User contributed plug-ins for Pyrocko's seismic waveform browser Snuffler.
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import logging
import numpy as num
import matplotlib.pyplot as plt
import copy
from matplotlib.collections import LineCollection
from pyrocko import util
from pyrocko.gui.snuffling import Snuffling, Choice, Switch
logger = logging.getLogger('pyrocko.gui.snuffling.particle_motion')
class ParticleMotion(Snuffling):
'''
Visualize Particle Motions
Plot combinations of channels ending with one of: 'NEZ012' for traces
selected either with an extended marker or which are visible in snuffler.
'''
def setup(self):
'''Customization of the snuffling.'''
self.set_name('Particle Motion')
self.add_parameter(
Choice(
'Colormap', 'cmap', 'viridis', ['viridis', 'coolwarm', 'cool',
'bone', 'seismic'])
)
self.set_live_update(False)
def call(self):
'''Main work routine of the snuffling.'''
self.cleanup()
viewer = self.get_viewer()
nslc_ids = self.get_viewer().pile.nslc_ids
nsl_ids = set([nslc_id[:3] for nslc_id in nslc_ids])
figs = []
for nsl_id in nsl_ids:
x = []
y = []
z = []
zlabel = ''
xlabel = ''
ylabel = ''
def selector(tr):
return util.match_nslc("%s.%s.%s.*" % nsl_id, tr.nslc_id)
for traces in self.chopper_selected_traces(
fallback=True, trace_selector=selector):
for tr in traces:
tr = tr.copy(data=True)
if viewer.highpass:
tr.highpass(4, viewer.highpass)
if viewer.lowpass:
tr.lowpass(4, viewer.lowpass)
time = tr.get_xdata()
net, sta, loc, cha = tr.nslc_id
if 'X' in cha or 'E' in cha or '1' in cha:
x = tr.ydata
xlabel = cha
elif 'Y' in cha or 'N' in cha or '2' in cha:
y = tr.ydata
ylabel = cha
elif 'Z' in cha or '0' in cha:
z = tr.ydata
zlabel = cha
else:
self.warn(
'Did not find any character of "ENZ012" in %s' %
cha)
is_zero = 0
for val in [x, y, z]:
is_zero += (len(val) == 0)
if is_zero > 1:
continue
fig = self.pylab(get='figure')
time -= min(time)
axs = [None, None, None]
for iax, (xi, yi, xilabel, yilabel) in enumerate([
(x, y, xlabel, ylabel),
(z, y, zlabel, ylabel),
(x, z, xlabel, zlabel),
]):
ax = fig.add_subplot(
221 + iax, aspect='equal', sharex=axs[0], sharey=axs[0])
if len(xi) == len(yi):
try:
mapable = ax.scatter(xi, yi, c=time, cmap=self.cmap)
except ValueError as e:
logger.error('nsl id: %s | %s' % (nsl_id, e))
ax.plot(xi, yi, c='grey', alpha=0.4)
ax.set_aspect('equal')
ax.set_xlabel(xilabel)
ax.set_ylabel(yilabel)
ax.grid(True)
if iax == 0:
ax.xaxis.set_label_position('top')
ax.xaxis.tick_top()
elif iax == 1:
ax.xaxis.set_label_position('top')
ax.xaxis.tick_top()
ax.yaxis.set_label_position('right')
ax.yaxis.tick_right()
axs[iax] = ax
ax = fig.add_subplot(224)
min_t = num.min(time)
max_t = num.max(time)
for i, (v, label) in enumerate(zip([x, y, z], [xlabel, ylabel, zlabel])):
v = copy.deepcopy(v)
mean_v = num.mean(v)
v -= mean_v
v /= num.max(v)
v += i
points = num.array([time, v]).T.reshape(-1, 1, 2)
segments = num.concatenate([points[:-1], points[1:]], axis=1)
lc = LineCollection(segments, cmap=plt.get_cmap(self.cmap))
lc.set_array(time)
ax.add_collection(lc)
ax.text(max_t, v[-1], label)
ax.set_xlabel('time [s]')
ax.set_ylim(-1., 3.)
ax.set_xlim(min_t, max_t)
ax.spines['left'].set_color('none')
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.yaxis.set_ticks([])
fig.suptitle('.'.join(nsl_id))
fig.subplots_adjust(hspace=0.05, wspace=0.05, bottom=0.07)
figs.append(fig)
for fig in figs:
fig.canvas.draw()
def __snufflings__():
'''Returns a list of snufflings to be exported by this module.'''
return [ParticleMotion()]