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

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()