def savesac(self): """ Save all data and header variables to an existing or new sacfile. """ if os.path.isfile(self.filename): sacobj = sacfile(self.filename, 'rw') else: sacobj = sacfile(self.filename, 'new') sacobj.stla = 0 sacobj.stlo = 0 sacobj.stel = 0 for hdr in ['b', 'npts', 'data', 'delta', 'gcarc', 'az', 'baz', 'dist', 'kstnm', 'knetwk']: sacobj.__setattr__(hdr, self.__dict__[hdr]) self.savehdrs(sacobj) sacobj.close()
def __init__(self, ifiles, delta=-1):
stadict = {}
saclist = []
for ifile in ifiles:
sacdh = SacDataHdrs(ifile, delta)
stadict[sacdh.netsta] = sacdh.staloc
saclist.append(sacdh)
del sacdh.staloc
self.stadict = stadict
self.saclist = saclist
self.ifiles = ifiles
# get event info
isac = sacfile(ifiles[0], 'ro')
year, jday = isac.nzyear, isac.nzjday
mon, day = jul2date(year, jday)
try:
mag = isac.mag
except:
mag = 0.
self.event = [ year, mon, day, isac.nzhour, isac.nzmin, isac.nzsec+isac.nzmsec*0.001, isac.evla, isac.evlo, isac.evdp*0.001, mag ]
self.idep = isac.idep
self.iztype = isac.iztype
try:
self.kevnm = isac.kevnm
except:
self.kevnm = 'unknown'
isac.close()
if delta > 0:
self.resampleData(delta)
def obj2sac(gsac):
""" Save headers in python objects to SAC files.
"""
for sacdh in gsac.saclist:
sacdh.savesac()
# save more headers
nzyear, mon, day, nzhour, nzmin, nzsec, evla, evlo, evdp, mag = gsac.event
kevnm = gsac.kevnm
idep = gsac.idep
iztype = gsac.iztype
nzjday = date2jul(nzyear, mon, day)
nzmsec = int(round((nzsec - int(nzsec))*1000))
nzsec = int(nzsec)
# evdp *= 1000
# stla, stlo, stel = gsac.stadict[sacdh.netsta]
# stel *= 1000
hdrs = ['nzyear', 'nzjday', 'nzhour', 'nzmin', 'nzsec', 'nzmsec', 'evla', 'evlo', 'evdp', 'mag', ]
# hdrs += ['stla', 'stlo', 'stel' ]
hdrs += ['kevnm', 'idep', 'iztype']
for sacdh in gsac.saclist:
sacobj = sacfile(sacdh.filename, 'rw')
for hdr in hdrs:
sacobj.__setattr__(hdr, eval(hdr))
sacobj.close()
if 'stkdh' in gsac.__dict__:
gsac.stkdh.savesac()
def savesac(self):
""" Save all data and header variables to an existing or new sacfile. """
if os.path.isfile(self.filename):
sacobj = sacfile(self.filename, 'rw')
else:
sacobj = sacfile(self.filename, 'new')
sacobj.stla = 0
sacobj.stlo = 0
sacobj.stel = 0
for hdr in [
'b', 'npts', 'data', 'delta', 'gcarc', 'az', 'baz', 'dist',
'kstnm', 'knetwk'
]:
sacobj.__setattr__(hdr, self.__dict__[hdr])
self.savehdrs(sacobj)
sacobj.close()
def __init__(self, ifiles, delta=-1):
stadict = {}
saclist = []
for ifile in ifiles:
sacdh = SacDataHdrs(ifile, delta)
stadict[sacdh.netsta] = sacdh.staloc
saclist.append(sacdh)
del sacdh.staloc
self.stadict = stadict
self.saclist = saclist
self.ifiles = ifiles
# get event info
isac = sacfile(ifiles[0], 'ro')
year, jday = isac.nzyear, isac.nzjday
mon, day = jul2date(year, jday)
try:
mag = isac.mag
except:
mag = 0.
self.event = [
year, mon, day, isac.nzhour, isac.nzmin,
isac.nzsec + isac.nzmsec * 0.001, isac.evla, isac.evlo,
isac.evdp * 0.001, mag
]
try:
self.kevnm = isac.kevnm
except:
self.kevnm = 'unknown event'
isac.close()
if delta > 0:
self.resampleData(delta)
def writeHdrs(self):
""" Write SAC headers (t_n, user_n, and kuser_n) in python obj to existing SAC file.
