#double check to make sure the mask files match up with the data files
for d,m in zip(datafiles, maskfiles):
[d_stat,d_date,d_type] = d.split('_')
[m_stat,m_date,m_type] = m.split('_')
print 'Checking mask/data match for %s'%(d_date)
if d_date == m_date and d_stat == m_stat:
print 'Check!'
continue
else:
sys.exit("Error: Mask files don't match data files")
#open, altitude resample, and concatenate data and mask files
for d,m in zip(datafiles, maskfiles):
d_temp, data_prod = LNC.lnc_reader(d)
d_realt = LNC.alt_resample(d_temp,altrange)
try:
d_event = pan.concat([d_event,d_realt])
except NameError:
d_event = d_realt
m_temp, data_prod = LNC.lnc_reader(m)
m_realt = LNC.alt_resample(m_temp,altrange)
try:
m_event = pan.concat([m_event,m_realt])
except NameError:
m_event = m_realt
#double check to make sure the mask files match up with the data files
for d, m in zip(datafiles, maskfiles):
[d_stat, d_date, d_type] = d.split('_')
[m_stat, m_date, m_type] = m.split('_')
print 'Checking mask/data match for %s' % (d_date)
if d_date == m_date and d_stat == m_stat:
print 'Check!'
continue
else:
sys.exit("Error: Mask files don't match data files")
#open, altitude resample, and concatenate data and mask files
for d, m in zip(datafiles, maskfiles):
d_temp, data_prod = LNC.lnc_reader(d)
d_realt = LNC.alt_resample(d_temp, altrange)
try:
d_event = pan.concat([d_event, d_realt])
except NameError:
d_event = d_realt
m_temp, data_prod = LNC.lnc_reader(m)
m_realt = LNC.alt_resample(m_temp, altrange)
try:
m_event = pan.concat([m_event, m_realt])
except NameError:
m_event = m_realt
#sort by index to make certain data is in order then set date ranges to match
