[move] pseudo method restituteWFData changed to function restitute_data and moved to dataprocessing
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@ -14,6 +14,7 @@ from pylot.core.util.utils import getPatternLine
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from scipy.optimize import curve_fit
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from scipy import integrate, signal
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from pylot.core.io.data import Data
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from pylot.core.util.dataprocessing import restitute_data
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class Magnitude(object):
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@ -354,7 +355,7 @@ def calcsourcespec(wfstream, onset, inventory, vp, delta, azimuth, incidence, Qp
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data = Data()
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wf_copy = wfstream.copy()
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[cordat, restflag] = data.restituteWFData(inventory, wf_copy)
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[cordat, restflag] = restitute_data(wf_copy, inventory)
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if restflag == 1:
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zdat = cordat.select(component="Z")
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if len(zdat) == 0:
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@ -2,12 +2,10 @@
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# -*- coding: utf-8 -*-
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import copy
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import glob
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import os
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from obspy import read_events, read_inventory
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from obspy import read_events
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from obspy.core import read, Stream, UTCDateTime
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from obspy.core.event import Event
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from obspy.io.xseed import Parser
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from pylot.core.io.phases import readPILOTEvent, picks_from_picksdict, \
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picksdict_from_pilot, merge_picks
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@ -269,139 +267,6 @@ class Data(object):
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"""
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self.get_evt_data().picks = []
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def restituteWFData(self, invdlpath, streams=None):
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"""
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:param invdlpath:
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:param streams:
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:return:
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"""
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restflag = 0
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if streams is None:
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st_raw = self.getWFData()
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st = st_raw.copy()
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else:
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st = streams
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for tr in st:
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# remove underscores
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if len(tr.stats.station) > 3 and tr.stats.station[3] == '_':
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tr.stats.station = tr.stats.station[0:3]
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dlp = '%s/*.dless' % invdlpath
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invp = '%s/*.xml' % invdlpath
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respp = '%s/*.resp' % invdlpath
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dlfile = glob.glob(dlp)
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invfile = glob.glob(invp)
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respfile = glob.glob(respp)
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# check for dataless-SEED file
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if len(dlfile) >= 1:
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print("Found dataless-SEED file(s)!")
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print("Reading meta data information ...")
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for j in range(len(dlfile)):
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print("Found dataless-SEED file %s" % dlfile[j])
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parser = Parser('%s' % dlfile[j])
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for i in range(len(st)):
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# check, whether this trace has already been corrected
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try:
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st[i].stats.processing
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except:
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try:
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print(
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"Correcting %s, %s for instrument response "
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"..." % (st[i].stats.station,
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st[i].stats.channel))
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# get corner frequencies for pre-filtering
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fny = st[i].stats.sampling_rate / 2
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fc21 = fny - (fny * 0.05)
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fc22 = fny - (fny * 0.02)
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prefilt = [0.5, 0.9, fc21, fc22]
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# instrument correction
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st[i].simulate(pre_filt=prefilt,
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seedresp={'filename': parser,
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'date': st[
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i].stats.starttime,
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'units': "VEL"})
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restflag = 1
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except ValueError as e:
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vmsg = '{0}'.format(e)
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print(vmsg)
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else:
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print("Trace has already been corrected!")
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# check for inventory-xml file
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if len(invfile) >= 1:
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print("Found inventory-xml file(s)!")
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print("Reading meta data information ...")
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for j in range(len(invfile)):
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print("Found inventory-xml file %s" % invfile[j])
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inv = read_inventory(invfile[j], format="STATIONXML")
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for i in range(len(st)):
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# check, whether this trace has already been corrected
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try:
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st[i].stats.processing
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except:
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try:
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print("Correcting %s, %s for instrument response "
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"..." % (st[i].stats.station,
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st[i].stats.channel))
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# get corner frequencies for pre-filtering
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fny = st[i].stats.sampling_rate / 2
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fc21 = fny - (fny * 0.05)
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fc22 = fny - (fny * 0.02)
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prefilt = [0.5, 0.9, fc21, fc22]
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# instrument correction
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st[i].attach_response(inv)
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st[i].remove_response(output='VEL',
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pre_filt=prefilt)
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restflag = 1
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except ValueError as e:
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vmsg = '{0}'.format(e)
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print(vmsg)
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else:
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print("Trace has already been corrected!")
