def on_enter(self):
self.speclist = [re.sub('.fits', '', os.path.basename(x)) for x in self.theapp.current_target.images.stack_list]
flist = [x for y in self.speclist for x in glob.iglob(os.path.join(self.paths['out'],y + '-ap*.fits'))]
self.the_specs = [ExtractedSpectrum(x) for x in flist]
self.spec_stack = SpectrumStack(list(self.the_specs))
colors = list(gen_colors(len(self.the_specs)))
for i, ts in enumerate(self.the_specs):
tmp = SpecscrollInsert(text=os.path.basename(flist[i]).replace('.fits',''),
index=i, spectrum=MeshLinePlot(color=colors[i]+(1,)))
tmp.bind(active=self.toggle_spectrum)
if not 'WAVECAL0' in ts.header:
print i,
tmp.active = False
self.scaled_spectra.append([xrange(len(ts.spec)),ts.spec])
tmp.spectrum.points = zip(*self.scaled_spectra[i])
self.spec_inserts.append(tmp)
continue
self.scaled_spectra.append([ts.wav,ts.spec])
tmp.spectrum.points = zip(*self.scaled_spectra[i])
#tmp.bind(active=lambda *x: self.toggle_spectrum(i))
self.ids.multispec.add_plot(tmp.spectrum)
self.spec_inserts.append(tmp)
self.ids.specscroll.add_widget(tmp)
self.setminmax()
self.property('comb_method').dispatch(self)
if not self.combined_spectrum in self.ids.combspec.plots:
self.ids.combspec.add_plot(self.combined_spectrum)
print self.combined_spectrum.color, self.combined_spectrum.points
def set_scale(self, spec):
self.ind = self.speclist.index(spec)
self.spec_stack = SpectrumStack(list(self.the_specs))
self.spec_stack.scale(index=self.ind)
for i, s in enumerate(self.the_specs):
self.spec_inserts[i].spectrum.points = zip(self.spec_stack[i].wav, self.spec_stack[i].spec)
self.property('comb_method').dispatch(self)
self.setminmax()
def set_scale(self, spec):
self.ind = self.speclist.index(spec)
self.spec_stack = SpectrumStack(self.the_specs)
self.spec_stack.scale(index=self.ind)
for i, s in enumerate(self.the_specs):
self.spec_inserts[i].spectrum.points = zip(self.spec_stack[i].x, self.spec_stack[i])
self.comb_method.dispatch()
self.setminmax()
class CombineScreen(IRScreen):
speclist = ListProperty([])
paths = DictProperty({})
wmin = NumericProperty(0)
wmax = NumericProperty(1024)
dmin = NumericProperty(0)
dmax = NumericProperty(1024)
combined_spectrum = ObjectProperty(MeshLinePlot(color=[1,1,1,1]))
the_specs = ListProperty([])
theapp = ObjectProperty(None)
spec_inserts = ListProperty([])
comb_method = StringProperty('median')
scaled_spectra = ListProperty([])
spec_stack = ObjectProperty(None)
def on_enter(self):
self.speclist = [re.sub('.fits', '', os.path.basename(x)) for x in self.theapp.current_target.images.stack_list]
flist = [x for y in self.speclist for x in glob.iglob(os.path.join(self.paths['out'],y + '-ap*.fits'))]
self.the_specs = [ExtractedSpectrum(x) for x in flist]
self.spec_stack = SpectrumStack(list(self.the_specs))
colors = list(gen_colors(len(self.the_specs)))
for i, ts in enumerate(self.the_specs):
tmp = SpecscrollInsert(text=os.path.basename(flist[i]).replace('.fits',''),
index=i, spectrum=MeshLinePlot(color=colors[i]+(1,)))
tmp.bind(active=self.toggle_spectrum)
if not 'WAVECAL0' in ts.header:
print i,
tmp.active = False
self.scaled_spectra.append([xrange(len(ts.spec)),ts.spec])
tmp.spectrum.points = zip(*self.scaled_spectra[i])
self.spec_inserts.append(tmp)
continue
self.scaled_spectra.append([ts.wav,ts.spec])
tmp.spectrum.points = zip(*self.scaled_spectra[i])
#tmp.bind(active=lambda *x: self.toggle_spectrum(i))
self.ids.multispec.add_plot(tmp.spectrum)
self.spec_inserts.append(tmp)
self.ids.specscroll.add_widget(tmp)
self.setminmax()
self.property('comb_method').dispatch(self)
if not self.combined_spectrum in self.ids.combspec.plots:
self.ids.combspec.add_plot(self.combined_spectrum)
print self.combined_spectrum.color, self.combined_spectrum.points
def setminmax(self):