"""
# sacobj = sacfile(self.filename+'.sac', 'rw')
sacobj = sacfile(self.filename, 'rw')
self.savehdrs(sacobj)
sacobj.close()
def writeHdrs(self): """ Write SAC headers (t_n, user_n, and kuser_n) in python obj to existing SAC file. """ # sacobj = sacfile(self.filename+'.sac', 'rw') sacobj = sacfile(self.filename, 'rw') self.savehdrs(sacobj) sacobj.close()
def savesac(self):
""" Save all data and header variables to an existing or new sacfile. """
if os.path.isfile(self.filename):
sacobj = sacfile(self.filename, 'rw')
else:
fspl = self.filename.split('/')
if len(fspl) > 1: os.system('mkdir -p '+ '/'.join(fspl[:-1]))
sacobj = sacfile(self.filename, 'new')
sacobj.stla = 0
sacobj.stlo = 0
sacobj.stel = 0
hdrs = ['o', 'b', 'npts', 'data', 'delta', 'gcarc', 'az', 'baz', 'dist', 'kstnm', 'knetwk']
hdrs += ['cmpaz', 'cmpinc', 'kcmpnm']
for hdr in hdrs:
sacobj.__setattr__(hdr, self.__dict__[hdr])
self.savehdrs(sacobj)
sacobj.close()
def __init__(self, ifile, delta=-1):
""" Read SAC file to python objects in memory.
"""
isac = sacfile(ifile, 'rw')
nthdr = 10
nkhdr = 3
thdrs = [
-12345.,
] * nthdr
users = [
-12345.,
] * nthdr
kusers = [
'-12345 ',
] * nkhdr
for i in range(nthdr):
try:
thdrs[i] = isac.__getattr__('t' + str(i))
except:
pass
try:
users[i] = isac.__getattr__('user' + str(i))
except:
pass
for i in range(nkhdr):
try:
kusers[i] = isac.__getattr__('kuser' + str(i)) #.rstrip()
except:
pass
self.thdrs = thdrs
self.users = users
self.kusers = kusers
self.az = isac.az
self.baz = isac.baz
self.dist = isac.dist
self.gcarc = isac.gcarc
stla, stlo, stel = isac.stla, isac.stlo, isac.stel * 0.001
self.stla = stla
self.stlo = stlo
self.stel = stel
self.staloc = [stla, stlo, stel]
self.filename = ifile
# resample data if given a different positive delta
self.data, self.delta = resampleSeis(array(isac.data), isac.delta,
delta)
self.npts = len(self.data)
self.b = isac.b
self.e = isac.e
self.o = isac.o
self.kstnm = isac.kstnm
self.knetwk = isac.knetwk
net = isac.knetwk.rstrip()
sta = isac.kstnm.rstrip()
self.netsta = net + '.' + sta
self.cmpaz = isac.cmpaz
self.cmpinc = isac.cmpinc
self.kcmpnm = isac.kcmpnm
isac.close()
def loadData(ifiles, opts, para):
""" Load data either from SAC files or (gz/bz2 compressed) pickle file.
Get sampling rate from command line option or default config file.
Resample data if a positive sample rate is given.
Output file type is the same as input file (filemode and zipmode do not change).
If filemode == 'sac': zipmode = None
If filemode == 'pkl': zipmode = None/bz2/gz
"""
if opts.srate is not None:
srate = opts.srate
else:
srate = para.srate
ifile0 = ifiles[0]
filemode, zipmode = fileZipMode(ifile0)
opts.filemode = filemode
opts.zipmode = zipmode
if filemode == 'sac':
if srate <= 0:
isac = sacfile(ifile0, 'ro')
delta = isac.delta
isac.close()
else:
delta = 1.0/srate
gsac = sac2obj(ifiles, delta)
opts.delta = delta
opts.pklfile = None
elif len(ifiles) > 1:
print('More than one pickle file given. Exit.')
sys.exit()
else:
if zipmode is not None:
pklfile = ifile0[:-len(zipmode)-1]
else:
pklfile = ifile0
gsac = readPickle(pklfile, zipmode)
opts.pklfile = pklfile
if srate > 0:
sacdh0 = gsac.saclist[0]
if int(round(sacdh0.npts * sacdh0.delta * srate)) != sacdh0.npts:
gsac.resampleData(1./srate)
opts.delta = gsac.saclist[0].delta
# warn user if sampling rates are inconsistent
class BreakIt(Exception): pass
length_of_saclist = len(gsac.saclist)
try:
for k in range(length_of_saclist):
for j in range(length_of_saclist):
if gsac.saclist[k].delta - gsac.saclist[j].delta > 0.01:
print('WARNING: sampling rates inconsistent. If sampling rates not all equal, errors in cross correlation may occur.')
raise BreakIt
except BreakIt:
pass
print ('Read {0:d} seismograms with sampling interval: {1:f}s'.format(len(gsac.saclist), opts.delta))
return gsac
def savesac(self):
""" Save all data and header variables to an existing or new sacfile. """
if os.path.isfile(self.filename):
sacobj = sacfile(self.filename, 'rw')
else:
fspl = self.filename.split('/')
if len(fspl) > 1: os.system('mkdir -p ' + '/'.join(fspl[:-1]))
sacobj = sacfile(self.filename, 'new')
sacobj.stla = 0
sacobj.stlo = 0
sacobj.stel = 0
hdrs = [
'o', 'b', 'npts', 'data', 'delta', 'gcarc', 'az', 'baz', 'dist',
'kstnm', 'knetwk'
]
hdrs += ['cmpaz', 'cmpinc', 'kcmpnm']
for hdr in hdrs:
sacobj.__setattr__(hdr, self.__dict__[hdr])
self.savehdrs(sacobj)
sacobj.close()
def __init__(self, ifile, delta=-1):
""" Read SAC file to python objects in memory.
