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Copy pathInSight_datagui.py
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InSight_datagui.py
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from tkinter import *
from tkinter import ttk, filedialog
from tkinter.filedialog import askopenfile
from PIL import Image, ImageTk
# Import these for the catalog generation
import csv
import requests
import xml.etree.ElementTree as ET
# Define the name and size of the interface
root = Tk()
root.title('InSight Event Data Processor')
root.geometry("1200x750")
################################################################################
# Put the functions here
################################################################################
############################################
# CATALOG MAKER TO SEARCH FOR THE EVENTS
############################################
def makecatalog():
global catbox
global Amode
global Bmode
global Cmode
global Dmode
global LFmode
global BBmode
global HZmode
global HFmode
global VFmode
Avar=Amode.get()
Bvar=Bmode.get()
Cvar=Cmode.get()
Dvar=Dmode.get()
LFvar=LFmode.get()
BBvar=BBmode.get()
HZvar=HZmode.get()
HFvar=HFmode.get()
VFvar=VFmode.get()
catbox.delete(0,END)
ns = {"q":"http://quakeml.org/xmlns/quakeml/1.2",
"d":"http://quakeml.org/xmlns/bed/1.2",
"catalog":"http://anss.org/xmlns/catalog/0.1",
"tensor":"http://anss.org/xmlns/tensor/0.1",
"mars":"http://quakeml.org/xmlns/bed/1.2/mars"}
#
tree = ET.parse('events_mars_extended_multiorigin_v12_2022-07-01.xml')
root = tree.getroot()
eventlist = root.findall('d:eventParameters',ns)
#
for ep in eventlist:
xevents = ep.findall('d:event',ns)
#
import os
if os.path.exists("SeismicCatalog"):
os.remove("SeismicCatalog")
#
for e in range (0, len(xevents)):
eventpar = xevents[e].findall('d:origin',ns)
eventarr = eventpar[0].findall('d:arrival',ns)
eventpha = eventarr[0].findall('d:phase',ns)
eventmars = eventpar[0].findall('mars:distance',ns)
if len(eventmars)>0:
eventdist = eventmars[0].findall('mars:value', ns)
eventdescr = xevents[e].findall('d:description',ns)
check= eventdescr[0].findall('d:type',ns)
checktxt=check[0].text
if checktxt == 'earthquake name':
eventname = eventdescr[0].findall('d:text',ns)
else:
eventname = eventdescr[1].findall('d:text',ns)
eventqual = eventpar[0].findall('mars:locationQuality',ns)
eventtype = xevents[e].findall('mars:type',ns)
eventcre = eventpar[0].findall('d:time', ns)
eventtime = eventcre[0].findall('d:value', ns)
name = eventname[0].text
etime = eventtime[0].text
epdist = eventdist[0].text
mtype = eventtype[0].text[53:72]
mqual = eventqual[0].text[63:68]
line = [name,' ', etime,' ', epdist,' ', mqual,' ', mtype + '\n']
listline = name + ' ' + etime + ' ' + epdist + ' ' + mqual + ' ' + mtype
#
if Avar==1 and mqual=='A':
if LFvar==1 and mtype=='LOW_FREQUENCY':
catbox.insert(e, listline)
elif BBvar==1 and mtype=='BROADBAND':
catbox.insert(e, listline)
elif HZvar==1 and mtype=='2.4_HZ':
catbox.insert(e, listline)
elif HFvar==1 and mtype=='HIGH_FREQUENCY':
catbox.insert(e, listline)
elif VFvar==1 and mtype=='VERY_HIGH_FREQUENCY':
catbox.insert(e, listline)
elif Bvar==1 and mqual=='B':
if LFvar==1 and mtype=='LOW_FREQUENCY':
catbox.insert(e, listline)
elif BBvar==1 and mtype=='BROADBAND':
catbox.insert(e, listline)
elif HZvar==1 and mtype=='2.4_HZ':
catbox.insert(e, listline)
elif HFvar==1 and mtype=='HIGH_FREQUENCY':
catbox.insert(e, listline)
elif VFvar==1 and mtype=='VERY_HIGH_FREQUENCY':
catbox.insert(e, listline)
elif Cvar==1 and mqual=='C':
if LFvar==1 and mtype=='LOW_FREQUENCY':
catbox.insert(e, listline)
