def plot_xml_response(input_dics):
"""
plot the transfer function of stationXML file(s)
:param input_dics:
:return:
"""
plt.rc('font', family='serif')
print('[INFO] plotting StationXML file/files in: %s' % \
input_dics['datapath'])
if not os.path.isdir('./stationxml_plots'):
print('[INFO] creating stationxml_plots directory...')
os.mkdir('./stationxml_plots')
# assign the input_dics parameters to the running parameters:
stxml_dir = input_dics['datapath']
plotxml_datetime = input_dics['plotxml_date']
min_freq = input_dics['plotxml_min_freq']
output = input_dics['plotxml_output']
if 'dis' in output.lower():
output = 'DISP'
elif 'vel' in output.lower():
output = 'VEL'
elif 'acc' in output.lower():
output = 'ACC'
else:
output = output.upper()
start_stage = input_dics['plotxml_start_stage']
end_stage_input = input_dics['plotxml_end_stage']
percentage = input_dics['plotxml_percentage'] / 100.
threshold = input_dics['plotxml_phase_threshold']
plot_response = input_dics['plotxml_response']
plotstage12 = input_dics['plotxml_plotstage12']
plotpaz = input_dics['plotxml_paz']
plotallstages = input_dics['plotxml_allstages']
plot_map_compare = input_dics['plotxml_map_compare']
if os.path.isfile(stxml_dir):
addxml_all = glob.glob(os.path.join(stxml_dir))
elif os.path.isdir(stxml_dir):
addxml_all = glob.glob(os.path.join(stxml_dir, 'STXML.*'))
else:
try:
addxml_all = glob.glob(os.path.join(stxml_dir))
except Exception as error:
print('[ERROR] %s' % error)
sys.exit('[ERROR] wrong address: %s' % stxml_dir)
addxml_all.sort()
sta_lat = []
sta_lon = []
latlon_color = []
report_fio = open(os.path.join('stationxml_plots', 'report_stationxml'),
'wt')
report_fio.writelines('channel_id\t\t\t\t%(phase_diff)\t\t'
'abs(max_diff)\tlat\t\t\tlon\t\t\tdatetime\t'
'decimation delay\tdecimation corr\n')
report_fio.close()
add_counter = 0
for addxml in addxml_all:
end_stage = end_stage_input
add_counter += 1
print(40 * '-')
print('%s/%s' % (add_counter, len(addxml_all)))
try:
xml_inv = read_inventory(addxml, format='stationXML')
print("[STATIONXML] %s" % addxml)
# we only take into account the first channel...
cha_name = xml_inv.get_contents()['channels'][0]
if plotxml_datetime:
cha_date = plotxml_datetime
else:
cha_date = xml_inv.networks[0][0][-1].start_date
print('[INFO] plotxml_date has not been set, the start_date ' \
'of the last channel in stationXML file will be used ' \
'instead: %s' % cha_date)
xml_response = xml_inv.get_response(cha_name, cha_date + 0.1)
if xml_inv[0][0][0].sample_rate:
sampling_rate = xml_inv[0][0][0].sample_rate
else:
for stage in xml_response.response_stages[::-1]:
if (stage.decimation_input_sample_rate is not None) and\
(stage.decimation_factor is not None):
sampling_rate = (stage.decimation_input_sample_rate /
stage.decimation_factor)
break
t_samp = 1.0 / sampling_rate
nyquist = sampling_rate / 2.0
nfft = int(sampling_rate / min_freq)
end_stage = min(len(xml_response.response_stages), end_stage)
if plotallstages:
plot_xml_plotallstages(xml_response, t_samp, nyquist, nfft,
min_freq, output, start_stage,
end_stage, cha_name)
try:
cpx_response, freq = xml_response.get_evalresp_response(
t_samp=t_samp,
nfft=nfft,
output=output,
start_stage=start_stage,
end_stage=end_stage)
cpx_12, freq = xml_response.get_evalresp_response(
t_samp=t_samp,
nfft=nfft,
output=output,
start_stage=1,
end_stage=2)
except Exception as error:
print('[WARNING] %s' % error)
continue
paz, decimation_delay, decimation_correction = \
convert_xml_paz(xml_response, output, cha_name, cha_date)
if not paz:
continue
h, f = pazToFreqResp(paz['poles'],
paz['zeros'],
paz['gain'],
1. / sampling_rate,
nfft,
freq=True)
phase_resp = np.angle(cpx_response)
phase_12 = np.angle(cpx_12)
if plot_response:
plt.figure(figsize=(20, 10))
