def gcpd2phot(source,
results,
units,
master=None,
e_flag='e_',
q_flag='q_',
extra_fields=None):
"""
Convert/combine GCPD record arrays to measurement record arrays.
Every line in the combined array represents a measurement in a certain band.
The standard columns are:
1. C{meas}: containing the photometric measurement
2. C{e_meas}: the error on the photometric measurement
3. C{flag}: an optional quality flag
4. C{unit}: the unit of the measurement
5. C{photband}: the photometric passband (FILTER.BAND)
6. C{source}: name of the source catalog
If you give a C{master}, the information will be added to a previous
record array. If not, a new master will be created.
Colors will be expanded, derived from the other columns and added to the
master.
The result is a record array with each row a measurement.
Extra fields are not available for the GCPD, they will be filled in with
nans.
@param source: name of the VizieR source
@type source: str
@param results: results from VizieR C{search}
@type results: record array
@param units: header of Vizier catalog with key name the column name and
key value the units of that column
@type units: dict
@param master: master record array to add information to
@type master: record array
@param e_flag: flag denoting the error on a column
@type e_flag: str
@param q_flag: flag denoting the quality of a measurement
@type q_flag: str
@param extra_fields: any extra columns you want to add information from
@type extra_fields: list of str
@return: array with each row a measurement
@rtype: record array
"""
if cat_info.has_option(source, 'e_flag'):
e_flag = cat_info.get(source, 'e_flag')
#-- basic dtypes
dtypes = [('meas', 'f8'), ('e_meas', 'f8'), ('flag', 'U20'),
('unit', 'U30'), ('photband', 'U30'), ('source', 'U50')]
#-- extra can be added, but only if a master is already given!! The reason
# is that thre GCPD actually does not contain any extra information, so
# we will never be able to add it and will not know what dtype the extra
# columns should be
#-- extra can be added:
names = list(results.dtype.names)
if extra_fields is not None:
for e_dtype in extra_fields:
dtypes.append((e_dtype, 'f8'))
#-- create empty master if not given
newmaster = False
if master is None or len(master) == 0:
master = np.rec.array(
[tuple([('f' in dt[1]) and np.nan or 'none' for dt in dtypes])],
dtype=dtypes)
newmaster = True
#-- add fluxes and magnitudes to the record array
cols_added = 0
for key in cat_info.options(source):
if key[:2] == 'e_' or key == 'bibcode':
continue
photband = cat_info.get(source, key)
#-- contains measurement, error, quality, units, photometric band and
# source
cols = [
results[key][:1],
(e_flag + key in cat_info.options(source)
and results[cat_info.get(source, e_flag + key)][:1]
or np.ones(len(results[:1])) * np.nan),
(q_flag + key in results.dtype.names and results[q_flag + key][:1]
or np.ones(len(results[:1])) * np.nan),
np.array(len(results[:1]) * [units[key]], str),
np.array(len(results[:1]) * [photband], str),
np.array(len(results[:1]) * ['GCPD'], str)
]
#-- add any extra fields if desired.
if extra_fields is not None:
for e_dtype in extra_fields:
cols += [
e_dtype in results.dtype.names and results[e_dtype][:1]
or np.ones(len(results[:1])) * np.nan
]
#-- add to the master
rows = []
for i in range(len(cols[0])):
rows.append(tuple([col[i] for col in cols]))
master = np.core.records.fromrecords(master.tolist() + rows,
dtype=dtypes)
cols_added += 1
#-- fix colours: we have to run through it two times to be sure to have
# all the colours
N = len(master) - cols_added
master_ = vizier._breakup_colours(master[N:])
for i in range(5):
master_ = vizier._breakup_colours(master_)
#-- combine and return
master = np.core.records.fromrecords(master.tolist()[:N] +
master_.tolist(),
dtype=dtypes)
#-- skip first line from building
if newmaster: master = master[1:]
return master
def mast2phot(source,results,units,master=None,extra_fields=None):
"""
Convert/combine MAST record arrays to measurement record arrays.