elif BBvar==1 and mtype=='BROADBAND':
catbox.insert(e, listline)
elif HZvar==1 and mtype=='2.4_HZ':
catbox.insert(e, listline)
elif HFvar==1 and mtype=='HIGH_FREQUENCY':
catbox.insert(e, listline)
elif VFvar==1 and mtype=='VERY_HIGH_FREQUENCY':
catbox.insert(e, listline)
elif Dvar==1 and mqual=='D':
if LFvar==1 and mtype=='LOW_FREQUENCY':
catbox.insert(e, listline)
elif BBvar==1 and mtype=='BROADBAND':
catbox.insert(e, listline)
elif HZvar==1 and mtype=='2.4_HZ':
catbox.insert(e, listline)
elif HFvar==1 and mtype=='HIGH_FREQUENCY':
catbox.insert(e, listline)
elif VFvar==1 and mtype=='VERY_HIGH_FREQUENCY':
catbox.insert(e, listline)
############################################
# DATA DOWNLOADING AND BASIC PROCESS
############################################
def select_event(self):
global eventname
global catbox
global eventline
for i in catbox.curselection():
eventline = catbox.get(i)
eventname.set(eventline[0:6])
def eventdownload():
global eventline
for widget in waveframe2.winfo_children():
widget.destroy()
for widget in specframe2.winfo_children():
widget.destroy()
minfreq_st.set(0.01)
maxfreq_st.set(9.99)
mintime_st.set(-1800)
maxtime_st.set(5400)
amplitude_st.set(0)
import os
global catbox
global eventname
for i in catbox.curselection():
eventline = catbox.get(i)
lst = []
for pos,char in enumerate(eventline):
if(char == ' '):
lst.append(pos)
event = eventline[0:(lst[0])]
eventtime = eventline[(lst[1]+1):(lst[2])]
quality = eventline[(lst[5]+1):(lst[6])]
eventclass = eventline[(lst[7]+1):len(eventline)]
#
time_1 = str(eventtime)
time_2 = time_1
class_1 = str(eventclass)
class_2 = class_1
quality_1 = str(quality)
q1l = len(quality_1)-3
quality_2 = quality_1
from obspy import UTCDateTime
time = UTCDateTime(time_1)
starttime = time - 60*30
endtime = time + 60*90
fileraw = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
filedisp = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
filevel = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
fileacc = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
checkraw = os.path.isfile(fileraw)
checkdisp = os.path.isfile(filedisp)
checkvel = os.path.isfile(filevel)
checkacc = os.path.isfile(fileacc)
if (checkraw == True and checkdisp == True and checkvel == True and checkacc == True):
ranval = 1
else:
net = 'XB'
sta = 'ELYSE'
loc = '02'
chan = 'BH*'
from obspy.clients.fdsn import Client
client = Client('IRIS')
st = client.get_waveforms(net, sta, loc, chan, starttime, endtime, attach_response = True)
for tr in st.select(component='U'):
st.merge(tr)
timeE1=st[0].stats.starttime;
timeN1=st[1].stats.starttime;
timeZ1=st[2].stats.starttime;
stime=max(timeE1, timeN1, timeZ1)
timeEe=st[0].stats.endtime;
timeNe=st[1].stats.endtime;
timeZe=st[2].stats.endtime;
etime=min(timeEe, timeNe, timeZe)
st[0].trim(stime, etime);
st[1].trim(stime, etime);
st[2].trim(stime, etime);
import obspy
from obspy import read
from obspy import read_inventory
inv = obspy.read_inventory('ELYSE.dataless')
for q in range(1,4):
if q==1:
comp=('DISP')
elif q==2:
comp=('VEL')
elif q==3:
comp=('ACC')
st_rem1=st.copy()
pre_filt = [0.005, 0.01, 8, 10] #for 20 Hz data
st_rem1.remove_response(output = comp, taper_fraction=0.05, pre_filt = pre_filt, inventory = inv);
sta = inv[0][0]
azs = []
dips = []
trs = []
channels = ['BHU','BHV','BHW']
for chn in channels:
chndata = sta.select(channel=chn)[0]
azs.append(chndata.azimuth)
dips.append(chndata.dip)
from obspy.signal.rotate import rotate2zne
(z, n, e) = rotate2zne(st_rem1[0], azs[0], dips[0], st_rem1[1], azs[1], dips[1], st_rem1[2], azs[2], dips[2])
