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Update specnorm_automized.py #2

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32 changes: 32 additions & 0 deletions specnorm_automized.py
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Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,38 @@ def ontype(event):
continuum = splev(wave,spline)
plt.plot(wave,continuum,'r-',lw=2,label='continuum')

#when the user hits 'e', export the spline knotpoints to a file
elif event.key=='e':
cont_pnt_coord = []
for artist in plt.gca().get_children():
if hasattr(artist,'get_label') and artist.get_label()=='cont_pnt':
cont_pnt_coord.append(artist.get_data())
cont_pnt_coord = np.array(cont_pnt_coord)[...,0]
sort_array = np.argsort(cont_pnt_coord[:,0])
x,y = cont_pnt_coord[sort_array].T
X = np.transpose(np.vstack((x,y)))
np.savetxt('spectrum.knotpoints',X,delimiter=' ')
print 'Knotpoints exported'

#when the user hits 'i', import BOTH WAVELENGTH AND FLUX as points to be plotted
if event.key=='i':
name = 'spectrum.knotpoints'
wl,fl = np.loadtxt(name,unpack=True)
plt.plot(wl,fl,'ro',ms=5,picker=5,label='cont_pnt')
print 'Loaded wavelengths and flux'

#when the user hits 'l', import ONLY WAVELENGTH and calculate flux as points to be plotted
if event.key=='l':
name = 'spectrum.knotpoints'
wl,fl = np.loadtxt(name,unpack=True)
for x in wl:
x_low = x-.25
x_up = x+.25
f = flux[(x_low<=wave) & (wave<=x_up)]
y = np.median(f)
plt.plot(x,y,'ro',ms=5,picker=5,label='cont_pnt')
print 'Loaded wavelengths and calculated flux'

# when the user hits 'n' and a spline-continuum is fitted, normalise the
# spectrum
elif event.key=='n':
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