def gs9(data, vmin, vmax, percentile, stretch, cmap):
load_plugins()
if cmap is not None:
for cmap_name, cmap_obj in colormaps.members:
if cmap == cmap_name:
cmap = cmap_obj
break
else:
colormaps.add(cmap, cm.get_cmap(cmap))
cmap = cm.get_cmap(cmap)
ga = GlueApplication()
image = ga.new_data_viewer(ImageViewer)
datasets = []
for filename in data:
datasets.append(load_data(filename))
# Add datasets all in one go to do all linking in one pass
ga.add_datasets(datasets)
for d in ga.data_collection:
image.add_data(d)
for layer_state in image.state.layers:
if vmin is not None:
layer_state.v_min = vmin
if vmax is not None:
layer_state.v_min = vmax
if percentile is not None:
choices = ImageLayerState.percentile.get_choices(layer_state)
for choice in choices:
if percentile == choice:
percentile = choice
break
layer_state.percentile = percentile
if stretch is not None:
layer_state.stretch = stretch
if cmap is not None:
layer_state.cmap = cmap
image.viewer_size = (600, 600)
ga.gather_current_tab()
ga.start(maximized=False, size=(1024, 768))
def setup():
ImageViewer.tools.append('solar:pixel_extraction')
ImageViewer.tools.append('timestamp_button')
for name, ctable in sorted(cmlist.items()):
colormaps.add(ctable.name, ctable)
# from glue.viewers.common.qt.tool import CheckableTool
# from glue.viewers.common.qt.tool import Tool
# OD registry for all of my functions
gfncs = OD([])
# plot viewer sizes
big = (900, 650)
small = (600, 400)
# Colormaps
# options: https://matplotlib.org/examples/color/colormaps_reference.html
from glue.config import colormaps
from matplotlib.cm import Paired
colormaps.add('Paired', Paired)
from matplotlib.cm import Dark2
colormaps.add('Dark2', Dark2)
from matplotlib.cm import nipy_spectral
colormaps.add('nipy', nipy_spectral)
from matplotlib.cm import tab20
colormaps.add('nipy', tab20)
# link functions
# @link_function(info="Link 'star_index' to 'other'", output_labels=['other'])
# def sidx_to_other2(sidx):
# other = np.asarray([i[-1] for i in sidx])
# return other