def addNetDemo(fSrcDir, static_path):
STATIC_PATH = static_path
sDenDir = 'networks'
fDenDir = os.path.join(STATIC_PATH, sDenDir)
mkfile(fDenDir, 0)
# updateSql() # 删除旧数据并更新数据库
all_files = []
all_paths = []
all_files, all_paths = show_path(fSrcDir, all_files, all_paths)
for i in range(0, len(all_files)):
file = all_files[i]
path = all_paths[i]
if file.count('.') >= 6:
dayCount = countDay_1OfYear(datetime.date.today())
(NetCode, StaCode, LocCode, ChCode, DataCode, nYear,
nDay) = file.split('.')
if (len(NetCode) <= 2 and len(StaCode) <= 5 and len(LocCode) <= 2
and len(ChCode) <= 3 and DataCode == 'D'
and len(nYear) <= 4 and len(nDay) <= 3
and int(nDay) == dayCount):
net = Network(NetCode, NetCode, fSrcDir, sDenDir,
3).get_or_create_Network()
sta = Station(net, StaCode, StaCode).get_or_create_Station()
cDigitizerInfo = DigitizerInfo('TDE-324', '10Vpp', '100Hz',
'Linear')
(bRet, AD, gain, rate,
filter) = cDigitizerInfo.getDigitizerInfo()
if not bRet:
print('Digitizer not found!')
continue
cSensorInfo = SensorInfo('TMA-33')
(bRet, sensor, sensorinfo) = cSensorInfo.getSensorInfo()
if not bRet:
print('Sensor not found!')
continue
adsensor = ADSensor(filter, sensorinfo).get_ADSensor()
sta_adsensor = Sta_ADSensor(
sta, adsensor).get_or_create_Sta_ADSensor()
ch = Channel(sta_adsensor, LocCode, ChCode).get_or_create_CH()
sDenDir2 = sDenDir + '/' + NetCode
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
sDenDir2 = sDenDir2 + '/' + StaCode
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
sDenDir2 = sDenDir2 + '/' + nYear
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
sDenDir2 = sDenDir2 + '/' + nDay
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
from obspy import read
# from obspy.io.xseed import Parser
from obspy.signal import PPSD
from obspy.imaging.cm import pqlx
try:
st = read(path)
except Exception as ex:
print('%s数据读取错误\n' % file, ex)
continue
ChName = NetCode + '.' + StaCode + '.' + LocCode + '.' + ChCode + '.' + nYear + '.' + nDay
outfile1 = fDenDir + '/' + ChName + '.day_wave.png'
outfile2 = fDenDir + '/' + ChName + '.day_wave.low_pass_0.2Hz.png'
outfile3 = fDenDir + '/' + ChName + '.day_wave.high_pass_0.2Hz.png'
outfile4 = fDenDir + '/' + ChName + '.ppsd.png'
outfile5 = fDenDir + '/' + ChName + '.spectrogram.png'
print(NetCode, StaCode, LocCode, ChCode, DataCode, nYear, nDay)
st.plot(size=(1600, 1200),
tick_format='%I:%M:%p',
type="dayplot",
interval=30,
right_vertical_labels=True,
vertical_scaling_range=st[0].data.std() * 20,
one_tick_per_line=True,
color=["r", "b", "g"],
show_y_UTC_label=True,
title=ChName,
time_offset=8,
outfile=outfile1)
st2 = st.copy()
st.filter("lowpass", freq=0.2, corners=2)
st.plot(size=(1600, 1200),
tick_format='%I:%M:%p',
type="dayplot",
interval=30,
right_vertical_labels=True,
vertical_scaling_range=st[0].data.std() * 20,
one_tick_per_line=True,
color=["r", "b", "g"],
show_y_UTC_label=True,
title=ChName + '.low_pass 0.2Hz',
time_offset=8,
outfile=outfile2)
st2.filter("highpass", freq=0.2)
st2.plot(
size=(1600, 1200),
tick_format='%I:%M:%p',
type="dayplot",
interval=30,
right_vertical_labels=True,
vertical_scaling_range=st2[0].data.std() * 20,
one_tick_per_line=True,
color=["r", "b", "g"],
show_y_UTC_label=True,
# events={"min_magnitude": 5},
title=ChName + '.high_pass 0.2Hz',
time_offset=8,
outfile=outfile3)
paz = {}
paz['zeros'] = []
paz['zeros'] = Zeros(sensorinfo).getZero()
paz['poles'] = []
paz['poles'] = Poles(sensorinfo).getPole()
if 2000 <= cSensorInfo.getField('IMainType', sensor) <= 3000:
paz['zeros'].append(complex(0., 0))
paz['gain'] = cSensorInfo.getField('IGainNormalization',
sensorinfo)
paz['sensitivity'] = cSensorInfo.getField('IGain', sensorinfo) \
* cDigitizerInfo.getField('sensitivity', filter)
print(paz)
st = read(path)
# print(st)
ppsd = PPSD(st[0].stats, paz)
ppsd.add(st)
# print(ppsd.times_data)
# print('len=',len(ppsd.times_data),ppsd.times_data[0][0],ppsd.times_data[0][1])
ppsd.plot(outfile4, xaxis_frequency=True, cmap=pqlx)
ppsd.plot_spectrogram(filename=outfile5, cmap='CMRmap_r')
if cSensorInfo.getField('IMainType', sensor) < 2000:
outfile6 = fDenDir + '/' + ChName + '.1-2s.sp.png'
ppsd.plot_temporal(1.414, filename=outfile6)
elif 2000 <= cSensorInfo.getField('IMainType',
sensor) < 3000: # 加速度模式)
outfile6 = fDenDir + '/' + ChName + '.1-2Hz.sp.png'
ppsd.plot_temporal(.707, filename=outfile6)
fBlankTime = 0.
