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

import warnings

from astropy import units as u
from glue.core.message import (DataCollectionAddMessage,
                               DataCollectionDeleteMessage)
from glue.core import Data
from glue.core.link_helpers import LinkSame
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, SpectralSubsetSelectMixin

__all__ = ['Collapse']


[docs]@tray_registry('g-collapse', label="Collapse") class Collapse(PluginTemplateMixin, SpectralSubsetSelectMixin): template_file = __file__, "collapse.vue" data_items = List([]).tag(sync=True) selected_data_item = Unicode().tag(sync=True) funcs = List(['Mean', 'Median', 'Min', 'Max', 'Sum']).tag(sync=True) selected_func = Unicode('Sum').tag(sync=True) # selected_viewer for spatial-spatial image. # NOTE: this is currently cubeviz-specific so will need to be updated # to be config-specific if using within other viewer configurations. viewer_to_id = {'Left': 'cubeviz-0', 'Center': 'cubeviz-1', 'Right': 'cubeviz-2'} viewers = List(['None', 'Left', 'Center', 'Right']).tag(sync=True) selected_viewer = Unicode('None').tag(sync=True) spectral_unit = Unicode().tag(sync=True) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.hub.subscribe(self, DataCollectionAddMessage, handler=self._on_data_updated) self.hub.subscribe(self, DataCollectionDeleteMessage, handler=self._on_data_updated) self._selected_data = None self._selected_cube = None self._label_counter = 0 def _on_data_updated(self, msg): self.data_items = [x.label for x in self.data_collection] # Default to selecting the first loaded cube if self._selected_data is None: for i in range(len(self.data_items)): try: self.selected_data_item = self.data_items[i] except (ValueError, TypeError): continue @observe('selected_data_item') def _on_data_item_selected(self, event): data_label = event['new'] if data_label not in self.data_collection.labels: return self._selected_data = self.data_collection[self.data_collection.labels.index(data_label)] self._selected_cube = self._selected_data.get_object(cls=Spectrum1D, statistic=None) self.spectral_unit = self._selected_cube.spectral_axis.unit.to_string()
[docs] def vue_collapse(self, *args, **kwargs): # Collapsing over the spectral axis. Cut out the desired spectral # region. Defaults to the entire spectrum. spec_min = float(self.spectral_subset.selected_min(self._selected_cube)) * u.Unit(self.spectral_unit) # noqa spec_max = float(self.spectral_subset.selected_max(self._selected_cube)) * u.Unit(self.spectral_unit) # noqa with warnings.catch_warnings(): warnings.filterwarnings('ignore', message='No observer defined on WCS') spec = spectral_slab(self._selected_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._label_counter += 1 label = f"Collapsed {self._label_counter} {self._selected_data.label}" data.meta["Plugin"] = "Collapse" self.app.add_data(data, label) self._link_collapse_data() snackbar_message = SnackbarMessage( f"Data set '{self._selected_data.label}' collapsed successfully.", color="success", sender=self) self.hub.broadcast(snackbar_message) # Spatial-spatial image only. if self.selected_viewer != 'None': # replace the contents in the selected viewer with the results from this plugin self.app.add_data_to_viewer(self.viewer_to_id.get(self.selected_viewer), label, clear_other_data=True)
def _link_collapse_data(self): """ Link the new dataset pixel-wise to the original dataset. In general direct pixel to pixel links are the most efficient and should be used in cases like this where we know there is a 1-to-1 mapping of pixel coordinates. """ new_len = len(self.app.data_collection) pc_new = self.app.data_collection[-1].pixel_component_ids # Link to the first dataset with compatible coordinates for i in range(new_len - 1): pc_old = self.app.data_collection[i].pixel_component_ids # If data_collection[i] is also from the collapse plugin if ("Plugin" in self.app.data_collection[i].meta and self.app.data_collection[i].meta["Plugin"] == "Collapse"): links = [LinkSame(pc_old[0], pc_new[0]), LinkSame(pc_old[1], pc_new[1])] # Else, link collapse data to cube (pc_old) else: links = [[LinkSame(pc_new[1], pc_old[2]), LinkSame(pc_new[0], pc_old[1])]] self.app.data_collection.add_link(links) break