from scipy import signal
lenz = len(z)
alp = 5e-2
window = signal.tukey(len(z), alpha = alp)
z = z * window
n = n * window
e = e * window
st_new1=st_rem1.copy()
st_new1[0].data = z;
st_new1[0].stats.channel = 'BHZ'
st_new1[1].data = n;
st_new1[1].stats.channel = 'BHN'
st_new1[2].data = e;
st_new1[2].stats.channel = 'BHE'
path = ('DATA/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('DATA/' + class_2 + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('DATA/' + class_2 + '/' + quality_2 + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('DATA/' + class_2 + '/' + quality_2 + '/' + event + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
filename1 = (path + '/' + event + '_' + comp + '.mseed')
st_new1.write(filename1, format = 'MSEED')
#
targetfile=(path + '/' + event + '.mseed')
from shutil import copyfile
#copyfile('fdsnws_msds.mseed', targetfile)
st.write(targetfile, format='MSEED')
def calc_spectrogram(trace,winlen_sec,overlap):
import matplotlib.mlab as mlab
from obspy.signal.util import next_pow_2
winlen = int(winlen_sec*trace.stats.sampling_rate)
Fs = trace.stats.sampling_rate
noverlap = int(winlen*overlap)
p,f,t = mlab.specgram(trace.data, NFFT=winlen,
Fs=Fs, noverlap=noverlap,
pad_to=next_pow_2(winlen)*4)
return p,f,t
def find_nearest(array, value):
import numpy as np
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return idx
def specmaker():
from obspy import read
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.figure import Figure
import matplotlib.dates as mdates
global eventname
global speccomp
global eventline
global mintime_st
global maxtime_st
lst = []
for pos,char in enumerate(eventline):
if(char == ' '):
lst.append(pos)
event = eventline[0:(lst[0])]
eventtime = eventline[(lst[1]+1):(lst[2])]
quality = eventline[(lst[5]+1):(lst[6])]
eventclass = eventline[(lst[7]+1):len(eventline)]
if (speccomp.get() == '1'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
elif (speccomp.get() == '2'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_DISP.mseed')
elif (speccomp.get() == '3'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_VEL.mseed')
elif (speccomp.get() == '4'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_ACC.mseed')
#set main parameters
dirty_glitch_remover = True
winlen_sec = 50.0
overlap = 0.9
bp_fmin = 1/5.0
bp_fmax = 1/3.0
#set mdates parameters for plotting
hours = mdates.HourLocator()
mins = mdates.MinuteLocator(byminute=np.arange(30,60,30))
cmap='plasma'
st = read(file)
if (speccomp.get() == '2' or speccomp.get() == '3' or speccomp.get() == '4'):
#calculate Z spectrogram------------------------
tr = st.select(channel='BHZ').copy()[0]
time = np.linspace(0,tr.stats.npts*tr.stats.delta,tr.stats.npts)
bhz_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#N spectrogram------------------------
tr = st.select(channel='BHN').copy()[0]
bhn_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#E spectrogram------------------------
tr = st.select(channel='BHE').copy()[0]
bhe_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
elif (speccomp.get() == '1'):
#calculate Z spectrogram------------------------
tr = st.select(channel='BHU').copy()[0]
time = np.linspace(0,tr.stats.npts*tr.stats.delta,tr.stats.npts)
bhz_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#N spectrogram------------------------
tr = st.select(channel='BHV').copy()[0]
bhn_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#E spectrogram------------------------
tr = st.select(channel='BHW').copy()[0]
bhe_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
for widget in specframe2.winfo_children():