plt.suptitle(cha_name, size=24, weight='bold')
if plotpaz or plotstage12:
plt.subplot(2, 2, 1)
else:
plt.subplot(2, 1, 1)
plt.loglog(freq,
abs(cpx_response),
color='blue',
lw=3,
label='full-resp')
if plotstage12:
plt.loglog(freq,
abs(cpx_12),
ls='--',
color='black',
lw=3,
label='Stage1,2')
if plotpaz:
plt.loglog(f,
abs(h) * paz['sensitivity'],
color='red',
lw=3,
label='PAZ')
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.ylabel('Amplitude', size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist + 5)
plt.ylim(ymax=max(1.2 * abs(cpx_response)))
plt.legend(loc=0, prop={'size': 18, 'weight': 'bold'})
plt.grid()
if plotpaz or plotstage12:
plt.subplot(2, 2, 3)
else:
plt.subplot(2, 1, 2)
plt.semilogx(freq,
phase_resp,
color='blue',
lw=3,
label='full-resp')
if plotstage12:
plt.semilogx(freq,
phase_12,
ls='--',
color='black',
lw=3,
label='Stage1,2')
if plotpaz:
plt.semilogx(f,
np.angle(h),
color='red',
lw=3,
label='PAZ')
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.xlabel('Frequency [Hz]', size=24, weight='bold')
plt.ylabel('Phase [rad]', size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist + 5)
plt.legend(loc=0, prop={'size': 18, 'weight': 'bold'})
plt.grid()
if plotstage12 or plotpaz:
ax_222 = plt.subplot(2, 2, 2)
y_label = 'Amplitude ratio'
if plotstage12:
plt.loglog(freq,
abs(abs(cpx_response) / abs(cpx_12)),
'--',
color='black',
lw=3,
label='|full-resp|/|Stage1,2|')
y_label = '|full-resp|/|Stage1,2|'
amp_ratio = 1
if plotpaz:
amp_ratio = abs(
abs(cpx_response) / (abs(h) * paz['sensitivity']))
plt.loglog(f,
amp_ratio,
color='red',
lw=3,
label='|full-resp|/|PAZ|')
y_label = '|full-resp|/|PAZ|'
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.axvline(percentage * nyquist,
ls="--",
color='black',
lw=3)
plt.ylabel(y_label, size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist + 5)
plt.ylim(
ymax=1.2 *
max(amp_ratio[np.logical_not(np.isnan(amp_ratio))]))
plt.grid()
ax_224 = plt.subplot(2, 2, 4)
y_label = 'Phase difference [rad]'
if plotstage12:
plt.semilogx(freq,
abs(phase_resp - phase_12),
color='black',
ls='--',
lw=3,
label='|full-resp - Stage1,2|')
y_label = '|full-resp - Stage1,2| [rad]'
if plotpaz:
plt.semilogx(freq,
abs(phase_resp - np.angle(h)),
color='red',
lw=3,
label='|full-resp - PAZ|')
y_label = '|full-resp - PAZ|'
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.axvline(percentage * nyquist,
ls="--",
color='black',
lw=3)
plt.xlabel('Frequency [Hz]', size=24, weight='bold')
plt.ylabel(y_label, size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist + 5)
plt.grid()
plt.savefig(os.path.join('stationxml_plots',
cha_name + '.png'))
plt.close()
# compare = abs(phase[:int(0.8*len(phase))] -
# np.angle(h[:int(0.8*len(phase))]))
# if len(compare[compare>0.1]) > 0:
# lat_red.append(xml_inv.get_coordinates(cha_name)['latitude'])
# lon_red.append(xml_inv.get_coordinates(cha_name)['longitude'])
# print cha_name
# print paz
# else:
# lat_blue.append(xml_inv.get_coordinates(cha_name)['latitude'])
# lon_blue.append(xml_inv.get_coordinates(cha_name)['longitude'])
phase_resp_check = phase_resp[:int(percentage * len(phase_resp))]
phase_h_check = np.angle(h)[:int(percentage * len(np.angle(h)))]
if not len(phase_resp_check) == len(phase_h_check):
sys.exit('[ERROR] lengths of phase responses do not match: '
'%s (StationXML) != %s (PAZ)' %
(len(phase_resp_check), len(phase_h_check)))
compare = abs(phase_resp_check - phase_h_check)
percent_compare = \
float(len(compare[compare >= 0.05]))/len(compare)*100
latlondep = get_coordinates(xml_inv.networks[0], cha_name,
cha_date + 0.1)
sta_lat.append(latlondep['latitude'])
sta_lon.append(latlondep['longitude'])
d_c = np.sum(decimation_delay) - np.sum(decimation_correction)
if not d_c == 0:
latlon_color.append(0.)