mmx = [map(float, [ts.wav.min(), ts.wav.max(), ts.spec.min(), ts.spec.max()]) \
for i, ts in enumerate(self.the_specs) if self.spec_inserts[i].active]
mmx = zip(*mmx)
self.wmin, self.wmax = min(mmx[0]), max(mmx[1])
self.dmin, self.dmax = min(mmx[2]), max(mmx[3])
def toggle_spectrum(self, instance, active):
if active:
self.ids.multispec.add_plot(instance.spectrum)
else:
self.ids.multispec.remove_plot(instance.spectrum)
self.property('comb_method').dispatch(self)
self.setminmax()
def set_scale(self, spec):
self.ind = self.speclist.index(spec)
self.spec_stack = SpectrumStack(list(self.the_specs))
self.spec_stack.scale(index=self.ind)
for i, s in enumerate(self.the_specs):
self.spec_inserts[i].spectrum.points = zip(self.spec_stack[i].wav, self.spec_stack[i].spec)
self.property('comb_method').dispatch(self)
self.setminmax()
def on_comb_method(self, instance, value):
specs = self.spec_stack.subset([x.active for x in self.spec_inserts])
comb = specs.combine(median=value.lower() == 'median')
self.combined_spectrum.points = zip(comb.wav, comb.spec)
def combine(self):
out = self.ids.savefile.text
h = self.the_specs[self.ind].header
fits.writeto(out, zip(*self.combined_spectrum.points), header=h)
class CombineScreen(IRScreen):
speclist = ListProperty([])
paths = DictProperty({})
wmin = NumericProperty(0)
wmax = NumericProperty(1024)
dmin = NumericProperty(0)
dmax = NumericProperty(1024)
combined_spectrum = ObjectProperty(MeshLinePlot(color=[1,1,1,1]))
the_specs = ListProperty([])
spec_inserts = ListProperty([])
comb_method = StringProperty('median')
scaled_spectra = ListProperty([])
spec_stack = ObjectProperty(None)
def on_enter(self):
flist = [x for y in self.speclist for x in glob.iglob(self.paths['out'] + y + '-ap*.fits')]
self.the_specs = [ExtractedSpectrum(x) for x in flist]
colors = gen_colors(len(self.the_specs))
for i, ts in enumerate(self.the_specs):
tmp = SpecscrollInsert(text=flist[i])
tmp.spectrum.color = colors[i] + (1)
tmp.bind(active=self.toggle_spectrum(i))
if not ts.wav:
tmp.active = False
self.scaled_spectra.append([xrange(len(ts.spec)),ts.spec])
tmp.spectrum.points = zip(*self.scaled_spectra[i])
self.spec_inserts.append(tmp)
continue
self.scaled_spectra.append([ts.wav,ts.spec])
tmp.spectrum.points = zip(*self.scaled_spectra[i])
tmp.bind(active=self.toggle_spectrum(i))
self.ids.multispec.add_plot(tmp.spectrum)
self.spec_inserts.append(tmp)
self.setminmax()
self.comb_method.dispatch()
if not self.combined_spectrum in self.ids.combspec.plots:
self.ids.combspec.add_plot(self.combined_spectrum)
def setminmax(self):
mmx = [[ts.wav.min(), ts.wav.max(), ts.spec.min(), ts.spec.max()] \
for i, ts in enumerate(self.the_specs) if self.spec_inserts[i].active]
mmx = zip(*mmx)
self.wmin, self.wmax = min(mmx[0]), max(mmx[1])
self.dmin, self.dmax = min(mmx[2]), max(mmx[3])
def toggle_spectrum(self, ind):
insert = self.spec_inserts[ind]
if insert.active:
self.ids.multispec.add_plot(insert.spectrum)
else:
self.ids.multispec.remove_plot(insert.spectrum)
self.comb_method.dispatch()
self.setminmax()
def set_scale(self, spec):
self.ind = self.speclist.index(spec)
self.spec_stack = SpectrumStack(self.the_specs)
self.spec_stack.scale(index=self.ind)
for i, s in enumerate(self.the_specs):
self.spec_inserts[i].spectrum.points = zip(self.spec_stack[i].x, self.spec_stack[i])
self.comb_method.dispatch()
self.setminmax()
def on_comb_method(self, instance, value):
specs = self.spec_stack.subset([x.active for x in self.spec_inserts.active])
comb = specs.combine(median=value.lower() == 'median')
self.combined_spectrum.points = zip(comb.x, comb)
def combine(self):
out = self.ids.savefile.text
h = self.the_specs[self.ind].header
fits.writeto(out, zip(*self.combined_spectrum.points), header=h)
