Source code for jdaviz.configs.default.plugins.collapse.collapse

import warnings

from glue.core import Data
from specutils import Spectrum1D
from specutils.manipulation import spectral_slab
from traitlets import List, Unicode, observe

from jdaviz.core.events import SnackbarMessage
from jdaviz.core.registries import tray_registry
from jdaviz.core.template_mixin import (PluginTemplateMixin,
                                        DatasetSelectMixin,
                                        SpectralSubsetSelectMixin,
                                        AddResultsMixin)

__all__ = ['Collapse']


[docs]@tray_registry('g-collapse', label="Collapse") class Collapse(PluginTemplateMixin, DatasetSelectMixin, SpectralSubsetSelectMixin, AddResultsMixin): template_file = __file__, "collapse.vue" funcs = List(['Mean', 'Median', 'Min', 'Max', 'Sum']).tag(sync=True) selected_func = Unicode('Sum').tag(sync=True) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._label_counter = 0 self.dataset.add_filter('is_image') self.add_results.viewer.filters = ['is_image_viewer'] @observe("dataset_selected", "dataset_items") def _set_default_results_label(self, event={}): label_comps = [] if hasattr(self, 'dataset') and len(self.dataset.labels) > 1: label_comps += [self.dataset_selected] label_comps += ["collapsed"] self.results_label_default = " ".join(label_comps)
[docs] def vue_collapse(self, *args, **kwargs): # Collapsing over the spectral axis. Cut out the desired spectral # region. Defaults to the entire spectrum. cube = self.dataset.get_object(cls=Spectrum1D, statistic=None) spec_min, spec_max = self.spectral_subset.selected_min_max(cube) with warnings.catch_warnings(): warnings.filterwarnings('ignore', message='No observer defined on WCS') spec = spectral_slab(cube, spec_min, spec_max) # Spatial-spatial image only. collapsed_spec = spec.collapse(self.selected_func.lower(), axis=-1).T # Quantity data = Data() data['flux'] = collapsed_spec.value data.get_component('flux').units = str(collapsed_spec.unit) self.add_results.add_results_from_plugin(data) snackbar_message = SnackbarMessage( f"Data set '{self.dataset_selected}' collapsed successfully.", color="success", sender=self) self.hub.broadcast(snackbar_message)