def plot_comb_eig(es):
"""
For each of the given eigenvectors, produce one plot with the eigenvector
and the combined window of all elements.
"""
for e in es:
plt.figure(figsize=(16,5))
plt.plot(e)
combwin =np.ma.masked_array(0.1*(np.sum(normwindows,axis=0)/np.max(np.sum(normwindows,axis=0)))-0.06,mask=np.zeros(7214).astype(bool))
plt.plot(combwin,color='r')
plt.plot(smoothMedian(e,numpix=100.),lw=3,color='k')
plt.xlim(0,7214)
def plot_big_eig(es):
"""
For each of the given eigenvectors, produce one plot with 15 subplots
each of which shows the same eigenvector with different element windows.
es: List of eigenvectors to compare.
"""
for e in es:
med = smoothMedian(e,numpix=100.)
plt.figure(figsize=(16,5*15))
for i in range(len(elems)):
plt.subplot2grid((15,1),(i,0))
plt.plot(e)
plt.plot(med,lw=3,color='k')
plt.xlim(0,7214)
plt.yticks([])
plt.plot(0.1*(normwindows[i]/np.max(normwindows[i]))-0.06,color='r')
if i!=len(elems):
plt.xticks([])