else:
latlon_color.append(percent_compare)
if percent_compare >= threshold:
plot_xml_plotallstages(xml_response, t_samp, nyquist, nfft,
min_freq, output, start_stage,
end_stage, cha_name)
report_fio = open(
os.path.join('stationxml_plots', 'report_stationxml'), 'at')
report_fio.writelines(
'%s\t\t\t%6.2f\t\t\t%6.2f\t\t\t%6.2f\t\t%7.2f\t\t%s\t%s\t%s\n'
% (cha_name, round(percent_compare, 2),
round(max(abs(compare)), 2), round(
sta_lat[-1], 2), round(sta_lon[-1], 2), cha_date,
np.sum(decimation_delay), np.sum(decimation_correction)))
report_fio.close()
except Exception as error:
print('[Exception] %s' % error)
if plot_map_compare:
plt.figure()
m = Basemap(projection='robin', lon_0=input_dics['plot_lon0'], lat_0=0)
m.fillcontinents()
m.drawparallels(np.arange(-90., 120., 30.))
m.drawmeridians(np.arange(0., 420., 60.))
m.drawmapboundary()
x, y = m(sta_lon, sta_lat)
m.scatter(x,
y,
100,
c=latlon_color,
marker="v",
edgecolor='none',
zorder=10,
cmap='rainbow')
plt.colorbar(orientation='horizontal')
plt.savefig(os.path.join('stationxml_plots', 'compare_plots.png'))
plt.show()
raw_input_built('Press Enter...')
sys.exit('[EXIT] obspyDMT finished normally...')
def plot_sta_ev_ray(input_dics, events):
"""
plot stations, events and ray paths on a map using basemap.
:param input_dics:
:param events:
:return:
"""
plt.figure(figsize=(20., 10.))
plt_stations = input_dics['plot_sta']
plt_availability = input_dics['plot_availability']
plt_events = input_dics['plot_ev']
plt_ray_path = input_dics['plot_ray']
if input_dics['evlatmin'] is None:
evlatmin = -90
evlatmax = +90
evlonmin = -180
evlonmax = +180
glob_map = True
else:
evlatmin = input_dics['evlatmin']
evlatmax = input_dics['evlatmax']
evlonmin = input_dics['evlonmin']
evlonmax = input_dics['evlonmax']
glob_map = False
if plt_ray_path:
# # hammer, kav7, cyl, mbtfpq, moll
m = Basemap(projection='moll', lon_0=input_dics['plot_lon0'])
parallels = np.arange(-90, 90, 30.)
m.drawparallels(parallels, fontsize=24)
meridians = np.arange(-180., 180., 60.)
m.drawmeridians(meridians, fontsize=24)
width_beach = 10e5
width_station = 50
elif not glob_map:
m = Basemap(projection='cyl', llcrnrlat=evlatmin, urcrnrlat=evlatmax,
llcrnrlon=evlonmin, urcrnrlon=evlonmax)
parallels = np.arange(-90, 90, 5.)
m.drawparallels(parallels, fontsize=12)
meridians = np.arange(-180., 180., 5.)
m.drawmeridians(meridians, fontsize=12)
width_beach = 5
width_station = 10
elif glob_map:
m = Basemap(projection='moll', lon_0=input_dics['plot_lon0'])
parallels = np.arange(-90, 90, 30.)
m.drawparallels(parallels, fontsize=24)
meridians = np.arange(-180., 180., 60.)
m.drawmeridians(meridians, fontsize=24)
width_beach = 5e5
width_station = 50
else:
sys.exit('[ERROR] can not continue, error:\n%s' % input_dics)
raw_input_resp = raw_input_built('choose the map style:\n'
'1. bluemarble (PIL should be installed)\n'
'2. etopo (PIL should be installed)\n'
'3. shadedrelief (PIL should be installed)\n'
'4. simple\n')
if int(raw_input_resp) == 1:
m.bluemarble(scale=0.5)
elif int(raw_input_resp) == 2:
m.etopo(scale=0.5)
elif int(raw_input_resp) == 3:
m.shadedrelief(scale=0.1)
else:
m.fillcontinents()
for ei in range(len(events)):
if plt_events:
if input_dics['plot_focal']:
if not events[ei]['focal_mechanism']:
print('[ERROR] moment tensor does not exist!')