Every line in the combined array represents a measurement in a certain band.
This is probably only useful if C{results} contains only information on
one target (or you have to give 'ID' as an extra field, maybe).
The standard columns are:
1. C{meas}: containing the photometric measurement
2. C{e_meas}: the error on the photometric measurement
3. C{flag}: an optional quality flag
4. C{unit}: the unit of the measurement
5. C{photband}: the photometric passband (FILTER.BAND)
6. C{source}: name of the source catalog
You can add extra information from the Mast catalog via the list of keys
C{extra_fields}.
If you give a C{master}, the information will be added to a previous
record array. If not, a new master will be created.
The result is a record array with each row a measurement.
@param source: name of the Mast source
@type source: str
@param results: results from Mast C{search}
@type results: record array
@param units: header of Mast catalog with key name the column name and
key value the units of that column
@type units: dict
@param master: master record array to add information to
@type master: record array
@param extra_fields: any extra columns you want to add information from
@type extra_fields: list of str
@return: array with each row a measurement
@rtype: record array
"""
e_flag = 'e_'
q_flag = 'q_'
#-- basic dtypes
dtypes = [('meas','f8'),('e_meas','f8'),('flag','a20'),
('unit','a30'),('photband','a30'),('source','a50')]
#-- MAST has no unified terminology:
translations = {'kepler/kgmatch':{'_r':"Ang Sep (')",
'_RAJ2000':'KIC RA (J2000)',
'_DEJ2000':'KIC Dec (J2000)'}}
#-- extra can be added:
names = list(results.dtype.names)
if extra_fields is not None:
if source in translations:
translation = translations[source]
else:
translation = {'_r':'_r','_RAJ2000':'_RAJ2000','_DEJ2000':'_DEJ2000'}
for e_dtype in extra_fields:
try:
dtypes.append((e_dtype,results.dtype[names.index(translation[e_dtype])].str))
except ValueError:
if e_dtype != '_r': raise
dtypes.append((e_dtype,results.dtype[names.index('AngSep')].str))
#-- create empty master if not given
newmaster = False
if master is None or len(master)==0:
master = np.rec.array([tuple([('f' in dt[1]) and np.nan or 'none' for dt in dtypes])],dtype=dtypes)
newmaster = True
#-- add fluxes and magnitudes to the record array
cols_added = 0
for key in cat_info.options(source):
if key[:2] in [e_flag,q_flag] or '_unit' in key or key=='bibcode':
continue
photband = cat_info.get(source,key)
#-- contains measurement, error, quality, units, photometric band and
# source
cols = [results[key][:1],
(e_flag+key in cat_info.options(source) and results[cat_info.get(source,e_flag+key)][:1] or np.ones(len(results[:1]))*np.nan),
(q_flag+key in cat_info.options(source) and results[cat_info.get(source,q_flag+key)][:1] or np.ones(len(results[:1]))*np.nan),
np.array(len(results[:1])*[units[key]],str),
np.array(len(results[:1])*[photband],str),
np.array(len(results[:1])*[source],str)]
#-- add any extra fields if desired.
if extra_fields is not None:
for e_dtype in extra_fields:
cols += [e_dtype in results.dtype.names and results[e_dtype][:1] or np.ones(len(results[:1]))*np.nan]
#-- add to the master
rows = []
for i in range(len(cols[0])):
rows.append(tuple([col[i] for col in cols]))
master = np.core.records.fromrecords(master.tolist()+rows,dtype=dtypes)
cols_added += 1
#-- fix colours: we have to run through it two times to be sure to have
# all the colours
N = len(master)-cols_added
master_ = vizier._breakup_colours(master[N:])
master_ = vizier._breakup_colours(master_)
#-- combine and return
master = np.core.records.fromrecords(master.tolist()[:N]+master_.tolist(),dtype=dtypes)
#-- skip first line from building
if newmaster: master = master[1:]
return master
def mast2phot(source, results, units, master=None, extra_fields=None):
"""
Convert/combine MAST record arrays to measurement record arrays.
