from owslib.sos import SensorObservationService
from owslib.swe.observation.sos200 import SOSGetObservationResponse
from IPython.core.display import HTML

service = SensorObservationService('http://www.bom.gov.au/waterdata/services',version='2.0.0')

str =''
for prop in service.observed_properties:
    str += '<li>' + prop.replace('http://bom.gov.au/waterdata/services/parameters/','') + '</li>'
HTML(str)

response = service.get_observation(featureOfInterest='http://bom.gov.au/waterdata/services/stations/181.1',
                                   offerings=['http://bom.gov.au/waterdata/services/tstypes/Pat4_PC_1'],
                                   observedProperties=['http://bom.gov.au/waterdata/services/parameters/Water Course Discharge'],
                                   eventTime='om:phenomenonTime,2016-01-01T00:00:00+10/2016-03-05T00:00:00+10')

%matplotlib inline
from owslib.etree import etree
import pandas as pd
from pandas import Series

et = etree.fromstring(response)
parsed_response = SOSGetObservationResponse(et)

for o in parsed_response.observations[0:2]:
    series = o.get_result()
    dates = [p.datetime for p in series]
    values = [p.value for p in series]  
    
    series = pd.Series(values, index=dates)
    series.plot()