def GPSRead(self,GPSloc):
""" This function will read in the GPS data from ionofiles. It will assign
the class variable GDGPS to the resultant GeoData object.
Input
GPSloc - The directory that holds all of the iono/h5 GeoData files.
Can also be the filename of a mahali gps file
"""
self.numGD+=1
if GPSloc is None:
return
GPSloc = Path(GPSloc).expanduser()
timelim=self.params['timebounds']
TEClist = []
ish5file = GPSloc.is_file() and GPSloc.suffix=='.h5'
if ish5file:
print('Reading in GPS Data')
f = h5py.File(GPSloc, "r", libver='latest')
siteinfo = f['sites'].value
GPSNames = [i[0] for i in siteinfo]
for isite in GPSNames:
try:
TECGD = GeoData(readMahalih5,(GPSloc,isite))
except Exception:
TECGD = read_h5(os.path.join(GPSloc,isite))
if timelim is not None:
TECGD.timereduce(timelim)
if len(TECGD.times)==0:
continue
TEClist.append(TECGD)
self.GPSNames = GPSNames
self.GDGPS = TEClist
print('Finished Reading in GPS Data')
elif GPSloc.is_dir():
print('Reading in GPS Data')
# Read in either iono files or h5 files
TECfiles = GPSloc.glob('*.iono')
funcname = readIonofiles
if len(TECfiles) == 0:
TECfiles = GPSloc.glob('*.h5')
funcname = read_h5_main
for ifile in TECfiles:
TECGD = GeoData(funcname, str(ifile))
if timelim is not None:
TECGD.timereduce(timelim)
if len(TECGD.times)==0:
continue
TEClist.append(TECGD)
# Determine the receiver names
self.GPSNames = [os.path.splitext(os.path.split(i)[-1])[0].split('-')[0] for i in TECfiles]
self.GDGPS = TEClist
print('Finished Reading in GPS Data')
else:
print('GPS path is not a directory')
return
def ISRRead(self,ISRloc):
""" This function will read in the ISR data from SRI files or structured
h5 files for GeoData. It will assign the class variable GDISR to the
resultant GeoData object.
Input
ISRloc - This can be either a file from SRI or an h5 file
thats been pre interpolated. """
if ISRloc is None:
return
ISRloc = Path(ISRloc).expanduser()
if not ISRloc.is_file():
print('ISR Data is not a file')
return
self.numGD+=1
print('Reading in ISR Data')
pnheights= self.params['paramheight']
paramstr = list(set([i[0] for i in pnheights]))
try:
SRIh5 = GeoData(readSRI_h5,(ISRloc,paramstr))
except Exception:
try:
SRIh5 = GeoData.read_h5(ISRloc)
except Exception:
return
dt1ts,dt2ts = self.params['timebounds']
timelist = sp.where((SRIh5.times[:,1]>=dt1ts)&(SRIh5.times[:,0]<=dt2ts))[0]
if len(timelist)==0:
return
SRIh5 = SRIh5.timeslice(timelist)
hset = sp.array([i[1] for i in pnheights])
uh,uhs =sp.unique(hset,return_inverse=True)
uh=uh*1e3
newcoordname = 'WGS84'
if not (SRIh5.coordnames.lower() == newcoordname.lower()):
changed_coords = SRIh5.__changecoords__(newcoordname)
latmin,latmax = [changed_coords[:,0].min(),changed_coords[:,0].max()]
lonmin,lonmax = [changed_coords[:,1].min(),changed_coords[:,1].max()]
latvec = sp.linspace(latmin,latmax,self.params['ISRLatnum'])
lonvec = sp.linspace(lonmin,lonmax,self.params['ISRLonnum'])
LON,LAT = sp.meshgrid(lonvec,latvec)
xycoords = sp.column_stack([LAT.flatten(),LON.flatten()])
# interpolation
ncoords = xycoords.shape[0]
uhall = sp.repeat(uh,ncoords)
coords = sp.tile(xycoords,(len(uh),1))
coords = sp.column_stack((coords,uhall))
SRIh5.interpolate(coords,newcoordname,method='linear')
self.GDISR = SRIh5
print('Finished Reading in ISR Data')
def ASRead(self,ASloc):
""" This function will read in the All sky data from FITS files or structured
h5 files for GeoData.
Input
ASloc - This can be either a directory holding the FITS files or a
h5 file thats been pre interpolated. It will assign the class variable GDAS to the
resultant GeoData object."""
if ASloc is None:
return
ASloc = Path(ASloc).expanduser()
if not ASloc.is_dir() and not ASloc.is_file():
print('All Sky Data cannot be read')
return
self.numGD+=1
print('Reading in All sky data')
wl = str(int(self.params['wl']))
wlstr ='*_0'+wl+'_*.FITS'
interpsavedfile = ASloc/('interp'+wl+'.h5')
reinterp=self.params['reinterp']
timelim=self.params['timebounds']
if self.nointerp:
flist558 = sorted(ASloc.glob(wlstr))
self.GDAS = GeoData(readAllskyFITS,(flist558,
('PKR_DASC_20110112_AZ_10deg.FITS',
'PKR_DASC_20110112_EL_10deg.FITS'),
150.,timelim))
return
if reinterp or not ASloc.is_file():
# pfalla = sp.array([65.136667,-147.447222,689.])
flist558 = sorted(ASloc.glob(wlstr))
if not flist558:
return
allsky_data = GeoData(readAllskyFITS,(flist558,('PKR_DASC_20110112_AZ_10deg.FITS','PKR_DASC_20110112_EL_10deg.FITS'),150.,timelim))
if timelim is not None:
allsky_data.timereduce(timelim)
xcoords = allsky_data.__changecoords__('WGS84')
latlim=[xcoords[:,0].min(),xcoords[:,0].max()]
lonlim=[xcoords[:,1].min(),xcoords[:,1].max()]
nlat = 256
nlon = 256
latvec = sp.linspace(latlim[0],latlim[1],nlat)
lonvec = sp.linspace(lonlim[0],lonlim[1],nlon)
[LATM,LONM] = sp.meshgrid(latvec,lonvec)
newcoords = sp.column_stack((LATM.flatten(),LONM.flatten(),150.*sp.ones(LONM.size)))
allsky_data.interpolate(newcoords,'WGS84',method='linear',twodinterp=True)
allsky_data.write_h5(interpsavedfile)
else:
allsky_data = GeoData.read_h5(ASloc)
if timelim is not None:
allsky_data.timereduce(timelim)
self.GDAS = allsky_data
print('Finished Reading in Allsky Data')