class IspraReader():
def __init__(self):
'''
Reads the NetCDF Dataset
'''
# self.filename="/gss/gss_work/DRES_OGS_BiGe/Observations/TIME_RAW_DATA/STATIC/Nutrients/Dataset_Med_Nutrients.nc"
self.filename="/pico/scratch/userexternal/ateruzzi/ispra2013.nc"
self.DataExtractor = IspraExtractor(self.filename)
def StationSelector(self, var, stationname):
'''
Returns a profile list by selecting for
variable (string) and
Cruisename (string)
For variable names see the list in the original file
For station names see the original file
Returns a profile list
'''
return self.DataExtractor.stationSelector(var, stationname)
def Selector(self,var,T_int, region):
'''
Returns a profile list by selecting for
variable (string),
T_int (TimeInterval object)
region (region object)
For variable names see the original file
if var is None only chlorophyll is extracted
'''
if var is None:
Profilelist=list()
for myvar in ['ammonium','chlorophyll a','dissolved oxygen', 'nitrate','orthophosphates','silicate']:
Profilelist.extend(self.DataExtractor.selector(myvar, T_int, region))
sublist = list()
for p in Profilelist:
if not p in sublist: sublist.append(p)
return sublist
else:
return self.DataExtractor.selector(var, T_int, region)
def __init__(self):
'''
Reads the NetCDF Dataset
'''
# self.filename="/gss/gss_work/DRES_OGS_BiGe/Observations/TIME_RAW_DATA/STATIC/Nutrients/Dataset_Med_Nutrients.nc"
self.filename="/pico/scratch/userexternal/ateruzzi/ispra2013.nc"
self.DataExtractor = IspraExtractor(self.filename)