SpecvizProfileView

class jdaviz.configs.specviz.plugins.viewers.SpecvizProfileView(*args, **kwargs)

Bases: JdavizViewerMixin, BqplotProfileView

Attributes Summary

redshift
spectral_lines
tools_nested

Methods Summary

add_data(data[, color, alpha])	Overrides the base class to add markers for plotting uncertainties and data quality flags.
available_linelists()
clean()
data([cls])
erase_spectral_lines([name, name_rest, ...])	Erase either all spectral lines, all spectral lines sharing the same name (e.g.
get_scales()
load_line_list(line_table[, replace, ...])
on_mouse_or_key_event(data)
plot_spectral_line(line[, plot_units])
plot_spectral_lines([colors])	Plots a user-provided astropy table of spectral lines in the viewer.
set_plot_axes()
show_mask()

Attributes Documentation

redshift

spectral_lines = None

tools_nested = [['jdaviz:homezoom', 'jdaviz:prevzoom'], ['jdaviz:boxzoom', 'jdaviz:xrangezoom'], ['jdaviz:panzoom', 'jdaviz:panzoom_x', 'jdaviz:panzoom_y'], ['bqplot:xrange'], ['jdaviz:selectline'], ['jdaviz:sidebar_plot', 'jdaviz:sidebar_export']]

Methods Documentation

add_data(data, color=None, alpha=None, **layer_state)

Overrides the base class to add markers for plotting uncertainties and data quality flags.

Parameters

spectrumglue.core.data.Data

Data object with the spectrum.

colorobj

Color value for plotting.

alphafloat

Alpha value for plotting.

Returns

resultbool

True if successful, False otherwise.

available_linelists()

clean()

data(cls=None)

erase_spectral_lines(name=None, name_rest=None, show_none=True)

Erase either all spectral lines, all spectral lines sharing the same name (e.g. ‘He II’) or a specific name-rest value combination (e.g. ‘HE II 1640.5’, stored in SpectralLine as ‘table_index’).

get_scales()

load_line_list(line_table, replace=False, return_table=False, show=True)

on_mouse_or_key_event(data)

plot_spectral_line(line, plot_units=None, **kwargs)

plot_spectral_lines(colors=['blue'], **kwargs)

Plots a user-provided astropy table of spectral lines in the viewer.

set_plot_axes()

show_mask()