continue
x, y = m(events[ei]['longitude'],
events[ei]['latitude'])
focmecs = [float(events[ei]['focal_mechanism'][0]),
float(events[ei]['focal_mechanism'][1]),
float(events[ei]['focal_mechanism'][2]),
float(events[ei]['focal_mechanism'][3]),
float(events[ei]['focal_mechanism'][4]),
float(events[ei]['focal_mechanism'][5])]
try:
ax = plt.gca()
b = Beach(focmecs, xy=(x, y), facecolor='blue',
width=width_beach, linewidth=1, alpha=0.85)
b.set_zorder(10)
ax.add_collection(b)
except Exception as error:
print("[WARNING: %s -- %s]" % (error, focmecs))
continue
else:
x, y = m(events[ei]['longitude'],
events[ei]['latitude'])
magnitude = float(events[ei]['magnitude'])
m.scatter(x, y, color="blue", s=10*magnitude,
edgecolors='none', marker="o",
zorder=5, alpha=0.65)
if plt_stations or plt_availability or plt_ray_path:
target_path = locate(input_dics['datapath'],
events[ei]['event_id'])
if len(target_path) == 0:
continue
if len(target_path) > 1:
print("[LOCAL] more than one path was found for the event:")
print(target_path)
print("[INFO] use the first one:")
target_path = target_path[0]
print(target_path)
else:
print("[LOCAL] Path:")
target_path = target_path[0]
print(target_path)
update_sta_ev_file(target_path, events[ei])
if not input_dics['plot_availability']:
sta_ev_arr = np.loadtxt(os.path.join(target_path,
'info', 'station_event'),
delimiter=',', dtype=bytes, ndmin=2).astype(np.str)
else:
sta_ev_arr = np.loadtxt(os.path.join(target_path,
'info',
'availability.txt'),
delimiter=',', dtype=bytes, ndmin=2).astype(np.str)
sta_ev_arr = sta_ev_arr.astype(np.object)
if events[ei]['magnitude'] > 0:
del_index = []
for sti in range(len(sta_ev_arr)):
if not plot_filter_station(input_dics, sta_ev_arr[sti]):
del_index.append(sti)
dist, azi, bazi = gps2DistAzimuth(
events[ei]['latitude'],
events[ei]['longitude'],
float(sta_ev_arr[sti, 4]),
float(sta_ev_arr[sti, 5]))
epi_dist = dist/111.194/1000.
if input_dics['min_azi'] or input_dics['max_azi'] or \
input_dics['min_epi'] or input_dics['max_epi']:
if input_dics['min_epi']:
if epi_dist < input_dics['min_epi']:
del_index.append(sti)
if input_dics['max_epi']:
if epi_dist > input_dics['max_epi']:
del_index.append(sti)
if input_dics['min_azi']:
if azi < input_dics['min_azi']:
del_index.append(sti)
if input_dics['max_azi']:
if azi > input_dics['max_azi']:
del_index.append(sti)
del_index = list(set(del_index))
del_index.sort(reverse=True)
for di in del_index:
sta_ev_arr = np.delete(sta_ev_arr, (di), axis=0)
if plt_stations or plt_availability:
if len(sta_ev_arr) > 0:
x, y = m(sta_ev_arr[:, 5], sta_ev_arr[:, 4])
m.scatter(x, y, color='red', s=width_station,
edgecolors='none', marker='v',
zorder=4, alpha=0.9)
if plt_ray_path:
for si in range(len(sta_ev_arr)):
gcline = m.drawgreatcircle(float(events[ei]['longitude']),
float(events[ei]['latitude']),
float(sta_ev_arr[si][5]),
float(sta_ev_arr[si][4]),
color='k', alpha=0.0)
gcx, gcy = gcline[0].get_data()
gcx_diff = gcx[0:-1] - gcx[1:]
gcy_diff = gcy[0:-1] - gcy[1:]
if np.max(abs(gcx_diff))/abs(gcx_diff[0]) > 300:
gcx_max_arg = abs(gcx_diff).argmax()
plt.plot(gcx[0:gcx_max_arg], gcy[0:gcx_max_arg],
color='k', alpha=0.1)
plt.plot(gcx[gcx_max_arg+1:], gcy[gcx_max_arg+1:],
color='k', alpha=0.1)
elif np.max(abs(gcy_diff))/abs(gcy_diff[0]) > 400:
gcy_max_arg = abs(gcy_diff).argmax()
plt.plot(gcy[0:gcy_max_arg], gcy[0:gcy_max_arg],
color='k', alpha=0.1)
plt.plot(gcy[gcy_max_arg+1:], gcy[gcy_max_arg+1:],
color='k', alpha=0.1)
else:
m.drawgreatcircle(float(events[ei]['longitude']),
float(events[ei]['latitude']),
float(sta_ev_arr[si][5]),
float(sta_ev_arr[si][4]),
color='k', alpha=0.1)
plt.savefig(os.path.join(input_dics['plot_save'],
'event_station.%s' % input_dics['plot_format']))
plt.show()
def plot_seismicity(input_dics, events):
"""
create a seismicity map with some basic statistical analysis on the results
:param input_dics:
:param events:
:return:
"""
print('\n==============')
print('Seismicity map')
print('==============\n')
# plt.rc('font', family='serif')
if not len(events) > 0:
print("[WARNING] no event passed the given criteria!")
