if not opts.input_file:
parser.error('Input filename not provided.')
if (not opts.ra_bin) or (not opts.dec_bin):
parser.error('Number of RA or Dec bins not provided.')
if (opts.ra_bin == 1) and (opts.dec_bin == 1):
parser.error('Number of RA or Dec bins must be greater than one.')
#Check for errors
errors.file_name_error(opts.input_file)
#Read catalogue
print 'Reading data from ' + opts.input_file
if opts.input_type == 'fits':
catalogue = fileio.read_fits(opts.input_file)
else:
catalogue = fileio.read_ascii(opts.input_file)
id = np.array(catalogue[opts.id_col - 1, :])
ra = np.array(catalogue[opts.ra_col - 1, :], dtype="float")
dec = np.array(catalogue[opts.dec_col - 1, :], dtype="float")
z = np.array(catalogue[opts.z_col - 1, :], dtype="float")
if opts.mode == 'phot':
dz = np.array(catalogue[opts.dz_col - 1, :], dtype="float")
#Set bin sizes
if opts.ra_lower == None: opts.ra_lower = min(ra)
if opts.ra_upper == None: opts.ra_upper = max(ra)
if opts.dec_lower == None: opts.dec_lower = min(dec)
if not opts.input_file:
parser.error('Input filename not provided.')
if (not opts.ra_bin) or (not opts.dec_bin):
parser.error('Number of RA or Dec bins not provided.')
if (opts.ra_bin == 1) and (opts.dec_bin == 1):
parser.error('Number of RA or Dec bins must be greater than one.')
#Check for errors
errors.file_name_error(opts.input_file)
#Read catalogue
print 'Reading data from ' + opts.input_file
if opts.input_type == 'fits':
catalogue = fileio.read_fits(opts.input_file)
else:
catalogue = fileio.read_ascii(opts.input_file)
id = np.array(catalogue[opts.id_col - 1, :])
ra = np.array(catalogue[opts.ra_col - 1, :], dtype="float")
dec = np.array(catalogue[opts.dec_col - 1, :], dtype="float")
z = np.array(catalogue[opts.z_col - 1, :], dtype="float")
if opts.mode == 'phot':
dz = np.array(catalogue[opts.dz_col - 1, :], dtype="float")
#Set bin sizes
if opts.ra_lower == None: opts.ra_lower = min(ra)
if opts.ra_upper == None: opts.ra_upper = max(ra)
if opts.dec_lower == None: opts.dec_lower = min(dec)
if not opts.link_r:
parser.error('Transverse linking length not provided.')
if not opts.link_z:
parser.error('Line-of-sight linking length not provided.')
#############
# READ DATA #
#############
#make sure files exit
errors.file_name_error(opts.input_file)
#read input file
print 'Reading file:', opts.input_file
if opts.input_type == 'fits':
data = fileio.read_fits(opts.input_file)
else:
data = fileio.read_ascii(opts.input_file)
################
# SET DEFAULTS #
################
all_gal_z = np.array(data[opts.z_col - 1]).astype('float')
#set redshift limits
if not opts.z_min or not opts.z_max:
if not opts.z_min: opts.z_min = np.min(all_gal_z)
if not opts.z_max: opts.z_max = np.max(all_gal_z)
#restrict data to redshift limits
if not opts.link_r:
parser.error('Transverse linking length not provided.')
if not opts.link_z:
parser.error('Line-of-sight linking length not provided.')
#############
# READ DATA #
#############
#make sure files exit
errors.file_name_error(opts.input_file)
#read input file
print 'Reading file:', opts.input_file
if opts.input_type == 'fits':
data = fileio.read_fits(opts.input_file)
else:
data = fileio.read_ascii(opts.input_file)
################
# SET DEFAULTS #
################
all_gal_z = np.array(data[opts.z_col - 1]).astype('float')
#set redshift limits
if not opts.z_min or not opts.z_max:
if not opts.z_min: opts.z_min = np.min(all_gal_z)
if not opts.z_max: opts.z_max = np.max(all_gal_z)
#restrict data to redshift limits
