pile

class Pile

Waveform archive lookup, data loading and caching infrastructure.

chopper(tmin=None, tmax=None, tinc=None, tpad=0.0, group_selector=None, trace_selector=None, want_incomplete=True, degap=True, maxgap=5, maxlap=None, keep_current_files_open=False, accessor_id=None, snap=(<built-in function round>, <built-in function round>), include_last=False, load_data=True)

Get iterator for shifting window wise data extraction from waveform archive.

Parameters:

• tmin – start time (default uses start time of available data)
• tmax – end time (default uses end time of available data)
• tinc – time increment (window shift time) (default uses tmax-tmin)
• tpad – padding time appended on either side of the data windows (window overlap is 2*tpad)
• group_selector – filter callback taking TracesGroup objects
• trace_selector – filter callback taking pyrocko.trace.Trace objects
• want_incomplete – if set to False, gappy/incomplete traces are discarded from the results
• degap – whether to try to connect traces and to remove gaps and overlaps
• maxgap – maximum gap size in samples which is filled with interpolated samples when degap is True
• maxlap – maximum overlap size in samples which is removed when degap is True
• keep_current_files_open – whether to keep cached trace data in memory after the iterator has ended
• accessor_id – if given, used as a key to identify different points of extraction for the decision of when to release cached trace data (should be used when data is alternately extracted from more than one region / selection)
• snap – replaces Python’s round() function which is used to determine indices where to start and end the trace data array
• include_last – whether to include last sample
• load_data – whether to load the waveform data. If set to False, traces with no data samples, but with correct meta-information are returned

Returns:

itererator yielding a list of pyrocko.trace.Trace objects for every extracted time window

all(*args, **kwargs)

Shortcut to aggregate chopper() output into a single list.

iter_traces(load_data=False, return_abspath=False, group_selector=None, trace_selector=None)

Iterate over all traces in pile.

Parameters:

• load_data – whether to load the waveform data, by default empty traces are yielded
• return_abspath – if True yield tuples containing absolute file path and pyrocko.trace.Trace objects
• group_selector – filter callback taking TracesGroup objects
• trace_selector – filter callback taking pyrocko.trace.Trace objects

Example; yields only traces, where the station code is ‘HH1’:

test_pile = pile.make_pile('/local/test_trace_directory')
for t in test_pile.iter_traces(
        trace_selector=lambda tr: tr.station=='HH1'):

    print t

snuffle(**kwargs)

Visualize it.

Parameters:

• stations – list of pyrocko.model.Station objects or None
• events – list of pyrocko.model.Event objects or None
• markers – list of pyrocko.gui.snuffler.marker.Marker objects or None
• ntracks – float, number of tracks to be shown initially (default: 12)
• follow – time interval (in seconds) for real time follow mode or None
• controls – bool, whether to show the main controls (default: True)
• opengl – bool, whether to use opengl (default: False)

make_pile(paths=None, selector=None, regex=None, fileformat='mseed', cachedirname=None, show_progress=True)

Create pile from given file and directory names.

Parameters:

• paths – filenames and/or directories to look for traces. If paths is None sys.argv[1:] is used.
• selector – lambda expression taking group dict of regex match object as a single argument and which returns true or false to keep or reject a file
• regex – regular expression which filenames have to match
• fileformat – format of the files (‘mseed’, ‘sac’, ‘kan’, ‘from_extension’, ‘detect’)
• cachedirname – loader cache is stored under this directory. It is created as neccessary.
• show_progress – show progress bar and other progress information