357 lines
14 KiB
Python
357 lines
14 KiB
Python
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# class for storing one event data
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class AttSrcRec:
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_id_src = None
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_id_rec = None
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_year = None
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_month = None
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_day = None
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_hour = None
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_min = None
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_sec = None
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_lat = None
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_lon = None
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_dep = None
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_mag = None
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_nrec = None
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_id_event = None
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_data_source = None
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_phase = None
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_epi_dist = None
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_arr_time = None
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_name_rec = None
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def __init__(self,
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id_src = None,
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id_rec = None,
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year = None,
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month = None,
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day = None,
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hour = None,
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_min = None,
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sec = None,
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lat = None,
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lon = None,
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dep = None,
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mag = None,
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nrec = None,
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id_event = None,
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data_source= None,
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phase = None,
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epi_dist = None,
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arr_time = None,
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name_rec = None):
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self._id_src = id_src
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self._id_rec = id_rec
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self._year = year
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self._month = month
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self._day = day
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self._hour = hour
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self._min = _min
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self._sec = sec
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self._lat = lat
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self._lon = lon
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self._dep = dep
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self._mag = mag
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self._nrec = nrec
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self._id_event = id_event
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self._data_source = data_source
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self._phase = phase
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self._epi_dist = epi_dist
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self._arr_time = arr_time
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self._name_rec = name_rec
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def convert_to_pandas_df(event_list):
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# conveert event_list to pandas dataframe
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import pandas as pd
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import datetime
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df_ev = pd.DataFrame()
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list_id_src = []
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list_id_rec = []
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list_year = []
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list_month = []
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list_day = []
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list_hour = []
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list__min = []
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list_sec = []
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list_lat = []
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list_lon = []
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list_dep = []
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list_mag = []
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list_nrec = []
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list_id_event = []
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list_data_source= []
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list_phase = []
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list_epi_dist = []
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list_arr_time = []
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list_name_rec = []
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list_datetime = []
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for ev in event_list:
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list_id_src.append(ev._id_src)
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list_id_rec.append(ev._id_rec)
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list_year.append(ev._year)
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list_month.append(ev._month)
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list_day.append(ev._day)
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list_hour.append(ev._hour)
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list__min.append(ev._min)
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list_sec.append(ev._sec)
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list_lat.append(ev._lat)
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list_lon.append(ev._lon)
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list_dep.append(ev._dep)
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list_mag.append(ev._mag)
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list_nrec.append(ev._nrec)
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list_id_event.append(ev._id_event)
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list_data_source.append(ev._data_source)
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list_phase.append(ev._phase)
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list_epi_dist.append(ev._epi_dist)
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list_arr_time.append(ev._arr_time)
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list_name_rec.append(ev._name_rec)
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try:
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date_this = datetime.datetime(ev._year, ev._month, ev._day, ev._hour, ev._min, int(ev._sec))
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except:
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date_this = None
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list_datetime.append(date_this)
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# convert all the lists to pandas series
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df_ev['id_src'] = pd.Series(list_id_src)
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df_ev['id_rec'] = pd.Series(list_id_rec)
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df_ev['year'] = pd.Series(list_year)
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df_ev['month'] = pd.Series(list_month)
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df_ev['day'] = pd.Series(list_day)
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df_ev['hour'] = pd.Series(list_hour)
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df_ev['min'] = pd.Series(list__min)
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df_ev['sec'] = pd.Series(list_sec)
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df_ev['lat'] = pd.Series(list_lat)
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df_ev['lon'] = pd.Series(list_lon)
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df_ev['dep'] = pd.Series(list_dep)
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df_ev['mag'] = pd.Series(list_mag)
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df_ev['nrec'] = pd.Series(list_nrec)
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df_ev['id_event'] = pd.Series(list_id_event)
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df_ev['data_source']= pd.Series(list_data_source)
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df_ev['phase'] = pd.Series(list_phase)
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df_ev['epi_dist'] = pd.Series(list_epi_dist)
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df_ev['arr_time'] = pd.Series(list_arr_time)
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df_ev['name_rec'] = pd.Series(list_name_rec)
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df_ev['datetime'] = pd.Series(list_datetime)
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return df_ev
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# read file
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def read_src_rec_file(fpath, two_station_names=False, data_source_flag=0, id_src_offset=0, no_epi_dist=False):
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#fpath = "./src_rec_test_out.dat"
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print ("read file: ", fpath)
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event_list = []
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rec_list = []
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with open(fpath, "r") as f:
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lines = f.readlines()
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cc = 0
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nc = 0
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i_src = 0
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# parse
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for iline, line in enumerate(lines):
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#print(line)
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if line.startswith("#"):
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continue
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else:
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if cc == 0:
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try:
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# firstly source line is read
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ll = line.split()
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#src_id = int(ll[0])
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src_id = i_src + id_src_offset
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src_year = int(ll[1])
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src_month = int(ll[2])
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src_day = int(ll[3])
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src_hour = int(ll[4])