Every line in the combined array represents a measurement in a certain band.
This is probably only useful if C{results} contains only information on
one target (or you have to give 'ID' as an extra field, maybe).
The standard columns are:
1. C{meas}: containing the photometric measurement
2. C{e_meas}: the error on the photometric measurement
3. C{flag}: an optional quality flag
4. C{unit}: the unit of the measurement
5. C{photband}: the photometric passband (FILTER.BAND)
6. C{source}: name of the source catalog
You can add extra information from the Mast catalog via the list of keys
C{extra_fields}.
If you give a C{master}, the information will be added to a previous
record array. If not, a new master will be created.
The result is a record array with each row a measurement.
@param source: name of the Mast source
@type source: str
@param results: results from Mast C{search}
@type results: record array
@param units: header of Mast catalog with key name the column name and
key value the units of that column
@type units: dict
@param master: master record array to add information to
@type master: record array
@param extra_fields: any extra columns you want to add information from
@type extra_fields: list of str
@return: array with each row a measurement
@rtype: record array
"""
e_flag = 'e_'
q_flag = 'q_'
#-- basic dtypes
dtypes = [('meas', 'f8'), ('e_meas', 'f8'), ('flag', 'a20'),
('unit', 'a30'), ('photband', 'a30'), ('source', 'a50')]
#-- MAST has no unified terminology:
translations = {
'kepler/kgmatch': {
'_r': "Ang Sep (')",
'_RAJ2000': 'KIC RA (J2000)',
'_DEJ2000': 'KIC Dec (J2000)'
}
}
#-- extra can be added:
names = list(results.dtype.names)
if extra_fields is not None:
if source in translations:
translation = translations[source]
else:
translation = {
'_r': '_r',
'_RAJ2000': '_RAJ2000',
'_DEJ2000': '_DEJ2000'
}
for e_dtype in extra_fields:
try:
dtypes.append(
(e_dtype,
results.dtype[names.index(translation[e_dtype])].str))
except ValueError:
if e_dtype != '_r': raise
dtypes.append(
(e_dtype, results.dtype[names.index('AngSep')].str))
#-- create empty master if not given
newmaster = False
if master is None or len(master) == 0:
master = np.rec.array(
[tuple([('f' in dt[1]) and np.nan or 'none' for dt in dtypes])],
dtype=dtypes)
newmaster = True
#-- add fluxes and magnitudes to the record array
cols_added = 0
for key in cat_info.options(source):
if key[:2] in [e_flag, q_flag] or '_unit' in key or key == 'bibcode':
continue
photband = cat_info.get(source, key)
#-- contains measurement, error, quality, units, photometric band and
# source
cols = [
results[key][:1],
(e_flag + key in cat_info.options(source)
and results[cat_info.get(source, e_flag + key)][:1]
or np.ones(len(results[:1])) * np.nan),
(q_flag + key in cat_info.options(source)
and results[cat_info.get(source, q_flag + key)][:1]
or np.ones(len(results[:1])) * np.nan),
np.array(len(results[:1]) * [units[key]], str),
np.array(len(results[:1]) * [photband], str),
np.array(len(results[:1]) * [source], str)
]
#-- add any extra fields if desired.
if extra_fields is not None:
for e_dtype in extra_fields:
cols += [
e_dtype in results.dtype.names and results[e_dtype][:1]
or np.ones(len(results[:1])) * np.nan
]
#-- add to the master
rows = []
for i in range(len(cols[0])):
rows.append(tuple([col[i] for col in cols]))
master = np.core.records.fromrecords(master.tolist() + rows,
dtype=dtypes)
cols_added += 1
#-- fix colours: we have to run through it two times to be sure to have
# all the colours
N = len(master) - cols_added
master_ = vizier._breakup_colours(master[N:])
master_ = vizier._breakup_colours(master_)
#-- combine and return
master = np.core.records.fromrecords(master.tolist()[:N] +
master_.tolist(),
dtype=dtypes)
#-- skip first line from building
if newmaster: master = master[1:]
return master
def gcpd2phot(source,results,units,master=None,e_flag='e_',q_flag='q_',extra_fields=None):
"""
Convert/combine GCPD record arrays to measurement record arrays.
