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#
See also
- Export Spatial Regions
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(spectral_subset="Subset 1")
An example without accessing Specviz:
subset1_spec1d = cubeviz.get_data(data_label=flux_data_label,
spatial_subset="Subset 1",
function="mean")
Note that in the above example, the function
keyword is used to tell Cubeviz
how to collapse the flux cube down to a one dimensional spectrum - this is not
necessarily equivalent to the collapsed spectrum in the spectrum viewer, which
may have used a different collapse function.
To get all subsets from the spectrum viewer:
subset1_spec1d = cubeviz.specviz.app.get_subsets()
To access the spatial regions themselves:
regions = cubeviz.get_interactive_regions()
regions
1D Spectra and Spectral Regions#
See also
- Export Spectra
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")
3D Data Cubes#
To extract the entire cube, you can run the following code (replace “data_name” with the name of the data you want to extract):
mydata = cubeviz.get_data(data_label="data_name")
The data is returned as a 3D specutils.Spectrum1D
object.
To write out a specutils.Spectrum1D
cube from Cubeviz
(e.g., a fitted cube from Model Fitting),
where the mask (if available) is as defined in
Spectrum1D masks:
mydata.write("mydata.fits", format="jdaviz-cube")
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.
Markers Table#
All mouseover information in the markers plugin can be exported to an
astropy table
by calling export_table()
(see Accessing Plugin APIs).