def query_and_read_frame(frame_type, channels, start_time, end_time,
sieve=None, check_integrity=False):
"""Read time series from frame data.
Query for the locatin of physical frames matching the frame type. Return
a time series containing the channel between the given start and end times.
Parameters
----------
frame_type : string
The type of frame file that we are looking for.
channels : string or list of strings
Either a string that contains the channel name or a list of channel
name strings.
start_time : LIGOTimeGPS or int
The gps start time of the time series. Defaults to reading from the
beginning of the available frame(s).
end_time : LIGOTimeGPS or int
The gps end time of the time series. Defaults to the end of the frame.
sieve : string, optional
Selects only frames where the frame URL matches the regular
expression sieve
check_integrity : boolean
Do an expensive checksum of the file before returning.
Returns
-------
Frame Data: TimeSeries or list of TimeSeries
A TimeSeries or a list of TimeSeries, corresponding to the data from
the frame file/cache for a given channel or channels.
Examples
--------
>>> ts = query_and_read_frame('H1_LDAS_C02_L2', 'H1:LDAS-STRAIN',
>>> 968995968, 968995968+2048)
"""
# Allows compatibility with our standard tools
# We may want to place this into a higher level frame getting tool
if frame_type == 'LOSC_STRAIN':
from pycbc.frame.losc import read_strain_losc
if not isinstance(channels, list):
channels = [channels]
data = [read_strain_losc(c[:2], start_time, end_time)
for c in channels]
return data if len(data) > 1 else data[0]
if frame_type == 'LOSC':
from pycbc.frame.losc import read_frame_losc
return read_frame_losc(channels, start_time, end_time)
logging.info('querying datafind server')
paths = frame_paths(frame_type, int(start_time), int(numpy.ceil(end_time)))
logging.info('found files: %s' % (' '.join(paths)))
return read_frame(paths, channels,
start_time=start_time,
end_time=end_time,
sieve=sieve,
check_integrity=check_integrity)
def query_and_read_frame(frame_type, channels, start_time, end_time,
sieve=None, check_integrity=False):
"""Read time series from frame data.
Query for the locatin of physical frames matching the frame type. Return
a time series containing the channel between the given start and end times.
Parameters
----------
frame_type : string
The type of frame file that we are looking for.
channels : string or list of strings
Either a string that contains the channel name or a list of channel
name strings.
start_time : LIGOTimeGPS or int
The gps start time of the time series. Defaults to reading from the
beginning of the available frame(s).
end_time : LIGOTimeGPS or int
The gps end time of the time series. Defaults to the end of the frame.
sieve : string, optional
Selects only frames where the frame URL matches the regular
expression sieve
check_integrity : boolean
Do an expensive checksum of the file before returning.
Returns
-------
Frame Data: TimeSeries or list of TimeSeries
A TimeSeries or a list of TimeSeries, corresponding to the data from
the frame file/cache for a given channel or channels.
Examples
--------
>>> ts = query_and_read_frame('H1_LDAS_C02_L2', 'H1:LDAS-STRAIN',
>>> 968995968, 968995968+2048)
"""
# Allows compatibility with our standard tools
# We may want to place this into a higher level frame getting tool
if frame_type == 'LOSC':
from pycbc.frame.losc import read_frame_losc
return read_frame_losc(channels, start_time, end_time)
logging.info('querying datafind server')
paths = frame_paths(frame_type, int(start_time), int(numpy.ceil(end_time)))
logging.info('found files: %s' % (' '.join(paths)))
return read_frame(paths, channels,
start_time=start_time,
end_time=end_time,
sieve=sieve,
check_integrity=check_integrity)
def query_and_read_frame(frame_type, channels, start_time, end_time):
"""Read time series from frame data.
Query for the locatin of physical frames matching the frame type. Return
a time series containing the channel between the given start and end times.
Parameters
----------
frame_type : string
The type of frame file that we are looking for.
channels : string or list of strings
Either a string that contains the channel name or a list of channel
name strings.
start_time : LIGOTimeGPS or int
The gps start time of the time series. Defaults to reading from the
beginning of the available frame(s).
end_time : LIGOTimeGPS or int
The gps end time of the time series. Defaults to the end of the frame.
Returns
-------
Frame Data: TimeSeries or list of TimeSeries
A TimeSeries or a list of TimeSeries, corresponding to the data from
the frame file/cache for a given channel or channels.
Examples
--------
>>> ts = query_and_read_frame('H1_LDAS_C02_L2', 'H1:LDAS-STRAIN',
>>> 968995968, 968995968+2048)
"""
# Allows compatibility with our standard tools
# We may want to place this into a higher level frame getting tool
if frame_type == 'LOSC':
from pycbc.frame.losc import read_frame_losc
return read_frame_losc(channels, start_time, end_time)
logging.info('querying datafind server')
paths = frame_paths(frame_type, int(start_time), int(end_time))
logging.info('found files: %s' % (' '.join(paths)))
return read_frame(paths,
channels,
start_time=start_time,
end_time=end_time)
