rio module

class rio.load(fname, verbose=False, data_segments_name='datasegments', vetoes_name='vetoes')

Bases: UserDict

found_injections()

has_key(k)

items() → a set-like object providing a view on D's items

itertable(table)

keys() → a set-like object providing a view on D's keys

missed_injections()

not_analyzed_injections()

values() → an object providing a view on D's values

zl_event_tsv(sort_by={'coinc_inspiral': 'combined_far'}, sngl_inspiral_columns=['snr', 'chisq'], coinc_event_columns=['likelihood'], coinc_inspiral_columns=['end_time', 'end_time_ns', 'mchirp', 'mass'], limit=10, ifos=('H1', 'L1', 'V1', 'K1'))

Iterate over strings representing rows in a tsv table with data given by the arguments to this function

Example:

>>> from gstlal import rio
>>> D = rio.load('H1L1V1-ALL_LLOID-1256655642-732465.sqlite')
>>> with open("blah.tsv", "w") as f:
...     for row in D.zl_event_tsv(limit = 100000000):
...         print (row, file = f)
... 
>>> 

zl_events()