widget.destroy()
fig = plt.figure(dpi=70, layout='constrained')
plt.clf()
cm=2.54
fig.set_size_inches(164/cm, 164/cm)
gs = fig.add_gridspec(1, 3)
axs = gs.subplots(sharex = False, sharey=False)
if (speccomp.get() == '1'):
vmin = -10
vmax = 50
if (speccomp.get() == '2'):
vmin = -250
vmax = -200
elif (speccomp.get() == '3'):
vmin = -230 #dB (for colorbar)
vmax = -180 #dB (for colorbar)
elif (speccomp.get() == '4'):
vmin = -210
vmax = -160
tw = [-1800, 5400];
lfw = [minfreq_st.get(), minfreq_st.get()]
hfw = [maxfreq_st.get(), maxfreq_st.get()]
fw = [0, 10];
ltw = [mintime_st.get(), mintime_st.get()]
htw = [maxtime_st.get(), maxtime_st.get()]
t = t-1800;
###
axs[0].pcolormesh(t,f,10*np.log10(bhz_p), vmin=vmin,vmax=vmax,cmap=cmap);
axs[0].plot(tw,lfw, '--', color = 'white');
axs[0].plot(tw,hfw, '--', color = 'white');
axs[0].plot(ltw,fw, '--', color = 'white');
axs[0].plot(htw,fw, '--', color = 'white');
titlestrZ='BHZ'
if (speccomp.get() == '1'):
titlestrZ = 'BHU'
axs[0].set_title(titlestrZ);
axs[0].set_ylabel('Frequency (Hz)');
axs[0].set_xlabel('Time (s)');
axs[0].set_xlim(-1800, 5400)
axs[0].patch.set_facecolor('#ececec')
#
axs[1].pcolormesh(t,f,10*np.log10(bhn_p), vmin=vmin,vmax=vmax,cmap=cmap);
axs[1].plot(tw,lfw, '--', color = 'white');
axs[1].plot(tw,hfw, '--', color = 'white');
axs[1].plot(ltw,fw, '--', color = 'white');
axs[1].plot(htw,fw, '--', color = 'white');
titlestrN='BHN'
if (speccomp.get() == '1'):
titlestrN = 'BHV'
axs[1].set_title(titlestrN);
axs[1].set_ylabel('Frequency (Hz)');
axs[1].set_xlabel('Time (s)');
axs[1].set_xlim(-1800, 5400)
axs[1].patch.set_facecolor('#ececec')
#
axs[2].pcolormesh(t,f,10*np.log10(bhn_p), vmin=vmin,vmax=vmax,cmap=cmap);
axs[2].plot(tw,lfw, '--', color = 'white');
axs[2].plot(tw,hfw, '--', color = 'white');
axs[2].plot(ltw,fw, '--', color = 'white');
axs[2].plot(htw,fw, '--', color = 'white');
titlestrE='BHE'
if (speccomp.get() == '1'):
titlestrE = 'BHW'
axs[2].set_title(titlestrE);
axs[2].set_ylabel('Frequency (Hz)');
axs[2].set_xlabel('Time (s)');
axs[2].set_xlim(-1800, 5400)
axs[2].patch.set_facecolor('#ececec')
if (speccomp.get() == '1'):
suptitletext = str(eventname.get()) + ' | Raw data | Event time: ' + eventtime;
elif (speccomp.get() == '2'):
suptitletext = str(eventname.get()) + ' | Displacement | Event time: ' + eventtime;
elif (speccomp.get() == '3'):
suptitletext = str(eventname.get()) + ' | Velocity | Event time: ' + eventtime;
elif (speccomp.get() == '4'):
suptitletext = str(eventname.get()) + ' | Acceleration | Event time: ' + eventtime;
fig.suptitle(suptitletext)
fig.patch.set_facecolor('#ececec')
#fig2.tight_layout()
canvaswaves = FigureCanvasTkAgg(fig, specframe2)
canvaswaves.draw()
canvaswaves.get_tk_widget().pack()
def specfigmaker():
from obspy import read
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.figure import Figure
import matplotlib.dates as mdates
global eventname
global speccomp
global eventline
global mintime_st
global maxtime_st
lst = []
for pos,char in enumerate(eventline):
if(char == ' '):
lst.append(pos)
event = eventline[0:(lst[0])]
eventtime = eventline[(lst[1]+1):(lst[2])]
quality = eventline[(lst[5]+1):(lst[6])]
eventclass = eventline[(lst[7]+1):len(eventline)]
if (speccomp.get() == '1'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
elif (speccomp.get() == '2'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_DISP.mseed')
elif (speccomp.get() == '3'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_VEL.mseed')
elif (speccomp.get() == '4'):
file = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_ACC.mseed')
