Python Stream.copy方法代码示例

# 需要导入模块: from obspy.core.stream import Stream [as 别名]
# 或者: from obspy.core.stream.Stream import copy [as 别名]
def getCatData(date, opt):

    """
    Download data from IRIS or Earthworm waveserver with padding and filter it. This is
    a specialized version getData() for catalog events, pulling a smaller amount of time
    around a known event.

    date: UTCDateTime of known catalog event
    opt: Options object describing station/run parameters
    
    Returns ObsPy stream objects, one for cutting and the other for triggering
    """    
    
    nets = opt.network.split(',')
    stas = opt.station.split(',')
    locs = opt.location.split(',')
    chas = opt.channel.split(',')
    
    if opt.server == "IRIS":
        client = Client("IRIS")
    else:
        client = EWClient(opt.server, opt.port)
        
    st = Stream()
    for n in range(len(stas)):
        try:
            stmp = client.get_waveforms(nets[n], stas[n], locs[n], chas[n],
                    date - opt.atrig, date + 3*opt.atrig)
            stmp = stmp.filter("bandpass", freqmin=opt.fmin, freqmax=opt.fmax,
                corners=2, zerophase=True)
            stmp = stmp.merge(method=1, fill_value='interpolate')
        except (obspy.fdsn.header.FDSNException):
            try: # try again
                stmp = client.get_waveforms(nets[n], stas[n], locs[n], chas[n],
                        date - opt.atrig, date + 3*opt.atrig)
                stmp = stmp.filter("bandpass", freqmin=opt.fmin, freqmax=opt.fmax,
                    corners=2, zerophase=True)
                stmp = stmp.merge(method=1, fill_value='interpolate')
            except (obspy.fdsn.header.FDSNException):
                print('No data found for {0}.{1}'.format(stas[n],nets[n]))
                trtmp = Trace()
                trtmp.stats.sampling_rate = opt.samprate
                trtmp.stats.station = stas[n]
                stmp = Stream().extend([trtmp.copy()])
        # Resample to ensure all traces are same length
        if stmp[0].stats.sampling_rate != opt.samprate:
            stmp = stmp.resample(opt.samprate)
        st.extend(stmp.copy()) 
    
    st = st.trim(starttime=date-opt.atrig, endtime=date+3*opt.atrig, pad=True,
        fill_value=0)
    stC = st.copy() 

    return st, stC

# 需要导入模块: from obspy.core.stream import Stream [as 别名]
# 或者: from obspy.core.stream.Stream import copy [as 别名]
def get_PGMs(tr,args):

   ta=Stream()
   ta=tr.copy()
   ts=tr.copy()


   for i in range(len(ta)):

      m_dis=0
      m_vel=0
      m_acc=0


      #### Displacement
      if abs(max(ta[i])) >= abs(min(ta[i])):
         m_dis=abs(max(ta[i]))
      else:
         m_dis=abs(min(ta[i]))
         
      #### Velocity
      ta[i].data = np.gradient(ta[i].data,ta[i].stats['delta'])
      if abs(max(ta[i])) >= abs(min(ta[i])):
         m_vel=abs(max(ta[i]))
      else:
         m_vel=abs(min(ta[i]))
      ts[i].data = ta[i].data
      
      #### Acceleration
      ta[i].data = np.gradient(ta[i].data,ta[i].stats['delta'])
      if abs(max(ta[i])) >= abs(min(ta[i])):
         m_acc=abs(max(ta[i]))
      else:
         m_acc=abs(min(ta[i]))

      #store obtained pgms
      tr[i].stats['max_dis']  = m_dis
      tr[i].stats['max_vel']  = m_vel
      tr[i].stats['max_acc']  = m_acc

   #define vectrors for Hz, T and G
   sa=args.sa.split(' ')
   spa=[]
   for l in range(len(sa)-1):
        spa.append(0)
   per=[]
   for l in range(len(sa)-1):
        per.append(0)
   ges=[]
   for l in range(len(sa)-1):
        ges.append(0)


   #now for each value of sa convolve with response of pendulum
   for j in range(len(sa)):
      #apply convolution
      if j >= 1:
           tu=ta.copy()
           T=eval(sa[j])*1.0
           D=eval(sa[0])
           Ts = '%5.3f' % (1/T)
           omega = (2 *  3.14159 * T)**2

           paz_sa=cornFreq2Paz(T,damp=D)
           paz_sa['sensitivity'] =omega 
           paz_sa['zeros'] = [] 
           for n in range(len(tu)):
              tu[n].simulate(paz_remove=None,paz_simulate=paz_sa,taper=True, simulate_sensitivity=True, taper_fraction=0.050000000000000003)
           
           
           per[j-1] = Ts
           
 #         #now measure for each i
           for i in range(len(tu)):
              if abs(max(tu[i])) >= abs(min(tu[i])):
                val=abs(max(tu[i]))
              else:
                val=abs(min(tu[i]))

              g=val/9.80665*100
              g='%10.3e' % (g)
              val='%10.3e' % (val)
              #here give spectral acceleration in standard units m/s^2
              # and not in g (suitable only for shakemap, can be
              # later converted
              tr[i]=UpdatePsaHeader(tr[i],j,val)

            
   for i in range(len(tr)):
     tr[i].stats['Tsa'] = per
     
   return tr

# 需要导入模块: from obspy.core.stream import Stream [as 别名]
# 或者: from obspy.core.stream.Stream import copy [as 别名]
print(event.event_descriptions[0]['type'], ': ',event.event_descriptions[0]['text'])

c = arclinkClient(user='[email protected]')

start = event.origins[0].time
print('Origin time: ', start)
end = start + 3600

RLAS = c.get_waveforms(network='BW', station='RLAS', location='', channel='BJZ', starttime=start, endtime=end)