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src_min = int(ll[5])
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src_sec = float(ll[6])
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src_lat = float(ll[7])
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src_lon = float(ll[8])
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src_dep = float(ll[9])
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src_mag = float(ll[10])
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src_nrec = int(ll[11])
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src_id_event = ll[12]
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nrec_tmp = src_nrec
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# store source
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if (nrec_tmp != 0):
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#src = AttEvent(src_id, src_year, src_month, src_day, src_hour, src_min, src_sec, src_lat, src_lon, src_dep, src_mag, src_nrec, src_id_event, data_source_flag)
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src = AttSrcRec(src_id, None, src_year, src_month, src_day, src_hour, src_min, src_sec, src_lat, src_lon, src_dep, src_mag, src_nrec, src_id_event, data_source_flag, None, None, None, None)
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event_list.append(src)
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cc+=1
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else:
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pass
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except:
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pass
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else:
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try:
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# read rec line
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ll = line.split()
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if(not two_station_names):
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#src_id = int(ll[0])
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src_id = i_src + id_src_offset
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rec_id = int(ll[1])
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rec_name = ll[2]
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rec_lat = float(ll[3])
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rec_lon = float(ll[4])
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rec_elev = float(ll[5])
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rec_phase = ll[6]
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if no_epi_dist:
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rec_epi_dist = None
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rec_arr_time = float(ll[7])
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else:
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rec_epi_dist = float(ll[7])
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rec_arr_time = float(ll[8])
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else:
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#src_id = int(ll[0])
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src_id = i_src + id_src_offset
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rec_id = int(ll[1])
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rec_name = ll[2] + "_" + ll[3]
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rec_lat = float(ll[4])
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rec_lon = float(ll[5])
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rec_elev = float(ll[6])
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rec_phase = ll[7]
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if no_epi_dist:
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rec_epi_dist = None
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rec_arr_time = float(ll[8])
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else:
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rec_epi_dist = float(ll[8])
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rec_arr_time = float(ll[9])
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# store rec
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#rec = AttArrival(src_id, rec_id, rec_name, rec_lat, rec_lon, rec_elev, rec_phase, rec_epi_dist, rec_arr_time)
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#event_list[i_src].add_rec(rec)
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rec = AttSrcRec(src_id, rec_id, None, None, None, None, None, None, rec_lat, rec_lon, rec_elev, None, None, None, data_source_flag, rec_phase, rec_epi_dist, rec_arr_time, rec_name)
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rec_list.append(rec)
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nc+=1
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except:
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print("error in line: ", iline)
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print("error in line: " + line)
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#return None
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cc+=1
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if cc > nrec_tmp:
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cc = 0
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i_src += 1
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if nc == 0:
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print("error: no rec found")
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# erase last event
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event_list.pop()
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i_src -= 1
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nc = 0
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# return length of event_list
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print("number of events: ", len(event_list))
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print("number of recs: ", len(rec_list))
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df_ev = convert_to_pandas_df(event_list)
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df_rec = convert_to_pandas_df(rec_list)
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return df_ev, df_rec
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def write_src_rec_file(df_events, df_recs, fpath, no_epi_dist=True):
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print ("write file: ", fpath)
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f = open(fpath, 'w')
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import tqdm
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for i in tqdm.tqdm(range(len(df_events))):
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# receivers of this event
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recs_this_ev = df_recs[df_recs['id_src'] == df_events['id_src'].iloc[i]]
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nrecs = len(recs_this_ev)
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f.write("{} {} {} {} {} {} {} {} {} {} {} {} {}\n".format(i,
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df_events['year'].iloc[i],
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df_events['month'].iloc[i],
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df_events['day'].iloc[i],
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df_events['hour'].iloc[i],
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df_events['min'].iloc[i],
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df_events['sec'].iloc[i],
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df_events['lat'].iloc[i],
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df_events['lon'].iloc[i],
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df_events['dep'].iloc[i],
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df_events['mag'].iloc[i],
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nrecs,
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df_events['id_event'].iloc[i]))
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# write receivers
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for j in range(len(recs_this_ev)):
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if no_epi_dist:
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f.write(" {} {} {} {} {} {} {} {}\n".format( i,
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recs_this_ev['id_rec'].iloc[j],
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recs_this_ev['name_rec'].iloc[j],
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recs_this_ev['lat'].iloc[j],
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recs_this_ev['lon'].iloc[j],
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recs_this_ev['dep'].iloc[j],
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recs_this_ev['phase'].iloc[j],
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recs_this_ev['arr_time'].iloc[j]))
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else:
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f.write(" {} {} {} {} {} {} {} {} {}\n".format( i,
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recs_this_ev['id_rec'].iloc[j],
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recs_this_ev['name_rec'].iloc[j],
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recs_this_ev['lat'].iloc[j],
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recs_this_ev['lon'].iloc[j],
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recs_this_ev['dep'].iloc[j],
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recs_this_ev['phase'].iloc[j],
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recs_this_ev['epi_dist'].iloc[j],
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recs_this_ev['arr_time'].iloc[j]))
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#break
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f.close()
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if __name__ == "__main__":
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event_list = read_src_rec_file("./src_rec_test_out.dat")
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print(event_list[0].rec_list[0].name_rec)
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print(event_list[0].rec_list[0].epi_dist)
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print(event_list[0].rec_list[0].arr_time)
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print(event_list[0].rec_list[0].id_rec)
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print(event_list[0].rec_list[0].id_src)
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print(event_list[0].rec_list[0].lat)
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print(event_list[0].rec_list[0].lon)
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print(event_list[0].rec_list[0].dep)
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print(event_list[0].rec_list[0].phase)
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print(event_list[0].rec_list[0].arr_time)
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print(event_list[0].rec_list[1].name_rec)
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print(event_list[0].rec_list[1].arr_time)
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print(event_list[0].rec_list[1].id_rec)
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print(event_list[0].rec_list[1].id_src)
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print(event_list[0].rec_list[1].lat)
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print(event_list[0].rec_list[1].lon)
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print(event_list[0].rec_list[1].dep)
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print(event_list[0].rec_list[1].phase)
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print(event_list[0].rec_list[1].arr_time)
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print(event_list[0].rec_list[2].name_rec)
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print(event_list[0].rec_list[2].epi_dist)
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