for i in range(1, len(ppsd.times_data)): # 1个整时间段说明未丢数
dt = (ppsd.times_data[i][0] - ppsd.times_data[i - 1][1])
if dt < 0:
print(dt, ppsd.times_data[i][0],
ppsd.times_data[i - 1][1])
else:
fBlankTime += dt
runrate = 1.0 - fBlankTime / 86400.
date = datetime.date(ppsd.times_data[0][0].year,
ppsd.times_data[0][0].month,
ppsd.times_data[0][0].day)
DayData(ch, date, runrate).set_or_create_Day_data()
else:
print(file, "Name is error.")
print(
'Run as: python3 %s "NN.SSSS.LL.CCC" [-plot=spec,temp,site,ppsd] [http://localhost:8080/] '
% argv[0])
print(
' or: python3 %s "NN.SSSS.LL.CCC" [-plot=spec,temp,site,ppsd] [data (e.g. mseed)] [metadata (e.g. fdsn.xml)]'
% argv[0])
stream._cleanup()
ids = []
for trace in stream:
if trace.id in ids:
continue
ids += [trace.id]
ppsd = PPSD(trace.stats,
inventory,
db_bins=(-200, -50, .5),
period_step_octaves=0.125 / 2.,
ppsd_length=min([
int(trace.stats.npts / 4 / trace.stats.sampling_rate),
800
]))
ppsd.add(stream)
if "site" in argv[-2]:
sitemap(inventory)
if "spec" in argv[-2]:
ppsd.plot_spectrogram()
if "temp" in argv[-2]:
ppsd.plot_temporal([10, 0.1, 1])
ppsd.plot(show_mode=True, cmap=pqlx)
def addNetDemo(fSrcDir,nNetMode=1,sensortype='TMA-33'):
# 建立顶层根目录
STATIC_PATH = os.path.join(os.path.dirname(__file__), 'static')
sDenDir = 'networks'
fDenDir = os.path.join(STATIC_PATH, sDenDir)
mkfile(fDenDir, 0)
file_list = []
path_list = []
(file_list,path_list) = show_path (fSrcDir,file_list,path_list)
for i in range(len(file_list)):
file = file_list[i]
path = path_list[i]
dayCount = countDay_1OfYear(datetime.date.today())
num = file.count('.')
if (num >= 6):
(NetCode,StaCode,LocCode,ChCode,DataCode,nYear,nDay) = file.split('.')
# print(NetCode, StaCode, LocCode, ChCode, DataCode, nYear, nDay)
# print(len(NetCode), len(StaCode), len(LocCode), len(ChCode), len(DataCode), len(nYear), len(nDay))
if (len(NetCode)<=2 and len(StaCode)<=5 and len(LocCode)<=2 and len(ChCode)<=3 and DataCode=='D'
and len(nYear)<=4 and len(nDay)<=3 and int(nDay) == dayCount):
net = get_or_create_Network(NetCode,NetCode,fSrcDir,sDenDir,nNetMode)
sta = get_or_create_Station(net,StaCode,StaCode)
(bRet,AD,gain,rate,filter) = get_DigitizerInfo('TDE-324','10Vpp','100Hz','Linear')
if bRet==False:
continue
(bRet,sensor,sensorinfo) = get_SensorInfo(sensortype, '0-200Hz', '1.0225V/M/S**2')
if bRet==False:
continue
ADSensor = get_or_create_ADSensor(filter,sensorinfo)
StaADSensor = get_or_create_Sta_ADSensor(sta,ADSensor)
ch = get_or_create_CH(StaADSensor,LocCode, ChCode)
# 以上，添加1个台站的逻辑确实很复杂
sDenDir2 = sDenDir + '/' + NetCode
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
sDenDir2 = sDenDir2 + '/' + StaCode
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
sDenDir2 = sDenDir2 + '/' + nYear
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
sDenDir2 = sDenDir2 + '/' + nDay
fDenDir = os.path.join(STATIC_PATH, sDenDir2)
mkfile(fDenDir, 0)
from obspy import read
#from obspy.io.xseed import Parser
from obspy.signal import PPSD
from obspy.imaging.cm import pqlx
try:
st = read(path)
except Exception as ex:
print('读取数据错误\n', ex)
continue
ChName = NetCode + '.' + StaCode + '.' + LocCode + '.' + ChCode + '.' + nYear + '.' + nDay
outfile1 = fDenDir + '/' + ChName + '.day_wave.png'
outfile2 = fDenDir + '/' + ChName + '.day_wave.low_pass_0.2Hz.png'
outfile3 = fDenDir + '/' + ChName + '.day_wave.high_pass_0.2Hz.png'