#set main parameters
dirty_glitch_remover = True
winlen_sec = 50.0
overlap = 0.9
bp_fmin = 1/5.0
bp_fmax = 1/3.0
#set mdates parameters for plotting
hours = mdates.HourLocator()
mins = mdates.MinuteLocator(byminute=np.arange(30,60,30))
cmap='plasma'
st = read(file)
if (speccomp.get() == '2' or speccomp.get() == '3' or speccomp.get() == '4'):
#calculate Z spectrogram------------------------
tr = st.select(channel='BHZ').copy()[0]
time = np.linspace(0,tr.stats.npts*tr.stats.delta,tr.stats.npts)
bhz_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#N spectrogram------------------------
tr = st.select(channel='BHN').copy()[0]
bhn_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#E spectrogram------------------------
tr = st.select(channel='BHE').copy()[0]
bhe_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
elif (speccomp.get() == '1'):
#calculate Z spectrogram------------------------
tr = st.select(channel='BHU').copy()[0]
time = np.linspace(0,tr.stats.npts*tr.stats.delta,tr.stats.npts)
bhz_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#N spectrogram------------------------
tr = st.select(channel='BHV').copy()[0]
bhn_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
#E spectrogram------------------------
tr = st.select(channel='BHW').copy()[0]
bhe_p,f,t = calc_spectrogram(tr,winlen_sec,overlap=overlap)
fig3 = plt.figure(dpi=200, layout='constrained')
fig3.subplots_adjust(wspace=0.5)
plt.clf()
cm=2.54
fig3.set_size_inches(40/cm, 10/cm)
gs = fig3.add_gridspec(1, 3)
axs = gs.subplots(sharex = False, sharey=False)
if (speccomp.get() == '1'):
vmin = -10
vmax = 50
if (speccomp.get() == '2'):
vmin = -250
vmax = -200
elif (speccomp.get() == '3'):
vmin = -230 #dB (for colorbar)
vmax = -180 #dB (for colorbar)
elif (speccomp.get() == '4'):
vmin = -210
vmax = -160
tw = [-1800, 5400];
lfw = [minfreq_st.get(), minfreq_st.get()]
hfw = [maxfreq_st.get(), maxfreq_st.get()]
fw = [0, 10];
ltw = [mintime_st.get(), mintime_st.get()]
htw = [maxtime_st.get(), maxtime_st.get()]
t = t-1800;
###
axs[0].pcolormesh(t,f,10*np.log10(bhz_p), vmin=vmin,vmax=vmax,cmap=cmap);
axs[0].plot(tw,lfw, '--', color = 'white');
axs[0].plot(tw,hfw, '--', color = 'white');
axs[0].plot(ltw,fw, '--', color = 'white');
axs[0].plot(htw,fw, '--', color = 'white');
titlestrZ='BHZ'
if (speccomp.get() == '1'):
titlestrZ = 'BHU'
axs[0].set_title(titlestrZ);
axs[0].set_ylabel('Frequency (Hz)');
axs[0].set_xlabel('Time (s)');
axs[0].set_xlim(-1800, 5400)
axs[0].patch.set_facecolor('#ffffff')
#
axs[1].pcolormesh(t,f,10*np.log10(bhn_p), vmin=vmin,vmax=vmax,cmap=cmap);
axs[1].plot(tw,lfw, '--', color = 'white');
axs[1].plot(tw,hfw, '--', color = 'white');
axs[1].plot(ltw,fw, '--', color = 'white');
axs[1].plot(htw,fw, '--', color = 'white');
titlestrN='BHN'
if (speccomp.get() == '1'):
titlestrN = 'BHV'
axs[1].set_title(titlestrN);
axs[1].set_ylabel('Frequency (Hz)');
axs[1].set_xlabel('Time (s)');
axs[1].set_xlim(-1800, 5400)
axs[1].patch.set_facecolor('#ffffff')
#
axs[2].pcolormesh(t,f,10*np.log10(bhn_p), vmin=vmin,vmax=vmax,cmap=cmap);
axs[2].plot(tw,lfw, '--', color = 'white');
axs[2].plot(tw,hfw, '--', color = 'white');
axs[2].plot(ltw,fw, '--', color = 'white');
axs[2].plot(htw,fw, '--', color = 'white');
titlestrE='BHE'
if (speccomp.get() == '1'):
titlestrE = 'BHW'
axs[2].set_title(titlestrE);
axs[2].set_ylabel('Frequency (Hz)');
axs[2].set_xlabel('Time (s)');
axs[2].set_xlim(-1800, 5400)
axs[2].patch.set_facecolor('#ffffff')
if (speccomp.get() == '1'):
suptitletext = str(eventname.get()) + ' | Raw data | Event time: ' + eventtime;
elif (speccomp.get() == '2'):