BHE = c.get_waveforms(network='GR', station='WET', location='', channel='BHE', starttime=start, endtime=end)
BHN = c.get_waveforms(network='GR', station='WET', location='', channel='BHN', starttime=start, endtime=end)
BHZ = c.get_waveforms(network='GR', station='WET', location='', channel='BHZ', starttime=start, endtime=end)

AC = Stream(traces=[BHE[0],BHN[0],BHZ[0]])
ac = AC.copy()


# **Remove the instrument responses of the instruments from the recordings + convert units**
# - convert Ring Laser recordings to nrad/s units using a conversion factor
# - remove the seismometer response using poles and zeros + convert from velocity to acceleration [nm/s^2] in one step
# - trim the traces to make sure start- and endtimes match for both instruments

# In[3]:

RLAS.detrend(type='linear')
RLAS[0].data = RLAS[0].data * 1/6.3191 * 1e-3

AC.detrend(type='linear')
AC.taper(max_percentage=0.05)

# 需要导入模块: from obspy.core.stream import Stream [as 别名]
# 或者: from obspy.core.stream.Stream import copy [as 别名]
def getData(tstart, tend, opt):

    """
    Download data from files in a folder, from IRIS, or a Earthworm waveserver
    
    A note on SAC/miniSEED files: as this makes no assumptions about the naming scheme of
    your data files, please ensure that your headers contain the correct SCNL information!

    tstart: UTCDateTime of beginning of period of interest
    tend: UTCDateTime of end of period of interest
    opt: Options object describing station/run parameters
    
    Returns ObsPy stream objects, one for cutting and the other for triggering
    """    
    
    nets = opt.network.split(',')
    stas = opt.station.split(',')
    locs = opt.location.split(',')
    chas = opt.channel.split(',')
    
    st = Stream()
    
    if opt.server == 'SAC' or opt.server == 'miniSEED':
    
        # Generate list of files
        if opt.server == 'SAC':
            flist = list(itertools.chain.from_iterable(glob.iglob(os.path.join(
                root,'*.sac')) for root, dirs, files in os.walk(opt.sacdir)))+list(
                itertools.chain.from_iterable(glob.iglob(os.path.join(
                root,'*.SAC')) for root, dirs, files in os.walk(opt.sacdir)))
        elif opt.server == 'miniSEED':
            flist = list(itertools.chain.from_iterable(glob.iglob(os.path.join(
                root,'*.mseed')) for root, dirs, files in os.walk(opt.mseeddir)))+list(
                itertools.chain.from_iterable(glob.iglob(os.path.join(
                root,'*.MSEED')) for root, dirs, files in os.walk(opt.mseeddir)))
                
        # Determine which subset of files to load based on start and end times and
        # station name; we'll fully deal with stations below
        flist_sub = []
        for f in flist:
            # Load header only
            stmp = obspy.read(f, headonly=True)
            # Check if station is contained in the stas list
            if stmp[0].stats.station in stas:
                # Check if contains either start or end time
                ststart = stmp[0].stats.starttime
                stend = stmp[0].stats.endtime
                if (ststart<=tstart and tstart<=stend) or (ststart<=tend and
                    tend<=stend) or (tstart<=stend and ststart<=tend):
                    flist_sub.append(f)
        
        # Fully load data from file
        stmp = Stream()
        for f in flist_sub:
            tmp = obspy.read(f, starttime=tstart, endtime=tend+opt.maxdt)
            if len(tmp) > 0:
                stmp = stmp.extend(tmp)
    
        # Filter and merge
        stmp = stmp.filter('bandpass', freqmin=opt.fmin, freqmax=opt.fmax, corners=2,
            zerophase=True)
        stmp = stmp.taper(0.05,type='hann',max_length=opt.mintrig)
        for m in range(len(stmp)):
            if stmp[m].stats.sampling_rate != opt.samprate:
                stmp[m] = stmp[m].resample(opt.samprate)
        stmp = stmp.merge(method=1, fill_value=0)
        
        # Only grab stations/channels that we want and in order
        netlist = []
        stalist = []
        chalist = []
        loclist = []
        for s in stmp:
            stalist.append(s.stats.station)
            chalist.append(s.stats.channel)
            netlist.append(s.stats.network)
            loclist.append(s.stats.location)
            
        # Find match of SCNL in header or fill empty
        for n in range(len(stas)):
            for m in range(len(stalist)):
                if (stas[n] in stalist[m] and chas[n] in chalist[m] and nets[n] in
                    netlist[m] and locs[n] in loclist[m]):
                    st = st.append(stmp[m])
            if len(st) == n:
                print("Couldn't find "+stas[n]+'.'+chas[n]+'.'+nets[n]+'.'+locs[n])
                trtmp = Trace()
                trtmp.stats.sampling_rate = opt.samprate
                trtmp.stats.station = stas[n]
                st = st.append(trtmp.copy())
    
    else:   
     
        if '.' not in opt.server:
            client = Client(opt.server)
        else:
            client = EWClient(opt.server, opt.port)
        
        for n in range(len(stas)):
            try:
#.........这里部分代码省略.........