def GetSacInfo(fileName):
stream = pread(fileName)
time = [
stream[0].stats.sac.nzyear, stream[0].stats.sac.nzjday,
stream[0].stats.sac.nzhour * 3600 + stream[0].stats.sac.nzmin * 60 +
stream[0].stats.sac.nzsec + stream[0].stats.sac.nzmsec / 1000
]
return stream[0].data, time
def __init__(self, file_name):
from pysac import SacStreamIO
import stft
import numpy as np
self.wlWinN = 60
self.wlLagN = 6
self.fqWinN = 60
self.fqLagN = 10
self.fqRspN = 32
self.wlRspN = 32
self.max900 = 0
self.wl_x_level = 3
#sac file read
stream = Stream()
for fileName in file_name:
stream += pread(fileName)
self.stream_count = 0
self.hash = []
self.stro = 0
for temp_data in stream:
self.sac_data = temp_data.data[:100000]
self.sac_data = signal.detrend(self.sac_data)
print(temp_data.stats.sac.nzyear)
fqData = stft.stft(self.sac_data, self.fqWinN, self.fqLagN,
self.fqRspN)
fqData = np.abs(fqData)
print(" STFT FINISHED!")
wlDataX = self.WaveLetX(fqData, level=3)
self.wlData = self.WaveLetAndRegular(wlDataX, level=3)
print(" WALE FINISHED!")
self.wlData = self.RegularS(self.wlData)
print(" REGU FINISHED!")
self.wlData = self.TrimData(self.wlData)
print(" TRIM FINISHED!")
self.GetFingerPoint(2)
print(" FIGU FINISHED!")
self.hash.append(self.itr_hash)
self.stream_count += 1
self.stro += 1
def GetData(self, file):
st = pread(file)
return st[0].data
def trunk():
HSF = GetHashFile(os.getcwd() + '/').GetList()
TPF = GetTempFile(os.getcwd() + '/').GetList()
mysel = Select(TPF, HSF)
mysel.GetHashFile()
mysel.GetTempFile()
#tm=mysel.GetTime()
#print(tm)
#return
files = [
DIR + "s28/2015337/2015337_00_00_00_s28_BHE.SAC",
DIR + "s28/2015337/2015337_00_00_00_s28_BHN.SAC",
DIR + "s28/2015337/2015337_00_00_00_s28_BHZ.SAC"
]
st = Stream()
dt = []
for file in files:
st = pread(file)
dt.append(st[0].data)
#tm=mysel.Find(np.array([22813171,127266168,12470431,17266034,132721297,6361937,30551886,56546867,27689246,235320713,86101458,93624353,13858394,49972221,103683464,31376115,104910045,64306427,143938973,121058633]))
tm = mysel.Find(
np.array([
22813171, 24130584, 12470431, 17266034, 132721297, 173306923,
100774281, 39951099, 27689246, 289724735, 86101458, 75492665,
29604049, 183910497, 45187728, 27032361, 97663355, 7276142,
143938973, 70629991
]))
print(tm)
#return
fig = plt.figure()
timelen = 300
jsfile = open("D:/xampp/htdocs/data/data_plot.json", "w")
jsfile.write("{\"timeseries\":[")
for itr in tm:
jsfile.write("%d," % int(itr))
jsfile.seek(jsfile.tell() - 1)
jsfile.write("],\n")
jsfile.write("\"datas\":[")
for itr in tm:
itr = int(itr * 100)
jsfile.write("[[")
for itry in range(timelen):
jsfile.write("[%f,%f]," % ((itry) / 100, dt[0][itr + itry]))
jsfile.seek(jsfile.tell() - 1)
jsfile.write("],\n[")
for itry in range(timelen):
jsfile.write("[%f,%f]," % ((itry) / 100, dt[1][itr + itry]))
