pycbc.frame package

Submodules

pycbc.frame.frame module

This modules contains functions for reading in data from frame files or caches

pycbc.frame.frame.read_frame(location, channels, start_time=None, end_time=None, duration=None, check_integrity=False, sieve=None)[source]

Read time series from frame data.

Using the location, which can either be a frame file “.gwf” or a frame cache “.gwf”, read in the data for the given channel(s) and output as a TimeSeries or list of TimeSeries.

Parameters:
  • location (string) – A source of gravitational wave frames. Either a frame filename (can include pattern), a list of frame files, or frame cache file.
  • channels (string or list of strings) – Either a string that contains the channel name or a list of channel name strings.
  • start_time ({None, LIGOTimeGPS}, optional) – The gps start time of the time series. Defaults to reading from the beginning of the available frame(s).
  • end_time ({None, LIGOTimeGPS}, optional) – The gps end time of the time series. Defaults to the end of the frame. Note, this argument is incompatible with duration.
  • duration ({None, float}, optional) – The amount of data to read in seconds. Note, this argument is incompatible with end.
  • check_integrity ({True, bool}, optional) – Test the frame files for internal integrity.
  • sieve (string, optional) – Selects only frames where the frame URL matches the regular expression sieve
Returns:

Frame Data – A TimeSeries or a list of TimeSeries, corresponding to the data from the frame file/cache for a given channel or channels.
Return type:

TimeSeries or list of TimeSeries
pycbc.frame.frame.frame_paths(frame_type, start_time, end_time, server=None, url_type='file')[source]

Return the paths to a span of frame files

Parameters:
  • frame_type (string) – The string representation of the frame type (ex. ‘H1_ER_C00_L1’)
  • start_time (int) – The start time that we need the frames to span.
  • end_time (int) – The end time that we need the frames to span.
  • server ({None, SERVER:PORT string}, optional) – Optional string to specify the datafind server to use. By default an attempt is made to use a local datafind server.
  • url_type (string) – Returns only frame URLs with a particular scheme or head such as “file” or “gsiftp”. Default is “file”, which queries locally stored frames. Option can be disabled if set to None.
Returns:

paths – The list of paths to the frame files.
Return type:

list of paths

Examples

>>> paths = frame_paths('H1_LDAS_C02_L2', 968995968, 968995968+2048)
pycbc.frame.frame.datafind_connection(server=None)[source]

Return a connection to the datafind server

Parameters:server ({SERVER:PORT, string}, optional) – A string representation of the server and port. The port may be ommitted.
Returns:The open connection to the datafind server.
Return type:connection
pycbc.frame.frame.query_and_read_frame(frame_type, channels, start_time, end_time, sieve=None, check_integrity=False)[source]

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 – A TimeSeries or a list of TimeSeries, corresponding to the data from the frame file/cache for a given channel or channels.
Return type:

TimeSeries or list of TimeSeries

Examples

>>> ts = query_and_read_frame('H1_LDAS_C02_L2', 'H1:LDAS-STRAIN',
>>>                               968995968, 968995968+2048)

pycbc.frame.losc module

This modules contains functions for getting data from the LOSC

pycbc.frame.losc.get_run(time)[source]
pycbc.frame.losc.losc_frame_json(ifo, start_time, end_time)[source]

Get the information about the public data files in a duration of time

Parameters:
  • ifo (str) – The name of the IFO to find the information about.
  • start_time (int) – The gps time in GPS seconds
  • end_time (int) – The end time in GPS seconds
Returns:

info – A dictionary containing information about the files that span the requested times.
Return type:

dict
pycbc.frame.losc.losc_frame_urls(ifo, start_time, end_time)[source]

Get a list of urls to losc frame files

Parameters:
  • ifo (str) – The name of the IFO to find the information about.
  • start_time (int) – The gps time in GPS seconds
  • end_time (int) – The end time in GPS seconds
Returns:

frame_files – A dictionary containing information about the files that span the requested times.
Return type:

list
pycbc.frame.losc.read_frame_losc(channels, start_time, end_time)[source]

Read channels from losc data

Parameters:
  • channels (str or list) – The channel name to read or list of channel names.
  • start_time (int) – The gps time in GPS seconds
  • end_time (int) – The end time in GPS seconds
Returns:

ts – Returns a timeseries or list of timeseries with the requested data.
Return type:

TimeSeries
pycbc.frame.losc.read_strain_losc(ifo, start_time, end_time)[source]

Get the strain data from the LOSC data

Parameters:
  • ifo (str) – The name of the IFO to read data for. Ex. ‘H1’, ‘L1’, ‘V1’
  • start_time (int) – The gps time in GPS seconds
  • end_time (int) – The end time in GPS seconds
Returns:

ts – Returns a timeseries with the strain data.
Return type:

TimeSeries

pycbc.frame.store module

This modules contains functions for reading in data from hdf stores

pycbc.frame.store.read_store(fname, channel, start_time, end_time)[source]

Read time series data from hdf store

Parameters:
  • fname (str) – Name of hdf store file
  • channel (str) – Channel name to read
  • start_time (int) – GPS time to start reading from
  • end_time (int) – GPS time to end time series
Returns:

ts – Time series containing the requested data
Return type:

pycbc.types.TimeSeries

Module contents

pycbc.frame.flag_names_to_bitmask(flags)[source]

Takes a list of flag names corresponding to bits in a status channel and returns the corresponding bit mask.