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sacpy.py
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sacpy.py
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'''
A simple class that deals with sac files
Written by Z. Duputel, December 2013
'''
import os,sys
import numpy as np
import shutil as sh
from copy import deepcopy
from datetime import datetime, timedelta
NVHDR = 6
ITIME = 1
def unpack_c(chararray,rm_spaces=True):
S = ''
for c in chararray:
c = c.decode('utf-8')
if rm_spaces and (c == ' ' or c == ''):
break
S+=c
return S
def pack_c(char,size):
S = deepcopy(char)
c_size = len(char)
for i in range(size-c_size):
S = S+' '
return np.array(S,dtype='c')
class SacError(Exception):
"""
Raised if the SAC file is corrupted
"""
pass
class sac(object):
def __init__(self):
self.delta = -12345.
self.depmin = -12345.
self.depmax = -12345.
self.scale = -12345.
self.odelta = -12345.
self.b = -12345.
self.e = -12345.
self.o = -12345.
self.a = -12345.
self.internal1 = -12345.
self.t = np.ones((10,),dtype='float32')*-12345.
self.f = -12345.
self.resp = np.ones((10,),dtype='float32')*-12345.
self.stla = -12345.
self.stlo = -12345.
self.stel = -12345.
self.stdp = -12345.
self.evla = -12345.
self.evlo = -12345.
self.evel = -12345.
self.evdp = -12345.
self.mag = -12345.
self.user = np.ones((10,),dtype='float32')*-12345.
self.dist = -12345.
self.az = -12345.
self.baz = -12345.
self.gcarc = -12345.
self.internal2 = -12345.
self.internal3 = -12345.
self.depmen = -12345.
self.cmpaz = -12345.
self.cmpinc = -12345.
self.xminimum = -12345.
self.xmaximum = -12345.
self.yminimum = -12345.
self.ymaximum = -12345.
self.nzyear = -12345
self.nzjday = -12345
self.nzhour = -12345
self.nzmin = -12345
self.nzsec = -12345
self.nzmsec = -12345
self.nvhdr = NVHDR
self.norid = -12345
self.nevid = -12345
self.npts = -12345
self.internal4 = -12345
self.nwfid = -12345
self.nxsize = -12345
self.nysize = -12345
self.iftype = ITIME
self.idep = -12345
self.iztype = -12345
self.iinst = -12345
self.istreg = -12345
self.ievreg = -12345
self.ievtyp = -12345
self.iqual = -12345
self.isynth = -12345
self.imagtyp = -12345
self.imagsrc = -12345
self.leven = -12345
self.lpspol = -12345
self.lovrok = -12345
self.lcalda = -12345
self.kstnm = '-12345'
self.kevnm = '-12345'
self.khole = '-12345'
self.ko = '-12345'
self.ka = '-12345'
self.kt = []
for i in range(10):
self.kt.append('-12345')
self.kf = '-12345'
self.kuser = []
for i in range(3):
self.kuser.append('-12345')
self.kcmpnm = '-12345'
self.knetwk = '-12345'
self.kdatrd = '-12345'
self.kinst = '-12345'
self.id = self.knetwk+'_'+self.kstnm+'_'+self.khole+'_'+self.kcmpnm
self.depvar = np.array([],dtype='d')
def rsac(self,FILE,npts=None,datflag=True):
'''
Read sac file
Args:
* FILE: input sac file name
* npts: number of data points to be read
* datflag: True: read data, False: read header only
'''
# Open file
fid = open(FILE,'rb')
# Check endianness
fid.seek(316,0)
npts = np.fromfile(fid,'<i4',1)[0]
fid.seek(0,2)
fsize = fid.tell()
if fsize==632+4*npts:
ftype='<f4'
itype='<i4'
elif fsize==632+4*npts.byteswap():
ftype='>f4'
itype='>i4'
else:
raise SacError("Number of points in header and length of trace inconsistent !")
