Source code for jdaviz.configs.specviz.helper

import warnings

from astropy import units as u
from astropy.utils.decorators import deprecated
from specutils import SpectralRegion, Spectrum1D

from jdaviz.core.helpers import ConfigHelper
from jdaviz.core.events import RedshiftMessage
from jdaviz.configs.default.plugins.line_lists.line_list_mixin import LineListMixin

__all__ = ['Specviz']


def _apply_redshift_to_spectra(spectra, redshift):

    flux = spectra.flux
    # This is a hack around inability to input separate redshift with
    # a SpectralAxis instance in Spectrum1D
    spaxis = spectra.spectral_axis.value * spectra.spectral_axis.unit
    mask = spectra.mask
    uncertainty = spectra.uncertainty
    output_spectra = Spectrum1D(flux, spectral_axis=spaxis,
                                redshift=redshift, mask=mask,
                                uncertainty=uncertainty)

    return output_spectra


[docs]class Specviz(ConfigHelper, LineListMixin): """Specviz Helper class.""" _default_configuration = "specviz" _default_spectrum_viewer_reference_name = "spectrum-viewer" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) # Listen for new redshifts from the redshift slider self.app.hub.subscribe(self, RedshiftMessage, handler=self._redshift_listener)
[docs] def load_spectrum(self, data, data_label=None, format=None, show_in_viewer=True, concat_by_file=False): """ Loads a data file or `~specutils.Spectrum1D` object into Specviz. Parameters ---------- data : str, `~specutils.Spectrum1D`, or `~specutils.SpectrumList` Spectrum1D, SpectrumList, or path to compatible data file. data_label : str The Glue data label found in the ``DataCollection``. format : str Loader format specification used to indicate data format in `~specutils.Spectrum1D.read` io method. show_in_viewer : bool Show data in viewer(s). concat_by_file : bool If True and there is more than one available extension, concatenate the extensions within each spectrum file passed to the parser and add a concatenated spectrum to the data collection. """ super().load_data(data, parser_reference='specviz-spectrum1d-parser', data_label=data_label, format=format, show_in_viewer=show_in_viewer, concat_by_file=concat_by_file)
[docs] def get_spectra(self, data_label=None, apply_slider_redshift="Warn"): """Returns the current data loaded into the main viewer """ spectra = self.app.get_data_from_viewer( self._default_spectrum_viewer_reference_name, data_label=data_label ) if not apply_slider_redshift: return spectra else: output_spectra = {} # We need to create new Spectrum1D outputs with the redshifts set if data_label is not None: spectra = {data_label: spectra} for key in spectra.keys(): output_spectra[key] = _apply_redshift_to_spectra(spectra[key], self._redshift) if apply_slider_redshift == "Warn": warnings.warn("Applying the value from the redshift " "slider to the output spectra. To avoid seeing this " "warning, explicitly set the apply_slider_redshift " "keyword option to True or False.") if data_label is not None: output_spectra = output_spectra[data_label] return output_spectra
[docs] def get_spectral_regions(self): """ A simple wrapper around the app-level call to retrieve only spectral subsets, which are now returned as SpectralRegions by default. Returns ------- spec_regs : dict Mapping from the names of the subsets to the subsets expressed as `specutils.SpectralRegion` objects. """ return self.app.get_subsets_from_viewer( self._default_spectrum_viewer_reference_name, subset_type="spectral" )
[docs] def x_limits(self, x_min=None, x_max=None): """Sets the limits of the x-axis Parameters ---------- x_min The lower bound of the axis. Can also be a Specutils SpectralRegion x_max The upper bound of the axis """ scale = self.app.get_viewer(self._default_spectrum_viewer_reference_name).scale_x if x_min is None and x_max is None: return scale # Retrieve the spectral axis ref_index = getattr( self.app.get_viewer(self._default_spectrum_viewer_reference_name).state.reference_data, "label", None ) ref_spec = self.get_spectra(ref_index, apply_slider_redshift=False) self._set_scale(scale, ref_spec.spectral_axis, x_min, x_max)
[docs] def y_limits(self, y_min=None, y_max=None): """Sets the limits of the y-axis Parameters ---------- y_min The lower bound of the axis. Can also be a Specutils SpectralRegion y_max The upper bound of the axis """ scale = self.app.get_viewer(self._default_spectrum_viewer_reference_name).scale_y if y_min is None and y_max is None: return scale # Retrieve the flux axis ref_index = self.app.get_viewer( self._default_spectrum_viewer_reference_name ).state.reference_data.label flux_axis = self.get_spectra(ref_index).flux self._set_scale(scale, flux_axis, y_min, y_max)
def _set_scale(self, scale, axis, min_val=None, max_val=None): """Internal helper method to set the bqplot scale Parameters ---------- scale The Bqplot viewer scale axis The Specutils data axis min_val The lower bound of the axis to set. Can also be a Specutils SpectralRegion max_val The upper bound of the axis to set """ if min_val is not None: # If SpectralRegion, set limits to region's lower and upper bounds if isinstance(min_val, SpectralRegion): return self._set_scale(scale, axis, min_val.lower, min_val.upper) # If user's value has a unit, convert it to the current axis' units elif isinstance(min_val, u.Quantity): # Convert user's value to axis' units min_val = min_val.to(axis.unit).value # If auto, set to min axis wavelength value elif min_val == "auto": min_val = min(axis).value scale.min = float(min_val) if max_val is not None: # If user's value has a unit, convert it to the current axis' units if isinstance(max_val, u.Quantity): # Convert user's value to axis' units max_val = max_val.to(axis.unit).value # If auto, set to max axis wavelength value elif max_val == "auto": max_val = max(axis).value scale.max = float(max_val)
[docs] def autoscale_x(self): """Sets the x-axis limits to the min/max of the reference data """ self.x_limits("auto", "auto")
[docs] def autoscale_y(self): """Sets the y-axis limits to the min/max of the reference data """ self.y_limits("auto", "auto")
[docs] def flip_x(self): """Flips the current limits of the x-axis """ scale = self.app.get_viewer(self._default_spectrum_viewer_reference_name).scale_x self.x_limits(x_min=scale.max, x_max=scale.min)
[docs] def flip_y(self): """Flips the current limits of the y-axis """ scale = self.app.get_viewer(self._default_spectrum_viewer_reference_name).scale_y self.y_limits(y_min=scale.max, y_max=scale.min)
[docs] def set_spectrum_tick_format(self, fmt, axis=None): """ Manually set the tick format of one of the axes of the profile viewer. Parameters ---------- fmt : str Format of tick marks in the spectrum viewer. For example, ``'0.1e'`` to set scientific notation or ``'0.2f'`` to turn it off. axis : {0, 1} The spectrum viewer data axis. Axis 1 corresponds to the Y-axis and 0 to the X-axis. """ if axis not in [0, 1]: warnings.warn("Please use either 0 or 1 for the axis value") return # Examples of values for fmt are '0.1e' or '0.2f' self.app.get_viewer( self._default_spectrum_viewer_reference_name ).figure.axes[axis].tick_format = fmt
@deprecated('3.2', alternative='Specviz') class SpecViz(Specviz): """This class is pending deprecation. Please use `Specviz` instead.""" pass