jsfile.seek(jsfile.tell() - 1)
jsfile.write("],\n[")
for itry in range(timelen):
jsfile.write("[%f,%f]," % ((itry) / 100, dt[2][itr + itry]))
jsfile.seek(jsfile.tell() - 1)
jsfile.write("]],\n")
#name="selfig/"+("%.2f"%(itr/100))+".jpg"
#fig.clf()
#ax=fig.add_subplot(311)
#ax.plot(dt[0][itr:itr+timelen])
#ax=fig.add_subplot(312)
#ax.plot(dt[1][itr:itr+timelen])
#ax=fig.add_subplot(313)
#ax.plot(dt[2][itr:itr+timelen])
#plt.savefig(name)
jsfile.seek(jsfile.tell() - 3)
jsfile.write("]}")
jsfile.close()
DIR + "s28/2015336/2015336_00_00_00_s28_BHZ.SAC",
DIR + "s28/2015336/2015336_00_00_00_s28_BHN.SAC",
DIR + "s28/2015336/2015336_00_00_00_s28_BHE.SAC"
],
[
DIR + "s28/2015337/2015337_00_00_00_s28_BHZ.SAC",
DIR + "s28/2015337/2015337_00_00_00_s28_BHN.SAC",
DIR + "s28/2015337/2015337_00_00_00_s28_BHE.SAC"
],
[
DIR + "s28/2015338/2015338_00_00_00_s28_BHZ.SAC",
DIR + "s28/2015338/2015338_00_00_00_s28_BHN.SAC",
DIR + "s28/2015338/2015338_00_00_00_s28_BHE.SAC"
]][1:2]
st = pread(scFile[0][0])
st += pread(scFile[0][1])
st += pread(scFile[0][2])
fig = plt.figure(1)
xxx = np.linspace(0, 20, 2000)
a1 = st[0].data
a2 = st[1].data
a3 = st[2].data
for itr in time:
if (itr[1] > 1):
plt.clf()
file.write(str(itr[0]) + "\n")
continue
stt = int(itr[0] * 100)
edd = stt + 2000
ax = fig.add_subplot(311)
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import scipy.signal as signal
def FileToList(fileName):
f=open(fileName,"r",encoding=None)
fdata=f.readlines()
data=[]
for itr in fdata:
#print(itr)
if(itr[:2]=='20'):
data.append([ii.strip() for ii in itr.split() if(len(ii)>0)])
return data
stream = Stream()
stream = pread("after/SC.XJI.2008133160000.D.00.BHN.sac")
stream += pread("after/SC.XJI.2008133160000.D.00.BHZ.sac")
stream += pread("after/SC.XJI.2008133160001.D.00.BHE.sac")
stream.detrend()
nzy1,nzd1,nzs1=(stream[0].stats.sac.nzyear,
stream[0].stats.sac.nzjday,
stream[2].stats.sac.nzhour*3600+
stream[2].stats.sac.nzmin*60+
stream[2].stats.sac.nzsec+
stream[2].stats.sac.nzmsec/1000)
nzy2,nzd2,nzs2=(stream[1].stats.sac.nzyear,
stream[1].stats.sac.nzjday,
stream[2].stats.sac.nzhour*3600+
stream[2].stats.sac.nzmin*60+
stream[2].stats.sac.nzsec+
stream[2].stats.sac.nzmsec/1000)
from obspy import read as pread
from obspy import Stream
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import os
from DIRS import *
from getfiles.getdir import *
cGetLogDir = GetLogDir(DIR + CATLOG)
logDirs = cGetLogDir.GetDirList()
ccct = 0
for itr in logDirs:
logFileTime = GetLogFile(itr[0])
for sacFile in os.listdir(DIR + itr[1] + itr[2]):
print(DIR + itr[1] + itr[2] + sacFile)
stream = pread(DIR + itr[1] + itr[2] + sacFile)
for time_t in logFileTime:
time_i = int(time_t * 100)
plt.plot(stream[0].data[time_i:time_i + 2000], c='k')
ccct = 1
if (ccct == 1):
break
if (ccct == 1):
break
plt.show()