Loading Python Objects

The object loader allows you to load data directly from Python objects in memory.

Supported Object Types

The object loader supports various astronomical data object types:

• Spectrum1D - Individual 1D spectra

• SpectrumCollection - Collections of spectra

• NDData - Generic N-dimensional data

• CCDData - CCD image data

• NumPy arrays (with appropriate metadata)

See Data Formats for information on how to specify the format parameter.

UI Access

v0.1

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Data Menu

×

Control data and subset layer order and visibility for each viewer. Toggle layer visibility, reorder layers by dragging, and manage which data appears in the viewer.

dm = jd.viewers[viewer].data_menu

Learn about API access

Learn more about Data Menu →

Note that the object loader is only available when there is API access (e.g., in Jupyter notebooks), but although there is a UI, requires API access to be functional.

API Access

import jdaviz as jd
from specutils import Spectrum1D
import astropy.units as u
import numpy as np

# Create a spectrum object
wavelength = np.linspace(5000, 6000, 1000) * u.AA
flux = np.random.random(1000) * u.Jy
spec = Spectrum1D(spectral_axis=wavelength, flux=flux)

jd.show()

# Using load() directly
jd.load(spec, format='1D Spectrum')

# Using loaders API
ldr = jd.loaders['object']
ldr.object = spec
ldr.format = '1D Spectrum'
ldr.load()