本文整理汇总了Python中obspy.core.event.Event.magnitude方法的典型用法代码示例。如果您正苦于以下问题：Python Event.magnitude方法的具体用法？Python Event.magnitude怎么用？Python Event.magnitude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.event.Event的用法示例。
在下文中一共展示了Event.magnitude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: get_results
# 需要导入模块: from obspy.core.event import Event [as 别名]
# 或者: from obspy.core.event.Event import magnitude [as 别名]
def get_results(self):
cids = []
clusters = []
results_file = "{}/{}".format(self.hypoDD_control.control_directory,
self.hypoDD_control.relocated_hypocenters_output
)
residuals_file = "{}/{}".format(self.hypoDD_control.control_directory,
self.hypoDD_control.data_residual_output
)
with open(results_file, "r") as f:
for line in f:
num = line.split()
evid = num[0]
lat = float(num[1])
lon = float(num[2])
dep = 1000 * float(num[3]) # km to m
errx = num[7]
erry = num[8]
errz = num[9]
yr = int(num[10])
mo = int(num[11])
dy = int(num[12])
hr = int(num[13])
mi = int(num[14])
sc = float(num[15])
mag = num[16]
nccp = num[17]
nccs = num[18]
nctp = num[19]
ncts = num[20]
rcc = num[21]
rct = num[22]
cid = num[23]
if cid not in cids:
cids.append(cid)
clusters.append(Cluster())
clusters[-1].hypoDD_id=cid
clusters[-1].successful_relocation=True
clusters[-1].catalog=Catalog()
clusters[-1].event_ids=[]
origin=Origin()
isec = int ( math.floor( sc ))
micsec = int ( ( sc - isec) * 1000000 )
origin.time = UTCDateTime(yr, mo, dy, hr, mi, isec, micsec)
origin.longitude = lon
origin.latitude = lat
origin.depth = dep
origin.method_id = "hypoDD"
# TODO (@ogalanis): Add time/location errors (when
# appropriate. Add quality and origin_uncertainty. Add arrivals.
event=Event()
event.creation_info=CreationInfo()
event.creation_info.author = __package__
event.creation_info.version = info.__version__
event.origins=[origin]
event.magnitude=Magnitude()
event.magnitude.mag=mag
idx=cids.index(cid)
clusters[idx].catalog.events.append(event)
clusters[idx].event_ids.append(evid)
if self.hypoDD_control.cid != 0 :
my_list = []
clusters[0].connectedness = Connectedness()
with open(residuals_file, "r") as f:
for line in f:
num = line.split()
evid_1 = num[2]
evid_2 = num[3]
obs_type = num[4]
if obs_type == "1":
my_list = clusters[0].connectedness.cross_corr_P
elif obs_type == "2":
my_list = clusters[0].connectedness.cross_corr_S
elif obs_type == "3":
my_list = clusters[0].connectedness.catalog_P
elif obs_type == "4":
my_list = clusters[0].connectedness.catalog_S
else:
continue
in_list = [x for x in my_list if (( x[0] == evid_1 and
x[1] == evid_2
) or
( x[0] == evid_2 and
x[1] == evid_1
))]
if in_list:
for x in my_list:
if (( x[0] == evid_1 and
x[1] == evid_2
) or
( x[0] == evid_2 and
x[1] == evid_1
)):
x[2] += 1
else:
my_list.append([evid_1,evid_2,1])
return clusters