"""
isac = sacfile(ifile, 'rw')
nthdr = 10
nkhdr = 3
thdrs = [-12345.,] * nthdr
users = [-12345.,] * nthdr
kusers = ['-12345 ',] * nkhdr
for i in range(nthdr):
try:
thdrs[i] = isac.__getattr__('t'+str(i))
except:
pass
try:
users[i] = isac.__getattr__('user'+str(i))
except:
pass
for i in range(nkhdr):
try:
kusers[i] = isac.__getattr__('kuser'+str(i))#.rstrip()
except:
pass
self.thdrs = thdrs
self.users = users
self.kusers = kusers
self.az = isac.az
self.baz = isac.baz
self.dist = isac.dist
self.gcarc = isac.gcarc
stla, stlo, stel = isac.stla, isac.stlo, isac.stel*0.001
self.stla = stla
self.stlo = stlo
self.stel = stel
self.staloc = [stla, stlo, stel]
self.filename = ifile
# resample data if given a different positive delta
self.data, self.delta = resampleSeis(array(isac.data), isac.delta, delta)
self.npts = len(self.data)
self.b = isac.b
self.e = isac.e
self.o = isac.o
self.kstnm = isac.kstnm
self.knetwk = isac.knetwk
net = isac.knetwk.rstrip()
sta = isac.kstnm.rstrip()
self.netsta = net + '.' + sta
self.cmpaz = isac.cmpaz
self.cmpinc = isac.cmpinc
self.kcmpnm = isac.kcmpnm
isac.close()
def loadData(ifiles, opts, para):
""" Load data either from SAC files or (gz/bz2 compressed) pickle file.
Get sampling rate from command line option or default config file.
Resample data if a positive sample rate is given.
Output file type is the same as input file (filemode and zipmode do not change).
If filemode == 'sac': zipmode = None
If filemode == 'pkl': zipmode = None/bz2/gz
"""
if opts.srate is not None:
srate = opts.srate
else:
srate = para.srate
ifile0 = ifiles[0]
filemode, zipmode = fileZipMode(ifile0)
opts.filemode = filemode
opts.zipmode = zipmode
if filemode == 'sac':
if srate <= 0:
isac = sacfile(ifile0, 'ro')
delta = isac.delta
isac.close()
else:
delta = 1.0 / srate
gsac = sac2obj(ifiles, delta)
opts.delta = delta
opts.pklfile = None
elif len(ifiles) > 1:
print('More than one pickle file given. Exit.')
sys.exit()
else:
if zipmode is not None:
pklfile = ifile0[:-len(zipmode) - 1]
else:
pklfile = ifile0
gsac = readPickle(pklfile, zipmode)
opts.pklfile = pklfile
if srate > 0:
sacdh0 = gsac.saclist[0]
if int(round(sacdh0.npts * sacdh0.delta * srate)) != sacdh0.npts:
gsac.resampleData(1. / srate)
opts.delta = gsac.saclist[0].delta
print('Read {0:d} seismograms with sampling interval: {1:f}s'.format(
len(gsac.saclist), opts.delta))
return gsac
def loadData(ifiles, opts, para):
""" Load data either from SAC files or (gz/bz2 compressed) pickle file.
Get sampling rate from command line option or default config file.
Resample data if a positive sample rate is given.
Output file type is the same as input file (filemode and zipmode do not change).
If filemode == 'sac': zipmode = None
If filemode == 'pkl': zipmode = None/bz2/gz
"""
if opts.srate is not None:
srate = opts.srate
else:
srate = para.srate
ifile0 = ifiles[0]
filemode, zipmode = fileZipMode(ifile0)
opts.filemode = filemode
opts.zipmode = zipmode
if filemode == 'sac':
if srate <= 0:
isac = sacfile(ifile0, 'ro')
delta = isac.delta
isac.close()
else:
delta = 1.0/srate
gsac = sac2obj(ifiles, delta)
opts.delta = delta
opts.pklfile = None
elif len(ifiles) > 1:
print('More than one pickle file given. Exit.')
sys.exit()
else:
if zipmode is not None:
pklfile = ifile0[:-len(zipmode)-1]
else:
pklfile = ifile0
gsac = readPickle(pklfile, zipmode)
opts.pklfile = pklfile
if srate > 0:
sacdh0 = gsac.saclist[0]
if int(round(sacdh0.npts * sacdh0.delta * srate)) != sacdh0.npts:
gsac.resampleData(1./srate)
opts.delta = gsac.saclist[0].delta
print ('Read {0:d} seismograms with sampling interval: {1:f}s'.format(len(gsac.saclist), opts.delta))
return gsac
def obj2sac(gsac):
""" Save headers in python objects to SAC files.
