import vcs
import MV
import Numeric
import cdutil
import genutil
cdms.axis.latitude_aliases.append('Y')
cdms.axis.longitude_aliases.append('X')
cdms.axis.time_aliases.append('T')
f=cdms.open('../example/data2.cdf')
s=f('ssta',time=slice(0,120))
print s.shape
SP=spanlib.SpAn(s)
eof,pc,ev = SP.pca()
print 'Done PCA, doing phases w/o mssa'
print 'Reconstructing no phases'
out = SP.reconstruct()
## phases = spanlib.phases(ffrec)
x=vcs.init()
for i in range(0,out.shape[0],out.shape[0]/10):
x.plot(out[i])
raw_input('map out %i/%i ok?' % ( i+1 , out.shape[0]))
x.clear()
cdms.axis.latitude_aliases.append('Y')
cdms.axis.longitude_aliases.append('X')
cdms.axis.time_aliases.append('T')
f = cdms.open('../example/data2.cdf')
s2 = f('ssta', latitude=(-10, 10), longitude=(110, 180))
s1 = f('ssta', latitude=(-15, 15), longitude=(210, 250))
print 'Data in:', s1.shape, s2.shape
res = spanlib.stackData(s1, s2)
print res[0].shape
SP = spanlib.SpAn(MV.array(res[0]), weights=MV.array(res[1]))
eof, pc, ev = SP.pca()
## for ax in res[3]:
## ax[0]=eof.getAxis(0)
## res2 = spanlib.unStackData(eof,res[1],res[2],res[3])
res3 = steof, stpc, stev = SP.mssa(pca=True)
ffrec = SP.reconstruct()
res4 = spanlib.unStackData(ffrec, res[1], res[2], res[3])
print ffrec
import vcs
# Simply open the netcdf file
print "Open file"
f = cdms.open('data2.cdf')
# Retrieve data
print "Read the whole dataset"
s = f('ssta')
###############################################
# Use spanlib
###############################################
# Create the analysis object
print "Creating SpAn object"
npca = 4
SP = spanlib.SpAn(s, npca=npca)
# Perform a preliminary PCA+MSSA
# (equivalent to simple use SP.mssa(pca=True) later)
print "PCA..."
SP.pca()
eof = SP.pca_eof()
pc = SP.pca_pc()
ev = SP.pca_ev()
f = cdms.open('out.nc', 'w')
f.write(s, extend=False)
f.write(eof)
f.write(pc)
f.write(ev)
f.close()
time = cdms.createAxis(tt,id='time')
time.units = 'months since 2000'
time.designateTime()
var = MV.array(var,copy=0,id='var')
var.units = 'm'
var.long_name = 'My variable'
var.setAxisList([time,lon])
f=cdms.open('var.nc','w')
f.write(var)
f.close()
nmode = 10
span = spanlib.SpAn(var,npca=nmode)
eof = span.pca_eof()
pc = span.pca_pc()
ev = span.pca_ev()
rec= span.pca_rec(imode=-2)
print '+ ev[:3]:',ev[:3]
#print '+ eof sums:',[(thiseof.filled()**2).sum() for thiseof in eof]
print '+ max,min eof:',npy.max(eof[0]),npy.min(eof[0])
print '+ ev sum:',span.pca_ev(sum=True)
print '+ eof[0, :3]:', eof[0, :3]
f=cdms.open(__file__[:-2]+'nc','w')
f.write(var,extend=False)
f.write(eof)