print("[WARNING] can not create any seismicity map.")
return
if input_dics['evlatmin'] is None:
input_dics['evlatmin'] = -90
input_dics['evlatmax'] = +90
input_dics['evlonmin'] = -180
input_dics['evlonmax'] = +180
map_proj = 'cyl'
else:
map_proj = 'cyl'
# set-up the map
m = Basemap(projection=map_proj,
llcrnrlat=input_dics['evlatmin'],
urcrnrlat=input_dics['evlatmax'],
llcrnrlon=input_dics['evlonmin'],
urcrnrlon=input_dics['evlonmax'],
lon_0=input_dics['plot_lon0'],
resolution='l')
parallels = np.arange(-90, 90, 30.)
m.drawparallels(parallels, fontsize=24)
meridians = np.arange(-180., 180., 60.)
m.drawmeridians(meridians, fontsize=24)
raw_input_resp = raw_input_built('choose the map style:\n'
'1. bluemarble (PIL should be installed)\n'
'2. etopo (PIL should be installed)\n'
'3. shadedrelief (PIL should be installed)\n'
'4. simple\n')
if int(raw_input_resp) == 1:
m.bluemarble(scale=0.5)
elif int(raw_input_resp) == 2:
m.etopo(scale=0.5)
elif int(raw_input_resp) == 3:
m.shadedrelief(scale=0.1)
else:
m.fillcontinents()
# defining labels
x_ev, y_ev = m(-360, 0)
m.scatter(x_ev, y_ev, 20, color='red', marker="o",
edgecolor="black", zorder=10, label='0-70km')
m.scatter(x_ev, y_ev, 20, color='green', marker="o",
edgecolor="black", zorder=10, label='70-300km')
m.scatter(x_ev, y_ev, 20, color='blue', marker="o",
edgecolor="black", zorder=10, label='300< km')
m.scatter(x_ev, y_ev, 10, color='white', marker="o",
edgecolor="black", zorder=10, label='< 4.0')
m.scatter(x_ev, y_ev, 40, color='white', marker="o",
edgecolor="black", zorder=10, label='4.0-5.0')
m.scatter(x_ev, y_ev, 70, color='white', marker="o",
edgecolor="black", zorder=10, label='5.0-6.0')
m.scatter(x_ev, y_ev, 100, color='white', marker="o",
edgecolor="black", zorder=10, label='6.0<=')
ev_dp_all = []
ev_mag_all = []
ev_info_ar = np.array([])
plot_focal_mechanism = False
for ev in events:
x_ev, y_ev = m(float(ev['longitude']), float(ev['latitude']))
ev_dp_all.append(abs(float(ev['depth'])))
ev_mag_all.append(abs(float(ev['magnitude'])))
if abs(float(ev['depth'])) < 70.0:
color = 'red'
elif 70.0 <= abs(float(ev['depth'])) < 300.0:
color = 'green'
elif 300.0 <= abs(float(ev['depth'])):
color = 'blue'
if float(ev['magnitude']) < 4.0:
size = 10
elif 4.0 <= float(ev['magnitude']) < 5.0:
size = 40
elif 5.0 <= float(ev['magnitude']) < 6.0:
size = 70
elif 6.0 <= float(ev['magnitude']):
size = 100
if ev['focal_mechanism']:
plot_focal_mechanism = True
f1 = ev['focal_mechanism'][0]
f2 = ev['focal_mechanism'][1]
f3 = ev['focal_mechanism'][2]
f4 = ev['focal_mechanism'][3]
f5 = ev['focal_mechanism'][4]
f6 = ev['focal_mechanism'][5]
else:
f1 = False
f2 = False
f3 = False
f4 = False
f5 = False
f6 = False
if np.size(ev_info_ar) < 1:
ev_info_ar = np.append(ev_info_ar,
[float(ev['depth']), float(x_ev),
float(y_ev), size, color,
f1, f2, f3, f4, f5, f6])
else:
ev_info_ar = np.vstack((ev_info_ar,
[float(ev['depth']), float(x_ev),
float(y_ev), size, color,
f1, f2, f3, f4, f5, f6]))
if np.shape(ev_info_ar)[0] == np.size(ev_info_ar):
ev_info_ar = np.reshape(ev_info_ar, (1, 11))
else:
ev_info_ar = sorted(ev_info_ar,
key=lambda ev_info_iter: float(ev_info_iter[0]))
for ev in ev_info_ar:
m.scatter(float(ev[1]), float(ev[2]), float(ev[3]),
color=ev[4], marker="o", edgecolor='k', zorder=10)
plt.legend(bbox_to_anchor=(1.01, 1), loc=2, borderaxespad=0.)
