def load_sequence(self, raster_data):
for window, window_data in raster_data.items():
for i, scan_data in enumerate(window_data):
w_data = Data(label=f"{window.replace(' ', '_')}-scan-{i}")
w_data.coords = scan_data.wcs
w_data.add_component(Component(scan_data.data),
f"{window}-scan-{i}")
w_data.meta = scan_data.meta
w_data.style = VisualAttributes(color='#5A4FCF')
self.datasets.append(w_data)
def load_sunpy_map(self, sunpy_map):
sunpy_map_loaded = sunpy.map.Map(sunpy_map)
label = 'sunpy-map-' + sunpy_map_loaded.name
data = Data(label=label)
data.coords = sunpy_map_loaded.wcs # preferred way, preserves more info in some cases
data.meta = sunpy_map_loaded.meta
data.add_component(Component(sunpy_map_loaded.data), sunpy_map_loaded.name)
data.style = VisualAttributes(color='#FDB813', preferred_cmap=sunpy_map.cmap)
self.datasets.append(data)
def _parse_iris_raster(data, label):
result = []
for window, window_data in data.items():
for i, scan_data in enumerate(window_data):
w_data = Data(label=f"{window.replace(' ', '_')}-scan-{i}")
w_data.coords = WCSCoordinates(scan_data.header)
w_data.add_component(Component(scan_data.data),
f"{window}-scan-{i}")
w_data.meta = scan_data.meta
w_data.style = VisualAttributes(color='#5A4FCF')
result.append(w_data)
return result
def load_sji(self, sji):
with fits.open(sji) as hdul:
hdul.verify("fix")
label = hdul[0].header['TDESC1']
data = Data(label=label)
data.coords = WCSCoordinates(hdul[0].header)
data.meta = hdul[0].header
preferred_cmap_name = 'IRIS ' + hdul[0].header['TDESC1'].replace(
'_', ' ')
data.style = VisualAttributes(preferred_cmap=preferred_cmap_name)
data.add_component(Component(hdul[0].data), label)
self.datasets.append(data)
def _parse_sunpy_map(data, label):
"""
Parse SunPy map so that it can be loaded by ``glue``.
"""
scan_map = data
label = label + '-' + scan_map.name
result = Data(label=label)
result.coords = scan_map.wcs # preferred way, preserves more info in some cases
result.add_component(Component(scan_map.data), scan_map.name)
result.meta = scan_map.meta
result.style = VisualAttributes(color='#FDB813',
preferred_cmap=scan_map.cmap)
return result