# Read header
fid.seek(0,0)
self.delta = np.fromfile(fid,ftype,1)[0]
self.depmin = np.fromfile(fid,ftype,1)[0]
self.depmax = np.fromfile(fid,ftype,1)[0]
self.scale = np.fromfile(fid,ftype,1)[0]
self.odelta = np.fromfile(fid,ftype,1)[0]
self.b = np.fromfile(fid,ftype,1)[0]
self.e = np.fromfile(fid,ftype,1)[0]
self.o = np.fromfile(fid,ftype,1)[0]
self.a = np.fromfile(fid,ftype,1)[0]
self.internal1 = np.fromfile(fid,ftype, 1)[0]
self.t = np.fromfile(fid,ftype,10)
self.f = np.fromfile(fid,ftype,1)[0]
self.resp = np.fromfile(fid,ftype,10)
self.stla = np.fromfile(fid,ftype,1)[0]
self.stlo = np.fromfile(fid,ftype,1)[0]
self.stel = np.fromfile(fid,ftype,1)[0]
self.stdp = np.fromfile(fid,ftype,1)[0]
self.evla = np.fromfile(fid,ftype,1)[0]
self.evlo = np.fromfile(fid,ftype,1)[0]
self.evel = np.fromfile(fid,ftype,1)[0]
self.evdp = np.fromfile(fid,ftype,1)[0]
self.mag = np.fromfile(fid,ftype,1)[0]
self.user = np.fromfile(fid,ftype, 10)
self.dist = np.fromfile(fid,ftype,1)[0]
self.az = np.fromfile(fid,ftype,1)[0]
self.baz = np.fromfile(fid,ftype,1)[0]
self.gcarc = np.fromfile(fid,ftype,1)[0]
self.internal2 = np.fromfile(fid,ftype,1)[0]
self.internal3 = np.fromfile(fid,ftype,1)[0]
self.depmen = np.fromfile(fid,ftype,1)[0]
self.cmpaz = np.fromfile(fid,ftype,1)[0]
self.cmpinc = np.fromfile(fid,ftype,1)[0]
self.xminimum = np.fromfile(fid,ftype,1)[0]
self.xmaximum = np.fromfile(fid,ftype,1)[0]
self.yminimum = np.fromfile(fid,ftype,1)[0]
self.ymaximum = np.fromfile(fid,ftype,1)[0]
fid.seek(7*4,1)
self.nzyear = np.fromfile(fid,itype,1)[0]
self.nzjday = np.fromfile(fid,itype,1)[0]
self.nzhour = np.fromfile(fid,itype,1)[0]
self.nzmin = np.fromfile(fid,itype,1)[0]
self.nzsec = np.fromfile(fid,itype,1)[0]
self.nzmsec = np.fromfile(fid,itype,1)[0]
self.nvhdr = np.fromfile(fid,itype,1)[0]
self.norid = np.fromfile(fid,itype,1)[0]
self.nevid = np.fromfile(fid,itype,1)[0]
self.npts = np.fromfile(fid,itype,1)[0]
self.internal4 = np.fromfile(fid,itype,1)[0]
self.nwfid = np.fromfile(fid,itype,1)[0]
self.nxsize = np.fromfile(fid,itype,1)[0]
self.nysize = np.fromfile(fid,itype,1)[0]
fid.seek(4,1);
self.iftype = np.fromfile(fid,itype,1)[0]
self.idep = np.fromfile(fid,itype,1)[0]
self.iztype = np.fromfile(fid,itype,1)[0]
fid.seek(4,1);
self.iinst = np.fromfile(fid,itype,1)[0]
self.istreg = np.fromfile(fid,itype,1)[0]
self.ievreg = np.fromfile(fid,itype,1)[0]
self.ievtyp = np.fromfile(fid,itype,1)[0]
self.iqual = np.fromfile(fid,itype,1)[0]
self.isynth = np.fromfile(fid,itype,1)[0]
self.imagtyp = np.fromfile(fid,itype,1)[0]
self.imagsrc = np.fromfile(fid,itype,1)[0]
fid.seek(8*4,1);
self.leven = np.fromfile(fid,itype,1)[0]
self.lpspol = np.fromfile(fid,itype,1)[0]
self.lovrok = np.fromfile(fid,itype,1)[0]
self.lcalda = np.fromfile(fid,itype,1)[0]
fid.seek(4,1);
self.kstnm = unpack_c(np.fromfile(fid,'c',8))
self.kevnm = unpack_c(np.fromfile(fid,'c',16),False)
self.khole = unpack_c(np.fromfile(fid,'c',8))
self.ko = unpack_c(np.fromfile(fid,'c',8))
self.ka = unpack_c(np.fromfile(fid,'c',8))
for i in range(10):
self.kt[i] = unpack_c(np.fromfile(fid,'c',8))
