# +
from obspy.signal import PPSD
ppsd = PPSD.load_npz("data/PPSD_FUR_HHN.npz")
# -
ppsd.plot(max_percentage=10)
ppsd.plot(cumulative=True)
# * do different stacks of the data using the [`calculate_histogram()` (see docs!)](http://docs.obspy.org/packages/autogen/obspy.signal.spectral_estimation.PPSD.calculate_histogram.html) method of `PPSD` and visualize them
# * compare differences in different frequency bands qualitatively (anthropogenic vs. "natural" noise)..
# * nighttime stack, daytime stack
# * advanced exercise: Use the `callback` option and use some crazy custom callback function in `calculate_histogram()`, e.g. stack together all data from birthdays in your family.. or all German holidays + Sundays in the time span.. or from dates of some bands' concerts on a tour.. etc.
ppsd.calculate_histogram(time_of_weekday=[(-1, 0, 2), (-1, 22, 24)])
ppsd.plot(max_percentage=10)
ppsd.calculate_histogram(time_of_weekday=[(-1, 8, 16)])
ppsd.plot(max_percentage=10)
# * do different stacks of the data using the [`calculate_histogram()` (see docs!)](http://docs.obspy.org/packages/autogen/obspy.signal.spectral_estimation.PPSD.calculate_histogram.html) method of `PPSD` and visualize them
# * compare differences in different frequency bands qualitatively (anthropogenic vs. "natural" noise)..
# * weekdays stack, weekend stack
ppsd.calculate_histogram(time_of_weekday=[
(1, 0, 24),
(2, 0, 24),
(3, 0, 24),
(4, 0, 24),
(5, 0, 24),
])
def get_ppsd(my_storage,
client,
inv,
ppsd_restrictions,
single_cha_contents,
starttime,
endtime,
plot_trace=False):
"""
Calculates the ppsd object according to starttime, endtime
and ppsd_restrictions parameters. It will be save in
my_storage/{network}.{station}.{location}.{channel}/ppsd
Parameters:
-----------
my_storage: str
Path to save all ppsd analyses
client: Client object from obspy
To use get_waveforms method
inv: Inventory object from obspy
To recognize the filtered stations that you want to
calculate the ppsd
ppsd_restrictions: PPSDRestrictions
Information about the PPSD parameters
single_cha_contents: 'str'
network.station.location.channel
starttime: UTCDateTime
Start time that will be used to calculate the ppsd.
endtime: UTCDateTime
End time that will be used to calculate the ppsd.
plot_trace: Boolean
Plot the stream (It consumes a little bit time)
"""
network, station, location, channel = single_cha_contents.split('.')
try:
st = client.get_waveforms(network=network,
station=station,
location=location,
channel=channel,
starttime=starttime,
endtime=endtime)
except:
strftime = "%Y%m%dT%H%M%SZ"
st_warn = (f"{network}."
f"{station}."
f"{location}."
f"{channel}"
f"__{starttime.strftime(strftime)}"
f"__{endtime.strftime(strftime)}")
st = None
now = dt.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
if st == None:
print_logs(job='load_trace',
content=single_cha_contents,
status='no',
path=st_warn)
return None
if plot_trace == True:
plotst_path = get_path(my_storage,
PLOT_TRACE_DIRNAME,
single_cha_contents,
starttime,
endtime,
extension_file='jpg')
filename = os.path.basename(plotst_path)
if os.path.isfile(plotst_path) == True:
print_logs(job='save_trace',
content=single_cha_contents,
status='exist',
path=filename)
else:
plotst_dir = os.path.dirname(plotst_path)
if os.path.isdir(plotst_dir) == False:
os.makedirs(plotst_dir)
st.plot(outfile=plotst_path)
print_logs(job='save_trace',
content=single_cha_contents,
status='ok',
path=filename)
now = dt.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
try:
ppsd_path = get_path(my_storage,
PPSD_DIRNAME,
single_cha_contents,
starttime,
endtime,
extension_file='npz')
filename = os.path.basename(ppsd_path)
if os.path.isfile(ppsd_path) == True:
print_logs(job='save_ppsd',
content=single_cha_contents,
status='exist',
path=filename)
else:
ppsd_dir = os.path.dirname(ppsd_path)
if os.path.isdir(ppsd_dir) == False:
os.makedirs(ppsd_dir)
tr = st[0]
ppsd = PPSD(tr.stats, metadata=inv, **ppsd_restrictions.__dict__)
ppsd.add(st)
if ppsd_restrictions.time_of_weekday != None:
ppsd.calculate_histogram(
time_of_weekday=ppsd_restrictions.time_of_weekday)
ppsd.save_npz(ppsd_path)
print_logs(job='save_ppsd',
content=single_cha_contents,
status='ok',
path=filename)
except:
print_logs(job='save_ppsd',
content=single_cha_contents,
status='exist',
path=filename)
from obspy.signal import PPSD
from obspy.core.utcdatetime import UTCDateTime
from obspy.clients.fdsn import Client
from obspy.imaging.cm import pqlx
client = Client("IRIS")
st = client.get_waveforms(network="IU",
station="ANMO",
location="00",
channel="LHZ",
starttime=UTCDateTime("2010-03-25T06:00:00.000"),
endtime=UTCDateTime("2010-03-29T14:00:00.000"))
print(st)
inv = client.get_stations(network="IU",
station="ANMO",
location="00",
channel="LHZ",
starttime=UTCDateTime("2010-03-25T06:00:00.000"),
endtime=UTCDateTime("2010-03-29T14:00:00.000"),
level="response")
tr = st[0]
ppsd = PPSD(tr.stats, inv, time_of_weekday=[(-1, 0, 2), (-1, 22, 24)])
ppsd.add(st)
ppsd.calculate_histogram(time_of_weekday=[(-1, 0, 2), (-1, 22, 24)])
# print("acabe")
# ppsd.plot()
# print(ppsd.times_processed)
ppsd.plot("prove.jpg", cmap=pqlx)
# ppsd = PPSD.load_npz("/home/ecastillo/SANL_results/CM.BAR2.10.HNZ/MassPPSD/CM.BAR2.10.HNZ__20190101T000000Z__20190104T000000Z.npz")
# ppsd.plot("prove.jpg",cmap=pqlx)
