98 lines
3.8 KiB
Python
Executable File
98 lines
3.8 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# small script that creates array maps for each event within a previously generated PyLoT project
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import os
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num_thread = "16"
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os.environ["OMP_NUM_THREADS"] = num_thread
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os.environ["OPENBLAS_NUM_THREADS"] = num_thread
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os.environ["MKL_NUM_THREADS"] = num_thread
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os.environ["VECLIB_MAXIMUM_THREADS"] = num_thread
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os.environ["NUMEXPR_NUM_THREADS"] = num_thread
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os.environ["NUMEXPR_MAX_THREADS"] = num_thread
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import multiprocessing
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import sys
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import glob
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import matplotlib
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matplotlib.use('Qt5Agg')
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sys.path.append(os.path.join('/'.join(sys.argv[0].split('/')[:-1]), '../../..'))
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from PyLoT import Project
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from pylot.core.util.dataprocessing import Metadata
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from pylot.core.util.array_map import Array_map
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import matplotlib.pyplot as plt
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import argparse
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def main(project_file_path, manual=False, auto=True, file_format='png', f_ext='', ncores=None):
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project = Project.load(project_file_path)
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nEvents = len(project.eventlist)
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input_list = []
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print('\n')
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for index, event in enumerate(project.eventlist):
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kwargs = dict(project=project, event=event, nEvents=nEvents, index=index, manual=manual, auto=auto,
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file_format=file_format, f_ext=f_ext)
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input_list.append(kwargs)
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if ncores == 1:
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for item in input_list:
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array_map_worker(item)
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else:
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pool = multiprocessing.Pool(ncores)
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pool.map(array_map_worker, input_list)
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pool.close()
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pool.join()
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def array_map_worker(input_dict):
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event = input_dict['event']
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eventdir = event.path
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print('Working on event: {} ({}/{})'.format(eventdir, input_dict['index'] + 1, input_dict['nEvents']))
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xml_picks = glob.glob(os.path.join(eventdir, f'*{input_dict["f_ext"]}.xml'))
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if not len(xml_picks):
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print('Event {} does not have any picks associated with event file extension {}'.format(eventdir,
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input_dict['f_ext']))
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return
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# check for picks
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manualpicks = event.getPicks()
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autopicks = event.getAutopicks()
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# prepare event and get metadata
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metadata_path = os.path.join(eventdir, 'resp')
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metadata = None
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for pick_type in ['manual', 'auto']:
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if pick_type == 'manual' and (not manualpicks or not input_dict['manual']):
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continue
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if pick_type == 'auto' and (not autopicks or not input_dict['auto']):
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continue
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if not metadata:
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metadata = Metadata(inventory=metadata_path, verbosity=0)
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# create figure to plot on
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fig, ax = plt.subplots(figsize=(15, 9))
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# create array map object
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map = Array_map(None, metadata, parameter=input_dict['project'].parameter, axes=ax,
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width=2.13e6, height=1.2e6, pointsize=25., linewidth=1.0)
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# set combobox to auto/manual to plot correct pick type
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map.comboBox_am.setCurrentIndex(map.comboBox_am.findText(pick_type))
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# add picks to map and save file
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map.refresh_drawings(manualpicks, autopicks)
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fpath_out = os.path.join(eventdir, 'array_map_{}_{}{}.{}'.format(event.pylot_id, pick_type, input_dict['f_ext'],
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input_dict['file_format']))
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fig.savefig(fpath_out, dpi=300.)
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print('Wrote file: {}'.format(fpath_out))
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if __name__ == '__main__':
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cl = argparse.ArgumentParser()
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cl.add_argument('--dataroot', help='Directory containing the PyLoT .plp file', type=str)
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cl.add_argument('--infiles', help='.plp files to use', nargs='+')
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cl.add_argument('--ncores', hepl='Specify number of parallel processes', type=int, default=1)
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args = cl.parse_args()
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for infile in args.infiles:
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main(os.path.join(args.dataroot, infile), f_ext='_correlated_0.03-0.1', ncores=args.ncores)
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