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:

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

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

mydata_flux = mydata["flux"]

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

mydata = cubeviz.app.get_data_from_viewer("uncert-viewer", "contents[FLUX]")

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

cubeviz.app.data_collection[0]

Which is returned as a Data object. The 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.