def get_eventslist():
# -- Get list of events
# find_datasets(catalog='GWTC-1-confident',type='events')
eventlist = datasets.find_datasets(type='events')
eventlist = [name.split('-')[0] for name in eventlist if name[0:2] == 'GW']
eventset = set([name for name in eventlist])
eventlist = list(eventset)
eventlist.sort()
return eventlist
@st.cache #-- Magic command to cache data
def load_gw(t0, detector):
strain = TimeSeries.fetch_open_data(detector,
t0 - 14,
t0 + 14,
cache=False)
return strain
st.sidebar.markdown("## Select Data Time and Detector")
# -- Get list of events
# find_datasets(catalog='GWTC-1-confident',type='events')
eventlist = datasets.find_datasets(type='events')
eventlist = [name.split('-')[0] for name in eventlist if name[0:2] == 'GW']
eventset = set([name for name in eventlist])
eventlist = list(eventset)
eventlist.sort()
#-- Set time by GPS or event
select_event = st.sidebar.selectbox('How do you want to find data?',
['By event name', 'By GPS'])
if select_event == 'By GPS':
# -- Set a GPS time:
str_t0 = st.sidebar.text_input('GPS Time', '1126259462.4') # -- GW150914
t0 = float(str_t0)
st.sidebar.markdown("""
key0 = list(data.keys())[0]
try:
dataarray = data['Overall_posterior'][()]
waveform = 'Overall_posterior'
except:
dataarray = data[key0][()]
waveform = key0
return dataarray, waveform
st.sidebar.markdown("## Select Data Time and Detector")
# -- Get list of events
# find_datasets(catalog='GWTC-1-confident',type='events')
eventlist = datasets.find_datasets(type='events', catalog='GWTC-1-confident')
eventlist = [name.split('-')[0] for name in eventlist if name[0:2] == 'GW']
eventset = set([name for name in eventlist])
eventlist = list(eventset)
eventlist.sort()
chosen_event = st.sidebar.selectbox('Select Event', eventlist)
t0 = datasets.event_gps(chosen_event)
detectorlist = list(datasets.event_detectors(chosen_event))
detectorlist.sort()
#-- Choose detector as H1, L1, or V1
detector = st.sidebar.selectbox('Detector', detectorlist)
# Create a text element and let the reader know the data is loading.
strain_load_state = st.text('Loading data...this may take a minute')