def extract(self, butler, data, **kwargs):
"""Make a summary table
Parameters
----------
butler : `Butler`
The data butler
data : `dict`
Dictionary (or other structure) contain the input data
kwargs
Used to override default configuration
Returns
-------
dtables : `TableDict`
The resulting data
"""
self.safe_update(**kwargs)
if butler is not None:
self.log.warn("Ignoring butler")
for key, val in data.items():
data[key] = val.replace('_sum.fits', '_stats.fits')
outtable = vstack_tables(data, tablename='biasosstack_stats')
dtables = TableDict()
dtables.add_datatable('biasosstack_sum', outtable)
dtables.make_datatable('runs', dict(runs=sorted(data.keys())))
return dtables
def extract(self, butler, data, **kwargs):
"""Extract data
Parameters
----------
butler : `Butler`
The data butler
data : `dict`
Dictionary (or other structure) contain the input data
kwargs
Used to override default configuration
Returns
-------
dtables : `TableDict`
Output data tables
"""
self.safe_update(**kwargs)
for key, val in data.items():
data[key] = val.replace(self.config.outsuffix,
self.config.insuffix)
# Define the set of columns to keep and remove
# keep_cols = []
# remove_cols = []
outtable = vstack_tables(data, tablename='tmplsuffix_stats')
dtables = TableDict()
dtables.add_datatable('tmplsuffix_sum', outtable)
dtables.make_datatable('runs', dict(runs=sorted(data.keys())))
return dtables
def extract(self, butler, data, **kwargs):
"""Make a summary table of the superbias statistics
Parameters
----------
butler : `Butler`
The data butler
data : `dict`
Dictionary (or other structure) contain the input data
kwargs
Used to override default configuration
Returns
-------
dtables : `TableDict`
The resulting data
"""
self.safe_update(**kwargs)
if butler is not None:
self.log.warn("Ignoring butler")
run_dict = dict(runs=[], rafts=[])
for key, val in sorted(data.items()):
run_dict['runs'].append(key[4:])
run_dict['rafts'].append(key[0:3])
data[key] = val.replace(self.config.filekey, self.config.infilekey)
outtable = vstack_tables(data, tablename='stats')
dtables = TableDict()
dtables.add_datatable('stats', outtable)
dtables.make_datatable('runs', run_dict)
return dtables
def extract(self, butler, data, **kwargs):
"""Extract data
Parameters
----------
butler : `Butler`
The data butler
data : `dict`
Dictionary (or other structure) contain the input data
kwargs
Used to override default configuration
Returns
-------
dtables : `TableDict`
Output data tables
"""
self.safe_update(**kwargs)
run_dict = dict(runs=[], rafts=[])
for key, val in data.items():
run_dict['runs'].append(key[4:])
run_dict['rafts'].append(key[0:3])
data[key] = val.replace(self.config.filekey, self.config.infilekey)
# Define the set of columns to keep and remove
# keep_cols = []
# remove_cols = []
outtable = vstack_tables(data, tablename='dark_current')
dtables = TableDict()
dtables.add_datatable('stats', outtable)
dtables.make_datatable('runs', run_dict)
return dtables
def extract(self, butler, data, **kwargs):
"""Extract data
Parameters
----------
butler : `Butler`
The data butler
data : `dict`
Dictionary (or other structure) contain the input data
kwargs
Used to override default configuration
Returns
-------
dtables : `TableDict`
output data tables
"""
self.safe_update(**kwargs)
for key, val in data.items():
print(key, val)
data[key] = val.replace(self.config.filekey, self.config.infilekey)
# Define the set of columns to keep and remove
# keep_cols = []
# remove_cols = []
outtable = vstack_tables(data, tablename='eo_results')
dtables = TableDict()
dtables.add_datatable('eo_results_run', outtable)
dtables.make_datatable('runs', dict(runs=[self.config.run]))
return dtables
def extract(self, butler, data, **kwargs):
"""Extract the summary data from the PTC analyses
Parameters
----------
butler : `Butler`
The data butler
data : `dict`
Dictionary (or other structure) contain the input data
kwargs
Used to override default configuration
Returns
-------
dtables : `TableDict`
The resulting data
"""
self.safe_update(**kwargs)
if butler is not None:
self.log.warn("Ignoring butler")
if not self.config.skip:
outtable = vstack_tables(data, tablename='ptc_stats')
dtables = TableDict()
dtables.add_datatable('ptc_sum', outtable)
dtables.make_datatable('runs', dict(runs=sorted(data.keys())))
return dtables
