Ejemplo n.º 1
0
    def test_timeseries(self):
        """
        Tests timeseries Web service interface.

        Examples are inspired by http://www.iris.edu/ws/timeseries/.
        """
        client = Client()
        # 1
        t1 = UTCDateTime("2005-001T00:00:00")
        t2 = UTCDateTime("2005-001T00:01:00")
        # no filter
        st1 = client.timeseries("IU", "ANMO", "00", "BHZ", t1, t2)
        # instrument corrected
        st2 = client.timeseries("IU",
                                "ANMO",
                                "00",
                                "BHZ",
                                t1,
                                t2,
                                filter=["correct"])
        # compare results
        self.assertEquals(st1[0].stats.starttime, st2[0].stats.starttime)
        self.assertEquals(st1[0].stats.endtime, st2[0].stats.endtime)
        self.assertEquals(st1[0].data[0], 24)
        self.assertAlmostEquals(st2[0].data[0], -2.4910707e-06)
Ejemplo n.º 2
0
    def test_timeseries(self):
        """
        Tests timeseries Web service interface.

        Examples are inspired by http://www.iris.edu/ws/timeseries/.
        """
        client = Client()
        # 1
        t1 = UTCDateTime("2005-001T00:00:00")
        t2 = UTCDateTime("2005-001T00:01:00")
        # no filter
        st1 = client.timeseries("IU", "ANMO", "00", "BHZ", t1, t2)
        # instrument corrected
        st2 = client.timeseries("IU", "ANMO", "00", "BHZ", t1, t2, filter=["correct"])
        # compare results
        self.assertEquals(st1[0].stats.starttime, st2[0].stats.starttime)
        self.assertEquals(st1[0].stats.endtime, st2[0].stats.endtime)
        self.assertEquals(st1[0].data[0], 24)
        self.assertAlmostEquals(st2[0].data[0], -2.4910707e-06)
Ejemplo n.º 3
0
print t2

######## 
#st = client.saveWaveform("./G.SSB.00.BHE", "G", "SSB", "*", "BHE", t1, t2)
#st = client.getWaveform("G", "SSB", "10", "*", t1, t2)
#### Permete d avoir toutes les donnes meeme s il y a des trous
#st = client.timeseries("GB", "CWF", "", "BHZ", t1, t2, output = 'miniseed')
#### timesseries used by obspy give the same result when output is mseed or sacbl
### BUT tiemseries ftrhough webservice from iris directly give a diffetent result when the output is sac or mseed
#### only output mseed is correct
avail = client.availability("GB", "CWF", "", "BHZ", t1, t2,output='xml')
metadata=XML_list_avail(avail)
# 1eme indice = station
print lat,lon
print avail
st = client.timeseries("GB", "CWF", "", "BHZ", t1, t2, output = 'sacbl')
############ NE PAS UTILISER getWavform CAR 
##### give only one file the longest one in case of gaps
## st = client.getWaveform("GB", "CWF", "", "BHZ", t1, t2)

print st
st.write(file_name, format = 'SAC')
st=read(file_name+'*')
for i in range(0,len(st)):
    lat=metadata[i][4]
    lon=metadata[i][5]
    tr.stats.sac.stla=lat
    tr.stats.sac.stlo=lon
st.write(file_name, format = 'SAC')