本文整理匯總了Python中obspy.core.stream.Stream.normalize方法的典型用法代碼示例。如果您正苦於以下問題：Python Stream.normalize方法的具體用法？Python Stream.normalize怎麽用？Python Stream.normalize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.core.stream.Stream的用法示例。
在下文中一共展示了Stream.normalize方法的1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: gps2dist_azimuth
# 需要導入模塊: from obspy.core.stream import Stream [as 別名]
# 或者: from obspy.core.stream.Stream import normalize [as 別名]
station_latitude = 49.144001
station_longitude = 12.8782
# theoretical backazimuth and distance
baz = gps2dist_azimuth(source_latitude, source_longitude, station_latitude, station_longitude)
print('Epicentral distance [m]: ',baz[0])
print('Theoretical azimuth [deg]: ', baz[1])
print('Theoretical backazimuth [deg]: ', baz[2])
# rotate E-N component seismometer recordings to radial[1]-transverse[0] components using the theoretical BAz
AC_original = AC.copy()
#normalize
AC_original.normalize()
RLAS.normalize()
AC.normalize()
AC.rotate(method='NE->RT',back_azimuth=baz[2])
sampling_rate = int(RLAS[0].stats.sampling_rate)
time = np.linspace(0, len(AC[0].data)/sampling_rate,len(AC[0].data))
# **Estimate correlation coefficients for different time windows and estimate BAZ**
# In[5]:
TauPy_model = TauPyModel('ak135')
arrivals_p = TauPy_model.get_travel_times(distance_in_degree=0.001 * baz[0] / 111.11,
source_depth_in_km=event.origins[0].depth*0.001,