suptitletext = str(eventname.get()) + ' | Displacement | Event time: ' + eventtime;
elif (speccomp.get() == '3'):
suptitletext = str(eventname.get()) + ' | Velocity | Event time: ' + eventtime;
elif (speccomp.get() == '4'):
suptitletext = str(eventname.get()) + ' | Acceleration | Event time: ' + eventtime;
fig3.suptitle(suptitletext)
fig3.patch.set_facecolor('#ffffff')
import os
path = ('Figures/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Spectrograms/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Spectrograms/' + str(eventclass) + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Spectrograms/' + str(eventclass) + '/' + str(quality) + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Spectrograms/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
if (speccomp.get() == '1'):
specfigfile = (path + '/' + str(eventname.get()) + '_raw.png')
elif (speccomp.get() == '2'):
specfigfile = (path + '/' + str(eventname.get()) + '_DISP.png')
elif (speccomp.get() == '3'):
specfigfile = (path + '/' + str(eventname.get()) + '_VEL.png')
elif (speccomp.get() == '4'):
specfigfile = (path + '/' + str(eventname.get()) + '_ACC.png')
fig3.savefig(specfigfile)
def wavemaker():
from obspy import read
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.figure import Figure
global eventname
global speccomp
global eventline
global minfreq_st
global maxfreq_st
global mintime_st
global maxtime_st
global amplitude_st
global eventline
for widget in waveframe2.winfo_children():
widget.destroy()
lst = []
for pos,char in enumerate(eventline):
if(char == ' '):
lst.append(pos)
event = eventline[0:(lst[0])]
eventtime = eventline[(lst[1]+1):(lst[2])]
quality = eventline[(lst[5]+1):(lst[6])]
eventclass = eventline[(lst[7]+1):len(eventline)]
specmaker()
fileraw = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
filedisp = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_DISP.mseed')
filevel = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_VEL.mseed')
fileacc = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_ACC.mseed')
if (speccomp.get() == '1'):
st = read(fileraw)
elif (speccomp.get() == '2'):
st = read(filedisp)
elif (speccomp.get() == '3'):
st = read(filevel)
elif (speccomp.get() == '4'):
st = read(fileacc)
timevect = st[0].times() - 1800;
Zdata = st[0].data
Ndata = st[1].data
Edata = st[2].data
from scipy import signal
sf = timevect[1]-timevect[0];
fs=1/sf;
nyq = 0.5 * fs;
lowcut = float(minfreq_st.get());
highcut = float(maxfreq_st.get());
low = lowcut / nyq;
high = highcut / nyq;
b, a = signal.butter(2, [low, high], btype='band')
Zf = signal.filtfilt(b, a, Zdata)
Nf = signal.filtfilt(b, a, Ndata)
Ef = signal.filtfilt(b, a, Edata)
mint = float(mintime_st.get());
maxt = float(maxtime_st.get());
fig2 = plt.figure(dpi=70, layout='constrained')
plt.clf()
cm=2.54
fig2.set_size_inches(164/cm, 164/cm)
gs = fig2.add_gridspec(3, 1)
axs = gs.subplots(sharex = True, sharey=True)
if (speccomp.get() == '1'):
yvalues_txt = 'DU'
elif (speccomp.get() == '2'):
yvalues_txt = 'Displacement (m)'
elif (speccomp.get() == '3'):
yvalues_txt = 'Velocity (m/s)'
elif (speccomp.get() == '4'):
yvalues_txt = 'Acceleration (m/s^2)'
# Now trim
start_t = find_nearest(timevect, mint)
stop_t = find_nearest(timevect, maxt)
timef = timevect[start_t:stop_t]
Zfn = Zf[start_t:stop_t]
Nfn = Nf[start_t:stop_t]
Efn = Ef[start_t:stop_t]
###
axs[0].plot(timef,Zfn,'k-', linewidth=0.5);
titlestrZ='BHZ | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
if (speccomp.get() == '1'):
titlestrZ='BHU | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
