本文整理匯總了Python中obspy.iris.Client.resp方法的典型用法代碼示例。如果您正苦於以下問題：Python Client.resp方法的具體用法？Python Client.resp怎麽用？Python Client.resp使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類obspy.iris.Client的用法示例。
在下文中一共展示了Client.resp方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_resp
# 需要導入模塊: from obspy.iris import Client [as 別名]
# 或者: from obspy.iris.Client import resp [as 別名]
def test_resp(self):
"""
Tests resp Web service interface.
Examples are inspired by http://www.iris.edu/ws/resp/.
"""
client = Client()
# 1
t1 = UTCDateTime("2005-001T00:00:00")
t2 = UTCDateTime("2008-001T00:00:00")
result = client.resp("IU", "ANMO", "00", "BHZ", t1, t2)
self.assertTrue("B050F03 Station: ANMO" in result)
# 2 - empty location code
result = client.resp("UW", "LON", "", "EHZ")
self.assertTrue("B050F03 Station: LON" in result)
self.assertTrue("B052F03 Location: ??" in result)
# 3 - empty location code via '--'
result = client.resp("UW", "LON", "--", "EHZ")
self.assertTrue("B050F03 Station: LON" in result)
self.assertTrue("B052F03 Location: ??" in result)
# 4
dt = UTCDateTime("2010-02-27T06:30:00.000")
result = client.resp("IU", "ANMO", "*", "*", dt)
self.assertTrue("B050F03 Station: ANMO" in result)示例2: UTCDateTime
# 需要導入模塊: from obspy.iris import Client [as 別名]
# 或者: from obspy.iris.Client import resp [as 別名]
# MW 7.1 Darfield earthquake, New Zealand
t1 = UTCDateTime("2010-09-3T16:30:00.000")
t2 = UTCDateTime("2010-09-3T17:00:00.000")
# Fetch waveform from IRIS FDSN web service into a ObsPy stream object
fdsn_client = FDSN_Client("IRIS")
st = fdsn_client.get_waveforms('NZ', 'BFZ', '10', 'HHZ', t1, t2)
# Download and save instrument response file into a temporary file
with NamedTemporaryFile() as tf:
respf = tf.name
old_iris_client = OldIris_Client()
# fetch RESP information from "old" IRIS web service, see obspy.fdsn
# for accessing the new IRIS FDSN web services
old_iris_client.resp('NZ', 'BFZ', '10', 'HHZ', t1, t2, filename=respf)
# make a copy to keep our original data
st_orig = st.copy()
# define a filter band to prevent amplifying noise during the deconvolution
pre_filt = (0.005, 0.006, 30.0, 35.0)
# this can be the date of your raw data or any date for which the
# SEED RESP-file is valid
date = t1
seedresp = {'filename': respf, # RESP filename
# when using Trace/Stream.simulate() the "date" parameter can
# also be omitted, and the starttime of the trace is then used.
'date': date,