#remove bad inds
obs_time = np.delete(obs_time,bad_inds)
all_var = np.delete(all_var,bad_inds)
#put data into big array
all_data = np.empty((len(all_var),47))
all_data[:,:] = -99999
for i,l in zip(range(len(all_var)),level_inds):
all_data[i,l] = all_var[i]
country = ''
while country == '':
try:
country = modules.get_country(np.float64(current_lat),np.float64(current_lon))
except:
pass
# dimensions
root_grp.createDimension('time%s'%(site_count), len(obs_time))
root_grp.createDimension('species%s'%(site_count), len(all_var))
root_grp.createDimension('press%s'%(site_count), 47)
#save out netcdf file
ref = root_grp.createGroup('%s'%(site_name.lower()))
#set variables
times = ref.createVariable('time', 'f8', ('time%s'%(site_count),))
spec = ref.createVariable(species.lower(), 'f4', ('species%s'%(site_count),'press%s'%(site_count)))
p_c = ref.createVariable('pressure_centres', 'f4', ('press%s'%(site_count),))
#check timezone
#if timezone != 'UTC':
# print 'Timezone is not UTC. Is %s'%(timezone)
# fail = 1+'a'
#Remove sites above 1000m from sea level
if np.float64(altitude) >= 1000:
full_exit = True
print 'Site is over 1000m from sea level.'
if full_exit == False:
print 'Site is Valid'
country = ''
while country == '':
try:
country = modules.get_country(np.float64(latitude),np.float64(longitude))
except:
pass
#save out netcdf file
ref = root_grp.createGroup('%s'%(site_ref.lower()))
#set variables
dates = ref.createVariable('date', 'i8', ('date',))
times = ref.createVariable('time', 'i8', ('time',))
spec = ref.createVariable(species.lower(), 'f8', ('species',))
#set group attributes
ref.latitude = np.float64(latitude)
ref.longitude = np.float64(longitude)
#remove bad inds
obs_time = np.delete(obs_time,bad_inds)
all_var = np.delete(all_var,bad_inds)
#put data into big array
all_data = np.empty((len(all_var),47))
all_data[:,:] = -99999
for i,l in zip(range(len(all_var)),level_inds):
all_data[i,l] = all_var[i]
country = ''
while country == '':
try:
country = modules.get_country(np.float64(current_lat),np.float64(current_lon))
except:
pass
# dimensions
root_grp.createDimension('time%s'%(site_count), len(obs_time))
root_grp.createDimension('species%s'%(site_count), len(all_var))
root_grp.createDimension('press%s'%(site_count), 47)
#save out netcdf file
ref = root_grp.createGroup('%s'%(site_name.lower()))
#set variables
times = ref.createVariable('time', 'f8', ('time%s'%(site_count),))
spec = ref.createVariable(species.lower(), 'f4', ('species%s'%(site_count),'press%s'%(site_count)))
p_c = ref.createVariable('pressure_centres', 'f4', ('press%s'%(site_count),))
#check timezone
#if timezone != 'UTC':
# print 'Timezone is not UTC. Is %s'%(timezone)
# fail = 1+'a'
#Remove sites above 1000m from sea level
if np.float64(altitude) >= 1000:
full_exit = True
print 'Site is over 1000m from sea level.'
if full_exit == False:
print 'Site is Valid'
country = ''
while country == '':
try:
country = modules.get_country(np.float64(latitude),
np.float64(longitude))
except:
pass
#save out netcdf file
ref = root_grp.createGroup('%s' % (site_ref.lower()))
#set variables
dates = ref.createVariable('date', 'i8', ('date', ))
times = ref.createVariable('time', 'i8', ('time', ))
spec = ref.createVariable(species.lower(), 'f8', ('species', ))
#set group attributes
ref.latitude = np.float64(latitude)
ref.longitude = np.float64(longitude)
ref.altitude = np.float64(altitude)
all_var = np.delete(all_var,bad_inds)
#calc gregorian time
dt_times = date2num(datetimes, units='hours since 0001-01-01 00:00:00', calendar='gregorian')
#put data into big array
all_data = np.empty((len(all_var),47))
all_data[:,:] = -99999
for i,l in zip(range(len(all_var)),level_inds):
all_data[i,l] = all_var[i]
country = ''
while country == '':
try:
country = modules.get_country(np.float64(lat),np.float64(lon))
except:
pass
# dimensions
root_grp.createDimension('time%s'%(site_count), len(obs_time))
root_grp.createDimension('species%s'%(site_count), len(all_var))
root_grp.createDimension('press%s'%(site_count), 47)
#save out netcdf file
ref = root_grp.createGroup('%s'%(site.lower()))
#set variables
times = ref.createVariable('time', 'f8', ('time%s'%(site_count),))
spec = ref.createVariable(species.lower(), 'f4', ('species%s'%(site_count),'press%s'%(site_count)))
p_c = ref.createVariable('pressure_centres', 'f4', ('press%s'%(site_count),))
#calc gregorian time
dt_times = date2num(datetimes,
units='hours since 0001-01-01 00:00:00',
calendar='gregorian')
#put data into big array
all_data = np.empty((len(all_var), 47))
all_data[:, :] = -99999
for i, l in zip(range(len(all_var)), level_inds):
all_data[i, l] = all_var[i]
country = ''
while country == '':
try:
country = modules.get_country(np.float64(lat),
np.float64(lon))
except:
pass
# dimensions
root_grp.createDimension('time%s' % (site_count), len(obs_time))
root_grp.createDimension('species%s' % (site_count), len(all_var))
root_grp.createDimension('press%s' % (site_count), 47)
#save out netcdf file
ref = root_grp.createGroup('%s' % (site.lower()))
#set variables
times = ref.createVariable('time', 'f8',
('time%s' % (site_count), ))
spec = ref.createVariable(species.lower(), 'f4',