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# check for RESP-file
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if len(respfile) >= 1:
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print("Found response file(s)!")
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print("Reading meta data information ...")
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for j in range(len(respfile)):
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print("Found RESP-file %s" % respfile[j])
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for i in range(len(st)):
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# check, whether this trace has already been corrected
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try:
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st[i].stats.processing
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except:
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try:
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print("Correcting %s, %s for instrument response "
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"..." % (st[i].stats.station,
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st[i].stats.channel))
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# get corner frequencies for pre-filtering
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fny = st[i].stats.sampling_rate / 2
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fc21 = fny - (fny * 0.05)
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fc22 = fny - (fny * 0.02)
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prefilt = [0.5, 0.9, fc21, fc22]
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# instrument correction
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seedresp = {'filename': respfile[0],
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'date': st[0].stats.starttime,
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'units': "VEL"}
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st[i].simulate(paz_remove=None, pre_filt=prefilt,
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seedresp=seedresp)
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restflag = 1
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except ValueError as e:
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vmsg = '{0}'.format(e)
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print(vmsg)
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else:
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print("Trace has already been corrected!")
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if len(respfile) < 1 and len(invfile) < 1 and len(dlfile) < 1:
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print("No dataless-SEED file,inventory-xml file nor RESP-file "
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"found!")
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print("Go on processing data without source parameter "
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"determination!")
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return st, restflag
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def get_evt_data(self):
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"""
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@ -17,6 +17,7 @@ from pylot.core.pick.charfuns import CharacteristicFunction
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from pylot.core.pick.charfuns import HOScf, AICcf, ARZcf, ARHcf, AR3Ccf
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from pylot.core.pick.utils import checksignallength, checkZ4S, earllatepicker, \
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getSNR, fmpicker, checkPonsets, wadaticheck
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from pylot.core.util.dataprocessing import restitute_data
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from pylot.core.util.utils import getPatternLine
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from pylot.core.io.data import Data
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from pylot.core.analysis.magnitude import WApp
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@ -564,7 +565,7 @@ def autopickstation(wfstream, pickparam, verbose=False):
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hdat = edat.copy()
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hdat += ndat
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h_copy = hdat.copy()
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[cordat, restflag] = data.restituteWFData(invdir, h_copy)
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[cordat, restflag] = restitute_data(h_copy, invdir)
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# calculate WA-peak-to-peak amplitude
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# using subclass WApp of superclass Magnitude
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if restflag == 1:
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@ -598,7 +599,7 @@ def autopickstation(wfstream, pickparam, verbose=False):
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hdat = edat.copy()
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hdat += ndat
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h_copy = hdat.copy()
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[cordat, restflag] = data.restituteWFData(invdir, h_copy)
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[cordat, restflag] = restitute_data(h_copy, invdir)
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if restflag == 1:
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# calculate WA-peak-to-peak amplitude
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# using subclass WApp of superclass Magnitude
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@ -3,8 +3,10 @@
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import os
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import glob
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from obspy import UTCDateTime
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from obspy import UTCDateTime, read_inventory
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import sys
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from obspy.io.xseed import Parser
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def time_from_header(header):
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"""
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@ -148,6 +150,140 @@ def evt_head_check(root_dir, out_dir = None):
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print(nfiles)
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def restitute_data(data, invdlpath):
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"""
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:param invdlpath:
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:param data:
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:return:
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"""
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restflag = False
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for tr in data:
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# remove underscores
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if len(tr.stats.station) > 3 and tr.stats.station[3] == '_':
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tr.stats.station = tr.stats.station[0:3]
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dlfile = list()
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invfile = list()
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respfile = list()
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inv = dict(dless=dlfile, xml=invfile, resp=respfile)
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if os.path.isfile(invdlpath):
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ext = os.path.splitext(invdlpath)[1].split('.')[1]
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inv[ext] += [invdlpath]
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else:
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for ext in inv.keys():
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inv[ext] += glob.glob1(invdlpath,'*.{}'.format(ext))
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# check for dataless-SEED file
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# TODO ineffective loop -> better concatenate inventory entries and
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# loop over traces
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if len(dlfile) >= 1:
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print("Found dataless-SEED file(s)!")