if plot_focal_mechanism:
plt.figure()
m = Basemap(projection=map_proj,
llcrnrlat=input_dics['evlatmin'],
urcrnrlat=input_dics['evlatmax'],
llcrnrlon=input_dics['evlonmin'],
urcrnrlon=input_dics['evlonmax'],
lon_0=input_dics['plot_lon0'],
resolution='l')
parallels = np.arange(-90, 90, 30.)
m.drawparallels(parallels, fontsize=24)
meridians = np.arange(-180., 180., 60.)
m.drawmeridians(meridians, fontsize=24)
if int(raw_input_resp) == 1:
m.bluemarble(scale=0.5)
elif int(raw_input_resp) == 2:
m.etopo(scale=0.5)
elif int(raw_input_resp) == 3:
m.shadedrelief(scale=0.1)
else:
m.fillcontinents()
for evfoc in ev_info_ar:
focmec = False
try:
ax = plt.gca()
focmec = (float(evfoc[5]), float(evfoc[6]), float(evfoc[7]),
float(evfoc[8]), float(evfoc[9]), float(evfoc[10]))
b = Beach(focmec, xy=(float(evfoc[1]), float(evfoc[2])),
facecolor=evfoc[4], width=float(evfoc[3])/100.,
linewidth=1, alpha=0.85)
b.set_zorder(10)
ax.add_collection(b)
except Exception as error:
print('[EXCEPTION] focal mechanism:')
print(focmec)
print('[EXCEPTION] error: %s' % error)
if len(events) > 0:
plt.figure()
hn, hbins, hpatches = \
plt.hist(ev_dp_all, input_dics['depth_bins_seismicity'],
facecolor='g', edgecolor='k', lw=3, alpha=0.5, log=True)
plt.xlabel('Depth', size=32, weight='bold')
plt.ylabel('#Events (log)', size=32, weight='bold')
plt.yscale('log')
plt.ylim(ymin=0.2)
plt.xticks(size=24, weight='bold')
plt.yticks(size=24, weight='bold')
plt.tight_layout()
plt.grid(True)
plt.figure()
hn, hbins, hpatches = \
plt.hist(ev_mag_all,
bins=np.linspace(int(float(input_dics['min_mag'])),
int(float(input_dics['max_mag'])),
(int(float(input_dics['max_mag'])) -
int(float(input_dics['min_mag'])))*2+1),
facecolor='g', edgecolor='k', lw=3, alpha=0.5, log=True)
plt.xlabel('Magnitude', size=32, weight='bold')
plt.ylabel('#Events (log)', size=32, weight='bold')
plt.yscale('log')
plt.ylim(ymin=0.2)
plt.xticks(size=24, weight='bold')
plt.yticks(size=24, weight='bold')
plt.tight_layout()
plt.grid(True)
plt.show()
def plot_xml_response(input_dics):
"""
plot the transfer function of stationXML file(s)
:param input_dics:
:return:
"""
plt.rc('font', family='serif')
print('[INFO] plotting StationXML file/files in: %s' % \
input_dics['datapath'])
if not os.path.isdir('./stationxml_plots'):
print('[INFO] creating stationxml_plots directory...')
os.mkdir('./stationxml_plots')
# assign the input_dics parameters to the running parameters:
stxml_dir = input_dics['datapath']
plotxml_datetime = input_dics['plotxml_date']
min_freq = input_dics['plotxml_min_freq']
output = input_dics['plotxml_output']
if 'dis' in output.lower():
output = 'DISP'
elif 'vel' in output.lower():
output = 'VEL'
elif 'acc' in output.lower():
output = 'ACC'
else:
output = output.upper()
start_stage = input_dics['plotxml_start_stage']
end_stage_input = input_dics['plotxml_end_stage']
percentage = input_dics['plotxml_percentage']/100.
