def readX(self,
correlation,
t1=None,
t2=None,
period=24 * 3600,
select=True,
stack=None,
**kwargs):
st = Stream()
if t2 is None:
file_ = self.getX(
correlation, t1, period=period, stack=stack, **kwargs) + '.QHD'
if t1 is None:
st += read(file_)
else:
for file_ in glob(file_):
st += read(file_)
else:
if period == 'day' or period >= 3600 or stack >= 3600:
iterator = yeargen(t1, t2)
else:
iterator = timegen(t1, t2, dt=24 * 3600)
for t in iterator:
file_ = self.getX(
correlation, t, period=period, stack=stack, **
kwargs) + '.QHD'
try:
st += read(file_)
except (ValueError, IOError):
log.warning(
'An error occured when trying to read file %s' % file_)
if select:
st = st.select(expr='%r<st.starttime<%r' %
(t1 - 0.1, t2 + 0.1))
return st
def main():
stations = 'PB01 PB02 PB03 PB04 PB05'
component = 'Z'
t1 = UTC('2009-06-01')
t2 = UTC('2009-07-01')
data = IPOC('test', use_local_LVC=False)
data.setXLogger('_test')
period = 24 * 3600
ax = None
plt.ion()
for station in stations.split():
pxxs = []
freqs_old = None
i = 0
for t in timegen(t1, t2, period):
st = data.getRawStreamFromClient(t, t + period, station, component)
st.merge(method=1,
interpolation_samples=10,
fill_value='interpolate')
print st
pxx, freqs = st.plotPSD(just_calculate=True)
assert np.all(freqs == freqs_old) or not freqs_old
freqs_old = freqs
if max(pxx[4:]) > 1e7:
print 'discard'
i += 1
continue
pxxs.append(pxx)
pxx = sum(pxxs) / len(pxxs)
del pxxs
tr = Trace(data=pxx,
header=dict(is_fft=True,
sampling_rate=2 * max(freqs),
freq_min=min(freqs),
freq_max=max(freqs)))
ax = tr.plotPSD(ax=ax,
label='%s-%d' % (st[0].stats.station, i),
figtitle=None)
plt.draw()
# embed()
ax.legend()
fig = ax.get_figure()
fig.suptitle('%s %s %s to %s' %
(stations, component, t1.strftime('%Y-%m-%d'),
t2.strftime('%Y-%m-%d')))
plt.ioff()
plt.show()
def main():
stations = 'PB01 PB02 PB03 PB04 PB05'
component = 'Z'
t1 = UTC('2009-06-01')
t2 = UTC('2009-07-01')
data = IPOC('test', use_local_LVC=False)
data.setXLogger('_test')
period = 24 * 3600
ax = None
plt.ion()
for station in stations.split():
pxxs = []
freqs_old = None
i = 0
for t in timegen(t1, t2, period):
st = data.getRawStreamFromClient(t, t + period, station, component)
st.merge(method=1, interpolation_samples=10, fill_value='interpolate')
print st
pxx, freqs = st.plotPSD(just_calculate=True)
assert np.all(freqs == freqs_old) or not freqs_old
freqs_old = freqs
if max(pxx[4:]) > 1e7:
print 'discard'
i += 1
continue
pxxs.append(pxx)
pxx = sum(pxxs) / len(pxxs)
del pxxs
tr = Trace(data=pxx,
header=dict(is_fft=True, sampling_rate=2 * max(freqs),
freq_min=min(freqs), freq_max=max(freqs)))
ax = tr.plotPSD(ax=ax, label='%s-%d' % (st[0].stats.station, i), figtitle=None)
plt.draw()
# embed()
ax.legend()
fig = ax.get_figure()
fig.suptitle('%s %s %s to %s' % (stations, component, t1.strftime('%Y-%m-%d'),
t2.strftime('%Y-%m-%d')))
plt.ioff()
plt.show()
def readX(self, correlation, t1=None, t2=None, period=24 * 3600, select=True, stack=None, **kwargs):
st = Stream()
if t2 is None:
file_ = self.getX(correlation, t1, period=period, stack=stack, **kwargs) + ".QHD"
if t1 is None:
st += read(file_)
else:
for file_ in glob(file_):
st += read(file_)
else:
if period == "day" or period >= 3600 or stack >= 3600:
iterator = yeargen(t1, t2)
else:
iterator = timegen(t1, t2, dt=24 * 3600)
for t in iterator:
file_ = self.getX(correlation, t, period=period, stack=stack, **kwargs) + ".QHD"
try:
st += read(file_)
except (ValueError, IOError):
log.warning("An error occured when trying to read file %s" % file_)
if select:
st = st.select(expr="%r<st.starttime<%r" % (t1 - 0.1, t2 + 0.1))
return st