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print("Reading meta data information ...")
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for j in range(len(dlfile)):
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print("Found dataless-SEED file %s" % dlfile[j])
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parser = Parser('%s' % dlfile[j])
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for i in range(len(data)):
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# check, whether this trace has already been corrected
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try:
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data[i].stats.processing
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except:
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try:
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print(
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"Correcting %s, %s for instrument response "
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"..." % (data[i].stats.station,
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data[i].stats.channel))
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# get corner frequencies for pre-filtering
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fny = data[i].stats.sampling_rate / 2
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fc21 = fny - (fny * 0.05)
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fc22 = fny - (fny * 0.02)
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prefilt = [0.5, 0.9, fc21, fc22]
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# instrument correction
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data[i].simulate(pre_filt=prefilt,
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seedresp={'filename': parser,
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'date': data[
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i].stats.starttime,
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'units': "VEL"})
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restflag = True
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except ValueError as e:
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vmsg = '{0}'.format(e)
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print(vmsg)
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else:
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print("Trace has already been corrected!")
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# check for inventory-xml file
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if len(invfile) >= 1:
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print("Found inventory-xml file(s)!")
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print("Reading meta data information ...")
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for j in range(len(invfile)):
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print("Found inventory-xml file %s" % invfile[j])
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inv = read_inventory(invfile[j], format="STATIONXML")
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for i in range(len(data)):
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# check, whether this trace has already been corrected
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try:
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data[i].stats.processing
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except:
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try:
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print("Correcting %s, %s for instrument response "
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"..." % (data[i].stats.station,
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data[i].stats.channel))
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# get corner frequencies for pre-filtering
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fny = data[i].stats.sampling_rate / 2
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fc21 = fny - (fny * 0.05)
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fc22 = fny - (fny * 0.02)
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prefilt = [0.5, 0.9, fc21, fc22]
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# instrument correction
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data[i].attach_response(inv)
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data[i].remove_response(output='VEL',
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pre_filt=prefilt)
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restflag = True
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except ValueError as e:
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vmsg = '{0}'.format(e)
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print(vmsg)
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else:
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print("Trace has already been corrected!")
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# check for RESP-file
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if len(respfile) >= 1:
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print("Found response file(s)!")
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print("Reading meta data information ...")
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for j in range(len(respfile)):
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print("Found RESP-file %s" % respfile[j])
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for i in range(len(data)):
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# check, whether this trace has already been corrected
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try:
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data[i].stats.processing
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except:
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try:
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print("Correcting %s, %s for instrument response "
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"..." % (data[i].stats.station,
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data[i].stats.channel))
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# get corner frequencies for pre-filtering
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fny = data[i].stats.sampling_rate / 2
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fc21 = fny - (fny * 0.05)
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fc22 = fny - (fny * 0.02)
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prefilt = [0.5, 0.9, fc21, fc22]
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# instrument correction
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seedresp = {'filename': respfile[0],
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'date': data[0].stats.starttime,
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'units': "VEL"}
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data[i].simulate(paz_remove=None, pre_filt=prefilt,
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seedresp=seedresp)
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restflag = True
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except ValueError as e:
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vmsg = '{0}'.format(e)
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print(vmsg)
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else:
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print("Trace has already been corrected!")
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if len(respfile) < 1 and len(invfile) < 1 and len(dlfile) < 1:
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print("No dataless-SEED file,inventory-xml file nor RESP-file "
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"found!")
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print("Go on processing data without source parameter "
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"determination!")
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return data, restflag
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if __name__ == "__main__":
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import doctest
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