outfile4 = fDenDir + '/' + ChName + '.ppsd.png'
outfile5 = fDenDir + '/' + ChName + '.spectrogram.png'
print(NetCode, StaCode, LocCode, ChCode, DataCode, nYear, nDay)
st.plot(size=(1600, 1200), tick_format='%I:%M:%p', type="dayplot", interval=30, right_vertical_labels=True,
vertical_scaling_range=st[0].data.std() * 20, one_tick_per_line=True,
color=["r", "b", "g"], show_y_UTC_label=True,
title=ChName,time_offset=8,
outfile=outfile1)
st2 = st.copy()
st.filter("lowpass", freq=0.2, corners=2)
st.plot(size=(1600, 1200), tick_format='%I:%M:%p', type="dayplot", interval=30, right_vertical_labels=True,
vertical_scaling_range=st[0].data.std() * 20, one_tick_per_line=True,
color=["r", "b", "g"], show_y_UTC_label=True,
title=ChName + '.low_pass 0.2Hz',time_offset=8,
outfile=outfile2)
st2.filter("highpass", freq=0.2)
st2.plot(size=(1600, 1200), tick_format='%I:%M:%p', type="dayplot", interval=30, right_vertical_labels=True,
vertical_scaling_range=st2[0].data.std() * 20,one_tick_per_line=True,
color=["r", "b", "g"], show_y_UTC_label=True,
# events={"min_magnitude": 5},
title=ChName+ '.high_pass 0.2Hz', time_offset=8,
outfile=outfile3)
paz = {}
paz['zeros'] = []
for zero in Zero.objects.filter(sensor_info=sensorinfo).order_by('id'):
paz['zeros'].append(complex(zero.fReal, zero.fImag))
paz['poles'] = []
for pole in Pole.objects.filter(sensor_info=sensorinfo).order_by('id'):
paz['poles'].append(complex(pole.fReal, pole.fImag))
if (2000<=sensor.IMainType and sensor.IMainType<3000): # 加速度模式
paz['zeros'].append(complex(0.,0))
paz['gain'] = sensorinfo.IGainNormalization
paz['sensitivity'] = sensorinfo.IGain * filter.sensitivity
#print(paz)
st = read(path)
#print(st)
ppsd = PPSD(st[0].stats, paz)
ppsd.add(st)
#print(ppsd.times_data)
#print('len=',len(ppsd.times_data),ppsd.times_data[0][0],ppsd.times_data[0][1])
ppsd.plot(outfile4, xaxis_frequency=True, cmap=pqlx)
ppsd.plot_spectrogram(filename=outfile5, cmap='CMRmap_r')
if (sensor.IMainType<2000):
outfile6 = fDenDir + '/' + ChName + '.1-2s.sp.png'
ppsd.plot_temporal(1.414, filename=outfile6)
elif (2000<=sensor.IMainType and sensor.IMainType<3000): # 加速度模式)
outfile6 = fDenDir + '/' + ChName + '.1-2Hz.sp.png'
ppsd.plot_temporal(.707, filename=outfile6)
fBlankTime = 0.
for i in range(1,len(ppsd.times_data)): # 1个整时间段说明未丢数
dt = (ppsd.times_data[i][0] - ppsd.times_data[i-1][1])
if (dt < 0):
print(dt,ppsd.times_data[i][0],ppsd.times_data[i-1][1])
else:
fBlankTime += dt
runrate = 1.0 - fBlankTime / 86400.
date = datetime.date(ppsd.times_data[0][0].year,ppsd.times_data[0][0].month,ppsd.times_data[0][0].day)
set_or_create_Day_data(ch,date,runrate)
else:
print(file , "Name is error.")
tr.remove_response(inventory=inv,
pre_filt=pre_filt,
output="DISP",
water_level=60,
plot=True)
from obspy.io.xseed import Parser
from obspy.signal import PPSD
st = read("https://examples.obspy.org/BW.KW1..EHZ.D.2011.038")
tr = st.select(id="BW.KW1..EHZ")[0]
inv = read_inventory("https://examples.obspy.org/BW_KW1.xml")
ppsd = PPSD(tr.stats, metadata=inv)
ppsd.add(st)
ppsd.plot()
ppsd.plot_temporal([0.1, 1, 10])
ppsd.plot_spectrogram()
from obspy.imaging.cm import obspy_sequential
from obspy.signal.tf_misfit import cwt
st = obspy.read()
tr = st[0]
npts = tr.stats.npts
dt = tr.stats.delta
t = np.linspace(0, dt * npts, npts)
f_min = 1
f_max = 50
scalogram = cwt(tr.data, dt, 8, f_min, f_max)