threshold = input_dics['plotxml_phase_threshold']
plot_response = input_dics['plotxml_response']
plotstage12 = input_dics['plotxml_plotstage12']
plotpaz = input_dics['plotxml_paz']
plotallstages = input_dics['plotxml_allstages']
plot_map_compare = input_dics['plotxml_map_compare']
if os.path.isfile(stxml_dir):
addxml_all = glob.glob(os.path.join(stxml_dir))
elif os.path.isdir(stxml_dir):
addxml_all = glob.glob(os.path.join(stxml_dir, 'STXML.*'))
else:
try:
addxml_all = glob.glob(os.path.join(stxml_dir))
except Exception as error:
print('[ERROR] %s' % error)
sys.exit('[ERROR] wrong address: %s' % stxml_dir)
addxml_all.sort()
sta_lat = []
sta_lon = []
latlon_color = []
report_fio = open(os.path.join('stationxml_plots',
'report_stationxml'), 'wt')
report_fio.writelines('channel_id\t\t\t\t%(phase_diff)\t\t'
'abs(max_diff)\tlat\t\t\tlon\t\t\tdatetime\t'
'decimation delay\tdecimation corr\n')
report_fio.close()
add_counter = 0
for addxml in addxml_all:
end_stage = end_stage_input
add_counter += 1
print(40*'-')
print('%s/%s' % (add_counter, len(addxml_all)))
try:
xml_inv = read_inventory(addxml, format='stationXML')
print("[STATIONXML] %s" % addxml)
# we only take into account the first channel...
cha_name = xml_inv.get_contents()['channels'][0]
if plotxml_datetime:
cha_date = plotxml_datetime
else:
cha_date = xml_inv.networks[0][0][-1].start_date
print('[INFO] plotxml_date has not been set, the start_date ' \
'of the last channel in stationXML file will be used ' \
'instead: %s' % cha_date)
xml_response = xml_inv.get_response(cha_name, cha_date + 0.1)
if xml_inv[0][0][0].sample_rate:
sampling_rate = xml_inv[0][0][0].sample_rate
else:
for stage in xml_response.response_stages[::-1]:
if (stage.decimation_input_sample_rate is not None) and\
(stage.decimation_factor is not None):
sampling_rate = (stage.decimation_input_sample_rate /
stage.decimation_factor)
break
t_samp = 1.0 / sampling_rate
nyquist = sampling_rate / 2.0
nfft = int(sampling_rate / min_freq)
end_stage = min(len(xml_response.response_stages), end_stage)
if plotallstages:
plot_xml_plotallstages(xml_response, t_samp, nyquist, nfft,
min_freq, output,
start_stage, end_stage, cha_name)
try:
cpx_response, freq = xml_response.get_evalresp_response(
t_samp=t_samp, nfft=nfft, output=output,
start_stage=start_stage, end_stage=end_stage)
cpx_12, freq = xml_response.get_evalresp_response(
t_samp=t_samp, nfft=nfft, output=output, start_stage=1,
end_stage=2)
except Exception as error:
print('[WARNING] %s' % error)
continue
paz, decimation_delay, decimation_correction = \
convert_xml_paz(xml_response, output, cha_name, cha_date)
if not paz:
continue
h, f = pazToFreqResp(paz['poles'], paz['zeros'], paz['gain'],
1./sampling_rate, nfft, freq=True)
phase_resp = np.angle(cpx_response)
phase_12 = np.angle(cpx_12)
if plot_response:
plt.figure(figsize=(20, 10))
plt.suptitle(cha_name, size=24, weight='bold')
if plotpaz or plotstage12:
plt.subplot(2, 2, 1)
else:
plt.subplot(2, 1, 1)
plt.loglog(freq, abs(cpx_response), color='blue',
lw=3, label='full-resp')
if plotstage12:
plt.loglog(freq, abs(cpx_12), ls='--', color='black',
lw=3, label='Stage1,2')
if plotpaz:
plt.loglog(f, abs(h)*paz['sensitivity'], color='red',
lw=3, label='PAZ')
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.ylabel('Amplitude', size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist+5)
plt.ylim(ymax=max(1.2*abs(cpx_response)))
plt.legend(loc=0, prop={'size': 18, 'weight': 'bold'})
plt.grid()
if plotpaz or plotstage12:
plt.subplot(2, 2, 3)
else:
plt.subplot(2, 1, 2)
plt.semilogx(freq, phase_resp, color='blue',
lw=3, label='full-resp')
if plotstage12:
plt.semilogx(freq, phase_12, ls='--', color='black',
lw=3, label='Stage1,2')
if plotpaz:
plt.semilogx(f, np.angle(h), color='red',
lw=3, label='PAZ')
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.xlabel('Frequency [Hz]', size=24, weight='bold')