axs[0].set_title(titlestrZ);
axs[0].set_ylabel(yvalues_txt);
axs[0].set_xlabel('Time (s)');
axs[0].set_xlim(mint, maxt);
if float(amplitude_st.get()) > 0:
axs[0].set_ylim(-float(amplitude_st.get()), float(amplitude_st.get()));
axs[0].patch.set_facecolor('#ececec')
#
axs[1].plot(timef,Nfn,'k-', linewidth=0.5);
titlestrN='BHN | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
if (speccomp.get() == '1'):
titlestrN='BHV | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
axs[1].set_title(titlestrN);
axs[1].set_ylabel(yvalues_txt);
axs[1].set_xlabel('Time (s)');
axs[1].set_xlim(mint, maxt);
axs[1].patch.set_facecolor('#ececec')
#
axs[2].plot(timef,Efn,'k-', linewidth=0.5);
titlestrE='BHE | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
if (speccomp.get() == '1'):
titlestrE='BHW | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
axs[2].set_title(titlestrE);
axs[2].set_ylabel(yvalues_txt);
axs[2].set_xlabel('Time (s)');
axs[2].set_xlim(mint, maxt);
axs[2].patch.set_facecolor('#ececec')
suptitletext = str(eventname.get()) + ' | Event time: ' + eventtime;
fig2.suptitle(suptitletext)
fig2.patch.set_facecolor('#ececec')
#fig2.tight_layout()
canvaswaves = FigureCanvasTkAgg(fig2, waveframe2)
canvaswaves.draw()
canvaswaves.get_tk_widget().pack()
print ('It works fine')
def seisfigmaker():
from obspy import read
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.figure import Figure
global eventname
global speccomp
global eventline
global minfreq_st
global maxfreq_st
global mintime_st
global maxtime_st
global amplitude_st
global eventline
lst = []
for pos,char in enumerate(eventline):
if(char == ' '):
lst.append(pos)
event = eventline[0:(lst[0])]
eventtime = eventline[(lst[1]+1):(lst[2])]
quality = eventline[(lst[5]+1):(lst[6])]
eventclass = eventline[(lst[7]+1):len(eventline)]
fileraw = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '.mseed')
filedisp = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_DISP.mseed')
filevel = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_VEL.mseed')
fileacc = ('DATA/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/' + str(eventname.get()) + '_ACC.mseed')
if (speccomp.get() == '1'):
st = read(fileraw)
elif (speccomp.get() == '2'):
st = read(filedisp)
elif (speccomp.get() == '3'):
st = read(filevel)
elif (speccomp.get() == '4'):
st = read(fileacc)
timevect = st[0].times() - 1800;
Zdata = st[0].data
Ndata = st[1].data
Edata = st[2].data
from scipy import signal
sf = timevect[1]-timevect[0];
fs=1/sf;
nyq = 0.5 * fs;
lowcut = float(minfreq_st.get());
highcut = float(maxfreq_st.get());
low = lowcut / nyq;
high = highcut / nyq;
b, a = signal.butter(2, [low, high], btype='band')
Zf = signal.filtfilt(b, a, Zdata)
Nf = signal.filtfilt(b, a, Ndata)
Ef = signal.filtfilt(b, a, Edata)
mint = float(mintime_st.get());
maxt = float(maxtime_st.get());
fig4 = plt.figure(dpi=200, layout='constrained')
fig4.subplots_adjust(hspace=0.5)
plt.clf()
cm=2.54
fig4.set_size_inches(40/cm, 20/cm)
gs = fig4.add_gridspec(3, 1)
axs = gs.subplots(sharex = True, sharey=True)
if (speccomp.get() == '1'):
yvalues_txt = 'DU'
elif (speccomp.get() == '2'):
yvalues_txt = 'Displacement (m)'
elif (speccomp.get() == '3'):
yvalues_txt = 'Velocity (m/s)'
elif (speccomp.get() == '4'):
yvalues_txt = 'Acceleration (m/s^2)'
# Now trim
start_t = find_nearest(timevect, mint)
stop_t = find_nearest(timevect, maxt)
timef = timevect[start_t:stop_t]
Zfn = Zf[start_t:stop_t]
Nfn = Nf[start_t:stop_t]
Efn = Ef[start_t:stop_t]
###
axs[0].plot(timef,Zfn,'k-', linewidth=0.5);
titlestrZ='BHZ | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
