GaussianSmooth

class jdaviz.configs.default.GaussianSmooth(*args, **kwargs)[source] [edit on github]

Bases: jdaviz.core.template_mixin.TemplateMixin, jdaviz.core.template_mixin.DatasetSelectMixin, jdaviz.core.template_mixin.AddResultsMixin

Public constructor

Attributes Summary

selected_data_is_1d

A boolean (True, False) trait.

selected_mode

A trait for unicode strings.

show_modes

A boolean (True, False) trait.

smooth_modes

An instance of a Python list.

stddev

template_file

Methods Summary

apply_spatial_convolution()

Use astropy convolution machinery to smooth the spatial dimensions of the data cube.

apply_spectral_smooth()

vue_apply([event])

Attributes Documentation

selected_data_is_1d

A boolean (True, False) trait.

selected_mode

A trait for unicode strings.

show_modes

A boolean (True, False) trait.

smooth_modes

An instance of a Python list.

stddev
template_file = ('/home/docs/checkouts/readthedocs.org/user_builds/ricky-jdaviz/envs/update-doc-titles/lib/python3.8/site-packages/jdaviz/configs/default/plugins/gaussian_smooth/gaussian_smooth.py', 'gaussian_smooth.vue')

Methods Documentation

apply_spatial_convolution()[source] [edit on github]

Use astropy convolution machinery to smooth the spatial dimensions of the data cube.

apply_spectral_smooth()[source] [edit on github]
vue_apply(event={})[source] [edit on github]