"""
for sacdh in gsac.saclist:
sacdh.savesac()
# save more headers
nzyear, mon, day, nzhour, nzmin, nzsec, evla, evlo, evdp, mag = gsac.event
kevnm = gsac.kevnm
idep = gsac.idep
iztype = gsac.iztype
nzjday = date2jul(nzyear, mon, day)
nzmsec = int(round((nzsec - int(nzsec)) * 1000))
nzsec = int(nzsec)
# evdp *= 1000
# stla, stlo, stel = gsac.stadict[sacdh.netsta]
# stel *= 1000
hdrs = [
'nzyear',
'nzjday',
'nzhour',
'nzmin',
'nzsec',
'nzmsec',
'evla',
'evlo',
'evdp',
'mag',
]
# hdrs += ['stla', 'stlo', 'stel' ]
hdrs += ['kevnm', 'idep', 'iztype']
for sacdh in gsac.saclist:
sacobj = sacfile(sacdh.filename, 'rw')
for hdr in hdrs:
sacobj.__setattr__(hdr, eval(hdr))
sacobj.close()
if 'stkdh' in gsac.__dict__:
gsac.stkdh.savesac()
""" Example python script to read, resample and plot a seismogram. Xiaoting Lou ([email protected]) 03/07/2012 """ from pysmo.sac.sacio import sacfile from numpy import linspace, array from scipy import signal import matplotlib.pyplot as plt import matplotlib.transforms as transforms # read sac file: ifilename = 'TA.109C.__.BHZ.sac' sacobj = sacfile(ifilename, 'rw') b = sacobj.b npts = sacobj.npts delta = sacobj.delta x = linspace(b, b+npts*delta, npts) y = array(sacobj.data) # resample: deltanew = 2.0 nptsnew = int(round(npts*delta/deltanew)) x2 = linspace(b, b+npts*delta, nptsnew) y2 = signal.resample(y, nptsnew) # plot: fig = plt.figure(figsize=(12,4)) ax = fig.add_subplot(111) trans = transforms.blended_transform_factory(ax.transAxes, ax.transAxes) plt.plot(x, y, 'b-', label='Delta = {0:.3f} s'.format(delta))
def loadData(ifiles, opts, para):
""" Load data either from SAC files or (gz/bz2 compressed) pickle file.
Get sampling rate from command line option or default config file.
Resample data if a positive sample rate is given.
Output file type is the same as input file (filemode and zipmode do not change).
If filemode == 'sac': zipmode = None
If filemode == 'pkl': zipmode = None/bz2/gz
"""
if opts.srate is not None:
srate = opts.srate
else:
srate = para.srate
ifile0 = ifiles[0]
filemode, zipmode = fileZipMode(ifile0)
opts.filemode = filemode
opts.zipmode = zipmode
if filemode == 'sac':
if srate <= 0:
isac = sacfile(ifile0, 'ro')
delta = isac.delta
isac.close()
else:
delta = 1.0 / srate
gsac = sac2obj(ifiles, delta)
opts.delta = delta
opts.pklfile = None
elif len(ifiles) > 1:
print('More than one pickle file given. Exit.')
sys.exit()
else:
if zipmode is not None:
pklfile = ifile0[:-len(zipmode) - 1]
else:
pklfile = ifile0
gsac = readPickle(pklfile, zipmode)
opts.pklfile = pklfile
if srate > 0:
sacdh0 = gsac.saclist[0]
if int(round(sacdh0.npts * sacdh0.delta * srate)) != sacdh0.npts:
gsac.resampleData(1. / srate)
opts.delta = gsac.saclist[0].delta
# warn user if sampling rates are inconsistent
class BreakIt(Exception):
pass
length_of_saclist = len(gsac.saclist)
try:
for k in range(length_of_saclist):
for j in range(length_of_saclist):
if gsac.saclist[k].delta - gsac.saclist[j].delta > 0.01:
print(
'WARNING: sampling rates inconsistent. If sampling rates not all equal, errors in cross correlation may occur.'
)
raise BreakIt
except BreakIt:
pass
print('Read {0:d} seismograms with sampling interval: {1:f}s'.format(
len(gsac.saclist), opts.delta))
return gsac