plt.ylabel('Phase [rad]', size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist+5)
plt.legend(loc=0, prop={'size': 18, 'weight': 'bold'})
plt.grid()
if plotstage12 or plotpaz:
ax_222 = plt.subplot(2, 2, 2)
y_label = 'Amplitude ratio'
if plotstage12:
plt.loglog(freq, abs(abs(cpx_response) / abs(cpx_12)),
'--', color='black', lw=3,
label='|full-resp|/|Stage1,2|')
y_label = '|full-resp|/|Stage1,2|'
amp_ratio = 1
if plotpaz:
amp_ratio = abs(abs(cpx_response) /
(abs(h)*paz['sensitivity']))
plt.loglog(f, amp_ratio,
color='red', lw=3,
label='|full-resp|/|PAZ|')
y_label = '|full-resp|/|PAZ|'
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.axvline(percentage*nyquist, ls="--",
color='black', lw=3)
plt.ylabel(y_label, size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist+5)
plt.ylim(ymax=1.2*max(amp_ratio[np.logical_not(
np.isnan(amp_ratio))]))
plt.grid()
ax_224 = plt.subplot(2, 2, 4)
y_label = 'Phase difference [rad]'
if plotstage12:
plt.semilogx(freq, abs(phase_resp - phase_12),
color='black', ls='--', lw=3,
label='|full-resp - Stage1,2|')
y_label = '|full-resp - Stage1,2| [rad]'
if plotpaz:
plt.semilogx(freq, abs(phase_resp - np.angle(h)),
color='red', lw=3,
label='|full-resp - PAZ|')
y_label = '|full-resp - PAZ|'
plt.axvline(nyquist, ls="--", color='black', lw=3)
plt.axvline(percentage*nyquist, ls="--",
color='black', lw=3)
plt.xlabel('Frequency [Hz]', size=24, weight='bold')
plt.ylabel(y_label,
size=24, weight='bold')
plt.xticks(size=18, weight='bold')
plt.yticks(size=18, weight='bold')
plt.xlim(xmin=min_freq, xmax=nyquist+5)
plt.grid()
plt.savefig(os.path.join('stationxml_plots',
cha_name + '.png'))
plt.close()
# compare = abs(phase[:int(0.8*len(phase))] -
# np.angle(h[:int(0.8*len(phase))]))
# if len(compare[compare>0.1]) > 0:
# lat_red.append(xml_inv.get_coordinates(cha_name)['latitude'])
# lon_red.append(xml_inv.get_coordinates(cha_name)['longitude'])
# print cha_name
# print paz
# else:
# lat_blue.append(xml_inv.get_coordinates(cha_name)['latitude'])
# lon_blue.append(xml_inv.get_coordinates(cha_name)['longitude'])
phase_resp_check = phase_resp[:int(percentage*len(phase_resp))]
phase_h_check = np.angle(h)[:int(percentage*len(np.angle(h)))]
if not len(phase_resp_check) == len(phase_h_check):
sys.exit('[ERROR] lengths of phase responses do not match: '
'%s (StationXML) != %s (PAZ)'
% (len(phase_resp_check), len(phase_h_check)))
compare = abs(phase_resp_check - phase_h_check)
percent_compare = \
float(len(compare[compare >= 0.05]))/len(compare)*100
latlondep = get_coordinates(xml_inv.networks[0],
cha_name,
cha_date + 0.1)
sta_lat.append(latlondep['latitude'])
sta_lon.append(latlondep['longitude'])
d_c = np.sum(decimation_delay) - np.sum(decimation_correction)
if not d_c == 0:
latlon_color.append(0.)
else:
latlon_color.append(percent_compare)
if percent_compare >= threshold:
plot_xml_plotallstages(xml_response, t_samp, nyquist, nfft,
min_freq, output,
start_stage, end_stage, cha_name)
report_fio = open(os.path.join('stationxml_plots',
'report_stationxml'), 'at')
report_fio.writelines(
'%s\t\t\t%6.2f\t\t\t%6.2f\t\t\t%6.2f\t\t%7.2f\t\t%s\t%s\t%s\n'
% (cha_name,
round(percent_compare, 2),
round(max(abs(compare)), 2),
round(sta_lat[-1], 2),
round(sta_lon[-1], 2),
cha_date,
np.sum(decimation_delay),
np.sum(decimation_correction)))
report_fio.close()
except Exception as error:
print('[Exception] %s' % error)
if plot_map_compare:
from mpl_toolkits.basemap import Basemap
plt.figure()
m = Basemap(projection='robin', lon_0=input_dics['plot_lon0'], lat_0=0)
m.fillcontinents()
m.drawparallels(np.arange(-90., 120., 30.))
m.drawmeridians(np.arange(0., 420., 60.))
m.drawmapboundary()
x, y = m(sta_lon, sta_lat)
m.scatter(x, y, 100, c=latlon_color, marker="v",
edgecolor='none', zorder=10, cmap='rainbow')
plt.colorbar(orientation='horizontal')
plt.savefig(os.path.join('stationxml_plots', 'compare_plots.png'))
plt.show()
raw_input_built('Press Enter...')
sys.exit('[EXIT] obspyDMT finished normally...')