本文整理汇总了Python中obspy.core.Stream.traces[-1]方法的典型用法代码示例。如果您正苦于以下问题：Python Stream.traces[-1]方法的具体用法？Python Stream.traces[-1]怎么用？Python Stream.traces[-1]使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类obspy.core.Stream的用法示例。
在下文中一共展示了Stream.traces[-1]方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: read_from_SDS
# 需要导入模块: from obspy.core import Stream [as 别名]
# 或者: from obspy.core.Stream import traces[-1] [as 别名]
#.........这里部分代码省略.........
# retrieve first_start and last_end time for the stream
# without making any assumptions on order of traces
first_start = st_head[0].stats.starttime
last_end = st_head[0].stats.endtime
# find earliest start time and latest end time in stream
for tr in st_head:
if tr.stats.starttime < first_start:
first_start = tr.stats.starttime
if tr.stats.endtime > last_end:
last_end = tr.stats.endtime
# add to list if start or end time are within our requested limits
if (first_start < endtime and last_end > starttime):
fnames_within_times.append(fname)
logging.debug("Found %d files to read" % len(fnames_within_times))
# now read the full data only for the relevant files
st = Stream()
for fname in fnames_within_times:
st_tmp = read(fname, starttime=starttime, endtime=endtime)
for tr in st_tmp:
st.append(tr)
# and merge nicely
st.merge(method=-1)
if st.count() > 1: # There are gaps after sensible cleanup merging
logging.info("File contains gaps:")
st.printGaps()
# apply rmean if requested
if rmean:
logging.info("Removing the mean from single traces.")
st = stream_rmean(st)
# apply rmean if requested
if taper:
logging.info("Tapering single traces.")
st = stream_taper(st)
if not pad_value is None:
try:
first_tr = st.traces[0]
# save delta (to save typing)
delta = first_tr.stats.delta
if (not starttime is None) and \
((first_tr.stats.starttime - starttime) > delta):
logging.debug("Padding with value %f from %s to first\
point in file at %s." %
(pad_value,
starttime.isoformat(),
first_tr.stats.starttime.isoformat()))
# find the number of points from starttime to
# end of the first trace
npts_full_trace = \
int(np.floor((first_tr.stats.endtime -
starttime) / delta))+1
# find the number of points of the padding section
n_pad = npts_full_trace-first_tr.stats.npts
# fill the full time range with padd value
tr_pad = np.zeros(npts_full_trace)+pad_value
# substitute in the data
tr_pad[n_pad:] = first_tr.data[:]
first_tr.data = tr_pad
first_tr.stats.starttime = starttime
first_tr.stats.npts = npts_full_trace
st.traces[0] = first_tr
last_tr = st.traces[-1]
# save delta (to save typing)
delta = last_tr.stats.delta
if (not endtime is None) and \
((endtime - last_tr.stats.endtime) > delta):
logging.debug("Padding with value %f from last point\
in file at %s to %s." %
(pad_value,
last_tr.stats.endtime.isoformat(),
endtime.isoformat()))
# find the number of points from endtime to
# start of the last trace
npts_full_trace = \
int(np.floor((endtime -
last_tr.stats.starttime) / delta))+1
# fill the full time range with padd value
tr_pad = np.zeros(npts_full_trace)+pad_value
# substitute in the data
tr_pad[0:last_tr.stats.npts] = last_tr.data[:]
last_tr.data = tr_pad
last_tr.stats.npts = npts_full_trace
st.traces[-1] = last_tr
except IndexError:
logging.warning('No data within time limits requested')
raise UserWarning('No data within time limits requested.')
try:
self.stream = st
self.trace = st.traces[0]
self.proc = "None"
except IndexError:
raise UserWarning('No data within time limits requested.')