Every line in the combined array represents a measurement in a certain band.
The standard columns are:
1. C{meas}: containing the photometric measurement
2. C{e_meas}: the error on the photometric measurement
3. C{flag}: an optional quality flag
4. C{unit}: the unit of the measurement
5. C{photband}: the photometric passband (FILTER.BAND)
6. C{source}: name of the source catalog
If you give a C{master}, the information will be added to a previous
record array. If not, a new master will be created.
Colors will be expanded, derived from the other columns and added to the
master.
The result is a record array with each row a measurement.
Extra fields are not available for the GCPD, they will be filled in with
nans.
@param source: name of the VizieR source
@type source: str
@param results: results from VizieR C{search}
@type results: record array
@param units: header of Vizier catalog with key name the column name and
key value the units of that column
@type units: dict
@param master: master record array to add information to
@type master: record array
@param e_flag: flag denoting the error on a column
@type e_flag: str
@param q_flag: flag denoting the quality of a measurement
@type q_flag: str
@param extra_fields: any extra columns you want to add information from
@type extra_fields: list of str
@return: array with each row a measurement
@rtype: record array
"""
if cat_info.has_option(source,'e_flag'):
e_flag = cat_info.get(source,'e_flag')
#-- basic dtypes
dtypes = [('meas','f8'),('e_meas','f8'),('flag','a20'),
('unit','a30'),('photband','a30'),('source','a50')]
#-- extra can be added, but only if a master is already given!! The reason
# is that thre GCPD actually does not contain any extra information, so
# we will never be able to add it and will not know what dtype the extra
# columns should be
#-- extra can be added:
names = list(results.dtype.names)
if extra_fields is not None:
for e_dtype in extra_fields:
dtypes.append((e_dtype,'f8'))
#-- create empty master if not given
newmaster = False
if master is None or len(master)==0:
master = np.rec.array([tuple([('f' in dt[1]) and np.nan or 'none' for dt in dtypes])],dtype=dtypes)
newmaster = True
#-- add fluxes and magnitudes to the record array
cols_added = 0
for key in cat_info.options(source):
if key[:2] =='e_' or key=='bibcode':
continue
photband = cat_info.get(source,key)
#-- contains measurement, error, quality, units, photometric band and
# source
cols = [results[key][:1],
(e_flag+key in cat_info.options(source) and results[cat_info.get(source,e_flag+key)][:1] or np.ones(len(results[:1]))*np.nan),
(q_flag+key in results.dtype.names and results[q_flag+key][:1] or np.ones(len(results[:1]))*np.nan),
np.array(len(results[:1])*[units[key]],str),
np.array(len(results[:1])*[photband],str),
np.array(len(results[:1])*['GCPD'],str)]
#-- add any extra fields if desired.
if extra_fields is not None:
for e_dtype in extra_fields:
cols += [e_dtype in results.dtype.names and results[e_dtype][:1] or np.ones(len(results[:1]))*np.nan]
#-- add to the master
rows = []
for i in range(len(cols[0])):
rows.append(tuple([col[i] for col in cols]))
master = np.core.records.fromrecords(master.tolist()+rows,dtype=dtypes)
cols_added += 1
#-- fix colours: we have to run through it two times to be sure to have
# all the colours
N = len(master)-cols_added
master_ = vizier._breakup_colours(master[N:])
for i in range(5):
master_ = vizier._breakup_colours(master_)
#-- combine and return
master = np.core.records.fromrecords(master.tolist()[:N]+master_.tolist(),dtype=dtypes)
#-- skip first line from building
if newmaster: master = master[1:]
return master