if (speccomp.get() == '1'):
titlestrZ='BHU | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
axs[0].set_title(titlestrZ);
axs[0].set_ylabel(yvalues_txt);
axs[0].set_xlabel('Time (s)');
axs[0].set_xlim(mint, maxt);
if float(amplitude_st.get()) > 0:
axs[0].set_ylim(-float(amplitude_st.get()), float(amplitude_st.get()));
axs[0].patch.set_facecolor('#ffffff')
#
axs[1].plot(timef,Nfn,'k-', linewidth=0.5);
titlestrN='BHN | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
if (speccomp.get() == '1'):
titlestrN='BHV | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
axs[1].set_title(titlestrN);
axs[1].set_ylabel(yvalues_txt);
axs[1].set_xlabel('Time (s)');
axs[1].set_xlim(mint, maxt);
axs[1].patch.set_facecolor('#ffffff')
#
axs[2].plot(timef,Efn,'k-', linewidth=0.5);
titlestrE='BHE | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
if (speccomp.get() == '1'):
titlestrE='BHW | f = ' + str(lowcut) + '-' + str(highcut) + ' Hz'
axs[2].set_title(titlestrE);
axs[2].set_ylabel(yvalues_txt);
axs[2].set_xlabel('Time (s)');
axs[2].set_xlim(mint, maxt);
axs[2].patch.set_facecolor('#ffffff')
fig4.patch.set_facecolor('#ffffff')
suptitletext = str(eventname.get()) + ' | Event time: ' + eventtime;
fig4.suptitle(suptitletext)
print ('It works fine')
import os
path = ('Figures/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Seismograms/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Seismograms/' + str(eventclass) + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Seismograms/' + str(eventclass) + '/' + str(quality) + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
path = ('Figures/Seismograms/' + str(eventclass) + '/' + str(quality) + '/' + str(eventname.get()) + '/')
check = os.path.isdir(path)
if check == False:
os.mkdir(path)
if (speccomp.get() == '1'):
seisfigfile = (path + '/' + str(eventname.get()) + '_raw.png')
elif (speccomp.get() == '2'):
seisfigfile = (path + '/' + str(eventname.get()) + '_DISP.png')
elif (speccomp.get() == '3'):
seisfigfile = (path + '/' + str(eventname.get()) + '_VEL.png')
elif (speccomp.get() == '4'):
seisfigfile = (path + '/' + str(eventname.get()) + '_ACC.png')
fig4.savefig(seisfigfile)
def our_command():
pass
################################################################################
# Make the interface
################################################################################
# Create menu items
my_menu = Menu(root)
root.config(menu = my_menu)
file_menu = Menu(my_menu)
my_menu.add_cascade(label='File', menu=file_menu)
file_menu.add_command(label='New...', command=our_command)
help_menu = Menu(my_menu)
my_menu.add_cascade(label='Help', menu = help_menu)
help_menu.add_command(label='New...', command=our_command)
# Add the catalog xml file
# Put the catalog on the left side of the Interface
catframe = Frame(root, width = 345, height = 740, borderwidth=1, relief='solid')
catframe.pack_propagate(0)
catframe.place(x=5, y=5)
# Button for catalog creation
runButton = Button(catframe, text='SEARCH EVENTS IN CATALOG', fg='black', font='Arial 14 bold', command=makecatalog)
runButton.config(width=37, height=2)
runButton.place(x=5, y=5)
runButton.pack_propagate(0)
catframe2 = Frame(catframe, width = 335, height = 680, borderwidth=0, relief='solid')
catframe2.pack_propagate(0)
catframe2.place(x=5,y=50)
# Add the options
qualitytxt = Label(catframe2, text='Quality', font = 'Arial 11 bold')
qualitytxt.place(x=12, y=0)
Amode = IntVar()
Abutton = Checkbutton(catframe2, text='A', variable=Amode, onvalue = 1, offvalue = 0, font = 'Arial 10', state='active')
Abutton.place(x=0, y=20)