## 1.2 - properties
aux_basesize = bt.shape[0]
aux0 = drop_fields(bt.data.copy(), ['YA_V', 'aFe', 'l_ssp', 'f_ssp'])
for i_av in range(len(av_sampling)):
aux1 = np.array(np.ones(len(bt['sspfile'])) * av_sampling[i_av], dtype=np.dtype([('AV', np.float)]))
aux2 = merge_arrays([aux0, aux1], flatten=True)
if i_av == av_sampling[0]:
aux_prop = db.create_dataset(name = '/tables/properties', shape=(aux_basesize * len(av_sampling),), dtype = aux2.dtype)
aux_prop[i_av * aux_basesize: (i_av+1) * aux_basesize] = aux2
# 2 - Photometry
for filterid in db_f.keys():
for ccd in db_f.get(filterid).keys():
# 2.1 - Read filtercurves
f = readfilterset() # Init filterset object
f.read(filter_file, path='/%s/%s' % (filterid, ccd))
f.calc_filteravgwls()
# db shape
Nz = len(np.arange(z_from, z_to, z_step))
Ngal = aux_basesize * len(av_sampling)
Nl = len(f.filteravgwls)
# 2.2 - Create library
db.create_dataset(name = '/%s/%s/library' % (filterid, ccd), shape = (Nz,Ngal,Nl), dtype = np.dtype([('m_ab', np.float), ('e_ab', np.float)]) )
db.create_dataset(name = '/%s/%s/filtercurves' % (filterid, ccd), data = np.array(f.filterset, dtype=([('ID_filter', '|S32'), ('wl', '<f4'), ('transm', '<f4')])))
aux = np.zeros(shape = len(f.filteravgwls), dtype = ([('ID_filter', '|S32'), ('wl_central', np.float)]))
aux['ID_filter'] = np.unique(f.filterset['ID_filter'])
aux['wl_central'] = f.filteravgwls
db.create_dataset(name = '/%s/%s/filterset' % (filterid, ccd), data = aux)
import atpy
import numpy as np
from bgpe.io.readfilterset import readfilterset
from bgpe.io.hdf5util import inithdf5
if __name__ == "__main__" and len(sys.argv) > 2:
dbfile = sys.argv[1]
# Init file
db = inithdf5(dbfile)
for filter_file in sys.argv[2:]:
aux_id = os.path.basename(filter_file).split(".")
f = readfilterset()
f.read(filter_file)
for fid in np.unique(f.filterset["ID_filter"]):
dataset = "/%s/%s/%s" % (aux_id[0], aux_id[1], fid)
print dataset
aux = atpy.Table(name=fid)
aux.add_column(name="wl", data=f.filterset["wl"][f.filterset["ID_filter"] == fid])
aux.add_column(name="transm", data=f.filterset["transm"][f.filterset["ID_filter"] == fid])
db.create_dataset(dataset, data=aux.data)
db.close()
else:
print "Usage: %s filterdbfile.hdf5 FilterSet.CCD1.filter FilterSet.CCD2.filter ... FilterSet.CCD#.filter" % sys.argv[
0
]
