def read_sources_from_numpy_file(npfile):
""" Open a numpy pickle file and read all the new sources into a dictionary
Parameters
----------
npfile : file name
The input numpy pickle file
Returns
-------
tab : `~astropy.table.Table`
"""
srcs = np.load(npfile).flat[0]['sources']
roi = ROIModel()
roi.load_sources(srcs.values())
return roi.create_table()
def read_sources_from_numpy_file(npfile):
""" Open a numpy pickle file and read all the new sources into a dictionary
Parameters
----------
npfile : file name
The input numpy pickle file
Returns
-------
tab : `~astropy.table.Table`
"""
srcs = np.load(npfile).flat[0]['sources']
roi = ROIModel()
roi.load_sources(srcs.values())
return roi.create_table()
def read_sources_from_yaml_file(yamlfile):
""" Open a yaml file and read all the new sources into a dictionary
Parameters
----------
yaml : file name
The input yaml file
Returns
-------
tab : `~astropy.table.Table`
"""
f = open(yamlfile)
dd = yaml.safe_load(f)
srcs = dd['sources']
f.close()
roi = ROIModel()
roi.load_sources(srcs.values())
return roi.create_table()
def read_sources_from_yaml_file(yamlfile):
""" Open a yaml file and read all the new sources into a dictionary
Parameters
----------
yaml : file name
The input yaml file
Returns
-------
tab : `~astropy.table.Table`
"""
f = open(yamlfile)
dd = yaml.load(f)
srcs = dd['sources']
f.close()
roi = ROIModel()
roi.load_sources(srcs.values())
return roi.create_table()