self.kf = unpack_c(np.fromfile(fid,'c',8))
for i in range(3):
self.kuser[i] = unpack_c(np.fromfile(fid,'c',8))
self.kcmpnm = unpack_c(np.fromfile(fid,'c',8))
self.knetwk = unpack_c(np.fromfile(fid,'c',8))
self.kdatrd = unpack_c(np.fromfile(fid,'c',8))
self.kinst = unpack_c(np.fromfile(fid,'c',8))
self.e = self.b + float(self.npts-1) * self.delta
if self.khole=='' or self.khole=='-12345':
self.khole = '--'
self.id = self.knetwk+'_'+self.kstnm+'_'+self.khole+'_'\
+self.kcmpnm
# Read data
fid.seek(632,0);
if not datflag: # All done
fid.close()
return
if npts == None or npts < 0 or npts > self.npts:
npts = self.npts
else:
self.npts = int(npts)
if self.npts > 0:
self.depvar = np.array(np.fromfile(fid,ftype,self.npts),dtype='d')
fid.close()
# All done
return
def wsac(self,FILE):
'''
Write sac file
Args:
* FILE: output sac file name
'''
dumi = np.array(-12345 ,dtype='int32')
dumf = np.array(-12345.0 ,dtype='float32')
dumc = np.array('-12345 ',dtype='c')
fid = open(FILE,'wb')
np.array(self.delta,dtype='float32').tofile(fid)
np.array(self.depmin,dtype='float32').tofile(fid)
np.array(self.depmax,dtype='float32').tofile(fid)
np.array(self.scale,dtype='float32').tofile(fid)
np.array(self.odelta,dtype='float32').tofile(fid)
np.array(self.b,dtype='float32').tofile(fid)
self.e = self.b + float(self.npts - 1) * self.delta
np.array(self.e,dtype='float32').tofile(fid)
np.array(self.o,dtype='float32').tofile(fid)
np.array(self.a,dtype='float32').tofile(fid)
np.array(self.internal1,dtype='float32').tofile(fid)
np.array(self.t,dtype='float32').tofile(fid)
np.array(self.f,dtype='float32').tofile(fid)
np.array(self.resp,dtype='float32').tofile(fid)
np.array(self.stla,dtype='float32').tofile(fid)
np.array(self.stlo,dtype='float32').tofile(fid)
np.array(self.stel,dtype='float32').tofile(fid)
np.array(self.stdp,dtype='float32').tofile(fid)
np.array(self.evla,dtype='float32').tofile(fid)
np.array(self.evlo,dtype='float32').tofile(fid)
np.array(self.evel,dtype='float32').tofile(fid)
np.array(self.evdp,dtype='float32').tofile(fid)
np.array(self.mag,dtype='float32').tofile(fid)
np.array(self.user,dtype='float32').tofile(fid)
np.array(self.dist,dtype='float32').tofile(fid)
np.array(self.az,dtype='float32').tofile(fid)
np.array(self.baz,dtype='float32').tofile(fid)
np.array(self.gcarc,dtype='float32').tofile(fid)
np.array(self.internal2,dtype='float32').tofile(fid)
np.array(self.internal3,dtype='float32').tofile(fid)
np.array(self.depmen,dtype='float32').tofile(fid)
np.array(self.cmpaz,dtype='float32').tofile(fid)
np.array(self.cmpinc,dtype='float32').tofile(fid)
np.array(self.xminimum,dtype='float32').tofile(fid)
np.array(self.xmaximum,dtype='float32').tofile(fid)
np.array(self.yminimum,dtype='float32').tofile(fid)
np.array(self.ymaximum,dtype='float32').tofile(fid)
for i in range(7):
dumf.tofile(fid)
np.array(self.nzyear,dtype='int32').tofile(fid)
np.array(self.nzjday,dtype='int32').tofile(fid)
np.array(self.nzhour,dtype='int32').tofile(fid)
np.array(self.nzmin,dtype='int32').tofile(fid)
