start = time.time()
traceObspy.filter("bandpass",
corners=4,
freqmin=0.1,
freqmax=0.4,
zerophase=True)
tsum = tsum + time.time() - start
avgBPSosFilterObspy = tsum / niter
#print("Obspy average time for detrend %e (s)"%(avgDetrendObspy))
tsum = 0
for i in range(niter):
traceObspy.data = a + 1
pct = 5. / 100. / 2.
start = time.time()
traceObspy.taper(pct, type='hamming')
tsum = tsum + time.time() - start
y = traceObspy.data
avgTaperObspy = tsum / niter
tsum = 0
for i in range(niter):
start = time.time()
lfilter(firHamming, 1, a)
tsum = tsum + time.time() - start
avgFirFilterObspy = tsum / niter
tsum = 0
for i in range(niter):
start = time.time()
convolve(a, ramp, 'full')
statsN.delta = sampling_rate_x
statsN.starttime = starttime
statsN.npts = len(traceN.data)
statsN.network = net
statsN.station = stationname
statsN.location = ''
statsN.channel = channelnameN
traceN.stats = statsN
traceN.stats.sac = obspy.core.AttribDict()
traceN.stats.sac.back_azimuth = plottheta # use this as azimuth of station
#---applying filters---#
traceN.filter('bandpass', freqmin=freqmin, freqmax=freqmax)
tN = traceN.stats.starttime
traceN.trim(starttime=tN, endtime=tN + trim_end_time)
traceN.taper(0.05, side='right')
#----------------------#
stemp += Stream(traceN)
# for EW components
statsE = Stats()
statsE.sampling_rate = 1.0 / sampling_rate_z
statsE.delta = sampling_rate_z
statsE.starttime = starttime
statsE.npts = len(traceN.data)
statsE.network = net
statsE.station = stationname
statsE.location = ''
statsE.channel = channelnameE
traceE.stats = statsE
traceE.stats.sac = obspy.core.AttribDict()