np.array(self.nzsec,dtype='int32').tofile(fid)
np.array(self.nzmsec,dtype='int32').tofile(fid)
np.array(self.nvhdr,dtype='int32').tofile(fid)
np.array(self.norid,dtype='int32').tofile(fid)
np.array(self.nevid,dtype='int32').tofile(fid)
np.array(self.npts,dtype='int32').tofile(fid)
np.array(self.internal4,dtype='int32').tofile(fid)
np.array(self.nwfid,dtype='int32').tofile(fid)
np.array(self.nxsize,dtype='int32').tofile(fid)
np.array(self.nysize,dtype='int32').tofile(fid)
dumi.tofile(fid)
np.array(self.iftype,dtype='int32').tofile(fid)
np.array(self.idep,dtype='int32').tofile(fid)
np.array(self.iztype,dtype='int32').tofile(fid)
dumi.tofile(fid)
np.array(self.iinst,dtype='int32').tofile(fid)
np.array(self.istreg,dtype='int32').tofile(fid)
np.array(self.ievreg,dtype='int32').tofile(fid)
np.array(self.ievtyp,dtype='int32').tofile(fid)
np.array(self.iqual,dtype='int32').tofile(fid)
np.array(self.isynth,dtype='int32').tofile(fid)
np.array(self.imagtyp,dtype='int32').tofile(fid)
np.array(self.imagsrc,dtype='int32').tofile(fid)
for i in range(8):
dumi.tofile(fid)
np.array(self.leven,dtype='int32').tofile(fid)
np.array(self.lpspol,dtype='int32').tofile(fid)
np.array(self.lovrok,dtype='int32').tofile(fid)
np.array(self.lcalda,dtype='int32').tofile(fid)
dumi.tofile(fid)
pack_c(self.kstnm,8).tofile(fid)
pack_c(self.kevnm,16).tofile(fid)
pack_c(self.khole,8).tofile(fid)
pack_c(self.ko,8).tofile(fid)
pack_c(self.ka,8).tofile(fid)
for i in range(10):
pack_c(self.kt[i],8).tofile(fid)
pack_c(self.kf,8).tofile(fid)
for i in range(3):
pack_c(self.kuser[i],8).tofile(fid)
pack_c(self.kcmpnm,8).tofile(fid)
pack_c(self.knetwk,8).tofile(fid)
pack_c(self.kdatrd,8).tofile(fid)
pack_c(self.kinst,8).tofile(fid)
# Write data
np.array(self.depvar,dtype='float32').tofile(fid)
fid.close()
# All done
return
def getnzdatetime(self):
'''
Get the reference datetime
'''
# Reference datetime
nzjday = timedelta(int(self.nzjday)-1)
nzusec = int(self.nzmsec*1e3)
nztime = datetime(self.nzyear,1,1,self.nzhour,self.nzmin,self.nzsec,nzusec)+nzjday
# All done
return nztime
def setotime(self,otime):
'''
Set o
Arg:
* otime: datetime instance
'''
# Get nzdatetime
nztime = self.getnzdatetime()
# Time difference is o
self.o = np.float32((otime-nztime).total_seconds())
# All done
return
def setarrivaltimes(self,phase_dict):
'''
Set t and kt
Arg:
* phase_dict: phase pick dictionary {name: arrival_datetime)
'''
# Get nzdatetime
nztime = self.getnzdatetime()
# Loop over phase names and arrival times
i = 0
for pname, ptime in phase_dict.items():
# Phase name
assert len(pname)<8, 'phase name %s is too long'%(pname)
self.kt[i] = pname
# Arrival time
self.t[i] = np.float32((ptime-nztime).total_seconds())
i += 1
# All done
return
def copy(self):
'''
Returns a copy of the sac object
'''
return deepcopy(self)
def zero_pad_start(t,sac,t0):
tmin = t[0]
dt = sac.delta
tpad = np.arange(tmin,t0-dt,-dt)
if tpad[-1]>t0:
tpad = np.append(tpad,tpad[-1]-dt)
tpad = tpad[1:]
tpad = tpad[::-1]
tout = np.append(tpad,t)
gout = np.append(0.0*tpad,sac.depvar)
# all done
return tout,gout